Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Quinn Stanton Wells; Ashley Spann; James G. Terry; John Jeffrey Carr; Yuankai Huo; Shunxing Bao; Bennett A. Landman (ML-CDS/CLIP@MICCAI, 2020)

Semi-supervised multi-organ segmentation through quality assurance supervision. - Ho Hin Lee; Yucheng Tang; Olivia Tang; Yuchen Xu 001; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Contrast phase classification with a generative adversarial network. - Yucheng Tang; Ho Hin Lee; Yuchen Xu 001; Olivia Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Yuankai Huo; et al. (Image Processing, 2020)

Validation and optimization of multi-organ segmentation on clinical imaging archives. - Olivia Tang; Yuchen Xu 001; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Outlier guided optimization of abdominal segmentation. - Yuchen Xu 001; Olivia Tang; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Sophie Chiron; Ilwoo Lyu; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (COMPAY@MICCAI, 2021)

Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (ISBI, 2021)

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Ho Hin Lee; Steve Deppen; Kim L. Sandler; Pierre P. Massion; Thomas A. Lasko; Yuankai Huo; Bennett A. Landman (MICCAI (5), 2021)

Pancreas CT Segmentation by Predictive Phenotyping. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Qi Yang 004; Xin Yu 010; Yuyin Zhou; Shunxing Bao; Yuankai Huo; Jeffrey M. Spraggins; Jack Virostko; Zhoubing Xu; Bennett A. Landman (MICCAI (1), 2021)

Construction of a multi-phase contrast computed tomography kidney atlas. - Ho Hin Lee; Yucheng Tang; Kaiwen Xu; Shunxing Bao; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Mattias P. Heinrich; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (Image Processing, 2021)

Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Zhoubing Xu; Brent V. Savoie; Shunxing Bao; Yuankai Huo; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Jeffrey M. Spraggins; Bennett A. Landman (Image Processing, 2021)

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. - Ho Hin Lee; Yucheng Tang; Qi Yang 004; Xin Yu 010; Shunxing Bao; Bennett A. Landman; Yuankai Huo (CoRR, 2021)

High-resolution 3D abdominal segmentation with random patch network fusion. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Shunxing Bao; Ilwoo Lyu; et al. (Medical Image Anal., 2021)

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Jia Li 027; Can Cui 006; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Ho Hin Lee; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; Lori A. Coburn; Keith T. Wilson; et al. (MOVI@MICCAI, 2022)

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. - Han Liu; Yubo Fan; Hao Li; Jiacheng Wang 007; Dewei Hu; Can Cui; Ho Hin Lee; Huahong Zhang; Ipek Oguz (MICCAI (5), 2022)

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (MICCAI (8), 2022)

Inpainting missing tissue in multiplexed immunofluorescence imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Qi Yang 004; Xin Yu 002; Sophie Chiron; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (Digital and Computational Pathology, 2022)

Accelerating 2D abdominal organ segmentation with active learning. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Shunxing Bao; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2022)

Quantification of muscle, bones, and fat on single slice thigh CT. - Qi Yang 004; Xin Yu 010; Ho Hin Lee; Yucheng Tang; Shunxing Bao; Kristofer S. Gravenstein; Ann Zenobia Moore; Sokratis Makrogiannis; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2022)

Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Yan Xu; Qi Yang 004; Xin Yu 010; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Jeffrey M. Spraggins; Mattias P. Heinrich; Yuankai Huo; et al. (Image Processing, 2022)

Multi-contrast computed tomography healthy kidney atlas. - Ho Hin Lee; Yucheng Tang; Kaiwen Xu; Shunxing Bao; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Mattias P. Heinrich; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (Comput. Biol. Medicine, 2022)

Characterizing Renal Structures with 3D Block Aggregate Transformers. - Xin Yu 010; Yucheng Tang; Yinchi Zhou; Riqiang Gao; Qi Yang 004; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Yuankai Huo; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; et al. (CoRR, 2022)

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. - Han Liu; Yubo Fan; Hao Li; Jiacheng Wang 007; Dewei Hu; Can Cui; Ho Hin Lee; Ipek Oguz (CoRR, 2022)

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. - Ho Hin Lee; Yucheng Tang; Riqiang Gao; Qi Yang 004; Xin Yu 010; Shunxing Bao; James G. Terry; John Jeffrey Carr; Yuankai Huo; Bennett A. Landman (CoRR, 2022)

Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation. - Ho Hin Lee; Yucheng Tang; Han Liu; Yubo Fan; Leon Y. Cai; Qi Yang 004; Xin Yu 010; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2022)

