Abnormal detection using interaction energy potentials. - Xinyi Cui; Qingshan Liu 001; Mingchen Gao; Dimitris N. Metaxas (CVPR, 2011)

4D Cardiac Reconstruction Using High Resolution CT Images. - Mingchen Gao; Junzhou Huang; Shaoting Zhang 001; Zhen Qian; Szilard Voros; Dimitris N. Metaxas; Leon Axel (FIMH, 2011)

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI. - Shaoting Zhang 001; Mustafa Gökhan Uzunbas; Zhennan Yan; Mingchen Gao; Junzhou Huang; Dimitris N. Metaxas; Leon Axel (FIMH, 2011)

Using High Resolution Cardiac CT Data to Model and Visualize Patient-Specific Interactions between Trabeculae and Blood Flow. - Scott Kulp; Mingchen Gao; Shaoting Zhang 001; Zhen Qian; Szilard Voros; Dimitris N. Metaxas; Leon Axel (MICCAI (1), 2011)

Simplified Labeling Process for Medical Image Segmentation. - Mingchen Gao; Junzhou Huang; Xiaolei Huang 001; Shaoting Zhang 001; Dimitris N. Metaxas (MICCAI (2), 2012)

Towards robust device-free passive localization through automatic camera-assisted recalibration. - Chenren Xu; Mingchen Gao; Bernhard Firner; Yanyong Zhang; Richard E. Howard; Jun Li 034 (SenSys, 2012)

Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles. - Mingchen Gao; Chao Chen 012; Shaoting Zhang 001; Zhen Qian; Dimitris N. Metaxas; Leon Axel (IPMI, 2013)

High resolution cardiac shape registration using Ricci flow. - Mingchen Gao; Rui Shi; Shaoting Zhang 001; Wei Zeng 002; Zhen Qian; Xianfeng David Gu; Dimitris N. Metaxas; Leon Axel (ISBI, 2013)

Practical patient-specific cardiac blood flow simulations using SPH. - Scott Kulp; Mingchen Gao; Shaoting Zhang 001; Zhen Qian; Szilard Voros; Dimitris N. Metaxas; Leon Axel (ISBI, 2013)

Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction. - Lin Zhong 002; Shaoting Zhang 001; Mingchen Gao; Junzhou Huang; Zhen Qian; Dimitris N. Metaxas; Leon Axel (ISBI, 2013)

3D anatomical shape atlas construction using mesh quality preserved deformable models. - Shaoting Zhang 001; Yiqiang Zhan; Xinyi Cui; Mingchen Gao; Junzhou Huang; Dimitris N. Metaxas (Comput. Vis. Image Underst., 2013)

Morphological analysis of the papillary muscles and the trabeculae. - Mingchen Gao; Chao Chen 012; Shaoting Zhang 001; Zhen Qian; Mani Vannan; Sarah Rinehart; Dimitris N. Metaxas; Leon Axel (ISBI, 2014)

Saliency-based rotation invariant descriptor for wrist detection in whole body CT images. - Mingchen Gao; Yiqiang Zhan; Gerardo Hermosillo Valadez; Yoshihisa Shinagawa; Dimitris N. Metaxas; Xiang Sean Zhou (ISBI, 2014)

Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation. - Sheng Huang 001; Mingchen Gao; Dan Yang 001; Xiaolei Huang 001; Ahmed M. Elgammal; Xiaohong Zhang 002 (ISBI, 2015)

Highly precise partial volume correction for PET images: An iterative approach via shape consistency. - Ziyue Xu 001; Ulas Bagci; Mingchen Gao; Daniel J. Mollura (ISBI, 2015)

Segmentation label propagation using deep convolutional neural networks and dense conditional random field. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Aaron Wu; Isabella Nogues; Ronald M. Summers; Daniel J. Mollura (ISBI, 2016)

Deep vessel tracking: A generalized probabilistic approach via deep learning. - Aaron Wu; Ziyue Xu 001; Mingchen Gao; Mario Buty; Daniel J. Mollura (ISBI, 2016)

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. - Mario Buty; Ziyue Xu 001; Mingchen Gao; Ulas Bagci; Aaron Wu; Daniel J. Mollura (MICCAI (1), 2016)

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (MLMI@MICCAI, 2016)

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (CoRR, 2017)

Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning. - Mingchen Gao; Ziyue Xu 001; Daniel J. Mollura (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. - Yan Shen 002; Mingchen Gao (MLMI@MICCAI, 2018)

Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network. - Yufan Zhou 001; Zheshuo Li; Hong Zhu 005; Changyou Chen; Mingchen Gao; Kai Xu; Jinhui Xu 001 (BrainLes@MICCAI (1), 2018)

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. - Mingchen Gao; Ulas Bagci; Le Lu 001; Aaron Wu; Mario Buty; Hoo-Chang Shin; Holger Roth; Georgios Z. Papadakis; Adrien Depeursinge; Ronald M. Summers; Ziyue Xu 001; Daniel J. Mollura (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Joint solution for PET image segmentation, denoising, and partial volume correction. - Ziyue Xu 001; Mingchen Gao; Georgios Z. Papadakis; Brian Luna; Sanjay Jain 002; Daniel J. Mollura; Ulas Bagci (Medical Image Anal., 2018)

Brain Tumor Segmentation on MRI with Missing Modalities. - Yan Shen 002; Mingchen Gao (IPMI, 2019)

Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. - Zhanghexuan Ji; Yan Shen 002; Chunwei Ma; Mingchen Gao (MICCAI (3), 2019)

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. - Chunwei Ma; Zhanghexuan Ji; Mingchen Gao (MICCAI (2), 2019)

Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training. - Zahil Shanis; Samuel Gerber; Mingchen Gao; Andinet Enquobahrie (DART/MIL3ID@MICCAI, 2019)

Lighter U-net for segmenting white matter hyperintensities in MR images. - Jun Zhuang; Mingchen Gao; Mohammad Al Hasan (MobiQuitous, 2019)

Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. - Yufan Zhou 001; Zheshuo Li; Chunwei Ma; Changyou Chen; Mingchen Gao; Hong Zhu 005; Jinhui Xu 001 (ISBI, 2020)

An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. - Yan Shen 002; Zhanghexuan Ji; Mingchen Gao (MLMI@MICCAI, 2020)

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. - Zhenyi Wang 001; Tiehang Duan; Le Fang; Qiuling Suo; Mingchen Gao (ICCV, 2021)

Soft Attention Improves Skin Cancer Classification Performance. - Soumyya Kanti Datta; Mohammad Abuzar Shaikh; Sargur N. Srihari; Mingchen Gao (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. - Zhanghexuan Ji; Mohammad Abuzar Shaikh; Dana Moukheiber; Sargur N. Srihari; Yifan Peng 002; Mingchen Gao (MLMI@MICCAI, 2021)

Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition. - Siwei Mai; Qian Li; Qi Zhao; Mingchen Gao (MICCAI (8), 2021)

Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. - Chunwei Ma; Ziyun Huang; Jiayi Xian; Mingchen Gao; Jinhui Xu 001 (UAI, 2021)

LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation. - Mohammad Abuzar Shaikh; Zhanghexuan Ji; Dana Moukheiber; Sargur N. Srihari; Mingchen Gao (CoRR, 2021)

FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation. - Yan Shen 002; Jian Du; Hao Zhang; Benyu Zhang; Zhanghexuan Ji; Mingchen Gao (CoRR, 2021)

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism. - Qiuli Wang 001; Xiaohong Zhang 002; Wei Zhang; Mingchen Gao; Sheng Huang 001; Jian Wang 135; Jiuquan Zhang; Dan Yang 001; Chen Liu 026 (IEEE Trans. Medical Imaging, 2021)

Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism". - Qiuli Wang 001; Xiaohong Zhang 002; Wei Zhang; Mingchen Gao; Sheng Huang 001; Jian Wang 135; Jiuquan Zhang; Dan Yang 001; Chen Liu 026 (IEEE Trans. Medical Imaging, 2021)

Dual Space Multiple Instance Representative Learning for Medical Image Classification. - Xiaoxian Zhang; Sheng Huang 001; Yi Zhang 113; Xiaohong Zhang 002; Mingchen Gao; Chen Liu 026 (BMVC, 2022)

Learning to Learn and Remember Super Long Multi-Domain Task Sequence. - Zhenyi Wang 001; Li Shen 008; Tiehang Duan; Donglin Zhan; Le Fang; Mingchen Gao (CVPR, 2022)

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. - Zhenyi Wang 001; Li Shen 008; Le Fang; Qiuling Suo; Donglin Zhan; Tiehang Duan; Mingchen Gao (ECCV (20), 2022)

