Mingchen Gao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 65

Top Topics

Top Venues

IEEE Trans. Medical Imaging

Publications

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
Continual Domain Adversarial Adaptation via Double-Head Discriminators. CoRR (2024)
Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
Continual Domain Adversarial Adaptation via Double-Head Discriminators. AISTATS (2024)
Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Mingchen Gao
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. CoRR (2024)
Mingchen Gao, Huiyan Wang, Chang Xu
Testing Constraint Checking Implementations via Principled Metamorphic Transformations. SANER (2024)
Mihir Chauhan, Mohammad Abuzar Shaikh, Bina Ramamurthy, Mingchen Gao, Siwei Lyu, Sargur N. Srihari
Self-Supervised Learning Based Handwriting Verification. CoRR (2024)
Mihir Chauhan, Abhishek Satbhai, Mohammad Abuzar Hashemi, Mir Basheer Ali, Bina Ramamurthy, Mingchen Gao, Siwei Lyu, Sargur N. Srihari
Vision-Language Model Based Handwriting Verification. CoRR (2024)
Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. AAMAS (2023)
Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR (2023)
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS (2023)
Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. ICCV (2023)
Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. CoRR (2023)
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. ICLR (2023)
Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. DALI@MICCAI (2022)
Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR (2022)
Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. CoRR (2022)
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR (2022)
Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. CoRR (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML (2022)
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. CoRR (2022)
Yan Shen, Fan Yang, Mingchen Gao, Wen Dong
Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model. CoRR (2022)
Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
Few-shot Learning via Dirichlet Tessellation Ensemble. ICLR (2022)
Xiaoxian Zhang, Sheng Huang, Yi Zhang, Xiaohong Zhang, Mingchen Gao, Chen Liu
Dual Space Multiple Instance Representative Learning for Medical Image Classification. BMVC (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR (2022)
Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao
Soft Attention Improves Skin Cancer Classification Performance. iMIMIC/TDA4MedicalData@MICCAI (2021)
Mohammad Abuzar Shaikh, Zhanghexuan Ji, Dana Moukheiber, Sargur N. Srihari, Mingchen Gao
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation. CoRR (2021)
Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. CoRR (2021)
Yan Shen, Zhanghexuan Ji, Mingchen Gao
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation. CoRR (2021)
Siwei Mai, Qian Li, Qi Zhao, Mingchen Gao
Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition. MICCAI (8) (2021)
Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. MLMI@MICCAI (2021)
Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao
Soft-Attention Improves Skin Cancer Classification Performance. CoRR (2021)
Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. UAI (2021)
Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization. CoRR (2021)
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV (2021)
Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu
Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism". IEEE Trans. Medical Imaging 40 (12) (2021)
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR (2021)
Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu
Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism. IEEE Trans. Medical Imaging 40 (9) (2021)
Yan Shen, Jian Du, Hao Zhang, Benyu Zhang, Zhanghexuan Ji, Mingchen Gao
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation. CoRR (2021)
Yan Shen, Zhanghexuan Ji, Mingchen Gao
An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. MLMI@MICCAI (2020)
Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu
Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. ISBI (2020)
Yan Shen, Mingchen Gao
Brain Tumor Segmentation on MRI with Missing Modalities. IPMI (2019)
Yan Shen, Mingchen Gao
Brain Tumor Segmentation on MRI with Missing Modalities. CoRR (2019)
Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie
Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training. DART/MIL3ID@MICCAI (2019)
Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. CoRR (2019)
Chunwei Ma, Zhanghexuan Ji, Mingchen Gao
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. MICCAI (2) (2019)
Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao
Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. MICCAI (3) (2019)
Jun Zhuang, Mingchen Gao, Mohammad A. I. Hasan
Lighter U-net for segmenting white matter hyperintensities in MR images. MobiQuitous (2019)
Chunwei Ma, Zhanghexuan Ji, Mingchen Gao
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. CoRR (2019)
Yan Shen, Mingchen Gao
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. CoRR (2018)
Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci
Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. 46 (2018)
Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (1) (2018)
Yan Shen, Mingchen Gao
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. MLMI@MICCAI (2018)
Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu
Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network. BrainLes@MICCAI (1) (2018)
Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. CoRR (2017)
Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI (1) (2016)
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging 35 (5) (2016)
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR (2016)
Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura
Deep vessel tracking: A generalized probabilistic approach via deep learning. ISBI (2016)
Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features. CoRR (2016)
Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura
Segmentation label propagation using deep convolutional neural networks and dense conditional random field. ISBI (2016)
Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. MLMI@MICCAI (2016)
Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura
Highly precise partial volume correction for PET images: An iterative approach via shape consistency. ISBI (2015)
Sheng Huang, Mingchen Gao, Dan Yang, Xiaolei Huang, Ahmed M. Elgammal, Xiaohong Zhang
Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation. ISBI (2015)
Mingchen Gao, Yiqiang Zhan, Gerardo Hermosillo Valadez, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou
Saliency-based rotation invariant descriptor for wrist detection in whole body CT images. ISBI (2014)
Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris N. Metaxas, Leon Axel
Morphological analysis of the papillary muscles and the trabeculae. ISBI (2014)
Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel
Practical patient-specific cardiac blood flow simulations using SPH. ISBI (2013)
Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas
3D anatomical shape atlas construction using mesh quality preserved deformable models. Comput. Vis. Image Underst. 117 (9) (2013)
Mingchen Gao, Rui Shi, Shaoting Zhang, Wei Zeng, Zhen Qian, Xianfeng David Gu, Dimitris N. Metaxas, Leon Axel
High resolution cardiac shape registration using Ricci flow. ISBI (2013)
Lin Zhong, Shaoting Zhang, Mingchen Gao, Junzhou Huang, Zhen Qian, Dimitris N. Metaxas, Leon Axel
Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction. ISBI (2013)
Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Dimitris N. Metaxas, Leon Axel
Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles. IPMI (2013)
Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas
3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models. MeshMed (2012)
Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas
Simplified Labeling Process for Medical Image Segmentation. MICCAI (2) (2012)
Chenren Xu, Mingchen Gao, Bernhard Firner, Yanyong Zhang, Richard E. Howard, Jun Li
Towards robust device-free passive localization through automatic camera-assisted recalibration. SenSys (2012)
Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas
Abnormal detection using interaction energy potentials. CVPR (2011)
Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas, Leon Axel
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI. FIMH (2011)
Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel
Using High Resolution Cardiac CT Data to Model and Visualize Patient-Specific Interactions between Trabeculae and Blood Flow. MICCAI (1) (2011)
Mingchen Gao, Junzhou Huang, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel
4D Cardiac Reconstruction Using High Resolution CT Images. FIMH (2011)