研究業績 

著書

1. 「高密度実装における検査技術・装置ハンドブック」, （社）国際都市コミュニケーションセンター, 東京, 第５章, 第１節, pp.323-328, 2001.（分担執筆）

2. 藤田保健衛生大学 医療科学部 放射線学科（編）,「放射線技師国家試験完全マスター」, オーム社, 第6編, 東京, pp.172-214, 2009.（分担執筆）

3. 石田 隆行, 桂川 茂彦, 藤田 広志（監修）,「医用画像ハンドブック」, オーム社, 東京, 第２編 2.7.3, 5.2, 2010.（分担執筆）

4. 桂川 茂彦（監修）,「実践　医用画像解析ハンドブック」, オーム社, 東京, 2.4.1, 2012.（分担執筆）

5. A. Teramoto and H. Fujita, “Automated lung nodule detection using positron emission tomography/computed tomography,” in Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging, K. Suzuki and Y. Chen, Eds. Cham, Switzerland; Springer International Publishing AG, pp.87-110, 2018.（分担執筆）

6. 藤田広志,寺本篤司, 岡部哲夫（編),「医用画像情報工学」, 医歯薬出版, 東京, 2018.（編集, 分担執筆）

7. 石田 隆行（監修）,「よくわかる医用画像情報学」, オーム社, 東京, pp.119-132, 2018.（分担執筆）

8. 藤田広志（監修・編）「医用画像ディープラーニング入門」,オーム社, 東京, Chapter 2-3, 2019.（分担執筆）

9. A.Teramoto, A.Yamada, T.Tsukamoto, K.Imaizumi, H.Toyama, K.Saito, H.Fujita, "Decision support system for lung cancer using PET/CT and microscopic images," in Deep Learning in Medical Image Analysis, Advances in Experimental Medicine and Biology 1213, G.Lee and H.Fujita (eds), Switzerland; Springer Nature Switzerland AG, pp.73-94, 2019.

10. 藤田広志（企画・監修）,「学ぶ！ 究める！ 医療AI　ディープラーニングの基礎から研究最前線まで」, pp.34-38, インナービジョン, 東京, 2020. （分担執筆）

11. 藤田広志（監修・編）「2020-2021年版 はじめての医用画像ディープラーニング -基礎・応用・事例-」,Chapter 2~3,23, オーム社, 東京, 2020.（分担執筆）

12. H.Fujita, T.Hara, X.Zhou, A.Teramoto, N.Kamiya, D.Fukuoka, C.Muramatsu, “Chapter 9: Function integrated diagnostic assistance based on MCA models,” Multidisciplinary Computational Anatomy: Toward Integration of Artificial Intelligence with MCA-based Medicine, M.Hashizume (eds.), Switzerland; Springer Nature Switzerland AG, pp.67-77, 2021.（分担執筆）

13. 藤田広志(編), 寺本篤司, 篠原範充, 久保田一徳 (著), 「乳がん診療に活かす　やさしいAI入門」, 中外医学社, 東京, pp.1-44, 2022. （分担執筆）

14. 杜下淳次（編）「医用画像情報学」, 南山堂, 東京, pp.288-309, 2023. （分担執筆）

15. 寺本篤司, 藤田広志（編),「医療画像情報工学 第２版」, 医歯薬出版, 東京, pp. 2-3, 34-38, 101-107, 131-143, 210-215, 2023.（編集, 分担執筆）

学術論文

1. 寺本篤司, 堀場勇夫, 杉江昇, 原田潤太, "局所選択型ニューラルフィルタによるＭＲ像の画質改善," 情報処理学会論文誌, Vol.39, No.11, pp.2988-2996, 1998.[査読有]

2. 山口博司, 寺本篤司, 伊里年生, 堀場勇夫, 杉江昇, "エネルギーサブトラクション法を用いたCSPはんだ接続部の抽出," 電気学会論文誌，Vol. 120-C, No.1, pp.34-39, 2000.[査読有]

3. 寺本篤司, 堀場勇夫, "Ｘ線エネルギサブトラクションによるCSP実装基板のはんだ成分抽出," エレクトロニクス実装学会誌, Vol.4, No.1, pp.68-71, 2001.[査読有]

4. 寺本篤司, 村越貴行, 堀場勇夫, "Ｘ線を用いた高速・高精度はんだバンプ検査手法の開発," 電気学会論文誌，Vol.125-D, No.6, pp.652-658, 2005.[査読有]

5. 寺本篤司, 村越貴行, 津坂昌利, 藤田広志, "はんだバンプに発生した微小ボイドの自動検出," 電気学会論文誌，Vol.126-D, No.11, pp.1514-1521, 2006.[査読有]

6. A.Teramoto, T.Murakoshi, M.Tsuzaka, H.Fujita, "Automated X-ray Inspection method for Fillet-less Mounted Chip Components," IEEJ Transactions of Electrical & Electronic Engineering, Vol.2, No.2, pp.195-197, 2007.[査読有]

7. A.Teramoto, T.Murakoshi, M.Tsuzaka, H.Fujita, "Development of High Speed Oblique X-ray CT System for Printed Circuit Board," SICE Transactions on Industrial Application, Vol.6, No.9, pp.72-77, 2007.[査読有]

8. A.Teramoto, T.Murakoshi, M.Tsuzaka, H.Fujita, "Automated solder inspection technique for BGA-mounted substrates by means of oblique computed tomography," IEEE Transactions on Electronics Packaging Manufacturing, Vol.30, No.4, pp.285-292, 2007.[査読有]

9. 寺本篤司, 山田宗男, 村越貴行, 津坂昌利, 藤田広志, "傾斜型CTを用いた高密度実装基板解析,"　エレクトロニクス実装学会誌, Vol.10, No.7, pp.528-532, 2007.[査読有]

10. 野口健二, 寺本篤司, 山田宗男, 村越貴行, "傾斜型X線CTを用いたBGAはんだ接合部の異物検査手法," エレクトロニクス実装学会誌, Vol.13, No.1, pp.63-70, 2010.[査読有]

11. K.Noguchi, T.Murakoshi, A.Teramoto, M.Yamada, "Inspection Technique of Foreign Objects in BGA Solder Joint Using Oblique X-ray Computed Tomography," SMT Korea, Vol.11, No.4, pp.35-42, 2010.[査読無]

12. A.Teramoto, T.Kajihara, S.Suzuki, K.Kinoshita, M.Tsuzaka, H.Fujita, "Development of Quality Control System for Flat Panel Detectors," Radiological Physics and Technology, Vol.4, No.2, pp.164-172, 2011.[査読有]

13. 寺本篤司, 尾崎香帆, 宮下真梨子, 大野智之, 津坂昌利, 藤田広志, 小原健, "放射線技師教育用コーンビームCTシステムの開発," 日本放射線技術学会雑誌, Vol.67, No.9, pp.1200-1208, 2011.[査読有]

14. 大野智之, 寺本篤司, 鈴木昇一, 小原健, 津坂昌利, 藤田広志, "高分解能乳房専用CTに関する初期的検討：実験用装置の開発と評価," 医用画像情報学会雑誌, Vol.29, No.2, pp.39-42, 2012.[査読有]

15. 吉川るり葉, 寺本篤司, 松原友子, 藤田広志, "複数のガボールフィルタを用いた乳房X線画像における乳腺構造解析と構築の乱れの検出,” Medical Imaging Technology, Vol.30, No.5, pp.287-292, 2012.[査読有]

16. 池谷 愛, 寺本篤司, 原武史, 藤田広志, "円筒型フィルタと肺の構造解析による胸部CT画像からの結節検出," Medical Imaging Technology, Vol.30, No.5, pp.293-297, 2012.[査読有]

17. A.Teramoto, H.Fujita, "Fast Lung Nodule Detection in Chest CT Images Using Cylindrical Nodule-enhancement Filter," International Journal of Computer Assisted Radiology and Surgery, Vol.8, No.2, pp.192-205,2013.[査読有]

18. A.Teramoto, H.Fujita, K.Takahashi, O.Yamamuro, T.Tamaki, M.Nishio, T.Kobayashi, "Hybrid method for the detection of pulmonary nodules using positron emission tomography / computed tomography: A preliminary study," International Journal of Computer Assisted Radiology and Surgery, Vol.9, No.1, pp.59-69, 2014.[査読有]

19. 村田千佳, 寺本篤司, 藤田広志, "ディジタル一眼レフカメラを用いた簡易カラー光CT装置の開発,” 日本写真学会誌, Vol.77, No.2, pp.83-86, 2014.[査読有]

20. A.Teramoto, T.Ohno, F.Hashimoto, C.Murata, K.Takahashi, H.Fujita, "Basic study on the development of a high-resolution breast CT,” Lecture Note in Computer Science 8539, pp.494-500, 2014.[査読有, springer book]

21. R.Yoshikawa, A.Teramoto, T.Matsubara, H.Fujita, "Automated detection of architectural distortion using improved adaptive Gabor filter,” Lecture Note in Computer Science 8539, pp.606-611, 2014.[査読有, springer book]

22. 寺本篤司, "PET/CT画像を用いたコンピュータ支援診断技術 ," 医用画像情報学会雑誌, Vol. 31, No. 2, pp.vi-ix, 2014.[査読無]

23. 大澤慎也, 村田千佳, 橋本二三生, 寺本篤司, 藤田広志, "近赤外光CTに関する基礎的検討―ディジタル一眼レフカメラを用いた実験装置の開発―,"医用画像情報学会雑誌, Vol.32, No.2, pp.44-47, 2015.[査読有]

24. 寺本篤司, 小林美早紀, 大塚智子, 山崎瑞季, 安野秦史, 藤田広志, "乳房Ｘ線画像を用いた乳腺割合の自動測定に関する基礎的検討〜ガボールフィルタによる乳腺構造の自動抽出〜,"医用画像情報学会雑誌, Vol.32, No.3, pp.63-67, 2015.[査読有]

25. 山崎瑞季, 大塚智子, 寺本篤司, 藤田広志, "アイリスフィルタとガボールフィルタを併用した乳房X線画像における構築の乱れの自動検出手法,” Medical Imaging Technology, Vol.33, No.5, pp.197-202, 2015.[査読有]

26. 宮條さとみ, 寺本篤司, 山室 修, 大見久美子, 西尾正美, 藤田広志, "ダイナミック乳腺MR画像における腫瘍範囲の自動解析に関する基礎的検討−正常乳腺および後期相の信号値上昇を考慮した浸潤範囲の同定−,” 医用画像情報学会雑誌, Vol.32, No.4, pp.1xi-1xvi, 2015.[査読有]

27. 橋本二三生，寺本篤司，浅田恭生, 鈴木昇一, 藤田広志, "2次元領域設定型CT装置の開発-アクティブコリメータを搭載した実験装置の製作と基礎的評価-," Medical Imaging Technology, Vol.34, No.2, pp.123-127, 2016.[査読有]

28. 大塚智子, 寺本篤司, 浅田恭生, 鈴木昇一, 藤田広志, 神谷悟, 安野泰史,"乳房X線撮影における乳腺画像解析を用いた平均乳腺線量算出の試み,” 日本放射線技術学会雑誌, Vol.72, No.5, pp.389-395, 2016.[査読有]

29. A.Teramoto, H.Fujita, O.Yamamuro, T.Tamaki, "Automated detection of pulmonary nodules in PET/CT images: ensemble false-positive reduction using a convolutional neural network technique," Medical Physics, Vol.43, No.6, pp.2821-2827, 2016.[査読有]

30. M.Yamazaki, A.Teramoto, H.Fujita, "A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter," Lecture Note in Computer Science, pp.174-182, 2016.[査読有, springer book]

31. A.Teramoto, S.Miyajo, H.Fujita, O.Yamamuro, K.Omi, M.Nishio, "Automated analysis of breast tumour in the breast DCE-MR images using level set method and selective enhancement of invasive regions," Lecture Note in Computer Science, pp.439-445, 2016. [査読有, springer book]

32. F.Hashimoto, A.Teramoto, Y.Asada, S.Suzuki, H.Fujita, "Dose reduction technique in diagnostic X-ray computed tomography by use of 6-channel multi leaf collimators,” Radiological Physics and Technology, Vol.10, No.1, pp.60-67, 2017.[査読有]

33. 野口健二, 高橋聡, 鈴木大介, 寺本篤司, "X線CT画像における逐次近似的手法を用いた撮像位置のずれ推定による画質改善手法," 電気学会論文誌D, Vol.137, No.3, pp.213-219, 2017. [査読有]

34. 箕浦菜月, 寺本篤司, 高橋克彰, 山室修, 西尾正美, 玉木恒男, 藤田広志, "PET/CT画像を用いた乳房領域の抽出と乳腺腫瘍および腋窩転移の自動検出の試み," Medical Imaging Technology, Vol.35, No.3, pp.158-166, 2017. [査読有]

35. 寺本篤司, "肺結節自動検出処理におけるディープラーニング応用,” 医用画像情報学会雑誌, Vol.34, No.2, pp.54-56, 2017. [査読無]

36. A.Teramoto, T.Tsukamoto, Y.Kiriyama, H.Fujita, "Automated classification of lung cancer types from cytological images using deep convolutional neural networks," BioMed Research International, vol. 2017, Article ID 4067832, pp.1-6, 2017. [査読有]

37. M.Tsujimoto, A.Teramoto, S.Ota, H.Toyama, H.Fujita, "Automated segmentation and detection of increased uptake regions in bone scintigraphy using SPECT/CT images,” Annals of Nuclear Medicine, Vol.32, pp.197-205, 2018. [査読有]

38. A.Yamada, A.Teramoto, K.Kudo, T.Otsuka, H.Anno, H.Fujita, "Basic study on the automated detection method of skull fracture in head CT images using surface selective black-hat transform,” Journal of Medical Imaging and Health Informatics, Vol.8, No.5, pp.1069-1076,2018. [査読有]

39. M.Tsujimoto, S.Shirakawa, A.Teramoto, M.Ishiguro, K.Nakane, Y.Ida, H.Toyama, "Fluctuation of quantitative values on acquisition time and the reconstruction conditions in 99mTc-SPECT", Nuclear Medicine Communications, Vol.39, No.7, pp.601-609,2018.[査読有]

40. 寺本篤司, 齋藤茂芳, "マイクロCTの開発と前臨床研究への応用," 日本放射線技術学会雑誌, Vol.74, No.8, pp.813-817, 2018.[査読無]

41. T.Aoyama, H.Shimizu, I.Shimizu, A.Teramoto, N.Kaneda, K.Nakamura, M.Nakamura, T.Kodaira, "Geometric distortion in magnetic resonance imaging systems assessed using open source plugin for scientific image analysis," Radiological Physics and Technology, Vol.11, No.4, pp.467-472, 2018.[査読有]

42. A.Teramoto, M.Tsujimoto, T.Inoue, T.Tsukamoto, K.Imaizumi, H.Toyama, K.Saito, H.Fujita, "Automated classification of pulmonary nodules through a retrospective analysis of conventional CT and two-phase PET images in patients undergoing biopsy,” Asia Oceania Journal of Nuclear Medicine and Biology, Vol.7, No.1, pp.29-37, 2018. [査読有]

43. Y.Onishi, A.Teramoto, M.Tsujimoto, T.Tsukamoto, K.Saito, H.Toyama, K.Imaizumi, H.Fujita, “Automated pulmonary nodule classification in computed tomography images using a deep convolutional neural network trained by generative adversarial networks,” BioMed Research International, Vol.2019, Article ID 6051939, pp.1-9, 2019. [査読有]

44. 寺本篤司, "放射線診断領域における人工知能の応用," 癌と化学療法, Vol.46, No.3, pp.418-422, 2019.[査読無]

45. A.Okabe, Y.Kiriyama, S.Suzuki, K.Sakurai, A.Teramoto, H.Kato, A.Naiki-Ito, S.Tahara, S.Takahashi, M.Kuroda, A.Sugioka, T.Tsukamoto,"Short-term detection of gastric genotoxicity using the DNA double-strand break marker γ-H2AX," Journal of Toxicologic Pathology, Vol.32, No.2, 2019.[査読有]

46. 腰高美穂, 榎本和馬, 寺本篤司, 藤田広志, "深層畳み込みニューラルネットワークを用いた乳房X線画像の乳腺濃度自動分類に関する予備的検討," 医用画像情報学会雑誌, 36(2), pp.88-92, 2019.[査読有]

47. N.Minoura, A.Teramoto, A.Ito, O.Yamamuro, M.Nishio, K.Saito, H.Fujita,"A complementary scheme for the automated detection of high-uptake regions on dedicated breast PET images and whole-body PET/CT images,” Radiological Physics and Technology, Vol.12, No.3, pp.260-267, 2019. [査読有]

48. N.Matsubara, A.Teramoto, K.Saito, H.Fujita, "Generation of pseudo chest X-ray images from computed tomographic images by nonlinear transformation and bone enhancement,” Medical Image and Information Sciences, Vol.36, No.3, pp.141-146, 2019. [査読有]

49. A.Teramoto, A.Yamada, Y.Kiriyama, T.Tsukamoto, K.Yan, L.Zhang, K.Imaizumi, K.Saito, H.Fujita, "Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network," Informatics in Medicine Unlocked,Vol.16, 100205, 2019. [査読有]

50. F.Hashimoto, H.Ohba , K.Ote, A.Teramoto, H.Tsukada, "Dynamic PET Image Denoising Using Deep Convolutional Neural Networks without Prior Training Datasets," IEEE access 7:96594 - 96603, 2019. [査読有]

51. 山田あゆみ, 寺本篤司, 桐山諭和, 塚本徹哉, 今泉和良, 星雅人, 齋藤邦明, 藤田広志, "液状細胞診画像と患者情報の併用による肺癌組織型自動分類の基礎的検討," Medical Imaging Technology, Vol.37, No.5, pp.230-234, 2019.[査読有]

52. A.Sakai, Y.Onishi, M.Matsui, H.Adachi, A.Teramoto, K.Saito, H.Fujita,“A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features,” Radiological Physics and Technology, Vol.13, No.1, pp.27-36, 2020.[査読有]

53. Y.Onishi, A.Teramoto, M.Tsujimoto, T.Tsukamoto, K.Saito, H.Toyama, K.Imaizumi, H.Fujita, "Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks," International Journal of Computer Assisted Radiology and Surgery, Vol.15, No.1, pp.173-178, 2020. [査読有]

54. N.Matsubara, A.Teramoto, K.Saito, H.Fujita, "Bone suppression for chest X-ray image using a convolutional neural filter," Physical and Engineering Sciences in Medicine, Vol.43, pp.97–108,2020. [査読有]

55. A.Teramoto, T.Tsukamoto, A.Yamada, Y.Kiriyama, K.Imaizumi, K.Saito, H.Fujita, "Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks,” PLOS ONE, Vol.15, No.3:e0229951, 2020. [査読有]

56. F.Hashimoto, K.Ote, T.Oida, A.Teramoto, Y.Ouchi, “Compressed-sensing Magnetic Resonance Image Reconstruction Using Iterative Convolutional Neural Network Approach,” Applied Sciences,10(6):1902, 2020.[査読有]

57. 西原裕盛, 小林正尚, 斉藤大貴, 羽場友信, 浅田恭生, 寺本篤司, "多時相CT 撮影におけるX 線管の撮影開始角度が 局所吸収線量へ及ぼす影響," 日本放射線技術学会雑誌, Vol.76, No.4, pp.346-355, 2020.[査読有]

58. 魚住春日, 松原尚輝, 寺本篤司, 日木あゆみ, 本元強, 河野達夫, 齋藤邦明, 藤田広志, "Mask R-CNNを用いた小児胸部X線画像における肺領域の自動抽出,” Medical Imaging Technology, Vol.38, No.3, pp.126-131, 2020. [査読有]

59. Y.Onishi, A.Teramoto, M.Tsujimoto, T.Tsukamoto, K.Saito, H.Toyama, K.Imaizumi, H.Fujita, "Investigation of Pulmonary Nodule Classification Using Multi-Scale Residual Network Enhanced with 3DGAN-Synthesized Volumes,” Radiological Physics and Technology,13(2), 160-169, 2020. [査読有]

60. T.Shibata, A.Teramoto, H.Yamada, N.Ohmiya, K.Saito, H.Fujita, ”Automated Detection and Segmentation of Early Gastric Cancer from Endoscopic Images Using Mask R-CNN,” Applied Sciences,Vol.10, No.11, 3842, 2020. [査読有]

61. K.Ote, F.Hashimoto, A.Kakimoto, T.Isobe, T.Inubushi, R.Ota, A.Tokui, A.Saito, T.Moriya, T.Omura, E.Yoshikawa, A.Teramoto, Y.Ouchi , “Kinetics-Induced Block Matching and 5D Transform Domain Filtering for Dynamic PET Image Denoising,” IEEE Transactions on Radiation and Plasma Medical Sciences, Vol.4, No.6, pp.720-728, 2020. [査読有]

62. A.Yamada, A.Teramoto, M.Hoshi, H.Toyama, K.Imaizumi, K.Saito, H.Fujita, "Hybrid Scheme for Automated Classification of Pulmonary Nodules Using PET/CT Images and Patient Information," Applied Sciences, Vol.10, No.12, 4225, 2020.[査読有]

63. M.Sumitomo, A.Teramoto, R.Toda, N.Fukami, K.Fukaya, K.Zennami, M.Ichino, K.Takahara, M.Kusaka, R.Shiroki, "Deep learning using preoperative MRI information to predict early recovery of urinary continence after robot-assisted radical prostatectomy," International Journal of Urology, Vol.27, pp.922-928, 2020. [査読有]

64. R.Kimura, A.Teramoto, T.Ohno, K.Saito, H.Fujita, "Virtual Digital Subtraction Angiography Using Multizone Patch-based U-Net," Physical and Engineering Science in Medicine, Vol.43, pp.1305-1315, 2020. [査読有]

65. 藤田広志, 原武史, 周向栄, 寺本篤司, 神谷直希, “多元計算解剖モデルを利用した臓器・組織機能診断支援システム,” Medical Imaging Technology, Vol.38, No.4, pp.155-162,2020 [査読無]

