A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI. - Kyong Hwan Jin; Dongwook Lee 005; Jong Chul Ye (ISBI, 2015)

Patch based low rank structured matrix completion for accelerated scanning microscopy. - Kyong Hwan Jin; Junhong Min; Jong Chul Ye (ISBI, 2015)

Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal. - Kyong Hwan Jin; Jong Chul Ye (CoRR, 2015)

Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting. - Kyong Hwan Jin; Jong Chul Ye (IEEE Trans. Image Process., 2015)

Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation. - Kyong Hwan Jin; Dongwook Lee 005; Juyoung Lee; Jong Chul Ye (ICIP, 2016)

Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix. - Kyong Hwan Jin; Jong Chul Ye (ICIP, 2016)

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. - Eun Ju Cha; Kyong Hwan Jin; Dongwook Lee 005; Eung-Yeop Kim; Seung Hong Choi; Jong Chul Ye (ISBI, 2016)

Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach. - Yoseob Han; Kyong Hwan Jin; Kyung Sang Kim; Jong Chul Ye (ISBI, 2016)

Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation. - Kyong Hwan Jin; Yoseob Han; Jong Chul Ye (ISBI, 2016)

Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix. - Kyong Hwan Jin; Juyoung Lee; Dongwook Lee 005; Jong Chul Ye (ISBI, 2016)

Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation. - Juyoung Lee; Kyong Hwan Jin; Jong Chul Ye (ISBI, 2016)

A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix. - Kyong Hwan Jin; Dongwook Lee 005; Jong Chul Ye (IEEE Trans. Computational Imaging, 2016)

Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging. - Hongyoon Choi; Kyong Hwan Jin (CoRR, 2017)

CNN-Based Projected Gradient Descent for Consistent Image Reconstruction. - Harshit Gupta; Kyong Hwan Jin; Ha Q. Nguyen 001; Michael T. McCann; Michael Unser (CoRR, 2017)

A Review of Convolutional Neural Networks for Inverse Problems in Imaging. - Michael T. McCann; Kyong Hwan Jin; Michael Unser (CoRR, 2017)

Convolutional Neural Networks for Inverse Problems in Imaging: A Review. - Michael T. McCann; Kyong Hwan Jin; Michael Unser (IEEE Signal Process. Mag., 2017)

Deep Convolutional Neural Network for Inverse Problems in Imaging. - Kyong Hwan Jin; Michael T. McCann; Emmanuel Froustey; Michael Unser (IEEE Trans. Image Process., 2017)

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation. - Jong Chul Ye; Jong Min Kim 002; Kyong Hwan Jin; Kiryung Lee (IEEE Trans. Inf. Theory, 2017)

3D BBPConvNet to reconstruct parallel MRI. - Kyong Hwan Jin; Michael Unser (ISBI, 2018)

Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals. - Kyong Hwan Jin; Gain Kim; Yusuf Leblebici; Jong Chul Ye; Michael Unser (CoRR, 2018)

Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal. - Kyong Hwan Jin; Jong Chul Ye (IEEE Trans. Image Process., 2018)

Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy. - Junhong Min; Kyong Hwan Jin; Michael Unser; Jong Chul Ye (IEEE Trans. Image Process., 2018)

Unified Theory for Recovery of Sparse Signals in a General Transform Domain. - Kiryung Lee; Yanjun Li 001; Kyong Hwan Jin; Jong Chul Ye (IEEE Trans. Inf. Theory, 2018)

CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. - Harshit Gupta; Kyong Hwan Jin; Ha Q. Nguyen 001; Michael T. McCann; Michael Unser (IEEE Trans. Medical Imaging, 2018)

Self-Supervised Deep Active Accelerated MRI. - Kyong Hwan Jin; Michael Unser; Kwang Moo Yi (CoRR, 2019)

Time-Dependent Deep Image Prior for Dynamic MRI. - Kyong Hwan Jin; Harshit Gupta; Jerome Yerly; Matthias Stuber; Michael Unser (CoRR, 2019)

Reducing the Human Effort in Developing PET-CT Registration. - Teaghan O'Briain; Kyong Hwan Jin; Hongyoon Choi; Erika Chin; Magdalena Bazalova-Carter; Kwang Moo Yi (CoRR, 2019)

Deep Block Transform for Autoencoders. - Kyong Hwan Jin (IEEE Signal Process. Lett., 2021)

Time-Dependent Deep Image Prior for Dynamic MRI. - Jaejun Yoo 001; Kyong Hwan Jin; Harshit Gupta; Jérôme Yerly; Matthias Stuber; Michael Unser (IEEE Trans. Medical Imaging, 2021)

Local Texture Estimator for Implicit Representation Function. - Jaewon Lee; Kyong Hwan Jin (CVPR, 2022)

Learning Local Implicit Fourier Representation for Image Warping. - Jaewon Lee; Kwang Pyo Choi; Kyong Hwan Jin (ECCV (18), 2022)

ABCD : Arbitrary Bitwise Coefficient for De-Quantization. - Woo Kyoung Han; Byeonghun Lee; Sang Hyun Park 004; Kyong Hwan Jin (CVPR, 2023)

B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution. - Byeonghyun Pak; Jaewon Lee; Kyong Hwan Jin (CVPR, 2023)

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli-Mosabbeb; Kilian M. Pohl; Sanghyun Park 004 (MICCAI (2), 2023)

DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. - Jae-Won Lee; Jong-Hyun Won; Seonggwang Jeon; Yujin Choo; Yubin Yeon; Jin-Seon Oh; Minsoo Kim; Seonhwa Kim; InSuk Joung; Cheongjae Jang; Sung Jong Lee; Tae Hyun Kim; et al. (Bioinform., 2023)

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. - Woo Kyoung Han; Sunghoon Im; Jaedeok Kim; Kyong Hwan Jin (CVPR, 2024)

Self-rectifying Diffusion Sampling with Perturbed-Attention Guidance. - Donghoon Ahn; Hyoungwon Cho; Jaewon Min; Wooseok Jang; Jungwoo Kim; Seonhwa Kim; Hyun Hee Park; Kyong Hwan Jin; Seungryong Kim (ECCV (73), 2024)

BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow. - EungGu Kang; Byeonghun Lee; Sunghoon Im; Kyong Hwan Jin (ECCV (42), 2024)

BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction. - Minsu Kim; Giseop Kim; Kyong Hwan Jin; Sunwook Choi (ICRA, 2024)

Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition. - Minsu Kim; Yongjun Lee; Woo Kyoung Han; Kyong Hwan Jin (WACV, 2024)

Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. - Minsu Kim; Jaewon Lee; Byeonghun Lee; Sunghoon Im; Kyong Hwan Jin (WACV, 2024)

A Noise is Worth Diffusion Guidance. - Donghoon Ahn; Jiwon Kang; Sanghyun Lee; Jaewon Min; Minjae Kim; Wooseok Jang; Hyoungwon Cho; Sayak Paul; Seonhwa Kim; Eunju Cha; Kyong Hwan Jin; Seungryong Kim (CoRR, 2024)

Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. - Soopil Kim; Heejung Park; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2024)

FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. - Myeongkyun Kang; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Pattern Recognit., 2024)

Towards Lossless Implicit Neural Representation via Bit Plane Decomposition. - Woo Kyoung Han; Byeonghun Lee; Hyunmin Cho; Sunghoon Im; Kyong Hwan Jin (CVPR, 2025)

BF-STVSR: B-Splines and Fourier - Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution. - Eunjin Kim; Hyeonjin Kim; Kyong Hwan Jin; Jaejun Yoo 001 (CVPR, 2025)

Identity-preserving Distillation Sampling by Fixed-Point Iterator. - Seonhwa Kim; Jiwon Kim; Soobin Park; Donghoon Ahn; Jiwon Kang; Seungryong Kim; Kyong Hwan Jin; Eunju Cha (CVPR, 2025)

Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2025)

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. - Soopil Kim; Heejung Park; Philip Chikontwe; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution. - Sejin Park; Sangmin Lee; Kyong Hwan Jin; Seung-Won Jung (CoRR, 2025)

JPEG Processing Neural Operator for Backward-Compatible Coding. - Woo Kyoung Han; Yongjun Lee; Byeonghun Lee; Sang Hyun Park; Sunghoon Im; Kyong Hwan Jin (CoRR, 2025)