Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net

Workflow for analysis of healthy human kidney by snRNAseq and snATACseq

PyTorch implementation for 2.5D U-Net segmentation of UK Biobank neck-to-knee body MRI

Containerized workflow for analysis of human diabetic kidney disease by snRNA-seq and snATAC-seq

Code for [MLMI 2019] [KiPA22 Challenge] [AMOS 2022 Challenge] [MICCAI 2022 Workshop] Boundary-Aware Network for Medical Image Segmentation.

📈 Evaluation of the Predictive value of short-term Oliguria and minor Creatinine increases for Acute Kidney Injury in ICU

Analysis code and output for the Combes kidney organoid scRNA-seq paper https://doi.org/10.1186/s13073-019-0615-0

A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.

KiPA2022——Multi-Structure Segment for Renal Cancer Treatment.

Code for the analysis chapter of my PhD thesis looking at kidney organoid scRNA-seq data

Implements an algorithm that helps identify episodes of acute kidney injury that develop during hospitalization

Computational models for epithelial transport along the nephron.

This is latest version of sex-specific mathematical models for epithelial transport along the nephron. Models are implemented in Python 3.

Development of a renal ultrasound computer aided tool using deep learning techniques.

Mask R-CNN Inference Tool used for Nephrology analysis

R Package to run statistical analyses for COVID-19 patients with acute kidney injury.

Extension 3DSlicer for Manually Kidney Cysts Selection

Introduction to PERMIT project resources