| 2026 | AAAI | Gotta Hear Them All: Towards Sound Source Aware Audio Generation. | Wei Guo, Heng Wang, Jianbo Ma, Weidong Cai |
| 2026 | AAAI | UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning. | Tiancheng Gu, Kaicheng Yang, Kaichen Zhang, Xiang An, Ziyong Feng, Yueyi Zhang, Weidong Cai, Jiankang Deng, Lidong Bing |
| 2026 | AAAI | HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology. | Ziqiao Weng, Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee A. Cooper, Weidong Cai, Bo Zhou |
| 2025 | ACL | Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities. | Zhiyuan Li, Heng Wang, Dongnan Liu, Chaoyi Zhang, Ao Ma, Jieting Long, Weidong Cai |
| 2025 | DICTA | Beyond Random Masking: A Dual-Stream Approach for Rotation-Invariant Point Cloud Masked Autoencoders. | Xuanhua Yin, Dingxin Zhang, Yu Feng, Shunqi Mao, Jianhui Yu, Weidong Cai |
| 2025 | ECAI | ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation. | Bo Fang, Jianan Fan, Dongnan Liu, Hang Chang, Gerald J. Shami, Filip Braet, Weidong Cai |
| 2025 | IJCNN | HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis. | Xuanhua Yin, Dingxin Zhang, Jianhui Yu, Weidong Cai |
| 2025 | IROS | CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection. | Chupeng Liu, Runkai Zhao, Weidong Cai |
| 2025 | WWW | Diversity-Augmented Diffusion Network With LLM Assistance For Radiology Report Generation. | Jieting Long, Zhiyuan Li, Jianan Fan, Zhuonan Liang, Ao Ma, Henning Mller, Weidong Cai |
| 2025 | WWW | Seek Inner: LLM-Enhanced Information Mining for Medical Visual Question Answering. | Ao Ma, Zhiyuan Li, Zhuonan Liang, Tiancheng Gu, Jianan Fan, Jieting Long, Henning Mller, Weidong Cai |
| 2025 | WACV | AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation. | Mingyu Sheng, Jianan Fan, Dongnan Liu, Ron Kikinis, Weidong Cai |
| 2025 | WACV | Dance any Beat: Blending Beats with Visuals in Dance Video Generation. | Xuanchen Wang, Heng Wang, Dongnan Liu, Weidong Cai |
| 2024 | AAAI | V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models. | Heng Wang, Jianbo Ma, Santiago Pascual, Richard Cartwright, Weidong Cai |
| 2024 | ACCV | Enhancing Robustness to Noise Corruption for Point Cloud Recognition via Spatial Sorting and Set-Mixing Aggregation Module. | Dingxin Zhang, Jianhui Yu, Tengfei Xue, Chaoyi Zhang, Dongnan Liu, Weidong Cai |
| 2024 | BMVC | Unsupervised Domain Adaptation for Tubular Structure Segmentation Across Different Anatomical Sources. | Yuxiang An, Dongnan Liu, Weidong Cai |
| 2024 | BMVC | Rethinking Domain Adaptive Optic Disc and Cup Segmentation in Fundus Image through Dynamic Diffusion Flow. | Canran Li, Dongnan Liu, Weidong Cai |
| 2024 | CVPR | Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. | Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai |
| 2024 | CVPR | Device-Wise Federated Network Pruning. | Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang |
| 2024 | CVPR | LaPA: Latent Prompt Assist Model for Medical Visual Question Answering. | Tiancheng Gu, Kaicheng Yang, Dongnan Liu, Weidong Cai |
| 2024 | CVPR | EgoSG: Learning 3D Scene Graphs from Egocentric RGB-D Sequences. | Chaoyi Zhang, Xitong Yang, Ji Hou, Kris Kitani, Weidong Cai, Fu-Jen Chu |
| 2024 | DICTA | Multi-Source Unsupervised Domain Adaptation for Neuron Membrane Segmentation via Feature Enhancement. | Yuxiang An, Dongnan Liu, Weidong Cai |
| 2024 | DICTA | DeepIcon: A Hierarchical Network for Layer-Wise Icon Vectorization. | Qi Bing, Chaoyi Zhang, Weidong Cai |
| 2024 | ECCV | Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights. | Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai |
| 2024 | EMNLP | RWKV-CLIP: A Robust Vision-Language Representation Learner. | Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng |
| 2024 | EMNLP | Enhancing Advanced Visual Reasoning Ability of Large Language Models. | Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai |
| 2024 | ICONIP | Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging. | Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang |
| 2024 | ICPR | Learning to Synthesize Graphics Programs for Geometric Artworks. | Qi Bing, Chaoyi Zhang, Weidong Cai |
| 2024 | ICRA | Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development. | Runkai Zhao, Yuwen Heng, Heng Wang, Yuanda Gao, Shilei Liu, Changhao Yao, Jiawen Chen, Weidong Cai |
| 2024 | IVCNZ | GroupLearning: Label Noise Mitigation Through Multi-Expert Collaboration for Medical Image Analysis. | Qinyi Cao, Dongnan Liu, Jianan Fan, Weidong Cai |
| 2024 | IVCNZ | Disentanglement-Based Unsupervised Domain Adaptation for Nuclei Instance Segmentation. | Jieting Long, Dongnan Liu, Zihao Tang, Weidong Cai |