66. R.Toda, A.Teramoto, M.Tsujimoto, H.Toyama, K.Imaizumi, K.Saito, H.Fujita, "Synthetic CT Image Generation of Shape-Controlled Lung Cancer using Semi-Conditional InfoGAN and Its Applicability for Type Classification," International Journal of Computer Assisted Radiology and Surgery, Vol.16, pp.241-251, 2021. [査読有]

67. M.Tsujimoto, S.Shirakawa, M.Watanabe, A.Teramoto, M.Uno, S.Ota, R.Matsukiyo, T.Okui,Y.Kobayashi, H.Toyama, “Two- versus three-dimensional regions of interest for quantifying SPECT-CT images,” Physical and Engineering Sciences in Medicine, Vol.44, No.2, pp.365-375, 2021.[査読有]

68. A.Teramoto, A.Yamada, T.Tsukamoto, Y.Kiriyama, E.Sakurai, K.Shiogama, A.Michiba, K.Imaizumi, K.Saito, H.Fujita, "Mutual Stain Conversion between Giemsa and Papanicolaou in Cytological Images Using Cycle Generative Adversarial Network”, Heliyon, Vol.7, No.2, e06331, 2021.[査読有]

69. M.Tsujimoto, A.Teramoto, M.Dosho, S.Tanahashi, A.Fukushima, S.Ota, Y.Inui, R.Matsukiyo, Y.Obama, H.Toyama, "Automated classification of increased uptake regions in bone SPECT/CT images using three-dimensional deep convolutional neural network," Nuclear Medicine Communications, Vol.42, No.8, pp.877-883, 2021.[査読有]

70. T.Hayakawa, A.Teramoto, Y.Kiriyama, T.Tsukamoto, A.Yamada, K.Saito, H.Fujita, "Development of pathological diagnosis support system using micro-computed tomography," Acta Histochemica et Cytochemica, Vol.54, No.2, pp.49-55, 2021.[査読有]

71. 寺本篤司, "敵対的生成ネットワークによる肺結節CT画像の生成とAI-CADへの応用," 医用画像情報学会雑誌, Vol.38, No.2, pp.80-88, 2021. [査読無]

72. 魚住春日, 寺本篤司, 日木あゆみ, 本元 強, 河野達夫, 齋藤邦明, 藤田広志, "Mask R-CNNとRadiomic特徴量を用いた胸部X線画像における小児肺炎の検出," 医用画像情報学会雑誌, Vol.38, No.2, pp.57-58, 2021. [査読有]

73. H.Yamashiro, A.Teramoto, K.Saito, H.Fujita, "Development of a fully automated glioma-grading pipeline using post-contrast T1-weighted images combined with cloud-based 3D convolutional neural network,” Applied Sciences, 2021, Vol,11, 5118. [査読有]

74. N.Takeuchi, A.Teramoto, K.Imaizumi, K.Saito, H.Fujita, ”Analysis of Idiopathic Interstitial Pneumonia in CT Images U ing 3D U-Net,” Medical Image and Information Sciences, No.38, Vol.3, pp.126-131, 2021. [査読有]

75. A.Teramoto, Y.Kiriyama, T.Tsukamoto, E.Sakurai, A.Michiba, K.Imaizumi, K.Saito, H.Fujita, “Weakly Supervised Learning for Classification of Lung Cytological Images Using Attention-Based Multiple Instance Learning,” Scientific Reports, 11:20317, 2021. [査読有]

76. Y.Doi, A.Teramoto, A.Yamada, M.Kobayashi, K.Saito, H.Fujita,“Estimating subjective evaluation of low-contrast resolution using convolutional neural networks,” Physical and Engineering Sciences in Medicine, Vol.44, pp.1285–1296, 2021. [査読有]

77. 寺本篤司, "人工知能の基礎と臨床検査学領域への応用," 臨床検査学教育, Vol.14, No.1, pp.55-59, 2022. [査読無]

78. A.Teramoto, T.Shibata, H.Yamada, Y.Hirooka, K.Saito, H.Fujita, "Automated Detection of Gastric Cancer by Retrospective Endoscopic Image Dataset Using U-Net R-CNN,” Applied Sciences, Vol.11, 11275, 2021. [査読有]

79. M.Yoshida, A.Teramoto, K.Kudo, S.Matsumoto, K.Saito, H.Fujita, "Automated extraction of cerebral infarction region in head MR image using pseudo cerebral infarction image by CycleGAN," Applied Sciences, Vol.12, 489, 2022. [査読有]

80. R.Muraki, A.Teramoto, K.Sugimoto, K.Sugimoto, A.Yamada, E.Watanabe, "Automated detection scheme for acute myocardial infarction using convolutional neural network and long short-term memory," PLOS ONE, Vol.17, No.2, e0264002, 2022. [査読有]

81. T.Tsukamoto, A.Teramoto, A.Yamada, Y.Kiriyama, E.Sakurai, A.Michiba, K.Imaizumi, H.Fujita, "Comparison of fine-tuned deep convolutional neural networks for the automated classification of lung cancer cytology images with integration of additional classifiers," Asian Pacific Journal of Cancer Prevention, Vol.23, No.4, pp.1315-1324. [査読有]

82. 大下悠樹, 竹内野々子, 寺本篤司, 近藤征史, 今泉和良, 齋藤邦明, 藤田広志, "CT画像を用いた肺がん患者の予後予測:畳み込みニューラルネットワークによる特徴量抽出と機械学習法による予測," 日本放射線技術学会雑誌, Vol.78, No.8, pp.829-837, 2022. [査読有]

83. A.Watanabe, A.Teramoto, D.Hirose, "Automated Detection of Infusion and catheter Hub in Movies of Nurses’ Observation Scenes Using Deep Learning," Journal of Nursing Science and Engineering, Vol.9, pp.211-221,2022. [査読有]

84. R.Toda, A.Teramoto, M.Kondo, K.Imaizumi, K.Saito, H.Fujita, "Lung Cancer CT Image Generation from a Free-Form Sketch Using Style-Based Pix2pix for Data Augmentation,” Scientific Reports, Vol.12,12867, 2022. [査読有]

85. A.Teramoto, T.Shibata, H.Yamada, Y.Hirooka, K.Saito, H.Fujita, "Detection and Characterization of Gastric Cancer Using Cascade Deep Learning Model in Endoscopic Images,” Diagnostics, Vol.12, No.8, 1996, pp.1-12, 2022. [査読有]

86. Y.Isobe, A.Teramoto, F.Morita, K.Saito, Hiroshi Fujita, "Fully Automated Electronic Cleansing Using CycleGAN in Computed Tomography Colonography,” Applied Sciences, 12, 10789, 2022. [査読有]

87. A.Teramoto, T.Tsukamoto, A.Michiba, Y.Kiriyama, E.Sakurai, K.Imaizumi, K.Saito, H.Fujita, “Automated Classification of Idiopathic Pulmonary Fibrosis in Pathological Images Using Convolutional Neural Network and Generative Adversarial Networks,” Diagnostics, Vol.12, No.12, 3195, 2022. [査読有]

88. A.Teramoto, A.Michiba, Y.Kiriyama, E.Sakurai, R.Shiroki, T.Tsukamoto, "Automated Classification of Urinary Cells: Using Convolutional Neural Network Pre-trained on Lung Cells," Applied Sciences, 13, 1763, 2023. [査読有]

89. T.Kondo, A.Teramoto, E.Watanabe, Y.Sobue, H.Izawa, K.Saito, H.Fujita, "Prediction of Short-Term Mortality of Cardiac Care Unit Patients Using Image-Transformed ECG Waveforms," IEEE Journal of Translational Engineering in Health and Medicine, Vol.11, pp. 191-198, 2023. [査読有]

90. 倉谷洋佑, 丹羽正厳, 寺本篤司, "頭頚部血管CT撮影支援システムの開発：非造影CT画像とCycle-GANを用いた擬似造影CT画像の生成," 医用画像情報学会雑誌, Vol.40, No.2, pp.30-37, 2023. [査読有]

91. W.Nakamura, M.Sumitomo, K.Zennami, M.Takanaka, M.Ichino, K.Takahara, A.Teramoto, R.Shiroki, "Combination of deep learning and ensemble machine learning using intraoperative video images strongly predicts recovery of urinary continence after robot-assisted radical prostatectomy," Cancer Reports, 6, e1861, 2023. [査読有]

92. 酒井彩加, 寺本篤司, 土井裕次郎,吉見 聡, 早川和恵 ,外山 宏, "畳み込みニューラルネットワークを用いた人工膝関節X線画像における整位合否判定システムの構築,"  医用画像情報学会雑誌, Vol.40, No.3, pp.48-55, 2023. [査読有]

93. A.Michiba, M.Gi, M.Yokohira, E.Sakurai, A.Teramoto, Y.Kiriyama, S.Yamada, H.Wanibuchi, T.Tsukamoto, "Early Detection of Genotoxic Hepatocarcinogens in Rats Using γH2AX and Ki-67: Prediction by Machine Learning," Toxicological Sciences, Vol.195, No.2, pp.202-222, 2023. [査読有]

94. Y.Suganuma, A.Teramoto, K.Saito, H.Fujita, Y.Suzuki, N.Tomiyama, S.Kido, "Hybrid multiple-organ segmentation method using multiple U-Nets in PET/CT images," Applied Sciences, 13, 10765, 2023. [査読有]

95. 近藤 輝将, 寺本 篤司, 渡邉 英一, 祖父江 嘉洋, 井澤 英夫, 齋藤 邦明, 藤田 広志, "心電図波形と臨床データを用いたマルチモーダル学習による CCU 患者の院内死亡予測," 医用画像情報学会雑誌, Vol.40, No.4, pp.98-104, 2023. [査読有]

96. 寺本 篤司, "畳み込みニューラルネットワークによる診断・治療のための意思決定支援技術," 医用画像情報学会雑誌, Vol.40, No.4, pp.88-90, 2023. [査読無]

97. 大羽史晃, 寺本篤司, 中村　渉, 住友　誠, 齋藤邦明, 藤田広志, "3DCNN と機械学習法を用いたロボット支援前立腺全摘除術における術後尿禁制予測," 医用画像情報学会雑誌, Vol.40, No.4, pp.105-113, 2023. [査読有]

98. M.Tsukijima, A.Teramoto, A.Kojima, O.Yamamuro, T.Tamaki, H.Fujita, "A position-adaptive noise-reduction method using a deep denoising filter bank for dedicated breast positron emission tomography images," Physical and Engineering Sciences in Medicine, Vol.47, pp.73-85, 2024. [査読有]

99. 寺本篤司, "−放射線技術研究におけるPythonの活用術− 12. 画像生成技術と医療への応用," 日本放射線技術学会雑誌, Vol.80, No.7, pp.769-773, 2024. [査読無]

100. A.Teramoto, Y.Kiriyama, A.Michiba, N.Yazawa, T.Tsukamoto, K.Imaizumi, H.Fujita, "Automated Generation of Lung Cytological Images from Image Findings Using Text-to-Image Technology," Computers, Vol.13, No.11, 303, 2024. [査読有]

101. H.Kotani, A.Teramoto, T.Ohno, Y.Sobue, E.Watanabe, H.Fujita, "Atrial Fibrillation Type Classification by Convolutional Neural Network Using Contrast-enhanced CT Images,” Computers, Vol.13, No.12, 309, 2024. [査読有]

102. G.Hirano, A.Teramoto, H.Takai, Y.Sasaki, K.Sugimoto, S.Matsumoto, K.Saito, H.Fujita, "Automated Scheme of Plaque Classification based on Segmentation in Carotid Ultrasound Images Using Transformer Approach," Journal of Medical Ultrasonics, Vol.52, No.3, pp.271-282, 2025. [査読有]

103. A.Teramoto, A.Michiba, Y.Kiriyama, T.Tsukamoto, K.Imaizumi, H.Fujita, "Automated Description Generation of Cytologic Findings for Lung Cytological Images Using a Pretrained Vision Model and Dual Text Decoders: Preliminary Study," Cytopathology, Vol.36, No.3, pp.240-249, 2025. [査読有]

104. N.Matsubara, A.Teramoto, N.Takei, Y.Kitoh, S.Kawakami, "Retaking assessment system based on the inspiratory state of chest X-ray image," Radiological Physics and Technology, Vol.18, pp.384-398, 2025. [査読有]

105. 寺本篤司, 桐山諭和, 道塲彩乃, 塚本徹哉, 藤田広志, "Stable Diffusionを用いた細胞診画像所見に基づく細胞像の自動生成," 医用画像情報学会雑誌, Vol.42, No.1, 2025. [査読無]

106. 渡邉奏汰, 柴田知行, 長谷川純一, 山田日向, 寺本篤司, "Contrastive Language-Image Pre-Trainingモデルを用いた上部消化管内視鏡画像の多クラス画像分類に関する予備的検討,” 医用画像情報学会雑誌, Vol.42, No.2, pp.15-20, 2025. [査読有]

107. 古谷陽菜, 寺本篤司, 大野智之, 祖父江嘉洋, 渡邉英一, 藤田広志, "左心房領域の切り出しに基づく造影CT画像を用いた心房細動病型分類処理の改良," 医用画像情報学会雑誌, Vol.42, No.2, pp.21-30, 2025. [査読有]

108. 松浦真能祐, 寺本篤司, 道塲彩乃, 桐山諭和, 塚本徹哉，藤田広志, "条件付き拡散モデルを用いた肺細胞診画像の生成," 医用画像情報学会雑誌, Vol.42 No.3, pp.49-56, 2025. [査読有]

109. M.Tsukijima, A.Teramoto, A.Kojima, O.Yamamuro, K.Oomi, H.Fujita, "Improved Denoising Scheme Using Three-Dimensional Multi-Zone Convolutional Neural Filters in Dedicated Breast Positron Emission Tomography Images," Radiological Physics and Technology, Vo.18, pp.1033-1042, 2025. [査読有]

110. M.Nagao, A.Teramoto, K.Urata, K.Imaizumi, M.Kondo, H.Fujita, "Preliminary Study on Image-Finding Generation and Classification of Lung Nodules in Chest CT Images Using Vision-Language Models,” Computers, Vol. 14, No.11, 489, 2025. [査読有]

111. K.Urata, M.Nagao, A.Teramoto, K.Imaizumi, M.Kondo, H.Fujita, "Generation of Chest CT pulmonary Nodule Images by Latent Diffusion Models using the LIDC-IDRI Dataset," arXiv, 2601.11085, 2026. [Preprint]

112. M.Nagao, K.Urata, A.Teramoto, K.Imaizumi, M.Kondo, H.Fujita, "Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotations," arXiv, 2601.11075, 2026. [Preprint]

113. A.Teramoto, Y.Kiriyama, T.Tsukamoto, N.Yazawa, K.Imaizumi, H.Fujita, “Cytological Image-Finding Generation Using Open-Source Large Language Models and a Vision Transformer,” Computers, Vol.15, No.2, 115, 2026. [査読有]

国際学会発表

1. A.Teramoto, I.Horiba, N.Sugie, "Improvement of Image Quality in MR Image using Adaptive K-nearest Neighbor Averaging Filter," Proceedings of International Conference Information, communication and Signal Processing, Vol.1, pp.190-194, Sep. 1997.

2. A.Teramoto, I.Horiba, N.Sugie, "Improvement of Image Quality in MR and CT images using Adaptive K-nearest Neighbor Averaging Filter," Proceedings of The International Conference on Signal Processing Applications & Technology, Vol.1, pp.677-681, Sep. 1997.

3. A.Teramoto, T.Murakoshi, M.Tsuzaka, H.Fujita, "Development of an Automated X-Ray Inspection Method for Microsolder Bumps," International Symposium on Electronics Materials and Packaging, pp.21-26, Dec. 2005.

4. A.Teramoto, T.Murakoshi, M.Tsuzaka, H.Fujita, "Development of an Automated Solder Inspection System using Oblique Computed Tomography with Neural Network," Proc. of InterPACK 2007, pp.1-5, July 2007.

5. A.Teramoto, T.Murakoshi, M.Tsuzaka, H.Fujita, "Automated Solder Inspection Method by Means of X-ray Oblique Computed Tomography," Proc. ICIP 2007, pp.V433-V436, Sep. 2007.[査読有]

6. A.Teramoto, M.Yamada, T.Murakoshi, M.Tsuzaka, H.Fujita, "Development of Bump Inspection System by Means of Oblique Computed Tomography," The 33rd Annual Conference of the IEEE Industrial Electronics Society, pp.2689-2693, Nov. 2007.[査読有]

7. A.Teramoto, M.Tsuzaka, T.Hara, H.Fujita, "High-Speed Detection Method of Solitary Nodules in 3D Chest CT images Based on Cylindrical Filter," IFMIA2009, pp.83-86, Jan., 2009.

8. A.Teramoto, T.Kajihara, S.Suzuki, K.Kinoshita, M.Tsuzaka, H.Fujita,"Degradation Mechanism and Daily Management System for FPD," AOCMP2009, Oct., 2009.

9. A.Teramoto, M.Tsuzaka, H.Fujita,"High-Speed Detection of Solitary Nodule in Chest CT Image: Cylindrical Filter and FP Reduction,"AOCMP2009, Oct. 2009.

10. A.Teramoto, T.Kajihara, S.Suzuki, K.Kinoshita, M.Tsuzaka, H.Fujita,"Evaluation Method for Flat Panel Detector," AOCR2010, Mar., 2010.

11. A.Teramoto, H.Fujita, "Automated Nodule Detection using Cylindrical Filter and FP Reduction in Chest CT Image : Performance Evaluation using Lung Nodule Imaging Database," AOCR2010, Mar., 2010.

12. A.Teramoto, N.Hayashi, H.Fujita, O.Yamamuro, Y.Tomita, K.Takahashi, S.Murata, T.Tamaki, S.Tamai, M.Nishio, T. Kobayashi, "Automated Detection of Lung Nodules in PET/CT Images: Preliminary Study", International Journal of Computer Assisted Radiology and Surgery, Vol.5, Suppl.1, pp.S209-210, June, 2010.

13. N.Hayashi, H.Fukuma, Y.Shibamoto, Y.Nishii, Y,Suzuki, H.Kato, A.Teramoto, M.Kawano, "Absorption Spectra of a New Radiochromic Film for Various Energies of Therapeutic Photon and Electron Beams", 2010 AAPM annual Meeting, pp. 3271, July 2010.

14. T.Ohno, K.Ozaki, A.Teramoto, K.Ohara, M.Tsuzaka, H.Fujita, "Imaging Capabilities of a Newly Developed Simple-structure Micro-CT System", 10th Asia-Oceania Congress of Medical Physics, pp.113, Oct. 2010.

15. K.Ozaki, T.Ohno, A.Teramoto, H.Fujita, M.Tsuzaka, "Development of Educational Software for Computed Tomography", 10th Asia-Oceania Congress of Medical Physics, pp.144-145, Oct, 2010.

16. Y.Hachiman, A.Teramoto, H.Fujita, O.Yamamuro, T.Kobayashi, M.Nishio, "Automated Breast Cancer Analysis in Breast MR Image: Shape Analysis of Involved Area Using Contrast-enhanced Breast MR Image", 10th Asia-Oceania Congress of Medical Physics, pp.109, Oct. 2010.

17. A.Teramoto, M.Koike, H.Fujita, Y.Tomita, K.Takahashi, O.Yamamuro, S.Tamai, T.Kobayashi, T.Tamaki, W.P.Chen, "Automated Scheme of Lung Nodule Detection for PET/CT Images: Preliminary Results Using Screening PET/CT Images", 10th Asia-Oceania Congress of Medical Physics, pp.109, Oct. 2010.

18. A.Teramoto, H.Fujita, Y.Tomita, K.Takahashi, O.Yamamuro, T.Tamaki, N.Hayashi, S.Tamai, M.Nishio, C.Wei-Ping, T.Kobayashi, "Hybrid CAD Scheme for Lung Nodule Detection in PET/CT images," Proc. of SPIE Medical Imaging, Vol. 7963, 796335-1-6, Feb. 2011.[査読有]

19. T.Ohno, A.Teramoto, K.Ohara, M.Tsuzaka, H.Fujita, "Development of a High-Resolution Breast CT System: Preliminary Study," 2011 AAPM annual Meeting, pp.3399-3400, July 2011.

20. A.Teramoto, H.Fujita, Y.Tomita, K.Takahashi, O.Yamamuro, S.Tamai, T.Kobayashi, T.Tamaki, "Computer-aided detection scheme of pulmonary nodules in PET/CT images," 11th Asia-Oceania Congress of Medical Physics, Sep. 2011.

21. T.Ohno, A.Teramoto, K.Ohara, M.Tsuzaka, H.Fujita, "Development and evaluation of high-resolution breast CT system," 11th Asia-Oceania Congress of Medical Physics, Sep. 2011.

22. A.Teramoto, H.Fujita, Y.Tomita, K.Takahashi, O.Yamamuro, S.Tamai, T.Kobayashi, T.Tamaki, "Computerized detection of lung nodules in PET/CT images based on hybrid method," KCR2011, Oct. 2011.

23. A.Ikeya, A.Teramoto, H.Fujita, "Development of automated nodule detection scheme in chest CT image by using the anatomical structure of the lungs," KCR2011, Oct. 2011.

24. Y.Yasui, A.Teramoto, H.Fujita, Y.Tomita, K.Takahashi, O.Yamamuro, S.Tamai, T.Kobayashi, T.Tamaki, "Automated analysis of change over time of lung nodules in PET/CT images," KCR2011, Oct. 2011.

25. R.Yoshikawa, T.Ohno, A.Teramoto, H.Fujita, "Automated analysis of architectural distortion in mammogram image using Gabor filter: Preliminary study," KCR2011, Oct. 2011.

26. T.Ohno, A.Teramoto, R.Yoshikawa, K.Ohara, M.Tsuzaka, H.Fujita, "Physical imaging properties of a newly developed high-resolutionBreast CT system, " KCR2011, Oct. 2011.

27. A.Teramoto, M.Koike, H.Fujita, Y.Tomita, K.Takahashi, O.Yamamuro, T.Tamaki, S.Tamai, N.Hayashi, M.Nishio, W.Chen, T.Kobayashi, "Automated Detection of Lung Nodules: Hybrid Scheme Using PET/CT Images," RSNA2011, Nov. 2011.

