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)

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)

Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. - Kurt G. Schilling; Chantal M. W. Tax; Francois Rheault; Colin B. Hansen; Qi Yang 004; Fang-Cheng Yeh; Leon Y. Cai; Adam W. Anderson; Bennett A. Landman (NeuroImage, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)