[CVPRW 2025] Official code of "IAUNet: Instance-Aware U-Net"

MONAI Versatile Imaging Segmentation and Annotation

Towards Scalable Language-Image Pre-training for 3D Medical Imaging

[npj Digital Medicine] A generalizable 3D framework and model for self-supervised learning in medical imaging

CT-FM: A 3D Image-Based Foundation Model for Computed Tomography

Tartu University Bayesian Modelling course 2025

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

[CVPR 2024] Generalizable Tumor Synthesis - Realistic Synthetic Tumors in Liver, Pancreas, and Kidney

A collection of resources and papers on Diffusion Models

Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering guide, and resources for further learning.

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

Material for lectures on Diffusion models at IE university

[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

3D ResNets for Action Recognition (CVPR 2018)

UniverSeg: Universal Medical Image Segmentation

[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)

[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Explainable AI Using Generative Adversarial Networks

starter from "How to Train a GAN?" at NIPS2016

Implementation of the paper LIMITR: Leveraging Local Information for Medical Image-Text Representation

Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

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

The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge

Distant Viewing Toolkit for the Analysis of Visual Culture

PyTorch reimplementation of Noise2Same with enhancements

Gallery of OSMnx tutorials, usage examples, and feature demonstrations.

Conditional RNNs for Tensorflow / Keras.

Project in the UT course MTAT.03.227 Machine Learning