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. - Qi Yang 004; Xin Yu 010; Ho Hin Lee; Leon Y. Cai; Kaiwen Xu; Shunxing Bao; Yuankai Huo; Ann Zenobia Moore; Sokratis Makrogiannis; Luigi Ferrucci; Bennett A. Landman (CoRR, 2022)

Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. - Praitayini Kanakaraj; Karthik Ramadass; Shunxing Bao; Melissa A. Basford; Laura M. Jones; Ho Hin Lee; Kaiwen Xu; Kurt G. Schilling; John Jeffrey Carr; James G. Terry; Yuankai Huo; Kim L. Sandler; et al. (J. Digit. Imaging, 2022)

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. - Ho Hin Lee; Shunxing Bao; Yuankai Huo; Bennett A. Landman (ICLR, 2023)

Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. - Ho Hin Lee; Quan Liu 002; Shunxing Bao; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Thomas Z. Li; Yuankai Huo; Xenofon D. Koutsoukos; Bennett A. Landman (MICCAI (4), 2023)

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. - Thomas Z. Li; John M. Still; Kaiwen Xu; Ho Hin Lee; Leon Y. Cai; Aravind R. Krishnan; Riqiang Gao; Mirza S. Khan; Sanja Antic; Michael N. Kammer; Kim L. Sandler; Fabien Maldonado; et al. (MICCAI (2), 2023)

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. - Shunxing Bao; Ho Hin Lee; Qi Yang 004; Lucas Walker Remedios; Ruining Deng; Can Cui 006; Leon Yichen Cai; Kaiwen Xu; Xin Yu 010; Sophie Chiron; Yike Li; Nathan Heath Patterson; et al. (MIDL, 2023)

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. - Leon Yichen Cai; Ho Hin Lee; Nancy Rose Newlin; Cailey Irene Kerley; Praitayini Kanakaraj; Qi Yang 004; Graham Walter Johnson; Daniel Moyer; Kurt Gregory Schilling; Francois Rheault; Bennett A. Landman (MIDL, 2023)

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. - Shunxing Bao; Can Cui 006; Jia Li 027; Yucheng Tang; Ho Hin Lee; Ruining Deng; Lucas W. Remedios; Xin Yu 010; Qi Yang 004; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; et al. (Digital and Computational Pathology, 2023)

Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Riqiang Gao; Shunxing Bao; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2023)

Unsupervised registration refinement for generating unbiased eye atlas. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Qi Yang 004; Xin Yu 010; Kevin L. Schey; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (Image Processing, 2023)

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query. - Ho Hin Lee; Alberto Santamaría-Pang; Jameson Merkow; Ozan Oktay; Fernando Pérez-García; Javier Alvarez-Valle; Ivan Tarapov (CoRR, 2023)

Multi-Contrast Computed Tomography Atlas of Healthy Pancreas. - Yinchi Zhou; Ho Hin Lee; Yucheng Tang; Xin Yu 010; Qi Yang 004; Shunxing Bao; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Digital Modeling on Large Kernel Metamaterial Neural Network. - Quan Liu 002; Hanyu Zheng; Brandon T. Swartz; Ho Hin Lee; Zuhayr Asad; Ivan I. Kravchenko; Jason G. Valentine; Yuankai Huo (CoRR, 2023)

Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (CoRR, 2023)

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. - Aravind R. Krishnan; Kaiwen Xu; Thomas Z. Li; Chenyu Gao; Lucas W. Remedios; Praitayini Kanakaraj; Ho Hin Lee; Shunxing Bao; Kim L. Sandler; Fabien Maldonado; Ivana Isgum; Bennett A. Landman (CoRR, 2023)

DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. - Ho Hin Lee; Quan Liu 002; Qi Yang 004; Xin Yu 010; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Predicting Age from White Matter Diffusivity with Residual Learning. - Chenyu Gao; Michael E. Kim; Ho Hin Lee; Qi Yang 004; Nazirah Mohd Khairi; Praitayini Kanakaraj; Nancy R. Newlin; Derek B. Archer; Angela L. Jefferson; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2023)

3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology. - Asma Ben Abacha; Alberto Santamaría-Pang; Ho Hin Lee; Jameson Merkow; Qin Cai; Surya Teja Devarakonda; Abdullah Islam; Julia Gong; Matthew P. Lungren; Thomas Lin; Noel C. F. Codella; Ivan Tarapov (CoRR, 2023)

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. - Ho Hin Lee; Yucheng Tang; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Yuankai Huo (IEEE J. Biomed. Health Informatics, 2023)

