Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Convolutional Neural Networks for Cardiac Segmentation

Segment Source Distribution

3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)

A Vision Foundation Model for Cine Cardiac Magnetic Resonance Imaging

The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch

This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation", published at IEEE JBHI 2022

[IEEE-TMI 2021] This is our PyTorch implementation for Adapt Everywhere paper on unsupervised domain adaptation using entropy and point-cloud paper.

[ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"

The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).

An image segmentation project using PyTorch to segment the Left Atrium in 3D Late gadolinium enhanced - cardiac MR images of the human heart.

We propose a scalable Temporal Attention Module (TAM) to inject cardiac motion information into segmentation models. TAM captures dynamic changes across temporal frames using multi-headed, cross-temporal attention. It is adaptable across imaging modalities, scalable from 2D to 3D, and adds minimal computational overhead.

[IEEE-JBHI 2020] TensorFlow/Keras implementation: Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification

Deep learning based cardiac segmentation

Segmentation of histological images and fibrosis identification with a convolutional neural network

Deep learning has found it's use in the medical imaging community for diagnostic and post processing methods. One such application is the medical image segmentation using Unet.

Predict a bounding box around the heart in X-ray images.

cardiac segmentation with 3d slicer

Rat Fenton-Karma C code and 3D DTI-based geometry files

Cardiac structure segmentation from 2D echocardiography using U-Net with ResNet34 encoder. 0.910 Dice on CAMUS (5-fold CV). Systematic ablation across 20+ experiments.