Yuankai Huo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
6
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics. | Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Mengmeng Yin, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo |
| 2024 | CVPR | PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. | Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo |
| 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 |
| 2024 | SC | Adaptive Patching for High-resolution Image Segmentation with Transformers. | Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib |
| 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 | Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. | Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, 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 |
| 2023 | MICCAI | M | Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo |
| 2023 | MICCAI | 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 |
| 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 | Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. | Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, 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 | Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. | Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo |
| 2022 | MICCAI | CircleSnake: Instance Segmentation with Circle Representation. | Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, 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 | From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics. | Roza G. Bayrak, Colin B. Hansen, Jorge Alberto Salas, Nafis Ahmed, Ilwoo Lyu, Yuankai Huo, Catie Chang |
| 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 | Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. | 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 | MICCAI | Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. | Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison |
| 2021 | MICCAI | SimTriplet: Simple Triplet Representation Learning with a Single GPU. | Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, 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 |
| 2021 | MICCAI | VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. | Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo |
| 2020 | ECCV | JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. | Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison |
| 2020 | ECCV | Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. | Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison |
| 2020 | MICCAI | A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data. | Roza G. Bayrak, Jorge Alberto Salas, Yuankai Huo, Catie Chang |
| 2020 | MICCAI | Semi-supervised Machine Learning with MixMatch and Equivalence Classes. | Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman |
| 2020 | MICCAI | Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. | Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison |
| 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 |
| 2020 | MICCAI | CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. | Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo |
| 2020 | MICCAI | EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology. | Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo |
| 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 | Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. | Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, 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 | Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis. | Sandra Gonzlez-Vill, Yuankai Huo, Arnau Oliver, Xavier Llad, Bennett A. Landman |
| 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 |
| 2018 | MICCAI | Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. | Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou |
| 2017 | MICCAI | Automated Characterization of Body Composition and Frailty with Clinically Acquired CT. | Peijun Hu, Yuankai Huo, Dexing Kong, John Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley, Bennett A. Landman |
| 2017 | MICCAI | Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones. | Yuankai Huo, Vaughn Braxton, S. Duke Herrell, Bennett A. Landman, Smita De |
| 2017 | MICCAI | 4D Multi-atlas Label Fusion Using Longitudinal Images. | Yuankai Huo, Susan M. Resnick, Bennett A. Landman |
| 2017 | MICCAI | Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure. | Prasanna Parvathaneni, Baxter P. Rogers, Yuankai Huo, Kurt Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, Bennett A. Landman |
| 2016 | IDEAL | Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice Model and Chaotic Clonal Genetic Algorithm. | Shuihua Wang, Lenan Wu, Yuankai Huo, Xueyan Wu, Hainan Wang, Yudong Zhang |
| 2016 | MICCAI | Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. | Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman |