Toward image-guided partial nephrectomy with the da Vinci robot: exploring surface acquisition methods for intraoperative re-registration. - James M. Ferguson; Leon Y. Cai; Alexander Reed; Michael A. Siebold; Smita De; S. Duke Herrell; Robert J. Webster III (Image-Guided Procedures, 2018)

Joint cortical surface and structural connectivity analysis of Alzheimer's disease. - Leon Y. Cai; Cailey I. Kerley; Chang Yu 008; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Ilwoo Lyu; Bennett A. Landman (Image Processing, 2021)

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury. - Cailey I. Kerley; Leon Y. Cai; Chang Yu 008; Logan M. Crawford; Jason M. Elenberger; Eden S. Singh; Kurt G. Schilling; Katherine S. Aboud; Bennett A. Landman; Tonia S. Rex (Image Processing, 2021)

Validation of group-wise registration for surface-based functional MRI analysis. - Chang Yu 008; Yue Liu 003; Leon Y. Cai; Cailey I. Kerley; Kaiwen Xu; Warren D. Taylor; Hakmook Kang; Andrea T. Shafer; Lori L. Beason-Held; Susan M. Resnick; Bennett A. Landman; Ilwoo Lyu (Image Processing, 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)

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)

Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease. - Leon Y. Cai; Francois Rheault; Cailey I. Kerley; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Bennett A. Landman (Image Processing, 2022)

Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability. - Leon Y. Cai; Costin Tanase; Adam W. Anderson; Karthik Ramadass; Francois Rheault; Chelsea A. Lee; Niral J. Patel; Sky Jones; Lauren M. LeStourgeon; Alix Mahon; Sumit Pruthi; Kriti Gwal; et al. (Image Processing, 2022)

Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation. - Praitayini Kanakaraj; Colin B. Hansen; Francois Rheault; Leon Y. Cai; Karthik Ramadass; Baxter P. Rogers; Kurt G. Schilling; Bennett A. Landman (Image Processing, 2022)

Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. - Karthik Ramadass; Francois Rheault; Leon Y. Cai; Lucas W. Remedios; Micah D'Archangel; Ilwoo Lyu; Laura A. Barquero; Allen T. Newton; Laurie E. Cutting; Yuankai Huo; Bennett A. Landman (Image Processing, 2022)

Efficient quality control with mixed CT and CTA datasets. - Lucas W. Remedios; Leon Y. Cai; Colin B. Hansen; Samuel W. Remedios; Bennett A. Landman (Image Processing, 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)

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)

A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI. - Tianyuan Yao; Nancy Newlin; Praitayini Kanakaraj; Vishwesh Nath; Leon Y. Cai; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (CDMRI@MICCAI, 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)

Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. - Lucas W. Remedios; Shunxing Bao; Cailey I. Kerley; Leon Y. Cai; François Rheault; Ruining Deng; Can Cui 006; Sophie Chiron; Ken S. Lau; Joseph T. Roland; Mary K. Washington; Lori A. Coburn; et al. (Digital and Computational Pathology, 2023)

Mapping the impact of approximate gradient nonlinearity fields correction on tractography. - Praitayini Kanakaraj; Francois Rheault; Leon Y. Cai; Nancy Newlin; Fang-Cheng Yeh; Baxter P. Rogers; Kurt G. Schilling; Bennett A. Landman (Image Processing, 2023)

Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size. - Cailey I. Kerley; Leon Y. Cai; Yucheng Tang; Lori L. Beason-Held; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (Image Processing, 2023)

Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging. - Nancy R. Newlin; Leon Y. Cai; Tianyuan Yao; Derek B. Archer; Kurt G. Schilling; Timothy J. Hohman; Kimberly R. Pechman; Angela L. Jefferson; Andrea T. Shafer; Susan M. Resnick; 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)

Deep constrained spherical deconvolution for robust harmonization. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (Image Processing, 2023)

SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans. - Tian Yu; Leon Y. Cai; Victoria L. Morgan; Sarah E. Goodale; Dario J. Englot; Catherine E. Chang; Bennett A. Landman; Kurt G. Schilling (Image Processing, 2023)

A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI. - Tianyuan Yao; Nancy Newlin; Praitayini Kanakaraj; Vishwesh Nath; Leon Y. Cai; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (CoRR, 2023)

Exploring shared memory architectures for end-to-end gigapixel deep learning. - Lucas W. Remedios; Leon Y. Cai; Samuel W. Remedios; Karthik Ramadass; Aravind R. Krishnan; Ruining Deng; Can Cui 006; Shunxing Bao; Lori A. Coburn; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Andrea T. Shafer; Susan M. Resnick; Kurt Schilling; et al. (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)

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)

Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. - Tianyuan Yao; Derek B. Archer; Zhiyuan Li 012; Leon Y. Cai; Praitayini Kanakaraj; Nancy Newlin; Quan Liu 002; Ruining Deng; Can Cui 006; Shunxing Bao; Kurt Schilling; Bennett A. Landman; et al. (CDMRI@MICCAI, 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)

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)

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)