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Kai Ma
Kai Ma
Tencent
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Title
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Cited by
Year
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
11462018
Med3d: Transfer learning for 3d medical image analysis
S Chen, K Ma, Y Zheng
arXiv preprint arXiv:1904.00625, 2019
2122019
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
942019
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
912019
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
772021
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
752020
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
742017
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
692017
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
652016
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
572020
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
562020
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
542021
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
542021
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
542021
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
532019
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
512020
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
492020
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
422020
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification
H Zhao, Q Zheng, K Ma, H Li, Y Zheng
IEEE transactions on neural networks and learning systems, 2020
412020
Instance-aware Self-supervised Learning for Nuclei Segmentation
X Xie, J Chen, Y Li, L Shen, K Ma, Y Zheng
International Conference on Medical Image Computing and Computer-Assisted …, 2020
412020
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