| Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao, D Mollura, ... IEEE transactions on medical imaging 35 (5), 1285-1298, 2016 | 6556 | 2016 |
| Holistic Classification of CT Attenuation Patterns for Interstitial Lung Diseases via Deep Convolutional Neural Networks M Gao, U Bagci, L Lu, A Wu, M Buty, HC Shin, H Roth, GZ Papadakis, ... | 313 | 2016 |
| Abnormal detection using interaction energy potentials X Cui, Q Liu, M Gao, DN Metaxas CVPR 2011, 3161-3167, 2011 | 297 | 2011 |
| Soft attention improves skin cancer classification performance SK Datta, MA Shaikh, SN Srihari, M Gao Interpretability of Machine Intelligence in Medical Image Computing, and …, 2021 | 161 | 2021 |
| Holistic brain tumor screening and classification based on densenet and recurrent neural network Y Zhou, Z Li, H Zhu, C Chen, M Gao, K Xu, J Xu Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 113 | 2019 |
| Deep vessel tracking: A generalized probabilistic approach via deep learning A Wu, Z Xu, M Gao, M Buty, DJ Mollura 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1363-1367, 2016 | 97 | 2016 |
| Scribble-based hierarchical weakly supervised learning for brain tumor segmentation Z Ji, Y Shen, C Ma, M Gao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 96 | 2019 |
| Brain tumor segmentation on MRI with missing modalities Y Shen, M Gao Information Processing in Medical Imaging: 26th International Conference …, 2019 | 93 | 2019 |
| Characterization of lung nodule malignancy using hybrid shape and appearance features M Buty, Z Xu, M Gao, U Bagci, A Wu, DJ Mollura Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 72 | 2016 |
| Neural style transfer improves 3d cardiovascular mr image segmentation on inconsistent data C Ma, Z Ji, M Gao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 63 | 2019 |
| Dynamic routing on deep neural network for thoracic disease classification and sensitive area localization Y Shen, M Gao Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 62 | 2018 |
| Segmentation label propagation using deep convolutional neural networks and dense conditional random field M Gao, Z Xu, L Lu, A Wu, I Nogues, RM Summers, DJ Mollura 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1265--1268, 2016 | 61 | 2016 |
| Improving task-free continual learning by distributionally robust memory evolution Z Wang, L Shen, L Fang, Q Suo, T Duan, M Gao International conference on machine learning, 22985-22998, 2022 | 52 | 2022 |
| Joint solution for PET image segmentation, denoising, and partial volume correction Z Xu, M Gao, GZ Papadakis, B Luna, S Jain, DJ Mollura, U Bagci Medical image analysis 46, 229-243, 2018 | 49 | 2018 |
| Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles M Gao, C Chen, S Zhang, Z Qian, D Metaxas, L Axel Information Processing in Medical Imaging: 23rd International Conference …, 2013 | 44 | 2013 |
| Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow S Kulp, M Gao, S Zhang, Z Qian, S Voros, D Metaxas, L Axel Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 38 | 2011 |
| Continual segment: Towards a single, unified and non-forgetting continual segmentation model of 143 whole-body organs in ct scans Z Ji, D Guo, P Wang, K Yan, L Lu, M Xu, Q Wang, J Ge, M Gao, X Ye, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 31* | 2023 |
| Learning to learn and remember super long multi-domain task sequence Z Wang, L Shen, T Duan, D Zhan, L Fang, M Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| Towards robust device-free passive localization through automatic camera-assisted recalibration C Xu, M Gao, B Firner, Y Zhang, R Howard, J Li Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems …, 2012 | 31 | 2012 |
| Realistic lung nodule synthesis with multi-target co-guided adversarial mechanism Q Wang, X Zhang, W Zhang, M Gao, S Huang, J Wang, J Zhang, D Yang, ... IEEE Transactions on Medical Imaging 40 (9), 2343-2353, 2021 | 30 | 2021 |
Ziyue XuNVIDIAVerified email at nvidia.com
Daniel MolluraRAD-AID InternationalVerified email at rad-aid.org
Le LuAlibaba DAMO Academy, IEEE Fellow, MICCAI Board Member (2021-2024)Verified email at alibaba-inc.com
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerified email at nih.gov
Hoo-Chang ShinNVIDIAVerified email at nvidia.comHolger R. RothNVIDIAVerified email at nvidia.com
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Jianhua YaoTencent, IEEE Fellow, AIMBE FellowVerified email at tencent.com
Shaoting ZhangShanghai AI Lab; SenseTime ResearchVerified email at pjlab.org.cn
Ulas BagciNorthwestern UniversityVerified email at northwestern.edu
Leon AxelNYU School of MedicineVerified email at nyumc.org
Zhen QianUnited ImagingVerified email at cri-united-imaging.com
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu
Adam P. HarrisonDirector of Research Operations, Riverain TechnologyVerified email at riveraintech.com
Chao ChenStony Brook UniversityVerified email at stonybrook.edu
Sharon X. HuangDavid Reese Professor in College of Information Sciences and Technology at Penn State UniversityVerified email at psu.edu
Chenren Xu (许辰人)Peking UniversityVerified email at pku.edu.cn
Mustafa Gokhan UzunbasResearch Scientist at Facebook AIVerified email at fb.com
