| 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 | 6307 | 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, ... | 302 | 2016 |
| Abnormal detection using interaction energy potentials X Cui, Q Liu, M Gao, DN Metaxas CVPR 2011, 3161-3167, 2011 | 291 | 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 | 132 | 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 | 101 | 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 | 96 | 2016 |
| Brain tumor segmentation on MRI with missing modalities Y Shen, M Gao Information Processing in Medical Imaging: 26th International Conference …, 2019 | 83 | 2019 |
| 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 | 81 | 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 | 71 | 2016 |
| 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 |
| 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 | 58 | 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 | 58 | 2018 |
| 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 | 48 | 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 |
| 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 | 43 | 2022 |
| 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 |
| 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 | 29 | 2012 |
| 4D cardiac reconstruction using high resolution CT images M Gao, J Huang, S Zhang, Z Qian, S Voros, D Metaxas, L Axel Functional Imaging and Modeling of the Heart: 6th International Conference …, 2011 | 28 | 2011 |
| Intramodality domain adaptation using self ensembling and adversarial training Z Shanis, S Gerber, M Gao, A Enquobahrie Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 27 | 2019 |
| 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 | 26* | 2023 |
Ziyue XuNVIDIAVerified email at nvidia.com
