Deep-Learning–Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies

Classification of glomerular hypercellularity using convolutional features and support vector machine

(2020) Paulo Chagas et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Assessment of knee pain from MR imaging using a convolutional Siamese network

(2020) Gary H. Chang et al.   EUROPEAN RADIOLOGY

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

(2020) Shangran Qiu et al.   BRAIN

Artificial intelligence driven next-generation renal histomorphometry

(2020) Briana A. Santo et al.   CURRENT OPINION IN NEPHROLOGY AND HYPERTENSION

Artificial intelligence and machine learning in nephropathology

(2020) Jan U. Becker et al.   KIDNEY INTERNATIONAL

Global-and-Local Context Network for Semantic Segmentation of Street View Images

(2020) Chih-Yang Lin et al.   SENSORS

Machine learning, the kidney, and genotype–phenotype analysis

(2020) Rachel S.G. Sealfon et al.   KIDNEY INTERNATIONAL

Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach

(2020) Eiichiro Uchino et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains.

(2020) Catherine P. Jayapandian et al.   KIDNEY INTERNATIONAL

Digital pathology and computational image analysis in nephropathology

(2020) Laura Barisoni et al.   Nature Reviews Nephrology

Big science and big data in nephrology

(2019) Julio Saez-Rodriguez et al.   KIDNEY INTERNATIONAL

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

(2019) Ziqi Tang et al.   Nature Communications

Deep-learning-based imaging-classification identified cingulate island sign in dementia with Lewy bodies

(2019) Tomomichi Iizuka et al.   Scientific Reports

Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives

(2019) Olivier Niel et al.   AMERICAN JOURNAL OF KIDNEY DISEASES

Deep Learning–Based Histopathologic Assessment of Kidney Tissue

(2019) Meyke Hermsen et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

Computational Segmentation and Classification of Diabetic Glomerulosclerosis

(2019) Brandon Ginley et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

GLNet: Global Local Network for Weakly Supervised Action Localization

(2019) Shiwei Zhang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections

(2018) Jon N. Marsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The Prognostic Value of Histopathologic Lesions in Native Kidney Biopsy Specimens: Results from the Boston Kidney Biopsy Cohort Study

(2018) Anand Srivastava et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

Texture Analysis for Muscular Dystrophy Classification in MRI with Improved Class Activation Mapping

(2018) Jinzheng Cai et al.   PATTERN RECOGNITION

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

(2018) Eirini Arvaniti et al.   Scientific Reports

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

(2018) Nicholas Bien et al.   PLOS MEDICINE

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

(2018) Ahmed Hosny et al.   PLOS MEDICINE

Interstitial fibrosis scored on whole-slide digital imaging of kidney biopsies is a predictor of outcome in proteinuric glomerulopathies

(2017) Laura H Mariani et al.   NEPHROLOGY DIALYSIS TRANSPLANTATION

What is the best way to measure renal fibrosis?: A pathologist’s perspective

(2014) Alton B. Farris et al.   Kidney International Supplements

Morphometric and Visual Evaluation of Fibrosis in Renal Biopsies

(2010) A. B. Farris et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

Pattern Recognition Software and Techniques for Biological Image Analysis

(2010) Lior Shamir et al.   PLoS Computational Biology

WND-CHARM: Multi-purpose image classification using compound image transforms

(2008) Nikita Orlov et al.   PATTERN RECOGNITION LETTERS