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 | 26 | 2020 |
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 | 25 | 2023 |
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 | 23 | 2022 |
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 | 19 | 2022 |
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 | 11 | 2024 |
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 | 6 | 2023 |
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 | |