The-Veeraraghavan-Lab / SMIT
Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SMIT
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆36Updated last year
- The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…☆37Updated last year
- Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"☆49Updated 10 months ago
- [IEEE-TMI'23] TaG-Net: Topology-aware Graph Network for Centerline-based Vessel Labeling☆37Updated 10 months ago
- ☆30Updated last year
- ☆50Updated 9 months ago
- ☆33Updated 3 months ago
- blob loss example implementation☆35Updated 3 months ago
- Our deep learning training pipeline for the BraTS 2021 challenge and the FeTA 2021 challenge☆17Updated 2 years ago
- DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation☆25Updated last month
- [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…☆64Updated last year
- TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction☆29Updated 2 years ago
- This is the official Pytorch implementation of "Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative a…☆37Updated last year
- ☆22Updated 2 years ago
- Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…☆26Updated 9 months ago
- Medical image registration, affine and deformable registration☆26Updated 2 weeks ago
- [MICCAI 2022] The official repository of Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac…☆29Updated last year
- A collection of self-supervised papers in medical imaging.☆39Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆35Updated 2 years ago
- examples of using PyMIC for medical image computing with deep learning☆33Updated last month
- 3D vessel-like structure segmentation in pytorch☆28Updated last year
- [IEEE-JBHI'2022] Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation(Pytorch)☆27Updated last year
- Annotations for the PI-CAI Challenge: Public Training and Development Dataset☆50Updated last month
- Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmen…☆28Updated 3 years ago
- PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillatio…☆17Updated last year
- Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images☆22Updated 2 years ago
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆27Updated last year
- This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", …☆75Updated 8 months ago
- Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"☆23Updated last year
- ☆56Updated last year