Biomarker-Based Classification and Localization of Renal Lesions Using Learned Representations of Histology—A Machine Learning Approach to Histopathology

Evaluation of 10 Urinary Biomarkers for Renal Safety With 5 Nephrotoxicants in Nonhuman Primates

(2020) Katerina Vlasakova et al.   TOXICOLOGIC PATHOLOGY

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

(2020) Benoît Schmauch et al.   Nature Communications

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Deep learning-based classification of mesothelioma improves prediction of patient outcome

(2019) Pierre Courtiol et al.   NATURE MEDICINE

Multiple instance learning: A survey of problem characteristics and applications

(2018) Marc-André Carbonneau et al.   PATTERN RECOGNITION

Computer-aided diagnosis from weak supervision: A benchmarking study

(2015) Melih Kandemir et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Urinary clusterin, cystatin C, β2-microglobulin and total protein as markers to detect drug-induced kidney injury

(2010) Frank Dieterle et al.   NATURE BIOTECHNOLOGY

Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies

(2010) Vishal S Vaidya et al.   NATURE BIOTECHNOLOGY