Shunxing Bao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
4
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | MICCAI | HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. | Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo |
| 2024 | MICCAI | Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. | 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 | ICLR | 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. | Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman |
| 2023 | MICCAI | Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. | Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo |
| 2023 | MICCAI | Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. | 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 |
| 2022 | IC2E | Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. | Xingyu Zhou, Robert Canady, Yi Li, Shunxing Bao, Yogesh D. Barve, Daniel Balasubramanian, Aniruddha Gokhale |
| 2022 | MICCAI | MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. | 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 | MICCAI | Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. | Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo |
| 2022 | MICCAI | Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. | 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 |
| 2021 | MICCAI | CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. | Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo |
| 2021 | MICCAI | Pancreas CT Segmentation by Predictive Phenotyping. | 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 | MICCAI | Compound Figure Separation of Biomedical Images with Side Loss. | Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo |
| 2020 | MICCAI | Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. | 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 |
| 2019 | MICCAI | Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. | Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman |
| 2019 | MICCAI | Cortical Surface Parcellation Using Spherical Convolutional Neural Networks. | Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil D. Woodward, Daniel O. Claassen, Carissa J. Cascio, David H. Zald, Yuankai Huo, Bennett A. Landman, Ilwoo Lyu |
| 2018 | MICCAI | Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. | Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman |
| 2017 | IC2E | Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing. | Shunxing Bao, Bennett A. Landman, Aniruddha S. Gokhale |
| 2017 | IC2E | Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. | Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha S. Gokhale |
| 2016 | COMPSAC | Reasoning for CPS Education Using Surrogate Simulation Models. | Shunxing Bao, Joe Porter, Aniruddha S. Gokhale |