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2020 – today
- 2022
[j74]Sangjoon Park, Gwanghyun Kim, Yujin Oh
, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye:
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification. Medical Image Anal. 75: 102299 (2022)- [j73]Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Won-Jin Moon, Jong Chul Ye:
Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization. Medical Image Anal. 79: 102477 (2022) - [j72]Erik Meijering, Vince D. Calhoun, Gloria Menegaz, David J. Miller, Jong Chul Ye:
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. 39(2): 24-26 (2022) - [j71]Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye:
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. 39(2): 28-44 (2022) - [j70]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound. IEEE Trans. Medical Imaging 41(2): 266-278 (2022) - [c89]Jaeyoung Huh, Shujaat Khan, Jong Chul Ye:
Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network. ICASSP 2022: 1206-1210 - [i105]Beomsu Kim, Jong Chul Ye:
Energy-Based Contrastive Learning of Visual Representations. CoRR abs/2202.04933 (2022) - [i104]Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks. CoRR abs/2202.05510 (2022) - [i103]Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Chang Min Park, Jong Chul Ye:
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation. CoRR abs/2202.06431 (2022) - [i102]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning. CoRR abs/2202.08262 (2022) - [i101]Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye:
A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies. CoRR abs/2202.08510 (2022) - [i100]Chanyong Jung, Gihyun Kwon, Jong Chul Ye:
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. CoRR abs/2203.01532 (2022) - [i99]Gihyun Kwon, Jong Chul Ye:
One-Shot Adaptation of GAN in Just One CLIP. CoRR abs/2203.09301 (2022) - [i98]Hyungjin Chung, Eun Sun Lee, Jong Chul Ye:
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. CoRR abs/2203.12621 (2022) - [i97]Sangjoon Park, Jong Chul Ye:
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation. CoRR abs/2204.03500 (2022) - [i96]Beomsu Kim, Jong Chul Ye:
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models. CoRR abs/2205.14817 (2022) - [i95]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. CoRR abs/2206.00941 (2022) - 2021
- [j69]Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye:
CycleMorph: Cycle consistent unsupervised deformable image registration. Medical Image Anal. 71: 102036 (2021) - [j68]Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye:
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. Medical Image Anal. 71: 102047 (2021) - [j67]Jawook Gu, Tae Seong Yang, Jong Chul Ye, Dong Hyun Yang:
CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement. Medical Image Anal. 74: 102209 (2021) - [j66]Yoseob Han, Jaeduck Jang, Eunju Cha, Junho Lee, Hyungjin Chung, Myoungho Jeong, Tae-Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, Sungwoo Hwang, Eunha Lee, Jong Chul Ye:
Deep learning STEM-EDX tomography of nanocrystals. Nat. Mach. Intell. 3(3): 267-274 (2021) - [j65]Hyungjin Chung, Jong Chul Ye:
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. Nat. Mach. Intell. 3(10): 861-863 (2021) - [j64]Jawook Gu, Jong Chul Ye:
AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. IEEE Trans. Computational Imaging 7: 73-85 (2021) - [j63]Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye:
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. IEEE Trans. Computational Imaging 7: 747-758 (2021) - [j62]Taesung Kwon, Jong Chul Ye:
Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising. IEEE Trans. Computational Imaging 7: 1354-1368 (2021) - [j61]Joonyoung Song, Jaeheon Jeong, Dae-Soon Park, Hyun-Ho Kim, Doo-Chun Seo, Jong Chul Ye:
Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN. IEEE Trans. Geosci. Remote. Sens. 59(8): 6823-6839 (2021) - [j60]Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye:
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. IEEE Trans. Medical Imaging 40(1): 166-179 (2021) - [j59]DongHun Ryu, Dongmin Ryu, YoonSeok Baek, Hyungjoo Cho, Geon Kim, Young Seo Kim, Yongki Lee, Yoosik Kim, Jong Chul Ye, Hyunseok Min, YongKeun Park:
DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning. IEEE Trans. Medical Imaging 40(5): 1508-1518 (2021) - [j58]Serin Yang, Eung-Yeop Kim, Jong Chul Ye:
Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN. IEEE Trans. Medical Imaging 40(11): 3015-3029 (2021) - [j57]Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye:
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation. IEEE Trans. Medical Imaging 40(11): 3125-3139 (2021) - [j56]Junghyun Lee, Jawook Gu, Jong Chul Ye:
Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN. IEEE Trans. Medical Imaging 40(12): 3932-3944 (2021) - [c88]Gihyun Kwon, Jong Chul Ye:
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. ICCV 2021: 13960-13969 - [c87]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Switchable Deep Beamformer For Ultrasound Imaging Using Adain. ISBI 2021: 677-680 - [c86]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Unsupervised Deep Learning For Accelerated High Quality Echocardiography. ISBI 2021: 1738-1741 - [c85]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN. DART/FAIR@MICCAI 2021: 158-167 - [c84]Kwanyoung Kim, Jong Chul Ye:
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images. NeurIPS 2021: 864-874 - [c83]Byung-Hoon Kim, Jong Chul Ye, Jae-Jin Kim:
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. NeurIPS 2021: 4314-4327 - [c82]Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye:
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. NeurIPS 2021: 24617-24630 - [i94]Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye:
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus. CoRR abs/2103.07055 (2021) - [i93]Gwanghyun Kim, Sangjoon Park, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye:
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer. CoRR abs/2103.07062 (2021) - [i92]Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye:
Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography. CoRR abs/2103.09022 (2021) - [i91]Gihyun Kwon, Jong Chul Ye:
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. CoRR abs/2103.16146 (2021) - [i90]Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek:
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing. CoRR abs/2104.02895 (2021) - [i89]Yujin Oh, Jong Chul Ye:
Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation. CoRR abs/2104.05892 (2021) - [i88]Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye:
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification. CoRR abs/2104.07235 (2021) - [i87]Taesung Kwon, Jong Chul Ye:
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising. CoRR abs/2104.08538 (2021) - [i86]Hyoungjun Park, Myeongsu Na, Bumju Kim, Soohyun Park, Ki Hean Kim, Sunghoe Chang, Jong Chul Ye:
Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning. CoRR abs/2104.09435 (2021) - [i85]Hyungjin Chung, Jong Chul Ye:
Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. CoRR abs/2105.00194 (2021) - [i84]Hyungjin Chung, Jaehyun Kim, Jeong Hee Yoon, Jeong Min Lee, Jong Chul Ye:
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning. CoRR abs/2105.00240 (2021) - [i83]Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye:
Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR abs/2105.08040 (2021) - [i82]Byung-Hoon Kim, Jong Chul Ye, Jae-Jin Kim:
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. CoRR abs/2105.13495 (2021) - [i81]Kwanyoung Kim, Jong Chul Ye:
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images. CoRR abs/2106.07009 (2021) - [i80]Joonyoung Song, Jong Chul Ye:
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation. CoRR abs/2106.09246 (2021) - [i79]Ruud J. G. van Sloun, Jong Chul Ye, Yonina C. Eldar:
Deep Learning for Ultrasound Beamforming. CoRR abs/2109.11431 (2021) - [i78]Gwanghyun Kim, Jong Chul Ye:
DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models. CoRR abs/2110.02711 (2021) - [i77]Abdul Wahab, Shujaat Khan, Imran Naseem, Jong Chul Ye:
Performance Analysis of Fractional Learning Algorithms. CoRR abs/2110.05201 (2021) - [i76]Hyungjin Chung, Jong Chul Ye:
Score-based diffusion models for accelerated MRI. CoRR abs/2110.05243 (2021) - [i75]Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye:
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. CoRR abs/2111.01338 (2021) - [i74]Gihyun Kwon, Jong Chul Ye:
CLIPstyler: Image Style Transfer with a Single Text Condition. CoRR abs/2112.00374 (2021) - [i73]Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Eun Sun Lee, Jong Chul Ye:
Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN. CoRR abs/2112.02896 (2021) - [i72]Kwanyoung Kim, Taesung Kwon, Jong Chul Ye:
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. CoRR abs/2112.03696 (2021) - [i71]Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CoRR abs/2112.05146 (2021) - [i70]Boah Kim, Inhwa Han, Jong Chul Ye:
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models. CoRR abs/2112.05149 (2021) - 2020
- [j55]Mi-Sun Kang, Eunju Cha, Eunhee Kang, Jong Chul Ye, Nam-Gu Her, Jeong-Woo Oh, Do-Hyun Nam, Myoung-Hee Kim, Sejung Yang:
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images. Biomed. Signal Process. Control. 58: 101846 (2020) - [j54]Vishal Monga, Scott T. Acton, Abd-Krim Seghouane, Arrate Muñoz-Barrutia, Jong Chul Ye:
Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging. IEEE J. Sel. Top. Signal Process. 14(6): 1068-1071 (2020) - [j53]Eunju Cha, Gyutaek Oh, Jong Chul Ye:
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. IEEE J. Sel. Top. Signal Process. 14(6): 1292-1305 (2020) - [j52]Dongwook Lee, Won-Jin Moon, Jong Chul Ye:
Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks. Nat. Mach. Intell. 2(1): 34-42 (2020) - [j51]Ge Wang, Jong Chul Ye, Bruno De Man:
Deep learning for tomographic image reconstruction. Nat. Mach. Intell. 2(12): 737-748 (2020) - [j50]Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler:
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning. Proc. IEEE 108(1): 86-109 (2020) - [j49]Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, Jong Chul Ye:
Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems. SIAM J. Imaging Sci. 13(4): 2281-2306 (2020) - [j48]Mathews Jacob, Jong Chul Ye, Leslie Ying, Mariya Doneva:
Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. IEEE Signal Process. Mag. 37(1): 21-23 (2020) - [j47]Mathews Jacob, Merry P. Mani, Jong Chul Ye:
Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning. IEEE Signal Process. Mag. 37(1): 54-68 (2020) - [j46]Sungjun Lim, Hyoungjun Park, Sang-Eun Lee, Sunghoe Chang, Byeongsu Sim, Jong Chul Ye:
CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry. IEEE Trans. Computational Imaging 6: 1127-1138 (2020) - [j45]Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye:
