Mingchen Gao

According to our database, Mingchen Gao authored at least 62 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Continual Domain Adversarial Adaptation via Double-Head Discriminators.

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.

Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao

IEEE Trans. Pattern Anal. Mach. Intell., December, 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, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin

CoRR, 2023

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.

Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning.

Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

Proceedings of the Eleventh International Conference on Learning Representations, 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, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.

Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation.

Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning.

Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

CoRR, 2022

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning.

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

CoRR, 2022

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach.

Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

CoRR, 2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.

Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays.

Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao

Proceedings of the International Conference on Machine Learning, 2022

Few-shot Learning via Dirichlet Tessellation Ensemble.

Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Learn and Remember Super Long Multi-Domain Task Sequence.

Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual Space Multiple Instance Representative Learning for Medical Image Classification.

Xiaoxian Zhang, Sheng Huang, Yi Zhang, Xiaohong Zhang, Mingchen Gao, Chen Liu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism".

Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu

IEEE Trans. Medical Imaging, 2021

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism.

Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu

IEEE Trans. Medical Imaging, 2021

FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation.

Yan Shen, Jian Du, Hao Zhang, Benyu Zhang, Zhanghexuan Ji, Mingchen Gao

CoRR, 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

Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization.

Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition.

Siwei Mai, Qian Li, Qi Zhao, Mingchen Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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, Mingchen Gao

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Soft Attention Improves Skin Cancer Classification Performance.

Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.

Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation.

Yan Shen, Zhanghexuan Ji, Mingchen Gao

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label.

Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Lighter U-net for segmenting white matter hyperintensities in MR images.

Jun Zhuang, Mingchen Gao, Mohammad Al Hasan

Proceedings of the MobiQuitous 2019, 2019

Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training.

Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data.

Chunwei Ma, Zhanghexuan Ji, Mingchen Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation.

Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Brain Tumor Segmentation on MRI with Missing Modalities.

Yan Shen, Mingchen Gao

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Joint solution for PET image segmentation, denoising, and partial volume correction.

Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci

Medical Image Anal., 2018

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.

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

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network.

Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization.

Yan Shen, Mingchen Gao

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

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, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning.

Mingchen Gao, Ziyue Xu, Daniel J. Mollura

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling.

Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura

CoRR, 2017

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, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers

IEEE Trans. Medical Imaging, 2016

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection.

Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features.

Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep vessel tracking: A generalized probabilistic approach via deep learning.

Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Segmentation label propagation using deep convolutional neural networks and dense conditional random field.

Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Highly precise partial volume correction for PET images: An iterative approach via shape consistency.

Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation.

Sheng Huang, Mingchen Gao, Dan Yang, Xiaolei Huang, Ahmed M. Elgammal, Xiaohong Zhang

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

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

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Morphological analysis of the papillary muscles and the trabeculae.

Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris N. Metaxas, Leon Axel

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

3D anatomical shape atlas construction using mesh quality preserved deformable models.

Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas

Comput. Vis. Image Underst., 2013

Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction.

Lin Zhong, Shaoting Zhang, Mingchen Gao, Junzhou Huang, Zhen Qian, Dimitris N. Metaxas, Leon Axel

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Practical patient-specific cardiac blood flow simulations using SPH.

Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

High resolution cardiac shape registration using Ricci flow.

Mingchen Gao, Rui Shi, Shaoting Zhang, Wei Zeng, Zhen Qian, Xianfeng David Gu, Dimitris N. Metaxas, Leon Axel

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles.

Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Dimitris N. Metaxas, Leon Axel

Proceedings of the Information Processing in Medical Imaging, 2013

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

Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, 2012

Simplified Labeling Process for Medical Image Segmentation.

Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

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, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI.

Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas, Leon Axel

Proceedings of the Functional Imaging and Modeling of the Heart, 2011

4D Cardiac Reconstruction Using High Resolution CT Images.

Mingchen Gao, Junzhou Huang, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel

Proceedings of the Functional Imaging and Modeling of the Heart, 2011

Abnormal detection using interaction energy potentials.

Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011