Kai Ma
Orcid: 0000-0003-2805-3692Affiliations:
- Tencent, Jarvis Lab, Malata Building, Shenzhen, China
- Tencent YouTu X- Lab, Shenzhen, China
According to our database1,
Kai Ma
authored at least 97 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, April, 2024
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training.
IEEE Trans. Medical Imaging, January, 2024
2023
J. Vis. Commun. Image Represent., December, 2023
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Medical Image Anal., October, 2023
CoRR, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging, 2022
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint.
IEEE Trans. Medical Imaging, 2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
Medical Image Anal., 2022
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.
CoRR, 2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.
CoRR, 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.
IEEE Trans. Medical Imaging, 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Cogn. Dev. Syst., 2021
S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Medical Image Anal., 2021
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description.
Medical Image Anal., 2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship.
CoRR, 2021
CoRR, 2021
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration.
CoRR, 2021
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint.
CoRR, 2021
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures.
CoRR, 2021
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.
IEEE J. Biomed. Health Informatics, 2020
A Deep Learning Method for Improving the Classification Accuracy of SSMVEP-Based BCI.
IEEE Trans. Circuits Syst., 2020
Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.
Medical Image Anal., 2020
Medical Image Anal., 2020
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint.
CoRR, 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
MI<sup>2</sup>GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.
CoRR, 2019
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence.
CoRR, 2019
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019