28. A.Teramoto, H.Fujita, Y.Tomita, K.Takahashi, O.Yamamuro, T.Tamaki, "Pulmonary nodule detection in PET/CT images: improved approach using combined nodule detection and hybrid FP reduction," Proc. SPIE Medical Imaging, Vol.8315, 83152V-1-6, Feb. 2012.[査読有]

29. A.Teramoto, H.Fujita, K.Takahashi, K.Ozaki, S.Murata, O.Yamamuro, T.Kobayashi, T.Tamaki, M.Nishio, "Development and evaluation of automated nodule detection in lung PET/CT images," IFMIA 2012, Nov.2012.

30. A.Ikeya, A.Teramoto, K.Noguchi, H.Fujita, "Basic study on phase contrast imaging using micro-focus X-ray source and flat panel detector," IFMIA 2012, Nov.2012.

31. R.Yoshikawa, A.Teramoto, T.Matsubara, H.Fujita, "Preliminary study on the detection of the architectural distortion using adaptive Gabor filter," IFMIA 2012, Nov.2012.

32. C.Murata, A.Teramoto, H.Fujita, "Preliminary study on color optical CT: development of experimental system," IFMIA 2012, Nov.2012.

33. A.Teramoto, T.Ohno, R.Yoshikawa, A.Ikeya, H.Fujita, "New prototype of high-resolution breast CT system: How much we can see the microstructure of breast?," RSNA2012, Nov. 2012.

34. A.Ikeya, A.Teramoto, K.Noguchi, H.Fujita, "Preliminary study on phase-contrast digital tomosynthesis: development and evaluation of experimental system," Proc. of SPIE Medical Imaging 2013: Computer-Aided Diagnosis, 8668, 866853-1 - 866853-6, 2013.[査読有]

35. R.Yoshikawa, A.Teramoto, T.Matsubara, H.Fujita, "Automated detection scheme of architectural distortion in mammograms using adaptive Gabor filter," Proc. of SPIE Medical Imaging 2013: Computer-Aided Diagnosis, 8670, 86701Z-1 - 86701Z-6, 2013.[査読有]

36. H.Fujita, T.Hara, X.Zhou, C.Muramatsu, N.Kamiya, M.Zhang, D.Fukuoka, Y.Hatanaka, T.Matsubara, A.Teramoto, Y.Uchiyama, H.Chen, H.Hoshi, "A01-3 Model construction for computational anatomy: Progress overview FY2012," Proc. of the Fourth International Symposium on the Project “Computational Anatomy”, pp.22-42, Feb. 2013.

37. A.Teramoto, H.Fujita, K.Takahashi, O.Yamamuro, T.Tamaki, M.Nishio, T.Kobayashi, "Hybrid method for the detection of pulmonary nodules using positron emission tomography / computed tomography: A preliminary study," CARS 2013, June 2013.

38. A.Ikeya, A.Teramoto, D.Suzuki, K.Noguchi, H.Fujita,"Detailed analysis of X-ray ohase-contrast effects," CARS 2013, June 2013.

39. R.Yoshikawa, A.Teramoto, T.Matsubara, H.Fujita, "Improved approach for improving the automated detection of architectural distortion using the adaptive Gabor filter," CARS 2013, June 2013.

40. R.Yoshikawa, S.Miyajyo, A.Teramoto, H.Fujita, K.Ozaki, O.Yamamuro, K.Ohmi, M.Nishio, "Automated scheme for the analysis of invasive regions of breast tumor using breast MR images," CARS 2013, June 2013.

41. D.Suzuki, K.Noguchi, T.Murakoshi, A.Teramoto, "Development of High-speed X-ray CT inspection system using X-ray line sensor," IEEE CPMT Symposium Japan 2013, Nov. 2013.

42. C.Murata, A.Teramoto, H.Fujita, "Educational system for radiologist and radiological technologist using optical CT: understanding of interest mechanism of CT," RSNA2013, Dec. 2013.

43. C.Murata, A.Teramoto, H.Fujita, "Preliminary study on color micro optical-CT:Development of experimental system,”The International Workshop on Advanced Image Technology, Jan. 2014.

44. A.Teramoto, K.Takahashi, K.Takahashi, O.Yamamuro, T.Tamaki, "Improved approach for the automated detection of lung tumor using PET/CT images,” The International Workshop on Advanced Image Technology, Jan. 2014.

45. H.Fujita, T.Hara, X.Zhou, C.Muramatsu, N.Kamiya, M.Zhang, D.Fukuoka, Y.Hatanaka, T.Matsubara, A.Teramoto, Y.Uchiyama, H.Chen, H.Hoshi, "A01-3 Model construction for computational anatomy: Progress overview FY2009-FY2013," Proc. of the Fifth International Symposium on the Project “Computational Anatomy”, pp.25-35, March 2014.

46. C.Murata, A.Teramoto, H.Fujita, ”Preliminary study on color micro optical-CT: Evaluation of experimental system using biological samples,” CARS2014, June. 2014.

47. C.Murata, F.Hashimoto, A.Teramoto, H.Fujita,"Educational system of computed tomography using optical computed tomography,” CARS2014, June. 2014.

48. A.Teramoto, M.Shibasaki, H.Fujita, R.Yoshikawa, C.Murata, S.Miyajyo, O.Yamamuro, K.Ohmi, M.Nishio, "Preliminary study on the automated analysis of mammary glands in breast MR images using three-dimensional Gabor filter,” CARS2014, June. 2014.

49. A.Teramoto, T.Ohno, F.Hashimoto, C.Murata, K.Takahashi, H.Fujita, "Basic study on the development of a high-resolution breast CT,” International Workshop on Breast Imaging, June. 2014.[査読有]

50. R.Yoshikawa, A.Teramoto, T.Matsubara, H.Fujita, "Automated detection of architectural distortion using improved adaptive Gabor filter,” International Workshop on Breast Imaging, June. 2014.[査読有]

51. H.Adachi, A.Teramoto, T.Otsuka, H.Fujita, “Preliminary study on automated analysis of mammary gland structure using dynamic contrast-enhanced magnetic resonance images of the breast,” AOCR2014, Sep. 2014.

52. F.Hashimoto, C.Murata, A.Teramoto, S.Suzuki, H.Fujita, “A basic study on region setting CT system: three-dimensional data collection and reconstruction using experimental system,” AOCR2014, Sep. 2014.

53. M.Tsujimoto, A.Teramoto, M.Ishiguro, Y.Kinomura, H.Toyama, H.Fujita, “Automated analysis of increased uptake regions in bone scintigraphy using SPECT/CT: Three-dimensional analysis technique and initial evaluation using phantoms,” The 2nd International Conference on Radiological Science and Technology, Oct. 2014.

54. F.Hashimoto, A.Teramoto, S.Suzuki, H.Fujita, “A preliminary study on the development of a region-setting CT system using multi-leaf active collimators,” The International Forum on Medical Imaging in Asia, Jan. 2015.

55. A.Teramoto, H.Fujita, K.Takahashi, O.Yamamuro, T.Tamaki, M.Nishio, T.Kobayashi, "Automated detection of lung tumors in PET/CT Images: Improved Detection Using Active Contour Filter,” The International Forum on Medical Imaging in Asia, Jan. 2015.

56. H.Fujita, T.Hara, X.Zhou, H.Chen, D.Fukuoka, N.Kamiya, M.Kanematsu, T.Katafuchi, C.Muramatsu, A.Teramoto, Y.Uchiyama, "A02-3 Function Integrated Diagnostic Assistance Based on Multidisciplinary Computational Anatomy- Plan of Five Years and Progress Overview FY2014 -“, The 1st International Symposium on Multidisciplinary Computational Anatomy, pp.45-51, Feb. 2015.

57. A.Teramoto, H.Adachi, M.Tsujimoto, H.Fujita, K.Takahashi, O.Yamamuro, T.Tamaki, M.Nishio, T.Kobayashi, "Automated detection of lung tumors in PET/CT images using active contour filter,”Proc. of SPIE Medical Imaging 2015: Computer-Aided Diagnosis, Vol. 9414, 94142V-1 - 94142V-6, Feb. 2015.[査読有]

58. H.Adachi, A.Teramoto, S.Miyajo, O.Yamamuro, K.Ohmi, M.Nishio, H.Fujita, "Preliminary study on the automated detection of breast tumors using the characteristic features from unenhanced MR images,” Proc. of SPIE Medical Imaging 2015: Computer-Aided Diagnosis, Vol. 9414, 94142A-1 - 94142A-6, Feb. 2015.[査読有]

59. C.Murata, A.Teramoto, C.Kaneko, H.Fujita, "Development of color micro optical-CT: evaluation using phantom and biological samples,” Proc. of SPIE Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, Vol.9417, 941722-1 - 941722-6, Feb. 2015.[査読有]

60. A.Teramoto, M.Shibasaki, S.Miyajo, O.Yamamuro, T.Tamaki, H.Fujita, K.Ohmi, M.Nishio, “First Trial of Computer-aided Analysis of Unenhanced Breast MR Images: Does Structure Analysis of Mammary Gland Help to Find the Breast Cancer?,” RSNA2015, Dec. 2015.

61. M.Tsujimoto, A.Teramoto, S.Ota, M.Ishiguro, H.Toyama, H.Fujita, Y.Kinomura, "First Study on Automated Three-dimensional Analysis of Hot Spots in Bone Scintigraphy: Hybrid Scheme Using SPECT/CT Images,” RSNA2015, Dec. 2015.

62. F.Hashimoto, A.Teramoto, Y.Asada, S.Suzuki, H.Fujita, "Novel Concept for Dose Reduction - Region-setting CT: Is Multileaf Collimator Also Valuable for Diagnostic CT?," RSNA2015, Dec. 2015.

63. H.Fujita, T.Hara, X.Zhou, K.Azuma, D.Fukuoka, Y.Hatanaka, N.Kamiya, M.Kanematsu, T.Katafuchi, T.Matsubara, C.Muramatsu, A.Teramoto, and Y.Uchiyama: A02-3 Function integrated diagnostic assistance based on multidisciplinary computational anatomy models – Progress overview FY2015 -, Proc. of the 2nd International Symposium on the Project “Multidisciplinary Computational Anatomy”, pp.91-101, 2016.

64. M.Yamazaki, A.Teramoto, H.Fujita, "A hybrid detection scheme of architectural distortion in mammograms using iris filter and Gabor filter," International Workshop on Breast Imaging, June. 2016. [査読有]

65. A.Teramoto, S.Miyajo, H.Fujita, O.Yamamuro, K.Omi, M.Nishio, "Automated analysis of breast tumour in the breast DCE-MR images using level set method and selective enhancement of invasive regions," International Workshop on Breast Imaging, June. 2016. [査読有]

66. A.Teramoto, H.Fujita, O.Yamamuro, T.Tamaki, "Improved detection scheme of the pulmonary nodule in PET/CT images using convolutional neural network," CARS2016, June. 2016.

67. A.Yamada, A.Teramoto, T.Otsuka, K.Kudo, H.Anno, H.Fujita, "A basic study on the development of automated skull fracture detection in CT images using black-hat transform," Proc. of 38th Annual International Conference of the IEEE EMBS, pp.6437-6440, Orland, 2016 [査読有].

