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papers

Publications (75)

cs.CV2024

POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation

Bo Zhou, Jun Hou, Tianqi Chen +10

eess.IV2023

Preserved Edge Convolutional Neural Network for Sensitivity Enhancement of Deuterium Metabolic Imaging (DMI)

Siyuan Dong, Henk M. De Feyter, Monique A. Thomas +2

eess.IV2023

Fast-MC-PET: A Novel Deep Learning-aided Motion Correction and Reconstruction Framework for Accelerated PET

Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang +7

cs.CV2022

Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Chenyu You, Ruihan Zhao, Lawrence Staib +1

eess.IV2019

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Junlin Yang, Nicha C. Dvornek, Fan Zhang +3

q-bio.QM2023

Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder

Nicha C. Dvornek, Catherine Sullivan, James S. Duncan +1

cs.LG2025

STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC

Jiyao Wang, Nicha C. Dvornek, Peiyu Duan +3

cs.CV2024

Medical Image Registration via Neural Fields

Shanlin Sun, Kun Han, Chenyu You +8

cs.CV2024

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations

Chenyu You, Yifei Min, Weicheng Dai +3

eess.IV2019

Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI

Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang +1

q-bio.NC2024

Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder

Peiyu Duan, Nicha C. Dvornek, Jiyao Wang +4

cs.CV2019

Invertible Network for Classification and Biomarker Selection for ASD

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li +2

cs.CV2025

Progressive Test Time Energy Adaptation for Medical Image Segmentation

Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park +5

eess.IV2024

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn +6

cs.LG2021

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity

Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang +2

cs.CV2018

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI

Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang +2

cs.CV2026

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma

Junlin Yang, Tian Yu, Nicha C. Dvornek +6

cs.CV2022

Class-Aware Adversarial Transformers for Medical Image Segmentation

Chenyu You, Ruihan Zhao, Fenglin Liu +5

cs.CV2020

Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation

Chenyu You, Junlin Yang, Julius Chapiro +1

cs.CV2022

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

Chenyu You, Jinlin Xiang, Kun Su +5

cs.CE2024

AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis

Caglar Ozturk, Daniel H. Pak, Luca Rosalia +6

eess.IV2023

Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT

Bo Zhou, Yingda Xia, Jiawen Yao +5

eess.IV2020

Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency

Bo Zhou, S. Kevin Zhou, James S. Duncan +1

cs.LG2026

Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning

Jiyao Wang, Peiyu Duan, Nicha C. Dvornek +4

eess.IV2023

Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation

Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib +1

cs.CV2026

PPDM: Pixel Puzzling Diffusion Model for Speed and Memory Efficient Volumetric Medical Image Translation

Tianqi Chen, Jun Hou, Yinchi Zhou +3

eess.IV2024

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation

Yinchi Zhou, Tianqi Chen, Jun Hou +7

eess.IV2024

A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging

Siyuan Dong, Zhuotong Cai, Gilbert Hangel +12

cs.CV2026

AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification

Peiyu Duan, Xueqi Guo, Sepehr Farhand +5

cs.CV2026

MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

Xinran Li, Junlin Yang, Annabella Shewarega +4

cs.CV2025

Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets

Nicholas Konz, Richard Osuala, Preeti Verma +16

cs.LG2021

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

Juntang Zhuang, Yifan Ding, Tommy Tang +3

cs.CV2021

Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth

Bo Zhou, Chi Liu, James S. Duncan

cs.CV2026

Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registration

Che Liu, Yinda Chen, Haoyuan Shi +21

eess.IV2021

Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

Bo Zhou, Rui Wang, Ming-Kai Chen +6

cs.CV2025

ETA: Energy-based Test-time Adaptation for Depth Completion

Younjoon Chung, Hyoungseob Park, Patrick Rim +7

eess.IV2019

Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation

Junlin Yang, Nicha C. Dvornek, Fan Zhang +4

cs.LG2020

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results

Xiaoxiao Li, Yufeng Gu, Nicha Dvornek +3

cs.CV2025

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation

Xiaoran Zhang, Eric Z. Chen, Lin Zhao +6

cs.CE2024

Robust automated calcification meshing for biomechanical cardiac digital twins

Daniel H. Pak, Minliang Liu, Theodore Kim +5

q-bio.NC2019

Prediction of treatment outcome for autism from structure of the brain based on sure independence screening

Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao +3

eess.IV2019

Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making

Junlin Yang, Nicha C. Dvornek, Fan Zhang +4

eess.IV2026

Assessment of Clonal Hematopoiesis of Indeterminate Potential and Future Cardiomyopathy from Cardiac Magnetic Resonance Imaging using Deep Learning in a Cardio-oncology Population

Jiarui Xing, Sangeon Ryu, Shawn Ahn +7

eess.IV2023

Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction

Bo Zhou, Jo Schlemper, Neel Dey +5

eess.IV2024

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels

Chenyu You, Weicheng Dai, Fenglin Liu +6

cs.CV2018

Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation

Allen Lu, Nripesh Parajuli, Maria Zontak +10

eess.IV2024

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration

Xiaoran Zhang, John C. Stendahl, Lawrence Staib +3

eess.IV2024

Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT

Xiongchao Chen, Bo Zhou, Xueqi Guo +5

eess.IV2025

Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing

Daniel H. Pak, Shubh Thaker, Kyle Baylous +3

cs.LG2025

Uncovering Memorization Effect in the Presence of Spurious Correlations

Chenyu You, Haocheng Dai, Yifei Min +3

cs.CV2023

ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast

Chenyu You, Weicheng Dai, Yifei Min +3

cs.CV2019

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery

Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou +3

stat.AP2018

Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging

Nicha C. Dvornek, Daniel Yang, Archana Venkataraman +4

eess.IV2023

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising

Bo Zhou, Huidong Xie, Qiong Liu +10

eess.IV2023

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee

Peiyu Duan, Yuan Xue, Shuo Han +8

cs.LG2026

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis

Peiyu Duan, Jiyao Wang, Nicha C. Dvornek +4

cs.CV2022

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

Chenyu You, Yuan Zhou, Ruihan Zhao +2

cs.CV2025

PET Head Motion Estimation Using Supervised Deep Learning with Attention

Zhuotong Cai, Tianyi Zeng, Jiazhen Zhang +8

eess.IV2022

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

Bo Zhou, Neel Dey, Jo Schlemper +4

cs.CV2021

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos +6

eess.IV2025

Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification

Peiyu Duan, Nicha C. Dvornek, Jiyao Wang +2

cs.LG2019

Graph Neural Network for Interpreting Task-fMRI Biomarkers

Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou +3

cs.LG2021

MALI: A memory efficient and reverse accurate integrator for Neural ODEs

Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda +1

cs.CV2023

Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation

Chenyu You, Weicheng Dai, Yifei Min +2

eess.IV2022

Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging

Siyuan Dong, Gilbert Hangel, Eric Z. Chen +7

cs.CV2024

2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction

Tianqi Chen, Jun Hou, Yinchi Zhou +8

q-bio.NC2018

Prediction of severity and treatment outcome for ASD from fMRI

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li +2

cs.CV2023

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

Chenyu You, Weicheng Dai, Yifei Min +2

cs.LG2020

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Juntang Zhuang, Tommy Tang, Yifan Ding +4

cs.CV2025

Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation

Anne-Marie Rickmann, Stephanie L. Thorn, Shawn S. Ahn +9

cs.LG2019

Decision Explanation and Feature Importance for Invertible Networks

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li +2

q-bio.QM2021

Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs

Nicha C. Dvornek, Pamela Ventola, James S. Duncan

eess.IV2021

Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration

Bo Zhou, Zachary Augenfeld, Julius Chapiro +3

eess.IV2025

Towards Zero-Shot Task-Generalizable Learning on fMRI

Jiyao Wang, Nicha C. Dvornek, Peiyu Duan +2

cs.CV2018

Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis

Nripesh Parajuli, Allen Lu, Kevinminh Ta +9