Jong Chul Ye
#115,927
Most Influential Person Now
Researcher
Jong Chul Ye's AcademicInfluence.com Rankings
Jong Chul Yeengineering Degrees
Engineering
#3513
World Rank
#4604
Historical Rank
Applied Physics
#661
World Rank
#682
Historical Rank
Electrical Engineering
#793
World Rank
#861
Historical Rank
Download Badge
Engineering
Jong Chul Ye's Degrees
Why Is Jong Chul Ye Influential?
(Suggest an Edit or Addition)Jong Chul Ye's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) (1051)
- NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy (2009) (726)
- k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI (2009) (669)
- A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction (2016) (619)
- Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets (2020) (542)
- Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT (2017) (368)
- Image Reconstruction is a New Frontier of Machine Learning (2018) (321)
- Statistical analysis of fNIRS data: A comprehensive review (2014) (316)
- Improved k–t BLAST and k–t SENSE using FOCUSS (2007) (265)
- Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems (2017) (260)
- Geometric GAN (2017) (255)
- Deep learning with domain adaptation for accelerated projection‐reconstruction MR (2017) (242)
- Wavelet minimum description length detrending for near-infrared spectroscopy. (2009) (238)
- Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing (2012) (231)
- Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network (2017) (221)
- Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks (2018) (217)
- k-Space Deep Learning for Accelerated MRI (2018) (215)
- A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix (2015) (206)
- Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography. (2015) (194)
- Deep residual learning for compressed sensing MRI (2017) (189)
- Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis (2016) (182)
- A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion (2011) (178)
- Deep learning for tomographic image reconstruction (2020) (169)
- FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data (2014) (152)
- Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning (2019) (149)
- Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting (2015) (145)
- Enhancement of terahertz pulse emission by optical nanoantenna. (2012) (144)
- NIRS-SPM: statistical parametric mapping for near infrared spectroscopy (2008) (140)
- Real-time visualization of 3-D dynamic microscopic objects using optical diffraction tomography. (2013) (136)
- Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification (2016) (130)
- Cycle‐consistent adversarial denoising network for multiphase coronary CT angiography (2018) (129)
- Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty (2015) (126)
- Optical diffusion tomography by iterative- coordinate-descent optimization in a Bayesian framework (1999) (125)
- Projection reconstruction MR imaging using FOCUSS (2007) (123)
- Radial k‐t FOCUSS for high‐resolution cardiac cine MRI (2010) (113)
- Nonlinear multigrid algorithms for Bayesian optical diffusion tomography (2001) (107)
- DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation (2021) (104)
- Acceleration of MR parameter mapping using annihilating filter‐based low rank hankel matrix (ALOHA) (2016) (104)
- Motion estimated and compensated compressed sensing dynamic magnetic resonance imaging: What we can learn from video compression techniques (2010) (101)
- Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity (2011) (99)
- Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning (2017) (99)
- CollaGAN: Collaborative GAN for Missing Image Data Imputation (2019) (96)
- Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements (2011) (93)
- Self-reference quantitative phase microscopy for microfluidic devices. (2010) (87)
- Compressed sensing MRI: a review from signal processing perspective (2019) (87)
- Fluorescent microscopy beyond diffraction limits using speckle illumination and joint support recovery (2013) (81)
- Accelerated cardiac T2 mapping using breath‐hold multiecho fast spin‐echo pulse sequence with k‐t FOCUSS (2011) (78)
- Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation (2015) (74)
- Mumford–Shah Loss Functional for Image Segmentation With Deep Learning (2019) (74)
- CLIPstyler: Image Style Transfer with a Single Text Condition (2021) (74)
- Modified distorted Born iterative method with an approximate Fréchet derivative for optical diffusion tomography (1999) (70)
- Reference‐free single‐pass EPI Nyquist ghost correction using annihilating filter‐based low rank Hankel matrix (ALOHA) (2016) (67)
- Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound (2019) (67)
- Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction (2021) (66)
- Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology (2014) (63)
- DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models (2021) (63)
- Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI (2014) (60)
- Deep Learning Diffuse Optical Tomography (2017) (59)
- Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis (2020) (58)
- Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal (2018) (58)
- CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration (2020) (57)
