acmalik

Laurie M, Lu J. Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE. arXiv preprint arXiv: 2308.01362. 2023 Aug 2.

Jiang, Y., Zhang, Z., Wang, W. et al. Biology-guided deep learning predicts prognosis and cancer immunotherapy response. Nat Commun 14, 5135 (2023).

Zhou, Y., Chia, M.A., Wagner, S.K. et al. A foundation model for generalizable disease detection from retinal images. Nature (2023).

Li Z, Jiang Y, Lu M, Li R, Xia Y. Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. IEEE Trans Med Imaging. 2023 Sep; 42(9):2678-2689.

Brocki L, Chung NC. Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models. Cancers (Basel). 2023 Apr 25;15(9):2459. doi: 10.3390/cancers15092459.   For further details about the underlying Concept Bottleneck Model, Gustavo has provided …

Jiang X, Zhao H, Lester Saldanha O, Nebelung S, Kuhl C, Amygdalos I, Arke Lang S, Wu X, Meng X, Truhn D, Nikolas Kather J, Ke J. June 2023. An MRI Deep Learning Model Predicts …

Zhao B, Li T, Yan Z, Yang Y, Shu J, Yang X, Wang X, Luo T, Tang J, Xiong D, et al. 2023. Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images. Science 380 …