neuro-voxel
importeddata/neuro-voxel
Volumetric MRI visualization and analysis tool for BraTS datasets. Converts NIfTI slices to 3D meshes using Marching Cubes algorithm with real-time tumor volume calculation.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/asmarufoglu/neuro-voxel
- Documentation
- unknown
- Tags
- brats-dataset · computer-vision · medical-imaging · mri-segmentation · open3d · pyvista · volumetric-rendering
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- NeuXelecpyvista
SEEG electrode reconstruction and 3D neuroimaging visualization
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of…
- Co-Manifoldbrats-dataset
[Neurocomputing] Official PyTorch implementation for Co-Manifold Learning for Semi-supervised Medical Image Segmentation
- M2FTransbrats-dataset
[IEEE-JBHI'2024] M2FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation
- VT-UNetbrats-dataset
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
- AI-for-Medical-Diagnosismedical-imaging · mri-segmentation
This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine
- api.github.com/repos/asmarufoglu/neuro-voxelretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-11-30, 28 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/33.json→ .entries["neuro-voxel"]
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