Leon Y. Cai

38 papers B 14Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology.
CoRR
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, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2024 J jnl
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images.
Neuroinformatics
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, Susan M. Resnick, Eleftherios Garyfallidis, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer
2024 J jnl
Nucleus subtype classification using inter-modality learning.
CoRR
Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2024 — conf
Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI.
CDMRI@MICCAI
Tianyuan Yao, Derek B. Archer, Zhiyuan Li, Leon Y. Cai, Praitayini Kanakaraj, Nancy Newlin, Quan Liu, Ruining Deng, Can Cui, Shunxing Bao, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2023 — conf
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.
CDMRI@MICCAI
Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2023 J jnl
A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.
CoRR
Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2023 B conf
Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size.
Image Processing
Cailey I. Kerley, Leon Y. Cai, Yucheng Tang, Lori L. Beason-Held, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
2023 B conf
Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging.
Image Processing
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
2023 J jnl
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2023 B conf
Deep constrained spherical deconvolution for robust harmonization.
Image Processing
Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2023 B conf
Deep whole brain segmentation of 7T structural MRI.
Image Processing
Karthik Ramadass, Xin Yu, 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, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman
2023 J jnl
Exploring shared memory architectures for end-to-end gigapixel deep learning.
CoRR
Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman
2023 J jnl
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification.
CoRR
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, Bennett A. Landman, Thomas A. Lasko
2023 — conf
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification.
MICCAI (2)
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, Bennett A. Landman, Thomas A. Lasko
2023 B conf
Mapping the impact of approximate gradient nonlinearity fields correction on tractography.
Image Processing
Praitayini Kanakaraj, Francois Rheault, Leon Y. Cai, Nancy Newlin, Fang-Cheng Yeh, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman
2023 — conf
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.
Digital and Computational Pathology
Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
2023 J jnl
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR
Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Andrea T. Shafer, Susan M. Resnick, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2023 J jnl
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.
CoRR
Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman
2023 — conf
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.
MICCAI (4)
Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman
2023 J jnl
Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo
2023 B conf
SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans.
Image Processing
Tian Yu, Leon Y. Cai, Victoria L. Morgan, Sarah E. Goodale, Dario J. Englot, Catherine E. Chang, Bennett A. Landman, Kurt G. Schilling
2023 J jnl
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal.
Xin Yu, Qi Yang, 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, Yuankai Huo, Bennett A. Landman, Yucheng Tang
2022 J jnl
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation.
CoRR
Ho Hin Lee, Yucheng Tang, Han Liu, Yubo Fan, Leon Y. Cai, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2022 B conf
Efficient quality control with mixed CT and CTA datasets.
Image Processing
Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman
2022 B conf
Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease.
Image Processing
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
2022 B conf
Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation.
Image Processing
Praitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Karthik Ramadass, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman
2022 B conf
Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability.
Image Processing
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, Arzu Ozturk, Hakmook Kang, Nicole Glaser, Simona Ghetti, Sarah S. Jaser, Lori C. Jordan, Bennett A. Landman
2022 — conf
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
MICCAI (8)
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022 J jnl
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
CoRR
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022 J jnl
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training.
CoRR
Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman
2022 J jnl
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation.
CoRR
Xin Yu, Qi Yang, 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, Yuankai Huo, Bennett A. Landman, Yucheng Tang
2022 B conf
Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI.
Image Processing
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
2021 J jnl
Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow.
NeuroImage
Kurt G. Schilling, Chantal M. W. Tax, Francois Rheault, Colin B. Hansen, Qi Yang, Fang-Cheng Yeh, Leon Y. Cai, Adam W. Anderson, Bennett A. Landman
2021 B conf
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.
Image Processing
Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex
2021 B conf
Joint cortical surface and structural connectivity analysis of Alzheimer's disease.
Image Processing
Leon Y. Cai, Cailey I. Kerley, Chang Yu, 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
2021 B conf
Validation of group-wise registration for surface-based functional MRI analysis.
Image Processing
Chang Yu, Yue Liu, 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
2020 J jnl
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.
CoRR
Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex
2018 — conf
Toward image-guided partial nephrectomy with the da Vinci robot: exploring surface acquisition methods for intraoperative re-registration.
Image-Guided Procedures
James M. Ferguson, Leon Y. Cai, Alexander Reed, Michael A. Siebold, Smita De, S. Duke Herrell, Robert J. Webster III