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. IEEE Trans. Computational Imaging 6: 1285-1296 (2020) - [j44]Boah Kim, Jong Chul Ye:
Mumford-Shah Loss Functional for Image Segmentation With Deep Learning. IEEE Trans. Image Process. 29: 1856-1866 (2020) - [j43]Yoseob Han, Leonard Sunwoo, Jong Chul Ye:
k-Space Deep Learning for Accelerated MRI. IEEE Trans. Medical Imaging 39(2): 377-386 (2020) - [j42]Jae Jun Yoo, Sohail Sabir, Duchang Heo, Kee Hyun Kim, Abdul Wahab, Yoonseok Choi, Seul-I Lee, Eun Young Chae, Hak Hee Kim, Young Min Bae, Young-Wook Choi, Seungryong Cho, Jong Chul Ye:
Deep Learning Diffuse Optical Tomography. IEEE Trans. Medical Imaging 39(4): 877-887 (2020) - [j41]Yujin Oh, Sangjoon Park, Jong Chul Ye:
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets. IEEE Trans. Medical Imaging 39(8): 2688-2700 (2020) - [j40]Yoseob Han, Junyoung Kim, Jong Chul Ye:
Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal. IEEE Trans. Medical Imaging 39(11): 3571-3582 (2020) - [c81]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057 - [c80]Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) 2020: 152-170 - [c79]Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek:
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing. ECCV Workshops (3) 2020: 202-212 - [c78]Byeongsu Sim, Gyutaek Oh, Jong Chul Ye:
Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems. ICASSP 2020: 8644-8647 - [c77]Sangjoon Park, Jong Chul Ye:
Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive Radiotherapy. ISBI 2020: 638-641 - [c76]Junyoung Kim, Yoseob Han, Jong Chul Ye:
Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning. ISBI 2020: 642-645 - [c75]Joonhyung Lee, Hyunjong Kim, Hyungjin Chung, Jong Chul Ye:
Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. ISBI 2020: 917-920 - [c74]Gyutaek Oh, Byeongsu Sim, Jong Chul Ye:
Unsupervised Learning for Compressed Sensing MRI Using Cyclegan. ISBI 2020: 1082-1085 - [e2]Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye:
Machine Learning for Medical Image Reconstruction - Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12450, Springer 2020, ISBN 978-3-030-61597-0 [contents] - [i69]Byung-Hoon Kim, Jong Chul Ye:
Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis. CoRR abs/2001.03690 (2020) - [i68]Joonyoung Song, Jae-Heon Jeong, Dae-Soon Park, Hyun-Ho Kim, Doo-Chun Seo, Jong Chul Ye:
Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN. CoRR abs/2002.09847 (2020) - [i67]Eunju Cha, Gyutaek Oh, Jong Chul Ye:
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. CoRR abs/2003.07740 (2020) - [i66]Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye:
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. CoRR abs/2003.13096 (2020) - [i65]Yujin Oh, Sangjoon Park, Jong Chul Ye:
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets. CoRR abs/2004.05758 (2020) - [i64]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020) - [i63]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal. CoRR abs/2006.14773 (2020) - [i62]Junghyun Lee, Jawook Gu, Jong Chul Ye:
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN. CoRR abs/2007.03480 (2020) - [i61]Jaeyoung Huh, Shujaat Khan, Jong Chul Ye:
OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN. CoRR abs/2007.05205 (2020) - [i60]Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye:
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. CoRR abs/2008.01362 (2020) - [i59]Jawook Gu, Jong Chul Ye:
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising. CoRR abs/2008.05753 (2020) - [i58]Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye:
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration. CoRR abs/2008.05772 (2020) - [i57]Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye:
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN. CoRR abs/2008.12967 (2020) - [i56]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Switchable Deep Beamformer. CoRR abs/2008.13646 (2020) - [i55]Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR abs/2011.04994 (2020) - [i54]Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye:
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation. CoRR abs/2011.06337 (2020) - [i53]Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye:
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. CoRR abs/2011.10475 (2020) - [i52]Serin Yang, Eung-Yeop Kim, Jong Chul Ye:
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN. CoRR abs/2011.13150 (2020) - [i51]Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Jong Chul Ye:
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN. CoRR abs/2012.03842 (2020)
2010 – 2019
- 2019
- [j39]Yeo Hun Yoon, Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning. IEEE Trans. Medical Imaging 38(2): 325-336 (2019) - [c73]Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye:
CollaGAN: Collaborative GAN for Missing Image Data Imputation. CVPR 2019: 2487-2496 - [c72]Jong Chul Ye, Woon Kyoung Sung:
Understanding Geometry of Encoder-Decoder CNNs. ICML 2019: 7064-7073 - [c71]Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye:
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. MICCAI (6) 2019: 166-174 - [c70]Sungjun Lim, Jong Chul Ye:
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer. MLMIR@MICCAI 2019: 173-180 - [c69]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Deep Learning-Based Universal Beamformer for Ultrasound Imaging. MICCAI (5) 2019: 619-627 - [e1]