Conferences 📗

[2025]

1. [ML] Yoori Oh, Yoseob Han, and Kyogu Lee. “Understanding Audio-Text Retrieval Through Singular Value Decomposition”, SIGIR 2025, Padua, Italy, July 2025, [pdf]

[2024]

2. [LP] Yoori Oh*, Yoseob Han*, and Kyogu Lee. “Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation”, SIGIR 2024, Washington D.C., USA, July 2024, *Contributed equally to this work, [pdf]

[2023]

3. [AP] ​Yoori Oh, Juheon Lee, Yoseob Han, and Kyogu Lee. “Semi-supervised Learning for Continuous Emotional Intensity Controllable Speech Synthesis with Disentangled Representations”, INTERSPEECH 2023, Dublin, Ireland, August 2023, [pdf]

[~2022]

4. ​[MI] Yoseob Han, Kyungsang Kim, and Quanzheng Li. “Null space image estimator using dual-domain deep learning for Region-of-Interest CT reconstruction”, Fully3D, Leuven, Belgium, July 2022, [pdf]

5. ​[MI] Junyoung Kim*, Yoseob Han*, and Jong Chul Ye. “Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning”, ISBI, Iowa city, Iowa, USA, April 2020, *Contributed equally to this work, [pdf]

6. ​[MI] Yoseob Han, Junyoung Kim, Jong Chul Ye, Marc Louis Klasky, and Brendt Wohlberg. “Adaptive X-ray CT Filtration method using deep CNN”, ISBI workshop on Deep Learning for Biomedical Image Reconstruction, Iowa city, Iowa, USA, April 2020, [pdf]

7. ​[MI] Yoseob Han and Jong Chul Ye. “Non-Cartesian k-space deep learning for accelerated MRI”, ISMRM, Montreal, QC., Canada, May 2019, [pdf]

8. ​[MI] Yoseob Han and Jong Chul Ye. “Non-Cartesian k-space deep learning for accelerated MRI”, ISMRM workshop on machine learning 2, Washington, D.C., USA, October 2018, [pdf]

9. ​[MI] Won-Joon Do, Yoseob Han, Seung Hong Choi, Jong Chul Ye, and Sung-Hong Park. “Reconstruction of MR images by combining k-space of multi-contrast MR data through deep learning”, ISMRM, Paris, France, June 2018, [pdf]

10. ​[MI] Yoseob Han and Jong Chul Ye. “Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner”, CT MEETING, Utah, USA, May 2018, [pdf]

11. ​[MI] Yoseob Han, Jawook Gu, and Jong Chul Ye. “Deep Learning Interior Tomography for Region-of-Interest Reconstruction”, CT MEETING, Utah, USA, May 2018, [pdf]

12. ​[MI] Yoseob Han and Jong Chul Ye. “Deep Residual Learning Approach for Sparse-view CT Reconstruction”, Fully3D, Xi'an, China, June 2017, [pdf]

13. ​[MI] Yoseob Han, Dongwook Lee, Jaejun Yoo, and Jong Chul Ye. “Accelerated projection reconstruction MR imaging using deep residual learning”, ISMRM, Honolulu, HI, USA, April 2017, [pdf]

14. ​[MI] Kyong Hwan Jin, Yoseob Han, and Jong Chul Ye. “Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation”, ISBI, Prague, Czech Republic, April 2016, [pdf]

15. ​[MI] Yoseob Han, Kyong Hwan Jin, Kyungsang Kim, and Jong Chul Ye. “Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach”, ISBI, Prague, Czech Republic, April 2016, [pdf]

16. ​[MI] Yoseob Han, Minji Lee, John Paul Ward, Michael Unser, Seungryoung Cho and Jong Chul Ye. “Multi-scale Circular Conebeam Interior Tomography using bedrosian identity: Verification with real data”, CT MEETING, Bamberg, Germany, July 2016, [pdf]

Journals 📕

[2025]

1. ​[MI] Yoseob Han. “Low-dose CT Reconstruction using Cross-domain Deep Learning with Domain Transfer Module”, Physics in Medicine & Biology, 21 February 2025, [pdf]

2. ​[MI] Jaehun Lee, Daniel Kim, Taehun Kim, Mohammed A Al-Masni, Yoseob Han, Dong-Hyun Kim, Kanghyun Ryu. “Meta-Learning Guidance for Robust Medical Image Synthesis: Addressing the Real-World Misalignment and Corruptions”, Computerized Medical Imaging and Graphics, 01 February 2025, [pdf] 

3. [DD] Gunwoo Lee*, Jungmin Lee*, Minkyo Jung, Joseph Lee, Kihun Hong, Souhwan Jung, Yoseob Han. “Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms”, IEEE ACCESS, 22 January 2025, *Contributed equally to this work, [pdf]

[2024]

4. ​[MI] Yoseob Han. “Hierarchical decomposed dual-domain deep learning for sparse-view CT reconstruction”, Physics in Medicine & Biology​, 3 April 2024, [pdf]

[2023]

5. ​[MI] Kanghyun Ryu, Chena Lee, Yoseob Han, Subeen Pang, Young Hyun Kim, Chanyeol Choi, Ikbeom Jang, and Sang-Sun Han. “Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT”, Plos one​, 11 May 2023, [pdf]

[~2022]

6. ​[MI] ​Yoseob Han, Dufan Wu, Kyungsang Kim, and Quanzheng Li. “End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT”, Physics in Medicine & Biology​, 16 May 2022, [pdf]

7. ​[MI] Yoseob Han*, Jaeduck Jang*, Eunju Cha*, Junho Lee*, Myoungho Jeong, Tae-Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, Eunha Lee, and Jong Chul Ye. “Deep Learning STEM-EDX Tomography for Nanocrystals”, Nature Machine Intelligence, 08 February 2021, *Contributed equally to this work, [pdf]

8. ​[MI] Kyu Sung Choi, Sung-Hye You, Yoseob Han, Jong Chul Ye, Seung Hong Choi, and Bumseok Jeong. “Improving the reliability of pharmacokinetic parameters in dynamic contrast-enhanced MRI in gliomas: Deep learning approach”, Neuroradiology, 04 August 2020, [pdf]

9. ​[MI] Yoseob Han*, Junyoung Kim*, and Jong Chul Ye. “Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal”, IEEE Transactions on Medical Imaging, 05 June 2020, *Contributed equally to this work, [pdf]

10. ​[MI] Won-Joon Do, Sunghun Seo, Yoseob Han, Jong Chul Ye, Seung Hong Choi, and Sung- Hong Park, “Reconstruction of Multi-contrast MR Images through Deep Learning”, Medical Physics, 28 January 2020 , [pdf]

11. ​[MI] Yoseob Han and Jong Chul Ye. “One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection”, Medical Physics, 06 December 2019 , [pdf]

12. ​[MI] Juyoung Lee, Yoseob Han, and Jong Chul Ye. “k-Space Deep Learning for Reference- free EPI Ghost Correction”, Magnetic Resonance Medicine, 18 July 2019, [pdf]

13. ​[MI] Yoseob Han, Leonard Sunwoo, and Jong Chul Ye. “k-Space Deep Learning for Accelerated MRI”, IEEE Transactions on Medical Imaging, 05 July 2019, [pdf]

14. ​[MI] Yoseob Han and Jong Chul Ye. “Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT”, IEEE Transactions on Medical Imaging, 06 April 2018 , [pdf]

15. ​[IP] Jong Chul Ye, Yoseob Han, and Eunju Cha. “Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems”, SIAM Journal on Imaging Sciences, 24 April 2018, [pdf]

16. ​[MI] Yoseob Han, Jaejun Yoo, Hak Hee Kim, Hee Jung Shin, Kyunghyun Sung, and Jong Chul Ye. “Deep learning with domain adaptation for accelerated projection-reconstruction MR”, Magnetic Resonance Medicine, 04 February 2018, [pdf]

17. ​[MI] Minji Lee, Yoseob Han, John Paul Ward, Michael Unser, and Jong Chul Ye. "Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation", SIAM Journal on Imaging Sciences, 27 Octorber 2015, [pdf]

Patents 📘

[2025]

1. 한요섭, 정민교, "딥러닝 기반 저선량 CT 이미지 재구성 시스템," 숭실대학교 산학협력단, 출원번호 10-2025-0074750

[~2021]

2. Jong Chul Ye and Yoseob Han “METHOD FOR PROCESSING SPARSE-VIEW COMPUTED TOMOGRAPHY IMAGE USING NEURAL NETWORK AND APPARATUS THEREFOR”, US, US-10991132-B2, 27 April 2021

3. ​Jong Chul Ye and Yoseob Han “METHOD FOR PROCESSING MULTI-DIRECTIONAL X-RAY COMPUTED TOMOGRAPHY IMAGE USING ARTIFICIAL NEURAL NET”, US, US-10977842-B2, 13 April 2021

4. ​Jong Chul Ye and Yoseob Han. “METHOD FOR PROCESSING ALL INTERIOR COMPUTED TOMOGRAPHY IMAGE USING SINGLE ARTIFICIAL NEURAL NETWORK AND APPARATUS THEREFOR”, KR, 10-2225747, 04 March 2021

5. ​Jong Chul Ye and Yoseob Han. “METHOD FOR PROCESSING MAGNETIC RESONANCE IMAGING USING ARTIFICIAL NEURAL NETWORK AND APPARATUS THEREFOR”, KR, 10-2215702, 08 February 2021

6. ​Jong Chul Ye, Yoseob Han, and Eunju Cha, “METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON NEURAL NETWORK”, US, US-10853977-B2, 01 December 2020

7. ​Jong Chul Ye and Yoseob Han. “METHOD FOR PROCESSING MULTI-DIRECTIONAL X-RAY COMPUTED TOMOGRAPHY IMAGE USING ARTIFICIAL NEURAL NETWORK AND APPARATUS THEREFOR”, KR, 10-2174600, 30 October 2020

8. ​Jong Chul Ye and Yoseob Han. “METHOD FOR PROCESSING INTERIOR COMPUTED TOMOGRAPHY IMAGE USING ARTIFICIAL NEURAL NETWORK AND APPARATUS THEREFOR”, KR, 10-2094599, 23 March 2020

9. ​Jong Chul Ye and Yoseob Han. “METHOD FOR PROCESSING SPARSE-VIEW COMPUTED TOMOGRAPHY IMAGE USING ARTIFICIAL NEURAL NETWORK AND APPARATUS THEREFOR”, KR, 10-2094598, 23 March 2020

10. ​Jong Chul Ye, Yoseob Han, and Eunju Cha. “METHOD AND APPARATUS FOR RECONSTRUCTING IMAGE BASED ON NEURAL NETWORK”, KR, 10-2089151, 09 March 2020

11. ​Jong Chul Ye and Yoseob Han. “COMPUTED TOMOGRAPHY IMAGE RECONSTRUCTION METHOD AND APPARATUS”, KR, 10-1886228, 01 August 2018

12. Jong Chul Ye, Minji Lee, Yoseob Han, Jea Young Jeong, Jaehak Lee, and Young Hoon Sung. “X-RAY IMAGING APPARATUS AND CONTROL METHOD FOR THE SAME”, KR, 10-1710866, 22 February 2017

13. Jong Chul Ye, Kyong Hwan Jin, and Yoseob Han. “INTERIOR TOMOGRAPHY RECONSTRUCTION APPARATUS USING THE LOW RANK FOURIER INTERPOLATION AND CONTROLLING METHOD THEREOF”, KR, 10-168530, 06 December 2016