| 2024 | MICCAI | Accurate Fetal Head Descent Assessment During Labor Using Video Swin Transformer and Wavelet-Based Multitask Learning for 2024 MICCAI Challenge IUGC. | Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Weidong Cai |
| 2024 | MICCAI | Cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. | Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell |
| 2024 | MICCAI | SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt. | Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai |
| 2024 | WACV | Complex Organ Mask Guided Radiology Report Generation. | Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai |
| 2023 | AAAI | Rethinking Rotation Invariance with Point Cloud Registration. | Jianhui Yu, Chaoyi Zhang, Weidong Cai |
| 2023 | AAAI | PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration. | Dingxin Zhang, Jianhui Yu, Chaoyi Zhang, Weidong Cai |
| 2023 | CVPR | SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. | Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou |
| 2023 | CVPR | CelebV-Text: A Large-Scale Facial Text-Video Dataset. | Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu |
| 2023 | DICTA | Multi-modal Domain Adaptation for Text Visual Question Answering Tasks. | Zhiyuan Li, Dongnan Liu, Weidong Cai |
| 2023 | DICTA | Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification. | Yixiong Shi, Chenyu Wang, Dongnan Liu, Weidong Cai, Mariano Cabezas |
| 2023 | ICCV | Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. | Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai |
| 2023 | ICONIP | ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis. | Zhuonan Liang, Dongnan Liu, Yuqing Yang, Caiyun Sun, Weidong Cai, Peng Fu |
| 2023 | MICCAI | A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. | Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell |
| 2023 | MICCAI | TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. | Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell |
| 2023 | WACV | PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds. | Runkai Zhao, Heng Wang, Chaoyi Zhang, Weidong Cai |
| 2022 | BMVC | Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. | Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai |
| 2022 | ICIP | Channel-Position Self-Attention with Query Refinement Skeleton Graph Neural Network in Human Pose Estimation. | Shek Wai Chu, Chaoyi Zhang, Yang Song, Weidong Cai |
| 2022 | IJCAI | Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds. | Heng Wang, Chaoyi Zhang, Jianhui Yu, Weidong Cai |
| 2022 | MICCAI | White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. | Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell |
| 2022 | MICCAI | Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. | Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai |
| 2022 | MICCAI | TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. | Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell |
| 2021 | CVPR | Network Pruning via Performance Maximization. | Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang |
| 2021 | CVPR | Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis. | Chaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai |
| 2021 | ICCV | Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. | Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai |
| 2021 | IJCNN | ICE-GAN: Identity-Aware and Capsule-Enhanced GAN with Graph-Based Reasoning for Micro-Expression Recognition and Synthesis. | Jianhui Yu, Chaoyi Zhang, Yang Song, Weidong Cai |
| 2021 | MICCAI | Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. | Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell |
| 2021 | MICCAI | LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. | Zihao Tang, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang |
| 2021 | MICCAI | BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. | Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai |
| 2021 | MICCAI | Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction. | Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai |
| 2020 | AAAI | Shape-Oriented Convolution Neural Network for Point Cloud Analysis. | Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai |
| 2020 | CVPR | Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. | Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai |
| 2020 | ICONIP | Automatic Dropout for Deep Neural Networks. | Veena Dodballapur, Rajanish Calisa, Yang Song, Weidong Cai |
| 2020 | MICCAI | Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. | Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang |
| 2020 | MICCAI | Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. | Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang |
| 2020 | MICCAI | BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. | Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai |
| 2019 | CVPR | Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing. | Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Heng Huang, Mei Chen, Hanchuan Peng, Weidong Cai |
| 2019 | ICIP | Human Pose Estimation Using Deep Convolutional Densenet Hourglass Network with Intermediate Points Voting. | Shek Wai Chu, Yang Song, Ju Jia Zou, Weidong Cai |
| 2019 | IJCAI | Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. | Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai |
| 2019 | MICCAI | HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. | Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia |
| 2019 | MICCAI | Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. | Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai |
| 2019 | MICCAI | Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. | Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang |
| 2019 | VCIP | Feature-Based Patch Matching for Moving Object Detection. | Mosin Russell, Ju Jia Zou, Gu Fang, Weidong Cai |
| 2018 | CVPR | Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. | Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai |
| 2018 | DICTA | Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images. | Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Rong Gao, Hanchuan Peng, Weidong Cai |
| 2018 | DICTA | MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging. | Chaoyi Zhang, Yang Song, Sidong Liu, Scott Lill, Chenyu Wang, Zihao Tang, Yuyi You, Yang Gao, Alexander Klistorner, Michael Barnett, Weidong Cai |
| 2018 | ICIP | Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. | Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai |
| 2018 | ICIP | Whole Slide Image Classification via Iterative Patch Labelling. | Chaoyi Zhang, Yang Song, Donghao Zhang, Sidong Liu, Mei Chen, Weidong Cai |
| 2018 | ICONIP | 3D Large Kernel Anisotropic Network for Brain Tumor Segmentation. | Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren J. O'Donnell, Weidong Cai |
| 2018 | MICCAI | 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. | Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu |
| 2018 | MICCAI | Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images. | Zihao Tang, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Domenic Soligo, Ruth Oliver, Michael Barnett, Ch Fornusek |
| 2018 | MICCAI | Temporal Correlation Structure Learning for MCI Conversion Prediction. | Xiaoqian Wang, Weidong Cai, Dinggang Shen, Heng Huang |
| 2018 | MICCAI | Multiscale Network Followed Network Model for Retinal Vessel Segmentation. | Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai |
| 2018 | MICCAI | Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. | Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai |
| 2017 | AAAI | Video Recovery via Learning Variation and Consistency of Images. | Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang |
| 2017 | ICCV | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. | Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang |
| 2017 | ICCV | Locally-Transferred Fisher Vectors for Texture Classification. | Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai |
| 2017 | MICCAI | Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images. | Siqi Liu, Donghao Zhang, Yang Song, Hanchuan Peng, Weidong Cai |
| 2017 | MICCAI | Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. | Yang Song, Hang Chang, Heng Huang, Weidong Cai |
| 2017 | MICCAI | Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. | Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai |
| 2017 | MICCAI | Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. | Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell |
| 2016 | MICCAI | Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. | Ju Han, Yunfu Wang, Weidong Cai, Alexander Borowsky, Bahram Parvin, Hang Chang |
| 2016 | MICCAI | Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. | Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia |
| 2015 | CVPR | Robust saliency detection via regularized random walks ranking. | ChangYang Li, Yuchen Yuan, Weidong Cai, Yong Xia, David Dagan Feng |
| 2015 | CVPR | Fusing subcategory probabilities for texture classification. | Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang |
| 2015 | ECIR | Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image. | Siqi Liu, Nur Hadi, Sidong Liu, Sonia Pujol, Ron Kikinis, Fan Zhang, Dagan Feng, Weidong Cai |
| 2015 | ECIR | USYD/HES-SO in the VISCERAL Retrieval Benchmark. | Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Mller |
