Mini-batch selective sampling for knowledge adaption of VLMs for mammography.

This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.

MARIO Challenge MICCAI 2024

Contribution to the SEG.A Challenge (MICCAI 2023) by Marek Wodzinski

Github Profile for STS Challenges 🤓

Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic Latent Space. MICCAI 2019.

Official Repository of STS Challenges 😎

MICCAI2023: Artifact Restoration in Histology Images with Diffusion Probabilistic Models

Get Deep Learning Related Statistics(CNN,RNN,RL) from Publications. Including NIPS, ICML, ICLR, CVPR, MICCAI.

Contribution to the BraTS-Path 2024 Challenge

MedGIFT contribution to the BONBID challenge (MICCAI 2023)

[MICCAI 2022] Official Implementation for "Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging"

Semi-supervised Teeth Segmentation Challenge

MICCAI Ophthalmic Medical Image Analysis 2022 publication code

[MICCAI 2024] Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images

Contribution to the ToothFairy Challenge (MICCAI 2023).

A collection of papers published in MICCAI 2024 with their code.

[MICCAI 2024] TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields