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Mingchen Gao
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2020 – today
- 2024
- [c47]Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao:
Continual Domain Adversarial Adaptation via Double-Head Discriminators. AISTATS 2024: 2584-2592 - [c46]Mingchen Gao, Huiyan Wang, Chang Xu:
Testing Constraint Checking Implementations via Principled Metamorphic Transformations. SANER 2024: 884-895 - [i24]Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao:
Continual Domain Adversarial Adaptation via Double-Head Discriminators. CoRR abs/2402.03588 (2024) - [i23]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 abs/2403.18196 (2024) - [i22]Mihir Chauhan, Mohammad Abuzar Shaikh, Bina Ramamurthy, Mingchen Gao, Siwei Lyu, Sargur N. Srihari:
Self-Supervised Learning Based Handwriting Verification. CoRR abs/2405.18320 (2024) - [i21]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 abs/2407.21788 (2024) - 2023
- [j7]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): 14337-14352 (2023) - [c45]Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao:
FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. AAMAS 2023: 1808-1816 - [c44]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: 24521-24531 - [c43]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: 21083-21094 - [c42]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 - [c41]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 - [i20]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 abs/2302.00162 (2023) - 2022
- [c40]Xiaoxian Zhang, Sheng Huang, Yi Zhang, Xiaohong Zhang, Mingchen Gao, Chen Liu:
Dual Space Multiple Instance Representative Learning for Medical Image Classification. BMVC 2022: 768 - [c39]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: 7972-7982 - [c38]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: 221-238 - [c37]Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu:
Few-shot Learning via Dirichlet Tessellation Ensemble. ICLR 2022 - [c36]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML 2022: 22985-22998 - [c35]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: 112-122 - [c34]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: 2045-2055 - [i19]Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu:
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. CoRR abs/2202.02471 (2022) - [i18]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 abs/2205.02371 (2022) - [i17]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR abs/2207.07256 (2022) - [i16]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 abs/2207.14202 (2022) - [i15]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 abs/2209.01501 (2022) - 2021
- [j6]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): 2343-2353 (2021) - [j5]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): 3969 (2021) - [c33]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV 2021: 8927-8937 - [c32]Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao:
Soft Attention Improves Skin Cancer Classification Performance. iMIMIC/TDA4MedicalData@MICCAI 2021: 13-23 - [c31]Siwei Mai, Qian Li, Qi Zhao, Mingchen Gao:
Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition. MICCAI (8) 2021: 97-107 - [c30]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: 110-119 - [c29]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: 75-85 - [i14]Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao:
Soft-Attention Improves Skin Cancer Classification Performance. CoRR abs/2105.03358 (2021) - [i13]Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu:
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization. CoRR abs/2106.14662 (2021) - [i12]Yan Shen, Zhanghexuan Ji, Mingchen Gao:
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation. CoRR abs/2109.00622 (2021) - [i11]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 abs/2109.01949 (2021) - [i10]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 abs/2109.04993 (2021) - [i9]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR abs/2109.14120 (2021) - [i8]Yan Shen, Jian Du, Hao Zhang, Benyu Zhang, Zhanghexuan Ji, Mingchen Gao:
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation. CoRR abs/2110.08477 (2021) - 2020
- [c28]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: 1-5 - [c27]Yan Shen, Zhanghexuan Ji, Mingchen Gao:
An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. MLMI@MICCAI 2020: 532-541
2010 – 2019
- 2019
- [c26]Yan Shen, Mingchen Gao:
Brain Tumor Segmentation on MRI with Missing Modalities. IPMI 2019: 417-428 - [c25]Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie:
Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training. DART/MIL3ID@MICCAI 2019: 28-36 - [c24]Chunwei Ma, Zhanghexuan Ji, Mingchen Gao:
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. MICCAI (2) 2019: 128-136 - [c23]Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao:
Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. MICCAI (3) 2019: 175-183 - [c22]Jun Zhuang, Mingchen Gao, Mohammad Al Hasan:
Lighter U-net for segmenting white matter hyperintensities in MR images. MobiQuitous 2019: 535-539 - [i7]Yan Shen, Mingchen Gao:
Brain Tumor Segmentation on MRI with Missing Modalities. CoRR abs/1904.07290 (2019) - [i6]Chunwei Ma, Zhanghexuan Ji, Mingchen Gao:
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. CoRR abs/1909.09716 (2019) - [i5]Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao:
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. CoRR abs/1911.02014 (2019) - 2018
- [j4]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): 1-6 (2018) - [j3]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: 229-243 (2018) - [c21]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: 208-217 - [c20]Yan Shen, Mingchen Gao:
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. MLMI@MICCAI 2018: 389-397 - [i4]Yan Shen, Mingchen Gao:
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. CoRR abs/1808.05744 (2018) - 2017
- [p2]Mingchen Gao, Ziyue Xu, Daniel J. Mollura:
Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 97-111 - [p1]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 113-136 - [i3]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 abs/1701.05616 (2017) - 2016
- [j2]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): 1285-1298 (2016) - [c19]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: 1265-1268 - [c18]Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura:
Deep vessel tracking: A generalized probabilistic approach via deep learning. ISBI 2016: 1363-1367 - [c17]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: 147-155 - [c16]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: 662-670 - [i2]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 abs/1602.03409 (2016) - [i1]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 abs/1609.06668 (2016) - 2015
- [c15]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: 1196-1199 - [c14]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: 1556-1559 - 2014
- [c13]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: 117-120 - [c12]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: 373-376 - 2013
- [j1]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): 1061-1071 (2013) - [c11]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: 184-195 - [c10]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: 488-491 - [c9]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: 820-823 - [c8]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: 832-835 - 2012
- [c7]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: 12-21 - [c6]Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas:
Simplified Labeling Process for Medical Image Segmentation. MICCAI (2) 2012: 387-394 - [c5]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: 339-340 - 2011
- [c4]Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas:
Abnormal detection using interaction energy potentials. CVPR 2011: 3161-3167 - [c3]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: 88-94 - [c2]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: 153-160 - [c1]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: 468-475
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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