68. A.Teramoto, H.Fujita, K.Takahashi, O.Yamamuro, T.Tamaki, K.Noguchi, "Improved detection method of pulmonary nodule in PET/CT images using convolutional neural network," 38th Annual International Conference of the IEEE EMBS, Orland, 2016.

69. N.Minoura, A.Teramoto, O.Yamamuro, T.Tamaki, H.Fujita, " Preliminary study on an automated detection scheme for breast tumors and axillary metastasis using PET/CT images," 38th Annual International Conference of the IEEE EMBS, Orland, 2016.

70. M.Yamazaki, A.Teramoto, R.Kato, H.Fujita, "Improvement of detection sensitivity of architectural distortion in mammogram: hybrid false-positive reduction using convolutional neural network," IFMIA 2017, Okinawa, Jan. 2017.

71. K.Tsukamoto, S.Shirakawa, A.Teramoto, M.Endo, A.Sagisaka, K.Nakashima, T.Hirose, R.Kato,"Non-uniform sampling pitch acquisition method in myocardial SPECT," IFMIA 2017, Okinawa, Jan. 2017.

72. A.Yamada, A.Teramoto, R.Kato, K.Kudo, T.Otsuka, H.Anno, H.Fujita, "Development of automated fracture detection method in head CT images using surface selective black-hat transform," IFMIA 2017, Okinawa, Jan. 2017.

73. A.Teramoto, T.Tsukamoto, Y.Kiriyama, R.Kato, H.Fujita, "A preliminary study on the automated classification of lung cancers in microscopic images using deep convolutional neural networks," IFMIA 2017, Okinawa, Jan. 2017.

74. A.Teramoto, M.Tsujimoto, T.Inoue, T.Tsukamoto, K.Imaizumi, H.Toyama, H.Fujita, "Preliminary study on the automated analysis of pulmonary nodules in early and delayed phase PET/CT images using support vector machine," 2017 Asian Nuclear Medicine Academic Forum, Shanghai, May 2017.

75. M.Tsujimoto, A.Teramoto, S.Ota, M.Ishiguro, H.Toyama, H.Fujita, "Computer aided method for the hot-spot analysis using SPECT/CT images: development of bone segmentation and hot-spot analysis," 2017 Asian Nuclear Medicine Academic Forum, Shanghai, May 2017.

76. N.Minoura, A.Teramoto, O.Yamamuro, K.Murase, A.Ito, K.Takahashi, K.Omi, M.Nishio, H.Fujita, "Automated detection of small breast tumors in dedicated breast PET images: development of adaptive thresholding technique," 2017 Asian Nuclear Medicine Academic Forum, Shanghai, May 2017.

77. A.Teramoto, T.Tsukamoto, Y.Kiriyama, M.Tsujimoto, H.Toyama, K.Imaizumi, H.Fujita, "Automated classification of lung tumors using PET/CT and microscopic images," CARS2017, June. 2017.

78. T.Tsukamoto, A.Teramoto, Y.Kiriyama, A.Yamada, "Fine-tuning deep convolutional neural networks for classification of lung cancer types from cytological images," 4th Digital Pathology Congres Asia, Tokyo, May 2018.

79. A.Teramoto, A.Yamada, Y.Kiriyama, T.Tsukamoto, Y.Ke, Z.Ling, RM.Summers, K.Saito, H.Fujita, "Automated classification and segmentation of malignant pulmonary cells in the cytological image," 4th Digital Pathology Congres Asia, Tokyo, May 2018.

80. A.Teramoto, A.Yamada, T.Tsukamoto, Y.Kiriyama, M.Tsujimoto, T.Inoue, K.Imaizumi, H.Toyama, K.Saito, H.Fujita, "Decision support system for lung cancer using PET/CT and microscopic images,” 40th Annual International Conference of the IEEE EMBS, Honolulu, July 2018.

81. Y.Onishi, A.Yamada, M.Tujimoto, T.Inoue, A.Teramoto, K.Imaizumi, H.Toyama, K.Saito, H.Fujita, "Automated classification of pulmonary nodule in CT images:Development of analysis method using multi DCNNs,” 40th Annual International Conference of the IEEE EMBS, Honolulu, July 2018.

82. K.Kudo, A.Yamada, A.Teramoto, K.Saito, S.Kamiya, H.Anno, H.Fujita, “Preliminary study on automated staging of cerebral infarction in head MR and CT images using machine learning” 40th Annual International Conference of the IEEE EMBS, Honolulu, July 2018.

83. N.Matsubara, A.Teramoto, K.Saito, H.Fujita, ”Bone suppression using deep convolutional neural network : Performance evaluation using pseudo X-Ray images,” 40th Annual International Conference of the IEEE EMBS, Honolulu, July 2018.

84. T.Hayakawa, A.Yamada, A.Teramoto, T.Tsukamoto, K.Saito, H.Fujita, ”Preliminary Study on Development of CT system Specialized in Pathology Diagnosis Using Micro CT,” 40th Annual International Conference of the IEEE EMBS, Honolulu, July 2018.

85. T.Hayakawa, A.Yamada, A.Teramoto, T.Tsukamoto, K.Saito, H.Fujita,"New Concept of Pathological Diagnosis Support by Micro CT System: How Does CT Technology Change Pathologist's Workflow?," RSNA2018, Nov. 2018.

86. A.Teramoto, H.Fujita, "3-Minute Recipe for Deep Learning: Principle, Hardware, and Software," RSNA2018, Nov. 2018.

87. A.Teramoto, A.Yamada, M.Tsujimoto, T.Tsukamoto, K.Saito, H.Toyama, K.Imaizumi, H.Fujita, “Hybrid Scheme of Pulmonary Nodule Classification Using Deep Convolutional Neural Network in PET/CT and Microscopic Images,” the 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

88. A.Yamada, A.Teramoto, Y.Kiriyama, T.Tsukamoto, K.Imaizumi, M.Hoshi, K.Saito. H.Fujita, "Preliminary Study on Automated Classification of Lung Cancer Types from Cytological Image and Electronic Medical Record,” the 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

89. K.Enomoto, A.Teramoto, K.Saito, T.Shibata, H.Fujita, "Improvement of an Automated Detection of Gastric Cancer from Endoscopic Image by FCN and Feature Based False Positive Reduction,” The 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

90. N.Matsubara, A.Teramoto, K.Saito, H.Fujita, ”Automated Nodule Detection Pipeline for Chest X-ray Images Using the Bone Suppression Mask RCNN: Preliminary Study Using Pseudo X-ray images,” the 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

91. R.Kimura, N.Matsubara, T.Ohno, A.Teramoto, K.Saito, H.Fujita, "Automated Extraction of Blood Vessels from Fluoroscopic Images Using Deep Leaning: Preliminary Study Using Cranial DSA Image,"the 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

92. T.Hayakawa, A.Yamada, A.Teramoto, T.Tsukamoto, K.Saito, H.Fujita, ”Diagnosis support system for pathological examination using micro CT,” the 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

93. H.Uozumi, N.Matsubara, A.Teramoto, A.Omori, T.Honmoto, T.Kono, K.Saito, H.Fujita, “Lung Region Segmentation on Pediatric Chest X-rays with Large Scale Database and Mask RCNN -Verification of Usefulness in Pediatric Imaging–,” the 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

94. Y.Onishi, A.Teramoto, M.Tsujimoto, T.Tsukamoto, K.Saito, H.Toyama, K.Imaizumi, H.Fujita, ”Automated Classification of Pulmonary Nodules in CT Images Using Generative Adversarial Networks and Deep Convolutional Neural Networks,” the 13th Asia Oceania Congress of Nuclear Medicine and Biology, Shanghai, May 2019.

95. K.Enomoto, A.Teramoto, T.Shibata, K.Saito, H.Fujita, “Improved method of an automated detection of gastric cancer using FCN and feature based false positive reduction,” CARS 2019, Rennes, June 2019.

96. Y.Onishi, A.Teramoto, M.Tsujimoto, T.Tsukamoto, K.Saito, H.Toyama, K.Imaizumi, H. Fujita, “Improvement of classification performance of pulmonary nodules in CT images using multiple deep convolutional generative adversarial networks” CARS 2019, Rennes, June 2019.

97. R.Kimura, N.Matsubara, A.Teramoto, K.Saito, T.Ohno, H.Fujita, “Preliminary Study on Extraction of Blood Vessels from Fluoroscopic Images Using Deep Convolutional Neural Network,” CARS 2019, Rennes, June 2019.

98. A.Teramoto, A.Yamada, Y.Kiriyama, T.Tsukamoto, K.Yan, L.Zhang, K.Imaizumi, K.Saito, H.Fujita, ”Automated malignancy analysis of microscopic lung images using a deep convolutional neural net- work and generative adversarial networks,” CARS 2019, Rennes, June 2019.

99. N.Matsubara, A.Teramoto, K.Saito, H.Fujita, “Bone suppression for chest X-ray image using a convolutional neural filter,” CARS 2019, Rennes, June 2019.

100. K.Ote, F.Hashimoto, A.Kakimoto, T.Isobe, T.Inubushi, A.Tokui, E.Yoshikawa, T.Omura, A.Teramoto, Y.Ouchi, “Block Matching and 5D Filtering of Dynamic PET Images,” 2019 IEEE NSS-MIC, Manchester, Oct. 2019.

101. H.Uozumi,A.Teramoto, K.Saito, H.Fujita, "Cutting Edge Technologies of Automated Car Driving Change the Radiology: Diagnosis Based on Classification, Object Detection, and Segmentation Using Deep Learning," RSNA2019, Dec. 2019.

102. Y.Onishi, A.Teramoto, H.Toyama, K.Saito, H.Fujita, "What is GAN? Contribution to Radiology Using Cutting Edge Technology," RSNA2019, Dec. 2019.

103. A.Yamada, A.Teramoto, Y.Kiriyama, T.Tsukamoto, K.Imaizumi, M.Hoshi, K.Saito and H. Fujita, "Automated Classification Method of Lung Tumor Type using Cytological Image and Clinical Record," IWAIT 2020,Yogyakarta, Jan. 2020.

104. M.Sumitomo, A.Teramoto, N.Fukami, K.Fukaya, K.Zennami, M.Ichino, K.Takahara, M.Kusaka, R.Shiroki,"Deep learning using preoperative MRI information to predict early recovery of urinary continence after robot-assisted radical prostatectomy," ASCO-GU, San Francisco, Feb. 2020.

105. K.Ote, F. Hashimoto, A. Kakimoto, T. Isobe, T. Inubushi, A. Tokui, A. Saito, T. Omura, E. Yoshikawa, A. Teramoto, Y. Ouchi, “Kinetics-Induced Block Matching and 5D Transform Domain Filtering for Dynamic PET Image Denoising,” The 18th Conference of Peace through Mind / Brain Science, Hamamatsu, Feb. 2020.

106. F.Hashimoto, H.Ohba, K.Ote, A.Kakimoto, H.Tsukada, A.Teramoto, Y.Ouchi, “End-to-end Dynamic PET Image Denoising Using 4-dimensional Unsupervised Convolutional Neural Network,” The 18th Conference of Peace through Mind / Brain Science, Hamamatsu, Feb. 2020.

