Kai Yao
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CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ...
Medical Image Analysis 83, 102628, 2023
A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation
K Yao, Z Su, K Huang, X Yang, J Sun, A Hussain, F Coenen
IEEE Journal of Biomedical and Health Informatics 26 (10), 4976-4986, 2022
Rethinking data augmentation for single-source domain generalization in medical image segmentation
Z Su, K Yao, X Yang, K Huang, Q Wang, J Sun
Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2366-2374, 2023
Outpainting by queries
K Yao, P Gao, X Yang, J Sun, R Zhang, K Huang
European Conference on Computer Vision, 153-169, 2022
PointNu-Net: Keypoint-Assisted Convolutional Neural Network for Simultaneous Multi-Tissue Histology Nuclei Segmentation and Classification
K Yao, K Huang, J Sun, A Hussain
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
Analyzing cell-scaffold interaction through unsupervised 3D nuclei segmentation
K Yao, J Sun, K Huang, L Jing, H Liu, D Huang, C Jude
International journal of bioprinting 8 (1), 2022
Noninvasive In Vivo Imaging and Monitoring of 3D-Printed Polycaprolactone Scaffolds Labeled with an NIR Region II Fluorescent Dye
L Jing, M Sun, P Xu, K Yao, J Yang, X Wang, H Liu, M Sun, Y Sun, R Ni, ...
ACS Applied Bio Materials 4 (4), 3189-3202, 2021
Scaffold-A549: A benchmark 3D fluorescence image dataset for unsupervised nuclei segmentation
K Yao, K Huang, J Sun, L Jing, D Huang, C Jude
Cognitive Computation 13, 1603-1608, 2021
Machine learning applications in scaffold based bioprinting
J Sun, K Yao, K Huang, D Huang
Materials Today: Proceedings 70, 17-23, 2022
Electrohydrodynamic jet-printed ultrathin polycaprolactone scaffolds mimicking bruch’s membrane for retinal pigment epithelial tissue engineering
H Liu, F Wu, R Chen, Y Chen, K Yao, Z Liu, BH Parikh, L Jing, T Liu, X Su, ...
International Journal of Bioprinting 8 (3), 2022
Ad-gan: End-to-end unsupervised nuclei segmentation with aligned disentangling training
K Yao, K Huang, J Sun, C Jude
arXiv preprint arXiv:2107.11022, 2021
Improving deep neural network performance by integrating kernelized Min-Max objective
QF Wang, K Yao, R Zhang, A Hussain, K Huang
Neurocomputing 408, 82-90, 2020
Machine learning and 3D bioprinting
J Sun, K Yao, J An, L Jing, K Huang, D Huang
international journal of bioprinting 9 (4), 2023
A Comparison of Applying Image Processing and Deep Learning in Acne Region Extraction
C Zhang, G Huang, K Yao, M Leach, J Sun, K Huang, X Zhou, L Yuan
Journal of Image and Graphics 10 (4), 2022
Machine Learning Methods in Skin Disease Recognition: A Systematic Review
J Sun, K Yao, G Huang, C Zhang, M Leach, K Huang, X Yang
Processes 11 (4), 1003, 2023
Improving Deep Neural Network Performance with Kernelized Min-Max Objective
K Yao, K Huang, R Zhang, A Hussain
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
Unleashing the Power of Prompt-driven Nucleus Instance Segmentation
Z Shui, Y Zhang, K Yao, C Zhu, Y Sun, L Yang
arXiv preprint arXiv:2311.15939, 2023
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation
Z Su, K Yao, X Yang, Q Wang, Y Yan, J Sun, K Huang
IEEE Journal of Biomedical and Health Informatics, 2023
Unraveling Batch Normalization for Realistic Test-Time Adaptation
Z Su, J Guo, K Yao, X Yang, Q Wang, K Huang
arXiv preprint arXiv:2312.09486, 2023
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation
K Yao, Z Su, X Yang, J Sun, K Huang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
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