| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 946 | 2018 |
| Med3d: Transfer learning for 3d medical image analysis S Chen, K Ma, Y Zheng arXiv preprint arXiv:1904.00625, 2019 | 168 | 2019 |
| Self-supervised feature learning for 3d medical images by playing a rubik’s cube X Zhuang, Y Li, Y Hu, K Ma, Y Yang, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 70 | 2019 |
| X2CT-GAN: reconstructing CT from biplanar X-rays with generative adversarial networks X Ying, H Guo, K Ma, J Wu, Z Weng, Y Zheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 70 | 2019 |
| Multimodal image registration with deep context reinforcement learning K Ma, J Wang, V Singh, B Tamersoy, YJ Chang, A Wimmer, T Chen International conference on medical image computing and computer-assisted …, 2017 | 66 | 2017 |
| Depthsynth: Real-time realistic synthetic data generation from cad models for 2.5 d recognition B Planche, Z Wu, K Ma, S Sun, S Kluckner, O Lehmann, T Chen, A Hutter, ... 2017 International Conference on 3D Vision (3DV), 1-10, 2017 | 59 | 2017 |
| Method and system for constructing personalized avatars using a parameterized deformable mesh K Ma, T Chen, VK Singh, YJ Chang, M Wels, G Soza US Patent 9,524,582, 2016 | 56 | 2016 |
| Rubik’s cube+: A self-supervised feature learning framework for 3d medical image analysis J Zhu, Y Li, Y Hu, K Ma, SK Zhou, Y Zheng Medical image analysis 64, 101746, 2020 | 52 | 2020 |
| Multi-task neural networks with spatial activation for retinal vessel segmentation and artery/vein classification W Ma, S Yu, K Ma, J Wang, X Ding, Y Zheng International conference on medical image computing and computer-assisted …, 2019 | 43 | 2019 |
| Efficient and Effective Training of COVID-19 Classification Networks with Self-supervised Dual-track Learning to Rank Y Li, W Dong, J Chen, S Cao, H Zhou, Y Zhu, J Wu, L Lan, W Sun, T Qian, ... IEEE journal of biomedical and health informatics, 2020 | 42 | 2020 |
| A channel-fused dense convolutional network for EEG-based emotion recognition Z Gao, X Wang, Y Yang, Y Li, K Ma, G Chen IEEE Transactions on Cognitive and Developmental Systems, 2020 | 40 | 2020 |
| Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation Y Li, J Chen, X Xie, K Ma, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 38 | 2020 |
| Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning YQ Jiang, SE Cao, S Cao, JN Chen, GY Wang, WQ Shi, YN Deng, ... Journal of cancer research and clinical oncology 147 (3), 821-833, 2021 | 37 | 2021 |
| Calibrated RGB-D salient object detection W Ji, J Li, S Yu, M Zhang, Y Piao, S Yao, Q Bi, K Ma, Y Zheng, H Lu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 37 | 2021 |
| Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations HY Zhou, S Yu, C Bian, Y Hu, K Ma, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 36 | 2020 |
| Enhancing place recognition using joint intensity-depth analysis and synthetic data E Sizikova, VK Singh, B Georgescu, M Halber, K Ma, T Chen European Conference on Computer Vision, 901-908, 2016 | 35 | 2016 |
| Complex networks and deep learning for EEG signal analysis Z Gao, W Dang, X Wang, X Hong, L Hou, K Ma, M Perc Cognitive Neurodynamics 15 (3), 369-388, 2021 | 34 | 2021 |
| LT-Net: Label transfer by learning reversible voxel-wise correspondence for one-shot medical image segmentation S Wang, S Cao, D Wei, R Wang, K Ma, L Wang, D Meng, Y Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 33 | 2020 |
| Learning calibrated medical image segmentation via multi-rater agreement modeling W Ji, S Yu, J Wu, K Ma, C Bian, Q Bi, J Li, H Liu, L Cheng, Y Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
| Attentive CT lesion detection using deep pyramid inference with multi-scale booster Q Shao, L Gong, K Ma, H Liu, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 31 | 2019 |
Yefeng ZhengTencent, Shenzhen, ChinaVerified email at tencent.com
