Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
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Updated
Nov 20, 2025 - Jupyter Notebook
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
3D Slicer extension for fully automatic segmentation of the upper airway (nasal cavity, nasopharynx, and oropharynx) on CT and CBCT volumes
A simple tool for viewing 3D medical images in a jupyter notebook
Companion code for the MICCAI 2026 paper “Lost in the Folds” for uncertainty estimation in medical image segmentation.
A hybrid detection network, called Swin-hmap Det Fusion Network+ (SDF-Net+), for mediastinal lymph node detection on in-house contrast CT images
This repository contains the code and data processing pipeline for the master thesis project titled "Comparative Evaluation of Deep Learning Networks for Intracranial Aneurysm Segmentation."
Automatic Brain Tumour Segmentation through reimplementation of the popular nnUNet model
Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging
Perivascular space segmentation model for ADNI
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