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2020 – today
- 2023
[j84]Jaeyoung Huh
, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Jeong Eun Lee, Eun Sun Lee, Jong Chul Ye:
Tunable image quality control of 3-D ultrasound using switchable CycleGAN. Medical Image Anal. 83: 102651 (2023)- [j83]Chanseok Lee, Gookho Song, Hyeonggeon Kim, Jong Chul Ye, Mooseok Jang:
Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data. Nat. Mac. Intell. 5(1): 35-45 (2023) - [j82]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. 40(1): 28-30 (2023) - [j81]Zhizhen Zhao, Jong Chul Ye, Yoram Bresler:
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. IEEE Signal Process. Mag. 40(1): 148-163 (2023) - [j80]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 40(2): 13-15 (2023) - [j79]Boah Kim, Jeongsol Kim, Jong Chul Ye:
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. IEEE Trans. Image Process. 32: 203-218 (2023) - [j78]Hyungjin Chung, Eun Sun Lee, Jong Chul Ye:
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. IEEE Trans. Medical Imaging 42(4): 922-934 (2023) - [i132]Sangjoon Park, Ik-Jae Lee, Jun Won Kim, Jong Chul Ye:
MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling. CoRR abs/2301.02064 (2023) - [i131]Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye:
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. CoRR abs/2301.03027 (2023) - [i130]Sangyun Lee, Beomsu Kim, Jong Chul Ye:
Minimizing Trajectory Curvature of ODE-based Generative Models. CoRR abs/2301.12003 (2023) - [i129]Kwanyoung Kim, Yujin Oh, Jong Chul Ye:
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts. CoRR abs/2301.12171 (2023) - [i128]Soobin Um, Jong Chul Ye:
Don't Play Favorites: Minority Guidance for Diffusion Models. CoRR abs/2301.12334 (2023) - [i127]Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye:
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models. CoRR abs/2302.03900 (2023) - [i126]Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye:
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model. CoRR abs/2303.00091 (2023) - [i125]Hyungjin Chung, Suhyeon Lee, Jong Chul Ye:
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. CoRR abs/2303.05754 (2023) - [i124]Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye:
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. CoRR abs/2303.08440 (2023) - [i123]Serin Yang, Hyunmin Hwang, Jong Chul Ye:
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. CoRR abs/2303.08622 (2023) - [i122]Inhwa Han, Serin Yang, Taesung Kwon, Jong Chul Ye:
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion. CoRR abs/2303.08767 (2023) - [i121]Suhyeon Lee, Won Jun Kim, Jong Chul Ye:
LLM Itself Can Read and Generate CXR Images. CoRR abs/2305.11490 (2023) - 2022
- [j77]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) - [j76]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) - [j75]Hyungjin Chung, Jong Chul Ye:
Score-based diffusion models for accelerated MRI. Medical Image Anal. 80: 102479 (2022) - [j74]Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye:
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9931-9943 (2022) - [j73]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) - [j72]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) - [j71]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) - [j70]Abdul Wahab, Shujaat Khan, Imran Naseem, Jong Chul Ye:
Performance Analysis of Fractional Learning Algorithms. IEEE Trans. Signal Process. 70: 5164-5177 (2022) - [c101]Inhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye:
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. AICAS 2022: 262-265 - [c100]Kwanyoung Kim, Taesung Kwon, Jong Chul Ye:
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. CVPR 2022: 1998-2006 - [c99]Gwanghyun Kim, Taesung Kwon, Jong Chul Ye:
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. CVPR 2022: 2416-2425 - [c98]Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CVPR 2022: 12403-12412 - [c97]Gihyun Kwon, Jong Chul Ye:
CLIPstyler: Image Style Transfer with a Single Text Condition. CVPR 2022: 18041-18050 - [c96]Chanyong Jung, Gihyun Kwon, Jong Chul Ye:
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. CVPR 2022: 18239-18248 - [c95]Boah Kim, Inhwa Han, Jong Chul Ye:
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. ECCV (31) 2022: 347-364 - [c94]Yujin Oh, Jong Chul Ye:
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation. ECCV (21) 2022: 627-643 - [c93]Jaeyoung Huh, Shujaat Khan, Jong Chul Ye:
Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network. ICASSP 2022: 1206-1210 - [c92]Boah Kim, Jong Chul Ye:
Diffusion Deformable Model for 4D Temporal Medical Image Generation. MICCAI (1) 2022: 539-548 - [c91]Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye:
Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. MICCAI (6) 2022: 634-643 - [c90]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS 2022 - [c89]Beomsu Kim, Jong Chul Ye:
Energy-Based Contrastive Learning of Visual Representations. NeurIPS 2022 - [i120]Beomsu Kim, Jong Chul Ye:
Energy-Based Contrastive Learning of Visual Representations. CoRR abs/2202.04933 (2022) - [i119]Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks. CoRR abs/2202.05510 (2022) - [i118]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) - [i117]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning. CoRR abs/2202.08262 (2022) - [i116]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) - [i115]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) - [i114]Gihyun Kwon, Jong Chul Ye:
One-Shot Adaptation of GAN in Just One CLIP. CoRR abs/2203.09301 (2022) - [i113]Hyungjin Chung, Eun Sun Lee, Jong Chul Ye:
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. CoRR abs/2203.12621 (2022) - [i112]Sangjoon Park, Jong Chul Ye:
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation. CoRR abs/2204.03500 (2022) - [i111]Beomsu Kim, Jong Chul Ye:
Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models. CoRR abs/2205.14817 (2022) - [i110]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. CoRR abs/2206.00941 (2022) - [i109]Boah Kim, Jong Chul Ye:
Diffusion Deformable Model for 4D Temporal Medical Image Generation. CoRR abs/2206.13295 (2022) - [i108]Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye:
Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. CoRR abs/2207.02377 (2022) - [i107]Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye:
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis. CoRR abs/2207.11192 (2022) - [i106]Dohoon Ryu, Jong Chul Ye:
Pyramidal Denoising Diffusion Probabilistic Models. CoRR abs/2208.01864 (2022) - [i105]Sangjoon Park, Eun Sun Lee, Jeong Eun Lee, Jong Chul Ye:
Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation. CoRR abs/2208.05140 (2022) - [i104]Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Magnitude and Angle Dynamics in Training Single ReLU Neurons. CoRR abs/2209.13394 (2022) - [i103]Boah Kim, Yujin Oh, Jong Chul Ye:
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. CoRR abs/2209.14566 (2022) - [i102]Beomsu Kim, Jong Chul Ye:
Denoising MCMC for Accelerating Diffusion-Based Generative Models. CoRR abs/2209.14593 (2022) - [i101]Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR abs/2209.14687 (2022) - [i100]Gihyun Kwon, Jong Chul Ye:
Diffusion-based Image Translation using Disentangled Style and Content Representation. CoRR abs/2209.15264 (2022) - [i99]Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye:
Efficient debiasing with contrastive weight pruning. CoRR abs/2210.05247 (2022) - [i98]Geon Yeong Park, Chanyong Jung, Jong Chul Ye, Sang Wan Lee:
Self-supervised debiasing using low rank regularization. CoRR abs/2210.05248 (2022) - [i97]Jinho Chang, Jong Chul Ye:
Molecular Structure-Property Co-Trained Foundation Model for In Silico Chemistry. CoRR abs/2211.10590 (2022) - [i96]Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR abs/2211.10655 (2022) - [i95]Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye:
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CoRR abs/2211.10656 (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]