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Multi-modal learning that combines pathological images with genomic data has significantly enhanced the accuracy of survival prediction.
Survival analysis a self-learning text
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Self-normalizing neural networks
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Integrative analysis of pathological images and multi-dimensional genomic data for early-stage cancer prognosis
W. Shao, Z. Han, J. Cheng, L. Cheng, T. Wang, L. Sun, Z. Lu, J. Zhang, D. Zhang, and K. Huang · 2019
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Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis
R. J. Chen, M. Y. Lu, J. Wang, D. F. Williamson, S. J. Rodig, N. I. Lindeman, and F. Mahmood · 2020
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Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
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Cancer prognosis with shallow tumor rna sequencing
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Bias in cross-entropy-based training of deep survival networks
S. G. Zadeh and M. Schmid · 2020
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Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks
R. J. Chen, M. Y. Lu, M. Shaban, C. Chen, T. Y. Chen, D. F. Williamson, and F. Mahmood · 2021
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Efficiently modeling long sequences with structured state spaces
A. Gu, K. Goel, and C. Ré · 2021
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Genewalk identifies relevant gene functions for a biological context using network representation learning
R. Ietswaart, B. M. Gyori, J. A. Bachman, P. K. Sorger, and L. S. Churchman · 2021
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Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning
B. Li, Y. Li, and K. W. Eliceiri · 2021
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Data-efficient and weakly supervised computational pathology on whole-slide images
M. Y. Lu, D. F. Williamson, T. Y. Chen, R. J. Chen, M. Barbieri, and F. Mahmood · 2021
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Transmil: Transformer based correlated multiple instance learning for whole slide image classification
Z. Shao, H. Bian, Y. Chen, Y. Wang, J. Zhang, X. Ji, et al · 2021
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Multimodal fusion using sparse cca for breast cancer survival prediction
V. Subramanian, T. Syeda-Mahmood, and M. N. Do · 2021
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Mamba: Linear-time sequence modeling with selective state spaces
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Multimodal recurrence scoring system for prediction of clear cell renal cell carcinoma outcome: a discovery and validation study
C.-P. Gui, Y.-H. Chen, H.-W. Zhao, J.-Z. Cao, T.-J. Liu, S.-W. Xiong, Y.-F. Yu, B. Liao, Y. Cao, J.-Y. Li, et al · 2023
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G. Jaume, A. Vaidya, R. Chen, D. Williamson, P. Liang, and F. Mahmood · 2023
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Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images
J. Ke, Y. Shen, Y. Lu, Y. Guo, and D. Shen · 2023
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Deep biological pathway informed pathology-genomic multimodal survival prediction
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X. Wang, S. Yang, J. Zhang, M. Wang, J. Zhang, J. Huang, W. Yang, and X. Han · 2021
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Long range language modeling via gated state spaces
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Ongoing shuffling of protein fragments diversifies core viral functions linked to interactions with bacterial hosts
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Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer
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Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction
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Cross-modal translation and alignment for survival analysis
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Generalizable whole slide image classification with fine-grained visual-semantic interaction
H. Li, Y. Chen, Y. Chen, R. Yu, W. Yang, L. Wang, B. Ding, and Y. Han · 2024
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Feature re-embedding: Towards foundation model-level performance in computational pathology
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