Ho Hin Lee

78 papers A* 2B 11Journal 49Unranked 16
YearRankTypeTitle / Venue / Authors
2025 A* conf
Boltzmann Attention Sampling for Image Analysis with Small Objects.
CVPR
Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei
2025 J jnl
Boltzmann Attention Sampling for Image Analysis with Small Objects.
CoRR
Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei
2025 J jnl
Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations.
CoRR
Ho Hin Lee, Alberto Santamaría-Pang, Jameson Merkov, Matthew P. Lungren, Ivan Tarapov
2025 J jnl
Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging.
CoRR
Ho Hin Lee, Quan Liu, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2025 J jnl
The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks.
CoRR
Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025 — conf
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation.
MICCAI (4)
Md Mahfuz Al Hasan, Mahdi Zaman, Abdul Jawad, Alberto Santamaría-Pang, Ho Hin Lee, Ivan Tarapov, Kyle B. See, Md Shah Imran, Antika Roy, Yaser Pourmohammadi Fallah, Navid Asadizanjani, Reza Forghani
2025 J jnl
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation.
CoRR
Md Mahfuz Al Hasan, Mahdi Zaman, Abdul Jawad, Alberto Santamaría-Pang, Ho Hin Lee, Ivan Tarapov, Kyle B. See, Md Shah Imran, Antika Roy, Yaser Pourmohammadi Fallah, Navid Asadizanjani, Reza Forghani
2024 J jnl
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.
CoRR
Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang
2024 J jnl
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.
CoRR
Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman
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
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation.
CoRR
Xin Yu, Qi Yang, Han Liu, Ho Hin Lee, Yucheng Tang, Lucas W. Remedios, Michael E. Kim, Shunxing Bao, Ann Xenobia Moore, Luigi Ferrucci, Bennett A. Landman
2024 J jnl
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.
Comput. Hum. Behav.
Haiyun Ma, Edmund W. J. Lee, Luyao Xie, Ho Hin Lee, Kam Hei Hui, Phoenix K. H. Mo, Meiqi Xin
2024 J jnl
Foundation Models for Biomedical Image Segmentation: A Survey.
CoRR
Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaría-Pang, Hoifung Poon
2024 J jnl
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging.
CoRR
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, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John W. Garrett, Alan B. McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei
2024 — conf
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.
ISBI
Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
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 J jnl
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR
Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman
2023 A* conf
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.
ICLR
Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2023 J jnl
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology.
CoRR
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
2023 — conf
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.
MIDL
Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2023 — conf
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
MIDL
Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, 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 J jnl
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution.
CoRR
Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2023 J jnl
Digital Modeling on Large Kernel Metamaterial Neural Network.
CoRR
Quan Liu, Hanyu Zheng, Brandon T. Swartz, Ho Hin Lee, Zuhayr Asad, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo
2023 J jnl
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.
CoRR
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2023 J jnl
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.
CoRR
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
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
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation.
Image Processing
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2023 J jnl
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas.
CoRR
Yinchi Zhou, Ho Hin Lee, Yucheng Tang, Xin Yu, Qi Yang, Shunxing Bao, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
2023 J jnl
Predicting Age from White Matter Diffusivity with Residual Learning.
CoRR
Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman
2023 J jnl
Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query.
CoRR
Ho Hin Lee, Alberto Santamaría-Pang, Jameson Merkow, Ozan Oktay, Fernando Pérez-García, Javier Alvarez-Valle, Ivan Tarapov
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 — conf
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging.
Digital and Computational Pathology
Shunxing Bao, Can Cui, Jia Li, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu, Qi Yang, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
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
2023 B conf
Unsupervised registration refinement for generating unbiased eye atlas.
Image Processing
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Qi Yang, Xin Yu, Kevin L. Schey, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
2022 J jnl
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.
CoRR
Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman
2022 B conf
Accelerating 2D abdominal organ segmentation with active learning.
Image Processing
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
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 J jnl
Characterizing Renal Structures with 3D Block Aggregate Transformers.
CoRR
Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
2022 — conf
Inpainting missing tissue in multiplexed immunofluorescence imaging.
Digital and Computational Pathology
Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2022 J jnl
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation.
CoRR
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022 — conf
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.
MICCAI (5)
Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Huahong Zhang, Ipek Oguz
2022 J jnl
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.
CoRR
Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Ipek Oguz
2022 J jnl
Multi-contrast computed tomography healthy kidney atlas.
Comput. Biol. Medicine
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
2022 — conf
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
MOVI@MICCAI
Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo
2022 J jnl
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR
Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, John Jeffrey Carr, Yuankai Huo, Bennett A. Landman
2022 B conf
Quantification of muscle, bones, and fat on single slice thigh CT.
Image Processing
Qi Yang, Xin Yu, Ho Hin Lee, Yucheng Tang, Shunxing Bao, Kristofer S. Gravenstein, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, 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 B conf
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Image Processing
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang, Xin Yu, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Mattias P. Heinrich, Yuankai Huo, 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 J jnl
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.
J. Digit. Imaging
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, Allen T. Netwon, Bennett A. Landman
2021 J jnl
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation.
CoRR
Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Bennett A. Landman, Yuankai Huo
2021 B conf
Construction of a multi-phase contrast computed tomography kidney atlas.
Image Processing
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
2021 J jnl
High-resolution 3D abdominal segmentation with random patch network fusion.
Medical Image Anal.
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
2021 — conf
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
MICCAI (5)
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
2021 J jnl
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
CoRR
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
2021 — conf
Pancreas CT Segmentation by Predictive Phenotyping.
MICCAI (1)
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman
2021 — conf
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging.
COMPAY@MICCAI
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
2021 J jnl
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging.
CoRR
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
2021 — conf
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.
ISBI
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2021 B conf
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Image Processing
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
2020 B conf
Contrast phase classification with a generative adversarial network.
Image Processing
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 J jnl
Multi-Contrast Computed Tomography Healthy Kidney Atlas.
CoRR
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
2020 J jnl
Outlier Guided Optimization of Abdominal Segmentation.
CoRR
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 B conf
Outlier guided optimization of abdominal segmentation.
Image Processing
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 — conf
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.
ML-CDS/CLIP@MICCAI
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
2020 J jnl
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior.
CoRR
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 B conf
Semi-supervised multi-organ segmentation through quality assurance supervision.
Image Processing
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 J jnl
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives.
CoRR
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 B conf
Validation and optimization of multi-organ segmentation on clinical imaging archives.
Image Processing
Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2019 J jnl
Contrast Phase Classification with a Generative Adversarial Network.
CoRR
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2019 J jnl
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision.
CoRR
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman