Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology

Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types

(2022) Chiara Maria Lavinia Loeffler et al.   Frontiers in Genetics

Swarm learning for decentralized artificial intelligence in cancer histopathology

(2022) Oliver Lester Saldanha et al.   NATURE MEDICINE

Clinical Profile and Survival Outcome of Endometrial Cancer with p53 Mutation

(2022) Anila Tresa et al.   Indian Journal of Surgical Oncology

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

(2022) Richard J. Chen et al.   CANCER CELL

APC mutations as a predictive marker of endometrial cancer immunotherapy: a retrospective cohort study

(2022) Yiran Li et al.   LANCET ONCOLOGY

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

(2022) Narmin Ghaffari Laleh et al.   MEDICAL IMAGE ANALYSIS

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

(2022) Yoni Schirris et al.   MEDICAL IMAGE ANALYSIS

Facts and Hopes on the Use of Artificial Intelligence for Predictive Immunotherapy Biomarkers in Cancer

(2022) Narmin Ghaffari Laleh et al.   CLINICAL CANCER RESEARCH

Multimodal deep learning: An improvement in prognostication or a reflection of batch effect?

(2022) Frederick M. Howard et al.   CANCER CELL

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

(2022) Xiyue Wang et al.   MEDICAL IMAGE ANALYSIS

Data-efficient and weakly supervised computational pathology on whole-slide images

(2021) Ming Y. Lu et al.   Nature Biomedical Engineering

Artificial Intelligence–based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?

(2021) Chiara Maria Lavinia Loeffler et al.   European Urology Focus

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

(2021) Frederick M. Howard et al.   Nature Communications

Federated learning for computational pathology on gigapixel whole slide images

(2021) Ming Y. Lu et al.   MEDICAL IMAGE ANALYSIS

Clinical-grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning

(2020) Amelie Echle et al.   GASTROENTEROLOGY

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

(2020) Benoît Schmauch et al.   Nature Communications

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

(2019) Kaustav Bera et al.   Nature Reviews Clinical Oncology

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Endometrial cancer gene panels: clinical diagnostic vs research germline DNA testing

(2017) Amanda B Spurdle et al.   MODERN PATHOLOGY

Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden

(2017) Zachary R. Chalmers et al.   Genome Medicine

Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal

(2013) J. Gao et al.   Science Signaling

Self-supervised ARTMAP

(2009) Gregory P. Amis et al.   NEURAL NETWORKS