- Unsupervised Deformable Image Registration Using Cycle-Consistent CNN (2019) (56)
- Belief propagation for joint sparse recovery (2011) (56)
- Score-based diffusion models for accelerated MRI (2021) (53)
- Understanding Geometry of Encoder-Decoder CNNs (2019) (52)
- Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction (2017) (49)
- Improving Diffusion Models for Inverse Problems using Manifold Constraints (2022) (48)
- Quantification of CMRO2 without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements (2010) (47)
- Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction (2017) (46)
- MRI artifact correction using sparse + low‐rank decomposition of annihilating filter‐based hankel matrix (2017) (46)
- A self-referencing level-set method for image reconstruction from sparse Fourier samples (2001) (44)
- Asymptotic global confidence regions in parametric shape estimation problems (2000) (42)
- Lipschitz-Killing curvature based expected Euler characteristics for p-value correction in fNIRS (2012) (41)
- Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN (2020) (41)
- Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems (2019) (41)
- AIM 2020 Challenge on Learned Image Signal Processing Pipeline (2020) (40)
- 3D high-density localization microscopy using hybrid astigmatic/ biplane imaging and sparse image reconstruction. (2014) (40)
- Fully scalable 3D overcomplete wavelet video coding using adaptive motion compensated temporal filtering (2003) (39)
- Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm (2020) (38)
- High-speed terahertz reflection three-dimensional imaging for nondestructive evaluation. (2012) (38)
- Compressed sensing fMRI using gradient-recalled echo and EPI sequences (2014) (38)
- Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis (2016) (37)
- AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising (2021) (37)
- Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention (2021) (37)
- NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results (2020) (36)
- Deep artifact learning for compressed sensing and parallel MRI (2017) (35)
- Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification (2021) (35)
- Compressive MUSIC: A Missing Link Between Compressive Sensing and Array Signal Processing (2010) (34)
- Optical coherence tomography in coronary atherosclerosis assessment and intervention (2022) (34)
- Fully 3D iterative scatter-corrected OSEM for HRRT PET using a GPU (2011) (34)
- CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry (2019) (32)
- Diffusion Posterior Sampling for General Noisy Inverse Problems (2022) (32)
- Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning (2019) (31)
- Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages (2016) (30)
- Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images (2021) (30)
- Performance evaluation of accelerated functional MRI acquisition using compressed sensing (2009) (29)
- Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation (2021) (28)
- Cramer-Rao bounds for parametric shape estimation (2002) (28)
- Improving Noise Robustness in Subspace-Based Joint Sparse Recovery (2011) (27)
- Cramer-Rao bounds for 2-D target shape estimation in nonlinear inverse scattering problems with application to passive radar (2001) (27)
- Nouvelles directions en habitats intelligents pour la santé (2003) (25)
- Joint sparsity-driven non-iterative simultaneous reconstruction of absorption and scattering in diffuse optical tomography. (2013) (25)
- Artificial Intelligence in Health Care: Current Applications and Issues (2020) (25)
- High-speed terahertz reflection three-dimensional imaging using beam steering. (2015) (25)
- Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks (2020) (25)
- Beyond Born-Rytov limit for super-resolution optical diffraction tomography. (2017) (24)
- Sparsity driven metal part reconstruction for artifact removal in dental CT. (2011) (24)
- Wavelet Power Spectrum Estimation for High-resolution Terahertz Time-domain Spectroscopy (2011) (24)
- Deep Learning-based Universal Beamformer for Ultrasound Imaging (2019) (23)
- k‐Space deep learning for reference‐free EPI ghost correction (2018) (23)
- Compressed Sensing Shape Estimation of Star-Shaped Objects in Fourier Imaging (2007) (23)
- Metal artifact reduction in CT by identifying missing data hidden in metals. (2013) (23)
- Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis (2021) (22)
- Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation (2008) (21)
- Diffusion-based Image Translation using Disentangled Style and Content Representation (2022) (21)
- Optimal Transport, CycleGAN, and Penalized LS for Unsupervised Learning in Inverse Problems (2019) (21)
- A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples (2001) (20)
- Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation (2015) (20)
- CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement (2021) (19)
- Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN (2021) (19)
- Dynamic PET reconstruction using temporal patch-based low rank penalty for ROI-based brain kinetic analysis (2015) (19)
- A non-iterative method for the electrical impedance tomography based on joint sparse recovery (2014) (19)