107. A.Teramoto, N.Takeuchi, K.Imaizumi, K.Saito, H.Fujita, "What we can do to overcome COVID-19: Comprehensive Review of Image Database and open DL models," RSNA2020, Dec. 2020.

108. R.Kimura, N.Matsubara, A.Teramoto, K.Saito, T.Ohno, H.Fujita, "Revolution of digital subtraction angiography: How much can deep learning reduce DSA artifacts?," RSNA2020, Dec. 2020.

109. A.Teramoto: "AI-Based Computer-Aided Diagnosis for Lung Disease Using Radiological and Pathological Images," IWAIT 2020, online, Jan. 2021.

110. N.Takeuchi, A.Teramoto, K.Imaizumi, K.Saito, H.Fujita, "Classification and Segmentation of Idiopathic Interstitial Pneumonia Using 3D U-Net," IFMIA 2021, online, Jan. 2021.

111. A.Teramoto, T.Shibata, A.Sugiura, H.Yamada, N.Ohmiya, K.Saito, H.Fujita, "Instance Segmentation of Early Gastric Cancer in Endoscopic Images Using Mask R-CNN," IFMIA2021, online, Jan. 2021.

112. R.Toda, A.Teramoto, M.Tsujimoto, H.Toyama, M.Kondo, K.Imaizumi, K.Saito, H.Fujita, "A Preliminary Study on the Sketch-Based Tumor CT Image Synthesis Using Pix2pix," IFMIA 2021, online, Jan. 2021.

113. R Muraki, R Kimura, A Teramoto, K Yamazaki, K Sugimoto, K　Sugimoto, A Yamada, E Watanabe, K Saito, H Fujita, "Development of Automated Classification Scheme for Myocardial Infarction Using CNN-LSTM model," IFMIA2021, online, Jan. 2021.

114. H.Yamashiro, A.Teramoto, K.Saito, H.Fujita, “Automated Glioma Grading Pipeline in Post Contrast MR Images Combining Cloud Source 3D Convolutional Neural Network,” IFMIA 2021, online, Jan. 2021.

115. M.Yoshida, A.Yamada, K.Kudo, H.Fujita, K.Saito, A.Teramoto, "Automated Extraction of Cerebral Infarction Lesion in Head MR Images: Data Augmentation Using Pseudo Patients Generated by CycleGAN," IFMIA2021, online, Jan. 2021.

116. Y.Doi, A.Yamada, R.Matsumoto, M.Kobayashi, A.Teramoto, "A preliminary Study on Fully-Automated Subjective Evaluation of Low Contrast Resolution Using Convolutional Neural Networks," IFMIA2021, online, Jan. 2021.

117. R.Muraki, K.Sugimoto, K.Sugimoto, A.Yamada, E.Watanabe, K.Saito, H.Fujita, A.Teramoto, " Recurrent Neural Network Models for the Automated Detection of Acute Myocardial Infarction on Echocardiography," 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, online, Oct. 2021.

118. H.Yamashiro, A.Teramoto, K.Saito, H.Fujita, "Tips and Tricks for Application Development Using Pretrained Medical AI Models," RSNA2021, Nov. 2021.

119. N.Takeuchi, A.Teramoto, K.Imaizumi, K.Saito, H.Fujita, "Attention Mechanism and Weakly Supervised Learning Solve Complicated Problems: Principles and Application to IIPs Classification," RSNA2021, Nov. 2021.

120. A.Teramoto, Y.Kiriyama, T.Tsukamoto, A.Michiba, E.Sakurai, K.Imaizumi, K.Saito, H.Fujita, “An Automated Classification Scheme of Cytological Images Using Attention-based Deep Multiple Instance Learning,” AOCMP 2021, online, Dec. 2021.

121. R.Toda, A.Teramoto, M.Kondo, K.Imaizumi, K.Saito, H.Fujita, “Lesion Image Synthesis Using AI-Based Sketch-to-Image Translation: A Preliminary Study on Lung Cancer CT Images,” AOCMP 2021, online, Dec. 2021.

122. Y.Oshita, N.Takeuchi, A.Teramoto, K.Saito, H.Fujita, Y.Suzuki, N.Tomiyama, S.Kido, "Preliminary Study on The Automated Lung Cancer Detection in CT Images Using Mask R-CNN", AOCMP 2021, online, Dec.2021.

123. Y.Isobe,A.Teramoto,”Preliminary Study on Virtual Cleansing by CycleGAN in CT Colonography,” AOCMP 2021,online ,Dec.2021.

124. Y.Kuratani, A.Teramoto, M.Niwa,“Translation from Non-Contrast to Contrast Images by Cycle-GAN in Head Vascular CT Imaging,“ AOCMP 2021, online, Dec. 2021.

125. Y.Oshita, A.Teramoto, K.Saito, H.Fujita, Y.Suzuki, N.Tomiyama, S.kido, "Automated Lung Nodule Detection Using Mask R-CNN in PET/CT Images," International Conference on Radiological Physics and Technology, Yokohama, April 2022.

126. F.Oba, S.Miwa, A.Sugiura, Y.Doi, A.Teramoto, "Automated Detection of Insufficiency Fracture of the Pelvis on Radiograph: Preliminary Study on the Automated Detection of Artificial Fracture Line Using Convolutional Neural Network," International Conference on Radiological Physics and Technology, Yokohama, April 2022.

127. G.Hirano, H.Takai, Y.Higashi, A.Teramoto, S.Matsumoto, S.Watanabe，K.Sugimoto, "Automated Extraction of Carotid Plaque by U-Net in Ultrasound Images," International Conference on Radiological Physics and Technology, Yokohama, April 2022.

128. Y.Higashi, A.Teramoto, H.Okazaki, K.Takeda, S.Maeda, K.Saito, H.Fujita, " A Predictive Model for Patient Functional Outcomes of Cerebral Infarction Using Weakly Supervised Learning with an Attention Mechanism on MR Images," International Conference on Radiological Physics and Technology, Yokohama, April 2022.

129. A.Sugiura, A.Teramoto, T.Shibata, H.Yamada, "Automated Detection of Gastric Polyps from Endoscopic Images Using U-net," International Conference on Radiological Physics and Technology, Yokohama, April 2022.

130. T.Kondo, R.Muraki, A.Teramoto, E.Watanabe, K.Saito, H.Fujita, "Prediction of Short-Term Prognosis of CCU Patients Using Visualizable CNN in ECG Images," International Conference on Radiological Physics and Technology, Yokohama, April 2022.

131. M.Tsukijima, A.Teramoto, K.Akihiro, O.Yamamuro, T.Tsuneo, H.Fujita, "Noise Reduction in Dedicated Breast PET Images Using a Deep Denoising Filter Bank," International Conference on Radiological Physics and Technology, Yokohama, April 2022.

132. M.Sumitomo, A.Teramoto, W.Nakamura, K.Zennami, T.Nukaya, M.Takenaka, K.Fukaya, M.Ichino, K.Takahara, H.Sasaki, R.Shiroki, "Deep Learning Using MRI and MRI and Intraoperative Video Images Strongly Predicts Recovery of Urinary Continence After Robot-Assisted Radical Prostatectomy," AUA 2022, New Oreleans, May 2022.

133. M.Tsukijima, A.Teramoto, K.Saito, H.Fujita, "Adaptive Noise Reduction Scheme for Dedicated Breast Positron Emission Tomography Using Multiple Convolutional Neural Networks," CARS 2022, Tokyo, June 2022.

134. G.Hirano, H.Takai, Y.Higashi, A.Teramoto, S.Watanabe，K.Sugimoto, S.Matsumoto, K.Saito, H.Fujita, "A Preliminary Study on Automated Analysis of Carotid Plaque Using Ultrasound Video Images: Fully Automated Recognition of Plaque Regions Using U-Net," CARS 2022, Tokyo, June 2022.

135. A.Teramoto, F.Oba, M.Sumitomo, W.Nakamura, R.Shiroki, K.Saito, H.Fujita, "Prediction Scheme of the Short-Term Urinary Continence Using Robotic Surgery Images," CARS 2022, Tokyo, June 2022.

136. T.Kondo, A.Teramoto, E.Watanabe, Y.Sobue, H.Izawa,K.Saito, H.Fujita, “Prognosis Prediction and Its Visualization of the Patient in Coronary Care Unit Using Electrocardiogram,” CARS 2022, Tokyo, June 2022.

137. T.Kondo, A.Teramoto, K.Saito, H.Fujita, "Systematic Review of Evidence-Based Medical AI: Principle and Selection of Explainable AI Technology in Radiology," RSNA 2022, Chicago, Nov. 2022.

138. G.Hirano, H.Takai, A.Teramoto, Y.Sasaki, S.Watanabe, K.Sugimoto, S.Matsumoto, K.Saito, H.Fujita, “Comparison of Semantic Segmentation Methods for Automatic Extraction of Carotid Plaque in Ultrasound Images,” IFMIA 2023, Jeju, Jan. 2023.

139. Y.Suganuma, A.Teramoto, K.Saito, H.Fujita, Y.Suzuki, N.Tomiyama, S.Kido, "Hybrid Approach of Multi-Organ Segmentation Using PET/CT Images," IFMIA 2023, Jeju, Jan. 2023.

140. A.Teramoto, A.Michiba, Y.Kiriyama, E.Sakurai, T.Tsukamoto, K.Imaizumi, K.Saito, H.Fujita, "Improved Classification Scheme of Idiopathic Interstitial Pneumonias in Histopathological Images Using Generative Adversarial Networks," IFMIA 2023, Jeju, Jan. 2023.

141. T.Kondo, A.Teramoto, E.Watanabe, Y.Sobue, H.Izawa,K.Saito, H.Fujita, "Multimodal Learning of ECG Images and Patient Information for Predicting Short-Term Prognosis of CCU Patients," IFMIA 2023, Jeju, Jan. 2023.

142. S.Patipipittana, A.Teramoto, K.Saito, H.Fujita, "Tube Removal Method in Chest X-Ray Images Using CycleGAN," IFMIA 2023, Jeju, Jan. 2023.

143. Y.Suganuma, N.Ogino, A.Teramoto, T.Ohno, S.Yamamoto, K.Saito, H.Fujita, “Automated Response Prediction of the Extracorporeal Shock Wave Lithotripsy Using Abdominal CT Images," International Conference on Radiological Physics and Technology, Yokohama, April 2023.

144. S.Patipipittana, A.Teramoto, K.Saito, H.Fujita, "Tube Deletion in Chest Radiograph Using Cycle Generative Adversarial Networks," International Conference on Radiological Physics and Technology, Yokohama, April 2023.

145. A.Ito, A.Teramoto, K Saito,H Fujita, "Ensemble Detection Scheme of Pneumonia From Chest X-Ray Images Using Multiple Convolutional Neural Networks," International Conference on Radiological Physics and Technology, Yokohama, April 2023.

146. H.Kotani, T.Kondo, A.Teramoto, T.Ohno, Y.Sobue, E.Watanabe, K.Saito, H.Fujita “Preliminary Study on the Classification of Atrial Fibrillation Types Using Deep Learning Models with Attention Mechanism - Comparison of Vision Transformer and CNN Model -," International Conference on Radiological Physics and Technology, Yokohama, April 2023.

