2025.11.21 白崎
"Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans"
D. Alzu'bi, et al., Journal of Healthcare Engineering, 3861161 (2022)
2025.11.14 野島
"Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning–based Pharmacokinetic Quantification of DCE MRI"
C. Wu, et al., Radiology: Artificial Intelligence (7) 5, 240769 (2025)
2025.10.31 前田
"A comprehensive multifaceted technical evaluation framework for implementation of auto-segmentation models in radiotherapy"
R. Poel, et. al., Communications medicine (5) 319 (2025)
2025.10.23 蔭山
"A clinical decision model based on machine learning for ptosis"
X. Song, et. al., BMC Ophthalmology (21) 169 (2021)
2025.10.10 沖田
"Large language model-augmented learning for auto-delineation of treatment targets in head-and-neck cancer radiotherapy"
P. Rajendran, et. al., Radiotherapy and Oncology (205) 110740 (2025)
2025.7.25 後藤
"A feasibility study of automating radiotherapy planning with large language model agents"
Q. Wang, et. al., Physics in Medicine and Biology (70) 075007 (2025)
2025.7.11 木村
"Improving Diffusion Models for Inverse Problems using Manifold Learning"
H. Chung, et. al., NeurIPS 2022
2025.7.4 小山
"Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis"
T. Nakamoto, et. al., Scientific Reports 9, 19411 (2019)
2025.6.27 井手
"Training of deep cross-modality conversion models with a small data set, and their application in megavoltage CT to kilovoltage CT conversion"
S. Ozaki, et. al., Med. Phys. (49) 6, 3769-3782 (2022)
2025.6.20 吉永
"Unsupervised Medical Image Translation with Adversarial Diffusion Models"
M. Ozbey, et. al., IEEE Transactions on Medical Imaging (42) 12, 3524–3539 (2023)
2025.6.13 築舘
"ChatGPT as a Complementary Mental Health Resource: A Boon or a Bane"
F. Farhat, Annals of Biomedical Engineering (52) 1111–1114 (2024)
2025.6.6 西塚
"CRISPR/Cas9 targeting of passenger single nucleotide variants in haploinsufficient or essential genes expands cancer therapy prospects "
H. Kim et. al., Scientific Reports 14: 7436 (2024)
2025.5.30 白崎
"Texture analysis as a radiomic marker for differentiating renal tumors"
H. Yu et. al., Abdominal Radiology (42) 2470-2478, (2017)
2025.5.23 野島
"Kinetic Heterogeneity of Breast Cancer Determined Using Computer-aided Diagnosis of Preoperative MRI Scans: Relationship to Distant Metastasis-Free Survival"
J. Kim, et. al., Radiology (295) 517-526, (2020)
2025.5.16 沖田
"AS-NeSt: A Novel 3D Deep Learning Model for Radiation Therapy Dose Distribution Prediction in Esophageal Cancer Treatment With Multiple Prescriptions"
Y. Duan et al., Int J Radiation Oncol Biol Phys (119) 3, 978−989, (2024)
2025.5.9 前田
"Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy"
S. Nikolov, et. al., arXiv: 1809.04430
2025.5.2 尾崎
"Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models", and more
S. Ozaki, et. al., arXiv: 2408.03156
2025. 4.25 蔭山
"A deep learning approach to identify blepharoptosis by convolutional neural networks"
J. Hung, et. al., International Journal of Medical Informatics (148) 104402, (2021)
2025. 2.5 佐藤
"Effects of host density on furunculosis epidemics determined by the simple SIR model"
H. Ogut, et. al., Preventive Veterinary Medicine 71 (2005) 83–90
2025.1.29 吉永
"Visual enhancement of Cone-beam CT by use of CycleGAN"
S. Kida, et. al., Med Phys (47) 3, 998-1010, (2020)
2024.12.11 築舘
"AI agents"
https://learn.microsoft.com/en-us/azure/cosmos-db/ai-agents
2024.11.27 西塚
"Cancer classification of single-cell gene expression data by neural network"
B. Kim, et. al., Bioinformatics (5) 36, 1360-1366 (2020)
2024.11.20 白崎
"Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis"
A. Chaddad, et. al., Frontiers in oncology (8) 00630, (2018)
2024.11.13 野島
"Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis"
A. Haga, et. al., Radiol Phys Technol (11) 27-35, (2018)
2024.11.6 沖田
"Fully automated dose prediction using generative adversarial networks in prostate cancer patients"
Y. Murakami et. al., PLOS ONE (15) 0232697, (2020)
2024.10.30 前田
"Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
H. Cao et. al., arXiv: 2105.0553
2024.10.23 尾崎
"Automated radiotherapy treatment planning guided by GPT-4Vision"
S. Liu et. al., arXiv: 2406.16509