3D Slicer modules for brain segmentation using deep learning.
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Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Code Repository for CVPR 2023 Paper "PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360 degree"
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such...
Use Deep Extreme Cut (DEXTR) to mask image sequences with motion tracking data from Blender
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation (MICCAI 2022)
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
MRI preprocessing and analysis pipelines and tools for the study of disorders of consciousness
3D Slicer module for TorchIO.
Brain vessel segmentation using 3D convolutional neural networks
3D Slicer module to visualize the EPISURG dataset and segment postoperative brain resection cavit...
Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset...
Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for posto...
Algorithm to simulate resection surgery on brain MRI scans. Published in MICCAI 2020, extended in...