[IPMI'25] Full conformal adaptation. Adapting medical vision-language models with reliability guarantees.

Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"

[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

High-quality implementations of standard and SOTA methods on a variety of tasks.

MICCAI 2019-2023 Open Source Papers

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

Code and pre-trained convolutional neural network for breast cancer segmentation in MRI

A comprehensive Radiomics pipeline for extracting, preprocessing, and analyzing oncological imaging biomarkers that can be used for benign-malignancy prediction, survival status prediction, and sim…

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)