Journal Club Papers

Paper 1: Kather J, Weis CA, Bianconi F, et al. Multi-class texture analysis in colorectal cancer histology. Sci Rep 6, 27988 (2016).   Paper 2: Kather JN, Krisam J, Charoentong P, Luedde T, Herpel E, et al. Predicting survival from colorectal …

For the November 7th IDiA/INVent Journal Club meeting, the IDiA lab is inviting prospective postdoc Aroof Aimen, a PhD Student at the Indian Institute of Technology, Ropar, India to present on some of her work. …

He S, Fent, Y, Grant PE, Ou Y. Segmentation ability map: Interpret deep features for medical image segmentation. Medical Image Analysis 84, 102726 (2023)

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 …