Jong Chul Ye

Orcid: 0000-0001-9763-9609

According to our database1, Jong Chul Ye authored at least 334 papers between 1998 and 2024.

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Bibliography

2024
MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer.
IEEE J. Biomed. Health Informatics, October, 2024

Fundus Photo Enhancement dataset.
Dataset, June, 2024

Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models.
IEEE J. Biomed. Health Informatics, March, 2024

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology.
Medical Image Anal., January, 2024

C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.
Medical Image Anal., January, 2024

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction.
IEEE Trans. Computational Imaging, 2024

Magnitude and angle dynamics in training single ReLU neurons.
Neural Networks, 2024

Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements.
NeuroImage, 2024

Fundus image enhancement through direct diffusion bridges.
CoRR, 2024

Solving Video Inverse Problems Using Image Diffusion Models.
CoRR, 2024

Amortized Posterior Sampling with Diffusion Prior Distillation.
CoRR, 2024

Self-Guided Generation of Minority Samples Using Diffusion Models.
CoRR, 2024

(Deep) Generative Geodesics.
CoRR, 2024

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems.
CoRR, 2024

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.
CoRR, 2024

LDMol: Text-Conditioned Molecule Diffusion Model Leveraging Chemically Informative Latent Space.
CoRR, 2024

MindFormer: A Transformer Architecture for Multi-Subject Brain Decoding via fMRI.
CoRR, 2024

Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection.
CoRR, 2024

Spectral Motion Alignment for Video Motion Transfer using Diffusion Models.
CoRR, 2024

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation.
CoRR, 2024

Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing.
CoRR, 2024

Generalized Consistency Trajectory Models for Image Manipulation.
CoRR, 2024

DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing.
CoRR, 2024

UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation.
CoRR, 2024

Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing.
CoRR, 2024

Defining Neural Network Architecture through Polytope Structures of Dataset.
CoRR, 2024

Prompt-tuning Latent Diffusion Models for Inverse Problems.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Defining Neural Network Architecture through Polytope Structures of Datasets.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Don't Play Favorites: Minority Guidance for Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Noise2one: One-Shot Image Denoising with Local Implicit Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Self-Supervised Debiasing Using Low Rank Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Patch-Wise Graph Contrastive Learning for Image Translation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
One-Shot Adaptation of GAN in Just One CLIP.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment.
IEEE J. Biomed. Health Informatics, August, 2023

The Foundations of Computational Imaging: A signal processing perspective.
IEEE Signal Process. Mag., July, 2023

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion.
IEEE Trans. Medical Imaging, April, 2023

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors].
IEEE Signal Process. Mag., March, 2023

Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data.
Nat. Mac. Intell., January, 2023

Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation.
IEEE Trans. Medical Imaging, 2023

Task-Agnostic Vision Transformer for Distributed Learning of Image Processing.
IEEE Trans. Image Process., 2023

Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications.
IEEE Signal Process. Mag., 2023

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor].
IEEE Signal Process. Mag., 2023

Tunable image quality control of 3-D ultrasound using switchable CycleGAN.
Medical Image Anal., 2023

Breast Ultrasound Report Generation using LangChain.
CoRR, 2023

RO-LLaMA: Generalist LLM for Radiation Oncology via Noise Augmentation and Consistency Regularization.
CoRR, 2023

Regularization by Texts for Latent Diffusion Inverse Solvers.
CoRR, 2023

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology.
CoRR, 2023

scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain.
CoRR, 2023

ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF.
CoRR, 2023

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems.
CoRR, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR, 2023

Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance.
CoRR, 2023

Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI.
CoRR, 2023

Data Topology-Dependent Upper Bounds of Neural Network Widths.
CoRR, 2023

LLM Itself Can Read and Generate CXR Images.
CoRR, 2023

Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion.
CoRR, 2023

Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition.
CoRR, 2023

Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model.
CoRR, 2023

Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models.
CoRR, 2023

Don't Play Favorites: Minority Guidance for Diffusion Models.
CoRR, 2023

ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts.
CoRR, 2023

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction.
CoRR, 2023

MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling.
CoRR, 2023

Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Direct Diffusion Bridge using Data Consistency for Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Minimizing Trajectory Curvature of ODE-based Generative Models.
Proceedings of the International Conference on Machine Learning, 2023

Denoising MCMC for Accelerating Diffusion-Based Generative Models.
Proceedings of the International Conference on Machine Learning, 2023

Diffusion-based Image Translation using disentangled style and content representation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Diffusion Posterior Sampling for General Noisy Inverse Problems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Score-Based Diffusion Models for Bayesian Image Reconstruction.
Proceedings of the IEEE International Conference on Image Processing, 2023

Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN.
Proceedings of the IEEE International Conference on Acoustics, 2023

Training Debiased Subnetworks with Contrastive Weight Pruning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Performance Analysis of Fractional Learning Algorithms.
IEEE Trans. Signal Process., 2022

Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound.
IEEE Trans. Medical Imaging, 2022

Deep Learning in Biological Image and Signal Processing [From the Guest Editors].
IEEE Signal Process. Mag., 2022

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective.
IEEE Signal Process. Mag., 2022

DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification.
Medical Image Anal., 2022

Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization.
Medical Image Anal., 2022

Score-based diffusion models for accelerated MRI.
Medical Image Anal., 2022

Molecular Structure-Property Co-Trained Foundation Model for In Silico Chemistry.
CoRR, 2022

Self-supervised debiasing using low rank regularization.
CoRR, 2022

Efficient debiasing with contrastive weight pruning.
CoRR, 2022

Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation.
CoRR, 2022

Pyramidal Denoising Diffusion Probabilistic Models.
CoRR, 2022

Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.
CoRR, 2022

Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models.
CoRR, 2022

A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies.
CoRR, 2022

Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning.
CoRR, 2022

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation.
CoRR, 2022

Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks.
CoRR, 2022

Energy-Based Contrastive Learning of Visual Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Diffusion Models for Inverse Problems using Manifold Constraints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diffusion Deformable Model for 4D Temporal Medical Image Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2022

CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model.
Proceedings of the Computer Vision - ECCV 2022, 2022

CLIPstyler: Image Style Transfer with a Single Text Condition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN.
IEEE Trans. Medical Imaging, 2021

DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning.
IEEE Trans. Medical Imaging, 2021

Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation.
IEEE Trans. Medical Imaging, 2021

Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN.
IEEE Trans. Medical Imaging, 2021

Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution.
IEEE Trans. Medical Imaging, 2021

Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN.
IEEE Trans. Geosci. Remote. Sens., 2021

Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising.
IEEE Trans. Computational Imaging, 2021

AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising.
IEEE Trans. Computational Imaging, 2021

Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain.
IEEE Trans. Computational Imaging, 2021

Deep learning STEM-EDX tomography of nanocrystals.
Nat. Mach. Intell., 2021

Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN.
Nat. Mach. Intell., 2021

CycleMorph: Cycle consistent unsupervised deformable image registration.
Medical Image Anal., 2021

CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement.
Medical Image Anal., 2021

Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data.
Medical Image Anal., 2021

DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models.
CoRR, 2021

Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN.
CoRR, 2021

Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training.
CoRR, 2021

DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models.
CoRR, 2021

Deep Learning for Ultrasound Beamforming.
CoRR, 2021

Federated CycleGAN for Privacy-Preserving Image-to-Image Translation.
CoRR, 2021

Unsupervised Deep Learning Methods for Biological Image Reconstruction.
CoRR, 2021

Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning.
CoRR, 2021

Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN.
CoRR, 2021

Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning.
CoRR, 2021

Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification.
CoRR, 2021

Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation.
CoRR, 2021

Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography.
CoRR, 2021

Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer.
CoRR, 2021

Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus.
CoRR, 2021

Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Unsupervised Deep Learning For Accelerated High Quality Echocardiography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Switchable Deep Beamformer For Ultrasound Imaging Using Adain.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Deep Learning Diffuse Optical Tomography.
IEEE Trans. Medical Imaging, 2020

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.
IEEE Trans. Medical Imaging, 2020

k-Space Deep Learning for Accelerated MRI.
IEEE Trans. Medical Imaging, 2020

Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal.
IEEE Trans. Medical Imaging, 2020

Mumford-Shah Loss Functional for Image Segmentation With Deep Learning.
IEEE Trans. Image Process., 2020

Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN.
IEEE Trans. Computational Imaging, 2020

CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry.
IEEE Trans. Computational Imaging, 2020

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors].
IEEE Signal Process. Mag., 2020

Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning.
IEEE Signal Process. Mag., 2020

Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems.
SIAM J. Imaging Sci., 2020

Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning.
Proc. IEEE, 2020

Deep learning for tomographic image reconstruction.
Nat. Mach. Intell., 2020

Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks.
Nat. Mach. Intell., 2020

Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging.
IEEE J. Sel. Top. Signal Process., 2020

Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.
IEEE J. Sel. Top. Signal Process., 2020

CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN.
CoRR, 2020

Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation.
CoRR, 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
CoRR, 2020

Switchable Deep Beamformer.
CoRR, 2020

AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising.
CoRR, 2020

OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN.
CoRR, 2020

Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN.
CoRR, 2020

Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal.
CoRR, 2020

Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution.
CoRR, 2020

Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN.
CoRR, 2020

Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis.
CoRR, 2020

Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images.
Biomed. Signal Process. Control., 2020

Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive Radiotherapy.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised Learning for Compressed Sensing MRI Using Cyclegan.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Learning Fast MRI Using Channel Attention in Magnitude Domain.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020



2019
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning.
IEEE Trans. Medical Imaging, 2019

Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning.
CoRR, 2019

Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems.
CoRR, 2019

CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry.
CoRR, 2019

Adaptive and Compressive Beamforming using Deep Learning for Medical Ultrasound.
CoRR, 2019

Boosting CNN beyond Label in Inverse Problems.
CoRR, 2019

Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN.
CoRR, 2019

Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer.
CoRR, 2019

Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning.
CoRR, 2019

Universal Deep Beamformer for Variable Rate Ultrasound Imaging.
CoRR, 2019

Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Learning-Based Universal Beamformer for Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Understanding Geometry of Encoder-Decoder CNNs.
Proceedings of the 36th International Conference on Machine Learning, 2019

CollaGAN: Collaborative GAN for Missing Image Data Imputation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Image Reconstruction is a New Frontier of Machine Learning.
IEEE Trans. Medical Imaging, 2018

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.
IEEE Trans. Medical Imaging, 2018

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT.
IEEE Trans. Medical Imaging, 2018

Unified Theory for Recovery of Sparse Signals in a General Transform Domain.
IEEE Trans. Inf. Theory, 2018

Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy.
IEEE Trans. Image Process., 2018

Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal.
IEEE Trans. Image Process., 2018

Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.
IEEE Trans. Biomed. Eng., 2018

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems.
SIAM J. Imaging Sci., 2018

A Mathematical Framework for Deep Learning in Elastic Source Imaging.
SIAM J. Appl. Math., 2018

One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection.
CoRR, 2018

Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals.
CoRR, 2018

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography.
CoRR, 2018

k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography.
CoRR, 2018

k-Space Deep Learning for Reference-free EPI Ghost Correction.
CoRR, 2018

k-Space Deep Learning for Accelerated MRI.
CoRR, 2018

Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach.
CoRR, 2018

Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner.
CoRR, 2018

Improved Time-Resolved MRA Using k-Space Deep Learning.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Framelet denoising for low-dose CT using deep learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Learning for Accelerated Ultrasound Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation.
IEEE Trans. Inf. Theory, 2017

A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media.
SIAM J. Imaging Sci., 2017

Deep Learning Interior Tomography for Region-of-Interest Reconstruction.
CoRR, 2017

Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging.
CoRR, 2017

Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography.
CoRR, 2017

Deep Convolutional Framelets: A General Deep Learning for Inverse Problems.
CoRR, 2017

Geometric GAN.
CoRR, 2017

Deep artifact learning for compressed sensing and parallel MRI.
CoRR, 2017

Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets.
CoRR, 2017

Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction.
CoRR, 2017

Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR.
CoRR, 2017

Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction.
CoRR, 2017

Deep residual learning for compressed sensing MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017


Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix.
IEEE Trans. Computational Imaging, 2016

Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis.
NeuroImage, 2016

WaveNet: a deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.
CoRR, 2016

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis.
CoRR, 2016

Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty.
IEEE Trans. Signal Process., 2015

A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model.
IEEE Trans. Medical Imaging, 2015

Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty.
IEEE Trans. Medical Imaging, 2015

Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting.
IEEE Trans. Image Process., 2015

Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation.
SIAM J. Imaging Sci., 2015

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation.
SIAM J. Imaging Sci., 2015

Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal.
CoRR, 2015

Multiband dynamic compressed sensing.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Joint sparsity recovery method for the EIT problem to reconstruct anomalies.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Patch based low rank structured matrix completion for accelerated scanning microscopy.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI.
IEEE Trans. Medical Imaging, 2014

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3-D PET.
IEEE J. Biomed. Health Informatics, 2014

Compressed sensing fMRI using gradient-recalled echo and EPI sequences.
NeuroImage, 2014

Statistical analysis of fNIRS data: A comprehensive review.
NeuroImage, 2014

Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology.
NeuroImage, 2014

Accurate inversion of absorption and scattering in diffuse optical tomography without iterative Green's function update.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

ECG-gated cardiac CT reconstruction using patch based low rank regularization.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Corrections to "Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing".
IEEE Trans. Inf. Theory, 2013

Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Improving resolution of fluorescent microscopy using speckle illumination and joint sparse recovery.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Continuous localization using sparsity constraints for high-density super-resolution microscopy.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Parallel proximal algorithm for interior tomography problems in x-ray CT with tiny a priori knowledge.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Group sparse dictionary learning and inference for resting-state fMRI analysis of Alzheimer'S disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Subspace penalized sparse learning for joint sparse recovery.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Improving Noise Robustness in Subspace-Based Joint Sparse Recovery.
IEEE Trans. Signal Process., 2012

Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing.
IEEE Trans. Inf. Theory, 2012

Compressive subspace fitting for multiple measurement vectors.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Resting-state fMRI analysis of Alzheimer's disease progress using sparse dictionary learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

MMSE optimal non-local motion compensated k-t FOCUSS for compressed sensing cardiac cine imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Compressed sensing reconstruction of statistical parameter map for functional diffuse optical tomography.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A statistical framework for material decomposition using multi-energy photon counting x-ray detector.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Dynamic sparse support tracking with multiple measurement vectors using compressive MUSIC.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion.
IEEE Trans. Medical Imaging, 2011

Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity.
IEEE Trans. Medical Imaging, 2011

Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements.
NeuroImage, 2011

Noise Robust Joint Sparse Recovery using Compressive Subspace Fitting
CoRR, 2011

Exact Dynamic Support Tracking with Multiple Measurement Vectors using Compressive MUSIC
CoRR, 2011

Belief propagation for joint sparse recovery
CoRR, 2011

Compressive MUSIC with optimized partial support for joint sparse recovery.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

A data-driven spatially adaptive sparse generalized linear model for functional MRI analysis.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Diffuse optical tomography using generalized music algorithm.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

L0-compressed sensing for parallel dynamic MRI using sparse Bayesian learning.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Sparse topological data recovery in medical images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Motion estimated and compensated compressed sensing dynamic magnetic resonance imaging: What we can learn from video compression techniques.
Int. J. Imaging Syst. Technol., 2010

Compressive MUSIC: A Missing Link Between Compressive Sensing and Array Signal Processing
CoRR, 2010

Statistical parametric mapping of FMRI data using sparse dictionary learning.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

A sparse Bayesian learning for highly accelerated dynamic MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Compressive inverse scattering using ultrashort pulses.
Proceedings of the Computational Imaging VIII, 2010

2009
NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy.
NeuroImage, 2009

AB Initio Maximum Likelihood Reconstruction of Helical Macromolecules Using Electron Microscopy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Performance Evaluation of Accelerated Functional MRI Acquisition Using Compressed Sensing.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Compressed Sensing Metal Artifact Removal in Dental CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Single channel 2-D and 3-D blind image deconvolution for circularly symmetric fir blurs.
Proceedings of the International Conference on Image Processing, 2009

2008
Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

General linear model and inference for near infrared spectroscopy using global confidence region analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

High resolution dynamic MRI using motion estimated and compensated compressed sensing.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Non-iterative exact inverse scattering using simultaneous orthogonal matching pursuit (S-OMP).
Proceedings of the IEEE International Conference on Acoustics, 2008

3D macromolecule structure reconstruction from electron micrograph by exploiting symmetry and sparsity.
Proceedings of the Computational Imaging VI, 2008

2007
Compressed Sensing Shape Estimation of Star-Shaped Objects in Fourier Imaging.
IEEE Signal Process. Lett., 2007

Generalized K-T Blast and K-T Sense Using Focuss.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Single Channel Exact Blind Image Deconvolution from Radially Symmmetric Fir Blur.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

High resolution projection reconstruction MR imaging using FOCUSS.
Proceedings of the Computational Imaging V, San Jose, 2007

Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory.
Proceedings of the Computational Imaging V, San Jose, 2007

2006
Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems.
IEEE Trans. Image Process., 2006

x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
In vivo optical molecular imaging: principles and signal processing issues.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003
Cramer-Rao bounds for parametric shape estimation in inverse problems.
IEEE Trans. Image Process., 2003

Channel adaptive prioritized transmission of layered video over wireless LAN.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

Video streaming over wireless LAN with efficient scalable coding and prioritized adaptive transmission.
Proceedings of the 2003 International Conference on Image Processing, 2003

Rate-distortion optimized data partitioning for video using backward adaptation.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples.
Int. J. Comput. Vis., 2002

Cramer-Rao bounds for parametric shape estimation.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Nonlinear multigrid algorithms for Bayesian optical diffusion tomography.
IEEE Trans. Image Process., 2001

2000
Asymptotic global confidence regions in parametric shape estimation problems.
IEEE Trans. Inf. Theory, 2000

Global confidence regions in parametric shape estimation.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Nonlinear Multigrid Optimization for Bayesian Diffusion Tomography.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Optimal Parameter Updating for Optical Diffusion Imaging.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998


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