147. A.Michiba, M.Gi, M Yokohira, E Sakurai, A.Teramoto, Y.Kiriyama, S Yamada, H Wanibuchi, T.Tsukamoto, "Machine Learning Can Distinguish Genotoxic Hepatocarcinogens Using γH2AX and Ki-67 Immunohistochemistry?," 7th Digital Pathology & AI Congress, Seoul, Sep. 2023.

148. H.Kotani, T.Kondo, A.Teramoto, T.Ohno, K.Saito, H.Fujita,”Is It Possible To Assess Left Atrial Remodeling Using Deep Learning? AnAttempt To Classify Atrial Fibrillation Pathology Using Contrast-Enhanced CT Images, “ RSNA 2023, Chicago, Nov. 2023.

149. H.Kotani, T.Kondo, A.Teramoto, T.Ohno, K.Saito, H.Fujita,”What Will Happen to AI Technology in Radiology? Systematic Review of Natural Language Processing for Radiological Image Processing, “ RSNA 2023, Chicago, Nov. 2023.

150. G.Hirano, H.Takai, A.Teramoto, K.Saito, H.Fujita, “Further Possibilities of Deep Learning in the Ultrasound Field,“ RSNA 2023, Chicago, Nov. 2023.

151. Y.Ikuno, A.Teramoto, Y.Suzuki, T.Tomiyama, S.Kido, H.Fujita, “Automated Detection of Lung Lesions in Low Dose CT Images for Attenuation Correction Using Variational Autoencoder,” International Conference on Radiological Physics and Technology, Yokohama, April 2024.

152. A.Kawai, T.Kondo, A.Teramoto, H. Fujita, "Subtype Prediction in Breast MR Images Using 3DCNN and Ensemble Learning," International Conference on Radiological Physics and Technology, Yokohama, April 2024.

153. J.Hayashi, A.Teramoto, M.Tsukijima, O.Yamamuro, T.Tamaki, H.Fujita,  "Automated Segmentation Scheme of Highly Uptake Regions in Dedicated Breast PET Images Without Manual Annotation Using Cycle GAN ," International Conference on Radiological Physics and Technology, Yokohama, April 2024.

154. K.Isaji, A.Teramoto, H.Fujita, "Automated Report Generation in Chest X-Ray Images Using Vision Transformer and GPT," CARS 2024, Barcelona, June 2024.

155. A.Teramoto, A.Michiba, Y.Kiriyama, T.Tsukamoto, H.Fujita, "Automated Report Generation in Lung Cytology Using CNN and Multiple Transformers," CARS 2024, Barcelona, June 2024.

156. N.Matsubara, A.Teramoto, M.Takei, Y.Kitoh, S.Kawakami, "Automated Assessment System of the Inspiration Status in Chest X-Ray Images," CARS 2024, Barcelona, June 2024.

157. A.Teramoto, H.Kotani, H.Yamada, T.Shibata, "Automated Classification of Atrophic Gastritis in Endoscopic Images Using Deep Learning," KDDW 2024, Seoul, Nov. 2024. 

158. K. Miyakoshi, A.Teramoto, T.Shibata, J.Hasegawa, H.Yamada, H.Fujita, "Mutual Conversion of White Light Images and Narrow-Band Images in Upper Gastrointestinal Endoscopy Images Using Image Conversion AI," KDDW 2024, Seoul, Nov. 2024.

159. K. Watanabe, A.Teramoto, T.Shibata, J.Hasegawa, H.Yamada, “Lesion Classification Scheme Using Multimodal AI Technology in Upper Gastrointestinal Endoscopy,” KDDW 2024, Seoul, Nov. 2024.

160. Y.Kuratani, M.Yoshida, M.Niwa, A.Teramoto, "High Reproducibility 3D-CTA With Generative AI : Generation of Pseudo-Contrast-Enhanced CT Image," RSNA 2024, Chicago, Dec. 2024.

161. N.Yoshioka, A.Teramoto, "Whst Is a Diffusion Model? Contribution to Medicine Using Cutting-Edge Technology," RSNA 2024, Chicago, Dec. 2024.

162. K.Isaji, A.Teramoto, "LLM Hands-On: Getting Start of LLM Programming in Python," RSNA 2024, Chicago, Dec. 2024.

163. H.Hattori, Y.Ohno, A.Teramoto, S.Ota, H.Azuma, E.Sakaguchi, S.Kobayashi, H.Toyama, H.Naruse, "CT Imaging of Bronchospasm in Anaphylaxis Induced by Non-Ionic Iodinated Contrast Media: A Comparative Study," RSNA 2024, Chicago, Dec. 2024.

164. A.Teramoto, Y.Kiriyama, A.Michiba, N.Yazawa, T.Tsukamoto, K.Imaizumi, H.Fujita, "Bi-Directional Generation Between Images and Their Finding in Lung Cytological Images," IFMIA 2025, Takamatsu, Mar. 2025.

165. K.Watanabe, A.Teramoto, T.Shibata, J.Hasegawa, H.Yamada, "Caption Generation of Gastric Lesions in Endoscopic Images Using BLIP," IFMIA 2025, Takamatsu, Mar. 2025.

166. K.Urata, M.Nagao, A.Teramoto, K.Imaizumi, M.Kondo, H.Fujita, "Generation of Lung Nodule Images from Image FindingsUsing Latent Diffusion Model" International Conference on Radiological Physics and Technology, Yokohama, April 2025.

167. A.Kawai, A.Teramoto, H. Fujita, "Initial investigation of triple negative detection in breast MR images using a multi-slice multi-phase vision transformer," International Conference on Radiological Physics and Technology, Yokohama, April 2025.

168. H.Suzuki, K.Watanabe, A.Teramoto, T.Honmoto, A.Niki, T.Kono, Hiroshi Fujita, "Preliminary Study on an Automated Detection Scheme for Pediatric Forearm Fractures in X-ray Images Using Open CLIP," International Conference on Radiological Physics and Technology, Yokohama, April 2025.

169. M.Nagao, K.Urata, A.Teramoto, K.Imaizumi, M.Kondo, H.Fujita, "Multi-task Scheme for Image Findings Generation and Classification in Chest CT: A Comparative Study of Image Captioning Models," International Conference on Radiological Physics and Technology, Yokohama, April 2025.

170. K.Urata, M.Nagao, A.Teramoto, K.Imaizumi, M.Kondo, H.Fujita, "Automatic Generation of Pulmonary Nodule Patterns in Chest CT Images from Image Findings Using a Diffusion Model," 47th Annual International Conference of the IEEE Engineering Medicine and Biology Society, Copenhagen,  July 2025.

171. A.Kawai, A.Teramoto, H.Fujita, "Detecting Triple Negatives in Multi-Slice Multi-Phase Vision Transformer Using Patient Information and Breast MR Images," 47th Annual International Conference of the IEEE Engineering Medicine and Biology Society, Copenhagen, July 2025.

172. N.Yoshioka, A.Teramoto, Y.Kiriyama, T.Tsukamoto, H.Fujita, "Staining Conversion of Breast Cancer Pathology Specimen Images Using Image Conversion Technology," 47th Annual International Conference of the IEEE Engineering Medicine and Biology Society, Copenhagen,  July 2025.

173. A.Teramoto, Y.Kiriyama, A.Michiba, N.Yazawa, T.Tsukamoto, K.Imaizumi, H.Fujita," Cyclic Learning of Cytological Image and Findings Generation via Image-to-Text and Text-to-Image Models," 47th Annual International Conference of the IEEE Engineering Medicine and Biology Society, Copenhagen,  July 2025.

174. K.Urata, M.Nagao, A.Teramoto, K.Imaizumi, M.Kondo, H.Fujita, "Radiology-guided Generation of Lung Nodule CT Images Using Latent Diffusion Models," The 4th Workshop on Applications of Medical AI, MICCAI2025, Daejeon, Sep. 2025.

175. J.Eguchi, A.Teramoto, K.Sugimoto, A.Yamada, K.Nakamura, "EchoMamba: A State Space Model for Acute Myocardial Infarction Detection in Echocardiographic Imaging," The 4th Workshop on Applications of Medical AI, MICCAI2025, Daejeon, Sep. 2025.

176. A.Teramoto, M.Nagao, K.Urata, M.Kondo, K.Imaizumi, Y.Kiriyama, T.Tsukamoto, H.Fujita, "Unified Foundation Model Framework for Bidirectional Generation of Medical Images and Findings from Mixed Lung CT and Cytological Data," 3rd International Workshop on Foundation Models for General Medical AI, MICCAI 2025, Daejeon, Sep. 2025.

177. M.Nagao, K.Urata, A.Teramoto, K.Imaizumi, M.Kondo, H.Fujita, "Exploring the Applicability of Visual Question Answering for Image Finding Generation and Lesion Classification: A Case Study on Lung Nodule CT Images," The 4th Workshop on Applications of Medical AI, MICCAI2025, Daejeon, Sep. 2025.

178. J.Hayashi, A.Teramoto, M.Tsukijima, O.Yamamuro, T.Tamaki, H.Fujita, "Automated 3D Segmentation High-Uptake Regions in Dedicated Breast PET Images via Annotation-Free 2D Processing," 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, MICCAI 2025, Daejeon, Sep. 2025.

179. F.Atsuchi, A.Teramoto, T.Ohno, S.Yamamoto, H.Fujita, "Unpaired Synthesis of Contrast-Enhanced Abdominal CT from Non-Contrast Images via Diffusion Models," 2025 IEEE NSS MIC RTSD, Yokohama, 2025. 

180. Y.Ikuno, A.Teramoto, "Rethinking Diffusion For Medical Imaging," RSNA 2025, Nov. 2025.

181. K.Miyakoshi, A.Teramoto, T.Shibata, H.Yamada, "Automated detection of esophageal cancer regions using interconversion technique of imaging conditions in upper gastrointestinal endoscopy," KDDW 2025, Seoul, Nov. 2025.

182. K.Watanabe, A.Teramoto, T.Shibata, J.Hasegawa, H.Yamada, "Automated generation of image findings in endoscopic images using image-to-text models," KDDW 2025, Seoul, Nov. 2025.

特許（国内分）

平09－091264, 平10－040371, 平10－150569, 2000－121579, 2000－249532,

2001－012932, 2001－050730, 2001－082946, 2001－281170, 2001－281172,

2001－284789, 2002－158500, 2002－280727, 2002－296203, 2004－055599,

2004－108871, 2004－251669, 2004－294119, 2004－294120, 2005－121538,

2005－195506, 2005－207827, 2006－105794, 2006－162335, 2006－177760,

2006－184267, 2006－275626, 2006－292465, 2007－114150, 2007－121082,

2007－199090, 2007－240353, 2007－242287, 2008－026334, 2008－070330,

2008－096425, 2008－107124, 2008－116388, 2008－180651, 2009－014693,

2009－036715, 2013－092460, 2013－145197, 2016－045163, 2016－045164,

2017－015655, 3933548, 4039565, 4074204, 4118455, 4162386

〒468-8502 愛知県名古屋市天白区塩釜口1-501

名城大学 情報工学部 情報工学科 寺本研究室

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