MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

Use CNN to detect nodules in LIDC dataset.

lidc nodule detection with CNN and LSTM network

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

Segmentation of lung, pulmonary vessels and pulmonary fissures in CT Scans

Robust segmentation of lung and airway in CT scans

Code/figures in Right for the Right Reasons

This repository contains code to pre-process the LIDC-IDRI dataset of CT-scans with pulmonary nodules into a binary classification problem, easy to use for learning deep learning

Therapixel solution of 2017's kaggle challenge on lung cancer detection

Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)

Official implementation for ICML23 paper: Which Invariance Should We Transfer? A Causal Minimax Learning Approach

Supervised Whole DAG Causal Discovery

Simple python code to calculate PostTCE and PostDCE