Few-shot Learning via Dirichlet Tessellation Ensemble. - Chunwei Ma; Ziyun Huang; Mingchen Gao; Jinhui Xu 001 (ICLR, 2022)

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. - Zhenyi Wang 001; Li Shen 008; Le Fang; Qiuling Suo; Tiehang Duan; Mingchen Gao (ICML, 2022)

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. - Dana Moukheiber; Saurabh Mahindre; Lama Moukheiber; Mira Moukheiber; Song Wang 026; Chunwei Ma; George Shih; Yifan Peng 002; Mingchen Gao (DALI@MICCAI, 2022)

Meta-learning without data via Wasserstein distributionally-robust model fusion. - Zhenyi Wang 001; Xiaoyang Wang; Li Shen 008; Qiuling Suo; Kaiqiang Song; Dong Yu 001; Yan Shen 002; Mingchen Gao (UAI, 2022)

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. - Chunwei Ma; Ziyun Huang; Mingchen Gao; Jinhui Xu 001 (CoRR, 2022)

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (CoRR, 2022)

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (CoRR, 2022)

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. - Yan Shen 002; Jian Du; Han Zhao 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AAMAS, 2023)

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. - Zhenyi Wang 001; Li Shen 008; Donglin Zhan; Qiuling Suo; Yanjun Zhu; Tiehang Duan; Mingchen Gao (CVPR, 2023)

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (ICCV, 2023)

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (ICLR, 2023)

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. - Zhenyi Wang 001; Li Shen 008; Tongliang Liu; Tiehang Duan; Yanjun Zhu; Donglin Zhan; David S. Doermann; Mingchen Gao (NeurIPS, 2023)

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Jingren Zhou 001; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (CoRR, 2023)

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. - Zhenyi Wang 001; Li Shen 008; Tiehang Duan; Qiuling Suo; Le Fang; Wei Liu 005; Mingchen Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Continual Domain Adversarial Adaptation via Double-Head Discriminators. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AISTATS, 2024)

Training A Secure Model Against Data-Free Model Extraction. - Zhenyi Wang 001; Li Shen 008; Junfeng Guo; Tiehang Duan; Siyu Luan; Tongliang Liu; Mingchen Gao (ECCV (79), 2024)

Testing Constraint Checking Implementations via Principled Metamorphic Transformations. - Mingchen Gao; Huiyan Wang 001; Chang Xu (SANER, 2024)

Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities. - Dana Moukheiber; Saurabh Mahindre; Lama Moukheiber; Mira Moukheiber; Mingchen Gao (CoRR, 2024)

Self-Supervised Learning Based Handwriting Verification. - Mihir Chauhan; Mohammad Abuzar Shaikh; Bina Ramamurthy; Mingchen Gao; Siwei Lyu; Sargur N. Srihari (CoRR, 2024)

Vision-Language Model Based Handwriting Verification. - Mihir Chauhan; Abhishek Satbhai; Mohammad Abuzar Hashemi; Mir Basheer Ali; Bina Ramamurthy; Mingchen Gao; Siwei Lyu; Sargur N. Srihari (CoRR, 2024)

A Telemedicine Analytic Framework for Fully and Semi-Automatic Alzheimer's Disease Screening Using Clock Drawing Test. - Wei Bo; Suzanne S. Sullivan; Xiaoyu Zhang; Mingchen Gao; Wenyao Xu (IEEE J. Biomed. Health Informatics, 2024)

Research on the Application and Development of Artificial Intelligence Assisted Education and Teaching under the Perspective of Human-Machine Collaboration. - Caixia Yang; Jie Jiang; Mingchen Gao (ICEIT, 2025)

Unifying domain gap in Federated Learning: A geometric approach. - Mingxi Lei; Meng Ding; Chunwei Ma; Ziyun Huang; Mingchen Gao; Jinhui Xu 001 (Neurocomputing, 2025)

Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions. - Kangxian Xie; Yufei Zhu; Kaiming Kuang; Li Zhang 085; Hongwei Bran Li; Mingchen Gao; Jiancheng Yang (CoRR, 2025)

Model-Agnostic Gender Bias Control for Text-to-Image Generation via Sparse Autoencoder. - Chao Wu; Zhenyi Wang; Kangxian Xie; Naresh Kumar Devulapally; Vishnu Suresh Lokhande; Mingchen Gao (CoRR, 2025)