| 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 | 7209 | 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, ... | 332 | 2016 |
| Abnormal detection using interaction energy potentials X Cui, Q Liu, M Gao, DN Metaxas CVPR 2011, 3161-3167, 2011 | 302 | 2011 |
| Soft attention improves skin cancer classification performance SK Datta, MA Shaikh, SN Srihari, M Gao International Workshop on Interpretability of Machine Intelligence in …, 2021 | 196 | 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 International MICCAI brainlesion workshop, 208-217, 2018 | 126 | 2018 |
| Brain tumor segmentation on MRI with missing modalities Y Shen, M Gao International conference on information processing in medical imaging, 417-428, 2019 | 122 | 2019 |
| Scribble-based hierarchical weakly supervised learning for brain tumor segmentation Z Ji, Y Shen, C Ma, M Gao International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 104 | 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 | 101 | 2016 |
| Characterization of lung nodule malignancy using hybrid shape and appearance features M Buty, Z Xu, M Gao, U Bagci, A Wu, DJ Mollura International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 76 | 2016 |
| Dynamic routing on deep neural network for thoracic disease classification and sensitive area localization Y Shen, M Gao International workshop on machine learning in medical imaging, 389-397, 2018 | 75 | 2018 |
| Neural style transfer improves 3d cardiovascular mr image segmentation on inconsistent data C Ma, Z Ji, M Gao International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 65 | 2019 |
| 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 | 62 | 2022 |
| 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 | 62 | 2016 |
| 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 | 55 | 2018 |
| 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 | 45* | 2023 |
| 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 International Conference on Information Processing in Medical Imaging, 184-195, 2013 | 45 | 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 International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 41 | 2011 |
| 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 | 40 | 2022 |
| 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 | 38 | 2021 |
| Improving joint learning of chest x-ray and radiology report by word region alignment Z Ji, MA Shaikh, D Moukheiber, SN Srihari, Y Peng, M Gao International workshop on machine learning in medical imaging, 110-119, 2021 | 33 | 2021 |
Ziyue XuNVIDIAVerified email at nvidia.com
