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Weidong Cai

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How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks

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Apr 04, 2024
Dongang Wang, Peilin Liu, Hengrui Wang, Heidi Beadnall, Kain Kyle, Linda Ly, Mariano Cabezas, Geng Zhan, Ryan Sullivan, Weidong Cai, Wanli Ouyang, Fernando Calamante, Michael Barnett, Chenyu Wang

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Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction

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Mar 30, 2024
Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell

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Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

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Mar 13, 2024
Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou

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Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling

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Mar 05, 2024
Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai

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Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation

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Feb 09, 2024
Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai

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Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation

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Jan 21, 2024
Jianan Fan, Dongnan Liu, Hang Chang, Weidong Cai

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A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data

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Jan 13, 2024
Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O' Donnell

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Complex Organ Mask Guided Radiology Report Generation

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Nov 10, 2023
Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai

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ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection

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Nov 07, 2023
Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai

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ODM3D: Alleviating Foreground Sparsity for Enhanced Semi-Supervised Monocular 3D Object Detection

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Oct 28, 2023
Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai

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