- Reconstruction of Multi-contrast MR Images through Deep Learning. (2019) (19)
- Wavelet-MDL based detrending method for near infrared spectroscopy (NIRS) (2008) (18)
- Deep learning STEM-EDX tomography of nanocrystals (2021) (18)
- Deep Learning Interior Tomography for Region-of-Interest Reconstruction (2017) (17)
- Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography (2017) (17)
- Compressive MUSIC with optimized partial support for joint sparse recovery (2011) (17)
- MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion (2022) (17)
- Fully iterative scatter corrected digital breast tomosynthesis using GPU-based fast Monte Carlo simulation and composition ratio update. (2015) (17)
- Deep Convolutional Framelets: A General Deep Learning for Inverse Problems (2017) (16)
- Deep Learning for Accelerated Ultrasound Imaging (2017) (16)
- One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection (2018) (16)
- Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation (2015) (16)
- Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation (2016) (16)
- A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI (2015) (16)
- Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis (2022) (15)
- Non-iterative exact inverse scattering using simultaneous orthogonal matching pursuit (S-OMP) (2008) (15)
- Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets (2017) (15)
- Diffusion Deformable Model for 4D Temporal Medical Image Generation (2022) (15)
- Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective (2021) (15)
- Compressed sensing metal artifact removal in dental CT (2009) (15)
- Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty (2015) (15)
- Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus (2021) (15)
- Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal (2021) (14)
- Group sparse dictionary learning and inference for resting-state fMRI analysis of Alzheimer'S disease (2013) (14)
- Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution (2020) (14)
- Fast live cell imaging at nanometer scale using annihilating filter-based low-rank Hankel matrix approach (2015) (14)
- Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal (2015) (14)
- Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training (2021) (14)
- Compressed sensing pulse-echo mode terahertz reflectance tomography. (2009) (13)
- PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing (2021) (13)
- Two-Dimensional Elastic Scattering Coefficients and Enhancement of Nearly Elastic Cloaking (2016) (13)
- Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN (2020) (13)
- Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation (2021) (13)
- Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data (2020) (13)
- Computational MRI: Compressive Sensing and Beyond [From the Guest Editors] (2020) (13)
- Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems (2005) (12)
- Dynamic sparse support tracking with multiple measurement vectors using compressive MUSIC (2012) (12)
- Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising (2021) (12)
- Optical Coherence Tomography of Plaque Erosion: JACC Focus Seminar Part 2/3. (2021) (12)
- Whole‐brain perfusion imaging with balanced steady‐state free precession arterial spin labeling (2016) (12)
- Alteration in the Local and Global Functional Connectivity of Resting State Networks in Parkinson’s Disease (2018) (12)
- Coherent optical computing for T-ray imaging. (2010) (12)
- Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks (2022) (12)
- DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models (2021) (11)
- Single channel blind image deconvolution from radially symmetric blur kernels. (2007) (11)
- Universal Deep Beamformer for Variable Rate Ultrasound Imaging (2019) (11)
- Unsupervised CT Metal Artifact Learning Using Attention-Guided β-CycleGAN (2021) (11)
- Ultra-Fast Hybrid CPU–GPU Multiple Scatter Simulation for 3-D PET (2014) (11)
- Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images (2020) (10)
- Computational MRI: Compressive Sensing and Beyond (2020) (10)
- Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation (2022) (10)
- Fast Maximum Likelihood High-Density Low-SNR Super-Resolution Localization Microscopy (2013) (10)
- Pyramidal Denoising Diffusion Probabilistic Models (2022) (10)
- Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach (2016) (9)
- Deep Residual Learning Approach for Sparse-view CT Reconstruction (2017) (9)
- Compressed sensing and Parallel MRI using deep residual learning (2017) (9)
- Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation (2020) (9)
- Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T (2015) (9)
- A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media (2016) (9)
- Diffuse optical tomography using generalized music algorithm (2011) (9)
- Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection (2020) (9)
- Nonlinear multigrid optimization for Bayesian diffusion tomography (1999) (9)
- A Mathematical Framework for Deep Learning in Elastic Source Imaging (2018) (8)
- Universal Plane-Wave Compounding for High Quality US Imaging Using Deep Learning (2019) (8)
- Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound (2021) (8)
- Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN (2019) (8)
- Cycle-consistent adversarial network with polyphase U-Nets for liver lesion segmentation (2018) (8)
- Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction (2020) (8)
- Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer (2019) (8)
- Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner (2018) (8)
- DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning (2020) (8)
- Topological Sensitivity Based Far-Field Detection of Elastic Inclusions (2017) (8)
- Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy (2021) (7)
- Deep Learning Fast MRI Using Channel Attention in Magnitude Domain (2020) (7)
- Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation (2016) (7)
- Deep Learning in RF Sub-sampled B-mode Ultrasound Imaging (2017) (7)
- One-Shot Adaptation of GAN in Just One CLIP (2022) (7)
- Boosting CNN beyond Label in Inverse Problems (2019) (7)
- AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising (2020) (7)
- Federated CycleGAN for Privacy-Preserving Image-to-Image Translation (2021) (7)
- Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis (2020) (7)
- Cryo-electron microscopy single particle reconstruction of virus particles using compressed sensing theory (2007) (7)
- Unsupervised Deep Learning Methods for Biological Image Reconstruction (2021) (7)
- Sampling scheme optimization for diffuse optical tomography based on data and image space rankings (2016) (7)
- Video streaming over wireless LAN with efficient scalable coding and prioritized adaptive transmission (2003) (6)
- Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach. (2020) (6)
- Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal (2019) (6)
- Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning (2021) (6)
- A unified statistical framework for material decomposition using multienergy photon counting x-ray detectors. (2013) (6)
- Statistical parametric mapping of FMRI data using sparse dictionary learning (2010) (6)
- Unified Theory for Recovery of Sparse Signals in a General Transform Domain (2016) (6)
- Importance of the ∇D term in frequency-resolved optical diffusion imaging (1998) (6)
- Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN (2020) (6)
- Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation (2022) (6)
- k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography (2018) (5)
- A Data-Driven fMRI Analysis using K-SVD Sparse Dictionary Learning (2010) (5)
- Rate-distortion optimized data partitioning for video using backward adaptation (2003) (5)
- A deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison. (2021) (5)
- Quantitative susceptibility map reconstruction using annihilating filter‐based low‐rank Hankel matrix approach (2018) (5)
- Resting-state fMRI analysis of Alzheimer's disease progress using sparse dictionary learning (2012) (5)
- Translational motion correction algorithm for truncated cone-beam CT using opposite projections. (2017) (5)
- Globally convergent 3D dynamic PET reconstruction with patch-based non-convex low rank regularization (2013) (5)
- Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation (2022) (5)
- DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model (2021) (5)
- Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain (2021) (5)
- Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching (2021) (4)
- True Temporal Resolution TWIST Imaging using Annihilating Filter-based Low-rank wrap around Hankel Matrix (2017) (4)
- Breast cancer diagnosis from fluorescence spectroscopy using support vector machine (2007) (4)
- DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval (2020) (4)
- Self-supervised Co-learning of Uncurated Images and Reports Enables Oversight AI in Radiology (2022) (4)
- Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning (2019) (4)
- Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy (2018) (4)
- Use of Salvage Surgery or Stereotactic Radiosurgery for Multiply Recurrent Skull Base Chordomas: A Single-Institution Experience and Review of the Literature (2020) (4)
- Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning (2021) (4)
- Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN (2021) (4)
- Unsupervised Deconvolution Neural Network for High Quality Ultrasound Imaging (2020) (4)
- Geometry of Deep Learning (2022) (4)
- Patch based low rank structured matrix completion for accelerated scanning microscopy (2015) (4)
- Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems (2020) (4)
- Unsupervised Learning for Compressed Sensing MRI Using Cyclegan (2020) (4)
- Sparse SPM : Sparse-Dictionary Learning for Resting-state Functional Connectivity MRI Analysis (2015) (4)
- Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN (2020) (4)
- Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix (2016) (4)
- Optimal parameter updating for optical diffusion imaging (1998) (3)
- A Deep Learning Model for Diagnosing Gastric Mucosal Lesions Using Endoscopic Images: Development, Validation, and Method Comparison (2021) (3)
- Sparse topological data recovery in medical images (2011) (3)
- In vivo optical molecular imaging: principles and signal processing issues (2005) (3)
