Digital pathology and computational image analysis in nephropathology

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HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides

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Deep Learning-Based Histopathologic Assessment of Kidney Tissue

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Design of the Nephrotic Syndrome Study Network (NEPTUNE) to evaluate primary glomerular nephropathy by a multidisciplinary approach

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X‐ray imaging using amorphous selenium: Feasibility of a flat panel self‐scanned detector for digital radiology

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Machine learning and medical education

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Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions

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Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

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Prepublication data sharing

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Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.

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Glomerular Aging and Focal Global Glomerulosclerosis

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Computational Segmentation and Classification of Diabetic Glomerulosclerosis

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Machine learning techniques to diagnose breast cancer

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The reproducibility and predictive value on outcome of renal biopsies from expanded criteria donors

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Segmentation of Glomeruli Within Trichrome Images Using Deep Learning

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Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections

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Banff Histopathological Consensus Criteria for Preimplantation Kidney Biopsies

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FAIR data sharing: The roles of common data elements and harmonization

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US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised

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Implementation of Digital Pathology Offers Clinical and Operational Increase in Efficiency and Cost Savings

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Relevance of Spatial Heterogeneity of Immune Infiltration for Predicting Risk of Recurrence After Endocrine Therapy of ER+ Breast Cancer

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Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network

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International Charter of principles for sharing bio-specimens and data

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CureGN Study Rationale, Design, and Methods: Establishing a Large Prospective Observational Study of Glomerular Disease

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Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies

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Estimating Podocyte Number and Density Using a Single Histologic Section

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Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks

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An integrated iterative annotation technique for easing neural network training in medical image analysis

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Integrative Genomics Identifies Novel Associations with APOL1 Risk Genotypes in Black NEPTUNE Subjects

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Evaluating the benefits of digital pathology implementation: time savings in laboratory logistics

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Color standardization and optimization in Whole Slide Imaging

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

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Experience with multimodality telepathology at the University of Pittsburgh Medical Center

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Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections

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Glomerulus Classification and Detection Based on Convolutional Neural Networks

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Digital Pathology Evaluation in the Multicenter Nephrotic Syndrome Study Network (NEPTUNE)

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CNN cascades for segmenting sparse objects in gigapixel whole slide images

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Current Status of Whole-Slide Imaging in Education

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Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology

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Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer

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Capillary rarefaction from the kidney point of view

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A real-time, flat-panel, amorphous silicon, digital x-ray imager.

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Co-Occurring Gland Angularity in Localized Subgraphs: Predicting Biochemical Recurrence in Intermediate-Risk Prostate Cancer Patients

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Accelerated podocyte detachment and progressive podocyte loss from glomeruli with age in Alport Syndrome

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FSGS as an Adaptive Response to Growth-Induced Podocyte Stress

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Reproducibility of the NEPTUNE descriptor-based scoring system on whole-slide images and histologic and ultrastructural digital images

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CNN cascades for segmenting sparse objects in gigapixel whole slide images

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Digital pathology imaging as a novel platform for standardization and globalization of quantitative nephropathology

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