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. - Xin Yu 010; Qi Yang 004; Yinchi Zhou; Leon Y. Cai; Riqiang Gao; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; Zizhao Zhang; et al. (Medical Image Anal., 2023)

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. - Shunxing Bao; Junlin Guo; Ho Hin Lee; Ruining Deng; Can Cui 006; Lucas W. Remedios; Quan Liu 002; Qi Yang 004; Kaiwen Xu; Xin Yu 010; Jia Li 027; Yike Li; et al. (ISBI, 2024)

Examining the roles of social media information exposure and seeking on COVID-19 vaccination through the S-O-R model: A two-wave panel in Hong Kong. - Haiyun Ma; Edmund W. J. Lee; Luyao Xie; Ho Hin Lee; Kam Hei Hui; Phoenix K. H. Mo; Meiqi Xin (Comput. Hum. Behav., 2024)

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. - Ho Hin Lee; Adam M. Saunders; Michael E. Kim; Samuel W. Remedios; Yucheng Tang; Qi Yang 004; Xin Yu 010; Shunxing Bao; Chloe Cho; Louise A. Mawn; Tonia S. Rex; Kevin L. Schey; et al. (CoRR, 2024)

Nucleus subtype classification using inter-modality learning. - Lucas W. Remedios; Shunxing Bao; Samuel W. Remedios; Ho Hin Lee; Leon Y. Cai; Thomas Z. Li; Ruining Deng; Can Cui 006; Jia Li 027; Qi Liu 024; Ken S. Lau; Joseph T. Roland; et al. (CoRR, 2024)

Foundation Models for Biomedical Image Segmentation: A Survey. - Ho Hin Lee; Yu Gu 017; Theodore Zhao; Yanbo Xu; Jianwei Yang; Naoto Usuyama; Cliff Wong; Mu Wei; Bennett A. Landman; Yuankai Huo; Alberto Santamaría-Pang; Hoifung Poon (CoRR, 2024)

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. - Theodore Zhao; Yu Gu 017; Jianwei Yang; Naoto Usuyama; Ho Hin Lee; Tristan Naumann; Jianfeng Gao 001; Angela Crabtree; Jacob Abel; Christine Moung; Brian Piening; Carlo Bifulco; et al. (CoRR, 2024)

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation. - Xin Yu 010; Qi Yang 004; Han Liu; Ho Hin Lee; Yucheng Tang; Lucas W. Remedios; Michael E. Kim; Shunxing Bao; Ann Xenobia Moore; Luigi Ferrucci; Bennett A. Landman (CoRR, 2024)

Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. - Lucas W. Remedios; Shunxing Bao; Samuel W. Remedios; Ho Hin Lee; Leon Y. Cai; Thomas Z. Li; Ruining Deng; Nancy R. Newlin; Adam M. Saunders; Can Cui 006; Jia Li 027; Qi Liu 024; et al. (CoRR, 2024)

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. - Noel C. F. Codella; Ying Jin; Shrey Jain; Yu Gu; Ho Hin Lee; Asma Ben Abacha; Alberto Santamaría-Pang; Will Guyman; Naiteek Sangani; Sheng Zhang; Hoifung Poon; Stephanie L. Hyland; et al. (CoRR, 2024)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang 004; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. - Praitayini Kanakaraj; Tianyuan Yao; Leon Y. Cai; Ho Hin Lee; Nancy R. Newlin; Michael E. Kim; Chenyu Gao; Kimberly R. Pechman; Derek B. Archer; Timothy J. Hohman; Angela L. Jefferson; Lori L. Beason-Held; et al. (Neuroinformatics, 2024)

Boltzmann Attention Sampling for Image Analysis with Small Objects. - Theodore Zhao; Sid Kiblawi; Naoto Usuyama; Ho Hin Lee; Sam Preston; Hoifung Poon; Mu Wei (CVPR, 2025)

Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations. - Ho Hin Lee; Alberto Santamaría-Pang; Jameson Merkov; Matthew P. Lungren; Ivan Tarapov (CoRR, 2025)

WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation. - Md Mahfuz Al Hasan; Mahdi Zaman; Abdul Jawad; Alberto Santamaría-Pang; Ho Hin Lee; Ivan Tarapov; Kyle See; Md Shah Imran; Antika Roy; Yaser Pourmohammadi Fallah; Navid Asadizanjani; Reza Forghani (CoRR, 2025)

Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging. - Ho Hin Lee; Quan Liu 002; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2025)