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Kexin Ding
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Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer
K Ding, Q Liu, E Lee, M Zhou, A Lu, S Zhang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
262020
A large-scale synthetic pathological dataset for deep learning-enabled segmentation of breast cancer
K Ding, M Zhou, H Wang, O Gevaert, D Metaxas, S Zhang
Scientific Data 10 (1), 231, 2023
232023
Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study
K Ding, M Zhou, H Wang, S Zhang, DN Metaxas
The Lancet Digital Health 4 (11), e787-e795, 2022
202022
Graph convolutional networks for multi-modality medical imaging: Methods, architectures, and clinical applications
K Ding, M Zhou, Z Wang, Q Liu, CW Arnold, S Zhang, DN Metaxas
arXiv preprint arXiv:2202.08916, 2022
192022
Data-centric foundation models in computational healthcare: A survey
Y Zhang, J Gao, Z Tan, L Zhou, K Ding, M Zhou, S Zhang, D Wang
arXiv preprint arXiv:2401.02458, 2024
82024
Pathology-and-genomics multimodal transformer for survival outcome prediction
K Ding, M Zhou, DN Metaxas, S Zhang
International Conference on Medical Image Computing and Computer-Assisted …, 2023
62023
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. arXiv 2022
K Ding, M Zhou, Z Wang, Q Liu, CW Arnold, S Zhang, DN Metaxas
arXiv preprint arXiv:2202.08916, 0
5
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