| 2015 | ICIP | Beating cilia identification in fluorescence microscope images for accurate CBF measurement. | Fan Zhang, Weidong Cai, Yang Song, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Dagan Feng |
| 2015 | ICONIP | Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears. | Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng, Mei Chen |
| 2015 | KDD | Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. | Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang |
| 2015 | MICCAI | Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). | Henning Mller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas |
| 2014 | ICARCV | Medical image classification with convolutional neural network. | Qing Li, Weidong Cai, Xiaogang Wang, Yun Zhou, David Dagan Feng, Mei Chen |
| 2014 | ICARCV | Propagation graph fusion for multi-modal medical content-based retrieval. | Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Weidong Cai |
| 2014 | ICARCV | Automated three-stage nucleus and cytoplasm segmentation of overlapping cells. | Afaf Tareef, Yang Song, Weidong Cai, David Dagan Feng, Mei Chen |
| 2013 | DICTA | Context Curves for Classification of Lung Nodule Images. | Fan Zhang, Yang Song, Weidong Cai, Yun Zhou, Shimin Shan, Dagan Feng |
| 2013 | ICCV | New Graph Structured Sparsity Model for Multi-label Image Annotations. | Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang |
| 2013 | ICCV | Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. | Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang |
| 2013 | ICCV | Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. | Hua Wang, Feiping Nie, Weidong Cai, Heng Huang |
| 2013 | ICIP | A supervised multiview spectral embedding method for neuroimaging classification. | Sidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, Lingfeng Wen, David Dagan Feng |
| 2013 | ICIP | Graph cuts based relevance feedback in image retrieval. | Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, David Dagan Feng |
| 2013 | MICCAI | A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. | Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen |
| 2013 | MICCAI | Multifold Bayesian Kernelization in Alzheimer's Diagnosis. | Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng |
| 2013 | MICCAI | Discriminative Data Transform for Image Feature Extraction and Classification. | Yang Song, Weidong Cai, Seungil Huh, Mei Chen, Takeo Kanade, Yun Zhou, Dagan Feng |
| 2013 | MICCAI | Similarity Guided Feature Labeling for Lesion Detection. | Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng |
| 2012 | CVPR | Object localization in medical images based on graphical model with contrast and interest-region terms. | Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng |
| 2012 | DICTA | Microscopic Image Segmentation with Two-Level Enhancement of Feature Discriminability. | Yang Song, Weidong Cai, David Dagan Feng |
| 2012 | ICIP | Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval. | Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng |
| 2012 | MICCAI | Context Enhanced Graphical Model for Object Localization in Medical Images. | Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng |
| 2012 | MICCAI | Thoracic Abnormality Detection with Data Adaptive Structure Estimation. | Yang Song, Weidong Cai, Yun Zhou, Dagan Feng |
| 2011 | DICTA | A Study on Static Image Derived Input Function for Non-invasively Constructing Parametric Image in Functional Imaging. | Xian Shi, Lingfeng Wen, Weidong Cai, David Dagan Feng |
| 2011 | MICCAI | Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference. | Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng |
| 2010 | CBMS | Localized multiscale texture based retrieval of neurological image. | Sidong Liu, Lei Jing, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng |
| 2010 | CBMS | A content-based image retrieval framework for multi-modality lung images. | Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng |
| 2010 | DICTA | Structure-Adaptive Feature Extraction and Representation for Multi-modality Lung Images Retrieval. | Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng |
| 2010 | ICIP | 3D neurological image retrieval with localized pathology-centric CMRGlc patterns. | Weidong Cai, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng |
| 2003 | ICIAP | Pathological lesion detection in 3D dynamic PET images using asymmetry. | Zhe Chen, David Dagan Feng, Weidong Cai |
| 2000 | CGI | Visualization of Biomedical Processes: Local Quantitative Physiological Functions in Living Human Body. | David Dagan Feng, Weidong Cai |
| 1995 | ICIP | Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms. | Hiroyuki Yoshida, Wei Zhang, Weidong Cai, Kunio Doi, Robert M. Nishikawa, Maryellen L. Giger |