- High resolution dynamic MRI using motion estimated and compensated compressed sensing (2008) (3)
- Low-dose limited view 4D CT reconstruction using patch-based low-rank regularization (2013) (3)
- Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN (2021) (3)
- Deep learning–based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study (2021) (3)
- Adaptive overcomplete wavelet video coding with spatial transcaling (2003) (3)
- A sparse Bayesian learning for highly accelerated dynamic MRI (2010) (3)
- Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models (2022) (3)
- Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive Radiotherapy (2020) (3)
- Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation (2021) (3)
- Switchable Deep Beamformer For Ultrasound Imaging Using Adain (2021) (3)
- Inpainting based metal reduction in dental X-ray computed tomography (2012) (3)
- GENERALIZED K-T BLAST AND K-T SENSE USING FOCUSS (2007) (3)
- Low-Dose Sparse-View HAADF-STEM-EDX Tomography of Nanocrystals Using Unsupervised Deep Learning. (2022) (3)
- Compressive Sampling using Structured Low-Rank Interpolation (2015) (2)
- CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN (2020) (2)
- Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN (2021) (2)
- Self-reference extended depth-of-field quantitative phase microscopy (2010) (2)
- Multiband dynamic compressed sensing (2015) (2)
- Deep Learning for Ultrasound Beamforming (2021) (2)
- Framelet denoising for low-dose CT using deep learning (2018) (2)
- Weighted cost-function reconstruction in optical diffusion imaging (1997) (2)
- Telecentric f-theta Lens for high-speed terahertz reflection three-dimensional imaging (2014) (2)
- Source localization approach for functional DOT using MUSIC and FDR control. (2012) (2)
- OT-driven Multi-Domain Unsupervised Ultrasound Image Artifact Removal using a Single CNN (2020) (2)
- Continuous localization using sparsity constraints for high-density super-resolution microscopy (2013) (2)
- Ultra-fast hybrid CPU-GPU Monte Carlo simulation for scatter correction in 3D PETs (2011) (2)
- Multiscale Interior Tomography Using 1D Generalized Total Variation (2014) (2)
- Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer (2021) (2)
- Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning (2022) (2)
- A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model (2015) (2)
- Parallel proximal algorithm for interior tomography problems in x-ray CT with tiny a priori knowledge (2013) (2)
- Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography (2021) (2)
- Artificial Neural Networks and Backpropagation (2021) (2)
- Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN (2021) (2)
- ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts (2023) (2)
- Fourier descriptors for parametric shape estimation in inverse scattering problems (2000) (2)
- Compressive inverse scattering using ultrashort pulses (2010) (2)
- x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging (2006) (2)
- Energy-Based Contrastive Learning of Visual Representations (2022) (2)
- Unsupervised Learning for Acoustic Shadowing Artifact Removal in Ultrasound Imaging (2021) (2)
- Parallel Diffusion Models of Operator and Image for Blind Inverse Problems (2022) (2)
- Denoising MCMC for Accelerating Diffusion-Based Generative Models (2022) (2)
- Motion estimation/compensated compressed sensing using patch-based low rank penalty (2013) (2)
- Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer (2023) (2)
- Accurate inversion of absorption and scattering in diffuse optical tomography without iterative Green's function update (2014) (1)
- 3-D Microscopy Tomography under Sparsity Constraint (2007) (1)
- Switchable Deep Beamformer (2020) (1)
- Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing (2014) (1)
- Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction (2013) (1)
- T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty (2014) (1)
- Motion residual reconstruction using low rank property of similarity patches in motion compensated compressed sensing dynamic MRI (2013) (1)
- Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation (2016) (1)
- BMC Biomedical Engineering: a home for all biomedical engineering research (2019) (1)
- Terahertz substance imaging by waveform shaping. (2012) (1)
- Exact Dynamic Support Tracking with Multiple Measurement Vectors using Compressive MUSIC (2011) (1)
- Erratum: Correction of Author Name and Affiliation in the Article “Artificial Intelligence in Health Care: Current Applications and Issues” (2020) (1)
- Bayesian optical diffusion imaging (1999) (1)
- Efficient algorithms for Bayesian optical diffusion imaging (1999) (1)
- Improved Time-Resolved MRA Using k-Space Deep Learning (2018) (1)
- Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix (2016) (1)
- Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications (2023) (1)
- Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network (2022) (1)
- Concatenate and Boost for Multiple Measurement Vector Problems (2009) (1)
- High resolution projection reconstruction MR imaging using FOCUSS (2007) (1)
- Multi-view optical tomography using L1 data fidelity and sparsity constraint (2008) (1)
- Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning (2020) (1)
- Compressed sensing pulse-echo mode THz tomography (2009) (1)
- General linear model and inference for near infrared spectroscopy using global confidence region analysis (2008) (1)
- Channel adaptive prioritized transmission of layered video over wireless LAN (2003) (1)
- Automatic Detection and Segmentation of Multiple Brain Metastases on MR Images Using Simultaneous Optimized Double-UNET Architecture (2020) (1)
- Fast Inverse Algorithms for Optical Diffusion Tomography (1999) (1)
- Compressed sensing MRI: a review from signal processing perspective (2019) (1)
- Sparse dictionary learning for resting-state fMRI analysis (2011) (1)
- Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals (2018) (1)
- Nonlinear Multigrid Optimization for Soft Tissue Imaging Using a Bayesian Optical Diffusion Approach (1999) (1)
- High-resolution terahertz time-domain spectroscopy using a wavelet power spectrum estimation technique (2009) (1)
- Subspace penalized sparse learning for joint sparse recovery (2013) (1)
- Quantification of CMRO2 and CBF using simultaneous NIRS and fMRI (2009) (1)
- Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging (2020) (1)
- Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization (2022) (1)
- Fast implementation of fully iterative scatter corrected OSEM for HRRT using GPU (2010) (1)
- Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal (2020) (1)
- MMSE optimal non-local motion compensated k-t FOCUSS for compressed sensing cardiac cine imaging (2012) (1)
- Linear and Kernel Classifiers (2021) (1)
- Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach (2016) (1)
- Compressed sensing reconstruction of statistical parameter map for functional diffuse optical tomography (2012) (1)
- Importance of the (nabla) D term in frequency-resolved optical diffusion imaging. (1998) (1)
- TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm (2014) (1)
- Molecular Structure-Property Co-Trained Foundation Model for In Silico Chemistry (2022) (1)
- Task-Agnostic Vision Transformer for Distributed Learning of Image Processing (2022) (1)
- Deep Learning in Biological Image and Signal Processing [From the Guest Editors] (2022) (1)
- Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model (2023) (1)
- Generalization Capability of Deep Learning (2022) (1)
- Minimizing Trajectory Curvature of ODE-based Generative Models (2023) (1)
- CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation (2021) (1)
- Enhanced Diagnosis of Plaque Erosion by Deep Learning in Patients With Acute Coronary Syndromes. (2022) (1)
- Unsupervised Deep Learning For Accelerated High Quality Echocardiography (2021) (1)
- Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data (2023) (1)
- Multi-scale Hybrid Vision Transformer for Learning Gastric Cancer Histology (2022) (1)
- Accelerated Projection Reconstruction MR imaging using Deep Residual Learning (2017) (1)
- Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models (2023) (1)
- MR artifacts removal using sparse + low rank decomposition of annihilating filter based Hankel matrix (2016) (0)
- Improved Temporal Resolution TWIST Reconstruction using Annihilating Filter-based Low-rank Hankel Matrix (2016) (0)
- 7805 Accelerated In Vivo 3 D Pseudo-Continuous ASL with Balanced Steady State Free Precession using kt FOCUSS (2013) (0)
- Ab initio maximum likelihood reconstruction of helical macromolecules using electron microscopy (2009) (0)
- 1 Compressed sensing fMRI using gradient-recalled echo and (2014) (0)
- Kidney and Kidney Tumor Segmentation Using Two- stage Convolutional Neural Network (2019) (0)
- Compressed Sensing of Low-Rank Matrices: A Brief Survey on Efficient Algorithms (2009) (0)
- Medical ultrasound image speckle reduction and resolution enhancement using texture compensated multi-resolution convolution neural network (2022) (0)
- Quantitative Analysis of Subcortical Vascular Cognitive Impairment using Simultaneous NIRS and fMRI (2010) (0)
- A statistical framework for material decomposition using multi-energy photon counting x-ray detector (2012) (0)
- Multi-scale Circular Conebeam Interior Tomography using Bedrosian Identity : Verification with Real Data (2016) (0)
- An Integrative Analysis Program for Two-dimensional Gel Electrophoresis (2006) (0)
- Artifact removal from vascular origin in fMRI analysis using simultaneous fMRI and NIRS measurement (2011) (0)
- Generative Models and Unsupervised Learning (2022) (0)
- High Resolution Time Resolved Contrast Enhanced MR Angiography Using kt FOCUSS (2010) (0)
- Diagnosis of coronary layered plaque by deep learning (2022) (0)
- Ultra-fast Semi-analytic Iterative Reconstruction Framework for 3D Low-Dose CT (2015) (0)
- Inverse problem in dental CT with metallic objects (2012) (0)
- High-speed broadband frequency sweep of CW THz radiation (2013) (0)
- IEEE Journal of Selected Topics in Signal Processing Special Issue on Domain Enriched Learning for Medical Imaging (2019) (0)
- Learning-based low-rank Hankel structured matrix approach (Conference Presentation) (2017) (0)
- Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models (2023) (0)
- Annihilating Filter-based Low Rank Hankel Matrix Approach for Biomedical Imaging and Image Processing (2016) (0)
- Branchement adaptatif de paquets de transmissions hierarchisées (2003) (0)
- Reconstruction of Quantitative Susceptibility Maps using Annihilating Filter-Based Low-Rank Hankel Matrix Approach (2018) (0)
- Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (2019) (0)
- MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling (2023) (0)
- Performance Analysis of Fractional Learning Algorithms (2021) (0)
- Breast cancer diagnosis from fluorescence spectroscopy using artificial neural network (2006) (0)
- High Resolution Time Resolved Contrast Enhanced MR Angiography Using k-t FOCUSS (2010) (0)
- Toward Statistical Parametric Mapping for Near Infrared Optical Spectroscopy(SPM-NIRS) (2007) (0)
- GPU Implementation of Exact FBP and BPF Algorithms for Saddle and Circle-plus-line CT (2012) (0)
- Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation (2022) (0)
- Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks (2020) (0)
- Topological Analysis of EEG Connectivity Patterns of Depressed Patients using Persistence Landscape (2014) (0)
- L0-compressed sensing for parallel dynamic MRI using sparse Bayesian learning (2011) (0)
- Normalization and Attention (2022) (0)
- Radon Domain CTF Correction for Cryo-Electron Microscopy (2006) (0)
- Elastic Scattering Ceofficients (2016) (0)
- Biological Neural Networks (2021) (0)
- Support Vectors and Gradient Dynamics of Single-Neuron ReLU Networks (2022) (0)
- A data-driven spatially adaptive sparse generalized linear model for functional MRI analysis (2011) (0)
- Projection Reconstruction MR Imaging in k-t Domain using FOCUSS (2006) (0)
- Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization (2022) (0)
- Multiple Measurement Vector Problem with Subspace-based Algorithm (2010) (0)
- Comparative study of projection/back-projection schemes in cryo-EM tomography (2006) (0)
- Accelerated In Vivo 3D Pseudo-Continuous ASL with Balanced Steady State Free Precession using k-t FOCUSS (2014) (0)
- Biomedical imaging beyond diffraction and Born limits: the role of joint sparsity (2014) (0)
- Radial k-t FOCUSS using motion estimation and compensation (2008) (0)
- Joint sparsity recovery method for the EIT problem to reconstruct anomalies (2015) (0)
- Coherent optical computing for terahertz imaging (2010) (0)
- Support Vectors and Gradient Dynamics for Implicit Bias in ReLU Networks (2022) (0)
- Mitigating Out-of-Distribution Data Density Overestimation in Energy-Based Models (2022) (0)
- BOOSTING ENCODER-DECODER CNN FOR INVERSE PROBLEMS (2019) (0)
- Compressed Sensing Based Dynamic MR Imaging: A Short Survey (2009) (0)
- Mathematical Foundations of AIM (2021) (0)
- Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition (2023) (0)
- A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies (2022) (0)
- Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning (2013) (0)
- COMPRESSED SENSING FOR BIO-IMAGING APPLICATIONS(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009)) (2009) (0)
- Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors] (2023) (0)
- Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor] (2023) (0)
- Effect of the “∇D” Term in Optical Diffusion Imaging (1998) (0)
- Single channel 2-D and 3-D blind image deconvolution for circularly symmetric fir blurs (2009) (0)
- Multi-Modal Foundation Model for Simultaneous Comprehension of Molecular Structure and Properties (2023) (0)
- Deep Learning Optimization (2022) (0)
- Resolution improvement of 3 D DCE-MRI using dynamic CS with patch-based non-convex low ran k penalty (2013) (0)
- Patch-based low rank and sparscity penalty for biomedical imaging (2014) (0)
- 1 Deep learning for ultrasound beamforming (2021) (0)
- Compressed sensing for neuroimaging (2014) (0)
- Abstract 10310: Deep Learning for a Diagnosis of Plaque Erosion in Patients with Acute Coronary Syndromes (2021) (0)
- Coherent source imaging and dynamic support tracking for inverse scattering using compressive MUSIC (2011) (0)
- Functional Connectivity of the Default Mode Network in Parkinson’s Disease with Cognitive Impairment (2014) (0)
- Non-invasive measurement of brain activity using near-infrared spectroscopy (2007) (0)
- Efficient debiasing with contrastive weight pruning (2022) (0)
- Unsupervised Deformable Image Registration Using Polyphase UNet for 3D Brain MRI Volumes (2020) (0)
- Simultaneous measurement of brain activity using near-infrared optical spectroscopy (NIRS) and fMRI. (2006) (0)
- Efficient Distributed Vision Transformer Foundation Model for Medical Imaging through Random Masked Sampling (2023) (0)
- Reproducing Kernel Hilbert Space, Representer Theorem (2021) (0)
- 3D macromolecule structure reconstruction from electron micrograph by exploiting symmetry and sparsity (2008) (0)
- Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model (2022) (0)
- Self-supervised debiasing using low rank regularization (2022) (0)
- A weighted distorted Born iterative method for optical diffusion imaging (1997) (0)
- Nonlinear multigrid optimization for image reconstruction (2000) (0)
- Cramér-Rao Bounds for Parametric Estimation of Target Boundaries in Nonlinear Inverse Scattering Problems (2007) (0)
- Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising (2022) (0)
