PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

A Python package for the analysis of biopsychological data.

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

Text mining cancer biomarkers for the CIVIC database

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

🚀 Food-Biomarker Ontology defines the relationships between foods and their associated metabolites (biomarkers) through a formal ontology

Official implementation of the Fréchet Radiomic Distance

Data and statistical models for biomarker shedding.

A Python package to interact with fasting logs from apps like Zero.

G2Vec: Distributed gene representations for identification of cancer prognostic genes (Scientific Reports)

Neural circuit parameter inference using electrophysiological data

Histogram-weighted Networks for Connectivity & Advanced Analysis in Neuroscience

discovering novel biomarkers in RNA-Seq data with tree-based models and survival analysis

Neural Networks for Deep Regression on UK Biobank neck-to-knee body MRI

Pancreatic Cancer Biomarkers Identification Codes & Files

This repository contains the scripts for the ML-Trauma project of the McDevitt Lab at NYU.

Federated implementation of a CNN to predict brain age from MRI-derived gray matter

Roche entry into Precision FDA hackathon

Code for paper "A Bayesian analysis of heart rate variability changes over acute episodes of bipolar disorder".