False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. - Xin Yu 010; Bin Lou; Bibo Shi; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen; et al. (ISBI, 2020)

Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans. - Xin Yu 010; Bin Lou; Donghao Zhang; David J. Winkel; Nacim Arrahmane; Mamadou Diallo; Tongbai Meng; Heinrich von Busch; Robert Grimm 002; Berthold Kiefer; Dorin Comaniciu; Ali Kamen (MICCAI (4), 2020)

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)

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)

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)

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)

Deep whole brain segmentation of 7T structural MRI. - Karthik Ramadass; Xin Yu 010; Leon Y. Cai; Yucheng Tang; Shunxing Bao; Cailey I. Kerley; Micah D'Archangel; Laura A. Barquero; Allen T. Newton; Isabel Gauthier; Rankin W. McGugin; Benoit M. Dawant; et al. (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)

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)

Efficient 3D Representation Learning for Medical Image Analysis. - Yucheng Tang; Jie Liu 044; Zongwei Zhou; Xin Yu 010; Yuankai Huo (World Sci. Annu. Rev. Artif. Intell., 2024)

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models. - Lianrui Zuo; Kaiwen Xu; Dingjie Su; Xin Yu 010; Aravind R. Krishnan; Yihao Liu; Shunxing Bao; Thomas Z. Li; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (CoRR, 2025)

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices. - Lianrui Zuo; Xin Yu 010; Dingjie Su; Kaiwen Xu; Aravind R. Krishnan; Yihao Liu; Shunxing Bao; Fabien Maldonado; Luigi Ferrucci; Bennett A. Landman (CoRR, 2025)