- Wavelet-based estimation of a bias and generalized linear model for near-infrared spectroscopy (2007) (0)
- Convolutional Neural Networks (2021) (0)
- Vision-Language Pretraining Enables Radiographs and Reports to be Learned without Curation (2022) (0)
- Sensitivity Analysis for Activation Detection in fNIRS Using P-value Corrected t- and F- statistics (2011) (0)
- Polarization-based optical sectioning of multilayer cell patterns (2006) (0)
- Region adaptive motion compensated dynamic CS for cardiac perfusion imaging (2013) (0)
- Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology (2022) (0)
- BMC Biomedical Engineering: a home for all biomedical engineering research (2019) (0)
- Machine Learning for Medical Image Reconstruction: Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (2020) (0)
- Noise Robust Joint Sparse Recovery using Compressive Subspace Fitting (2011) (0)
- Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction (2023) (0)
- Wavelet subband discriminator for efficient unsupervised chest X-ray image restoration. (2022) (0)
- Mathematical Preliminaries (2021) (0)
- Magnitude and Angle Dynamics in Training Single ReLU Neurons (2022) (0)
- Optical diffusion imaging using nonlinear multigrid optimization (2000) (0)
- Single channel exact blind image deconvolution from radially symmmetric fir blur (2007) (0)
- Single-round Self-supervised Distributed Learning using Vision Transformer (2023) (0)
- Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning (2021) (0)
- Residual reordering for motion compensated compressed sensing cardiac perfusion MR imaging (2012) (0)
- Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation (2012) (0)
- Procede et appareil de detection et d'elimination des rayures et des poussieres sur une image scannee (2002) (0)
- Two-Dimensional Elastic Scattering Coefficients and Enhancement of Nearly Elastic Cloaking (2017) (0)
- Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution (2020) (0)
- ECG-gated cardiac CT reconstruction using patch based low rank regularization (2014) (0)
- Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion (2023) (0)
- 5221 In Vivo Compressed Sensing fMRI using Conventional Gradient-recalled Echo and EPI Sequences (2013) (0)
- Linear, Logistic, and Kernel Regression (2021) (0)
- Geometry of Deep Neural Networks (2022) (0)
- 6811 Accelerated T 2 Prime Mapping using Dynamic Compressed Sensing with Patch-based Low-Rank Penalty (2013) (0)
- Multigrid Bayesian methods for optical diffusion tomography (2000) (0)
- Compressed sensing fMRI using optimized temporal basis (2010) (0)
- Unified parameter estimation algorithm for diffusion imaging using the optical search (1998) (0)
- A hybrid 2-stage vision transformer for artificial intelligence-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies: a diagnostic tool for guiding gastric cancer treatment (2022) (0)
- Don't Play Favorites: Minority Guidance for Diffusion Models (2023) (0)
- Family-wise error rate control for group analysis in statistical parameter mapping for NIRS (2010) (0)
- Dynamic Simultaneous T1 and T2* weighted 3D Dual-Echo Imaging with Compressed Sensing: Potential Advancement to Simultaneous DCE and DSC Imaging (2013) (0)
- Graph Neural Networks (2021) (0)
- Improving resolution of fluorescent microscopy using speckle illumination and joint sparse recovery (2013) (0)
- Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study. (2022) (0)
- MMSE optimal non-local motion compensation for compressed sensing cardiac cine imaging using kt FOCUSS (2011) (0)
- Compressive subspace fitting for multiple measurement vectors (2012) (0)
- Subwavelength silicon honeycomb structure for tailored index in terahertz broadband region (2012) (0)
- Accelerated In Vivo 3D Chemical Exchange Saturation Transfer (CEST) Imaging using dynamic Compressed Sensing (2014) (0)
- Optimizing k-t BLAST/SENSE using FOCUSS and RIGR (2008) (0)
- Fast 3D bSSFP Pseudo-Continuous Arterial Spin Labeling (pCASL) Imaging of the Human Brain (2014) (0)
- Noise Variance Analysis of an Optimal Spatio-Temporal Encoding Scheme for Dynamic MRI using Phase Array Coils (2007) (0)
- Low-rank Fourier interpolation for compressed sensing imaging (2016) (0)
- Estimation and reconstruction for the optical diffusion nonlinear inverse problem (1999) (0)
- TOPOLOGICAL DATA RECOVERY UNDER COMPRESSED SENSING (2010) (0)
- Nonlinear Multigrid Optical Diffusion Tomography (2000) (0)
- Joint sparse recovery in inverse scattering (2015) (0)
- Modified k-t BLAST without training data set using FOCUSS (2006) (0)
- Global confidence regions in parametric shape estimation (2000) (0)
- Codage video par ondelettes 3d completees entierement echelonnable utilisant un filtrage temporel a compensation de mouvement adaptatif (2003) (0)
- Compressed Sensing of FRI Signals using Annihilating Filter-based Low-rank Interpolation (2016) (0)
- Material for “ Understanding Geometry of Encoder-Decoder CNNs ” ( Proof included ) (2019) (0)
- Single channel exact 3-D blind image deconvolution from cylindrically symmetric blur kernel (2009) (0)
This paper list is powered by the following services:
What Schools Are Affiliated With Jong Chul Ye?
Jong Chul Ye is affiliated with the following schools:
