Current code for my hippocampal morphometry workflow, based on the hippodeep_pytorch segmentation program and the SlicerSALT shape analysis software.
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Updated
Aug 13, 2024 - Python
Current code for my hippocampal morphometry workflow, based on the hippodeep_pytorch segmentation program and the SlicerSALT shape analysis software.
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
Geometric morphometrics in non-Euclidean shape spaces.
An open-source, free comprehensive software that will allow biomedical scientists to precisely locate shape changes in their imaging studies. This software called Slicer Shape AnaLysis Toolbox (SlicerSALT), will enhance the intuitiveness and ease of use for such studies, as well as allow researchers to find shape changes with higher statistical …
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
Anatomical shape analysis with skeletal representations (s-reps)
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
A very lightweight and minimalistic output shape examiner of layers and models.
3D Slicer extension for Shape Analysis with DWD (Distance Weighted Discrimination)
This is an implementation of Eurographics 2017 paper 'Fully spectral partial shape matching' using Tensorflow and Pymanopt.
Rendering color and depth images for ShapeNet models.
Scyland3D: Processing 3D landmarks
Automated anatomical brain label/shape analysis software (+ website)
A Baseline Approach for the AutoImplant Challenge
Course Project for the course CS 736
SOC project
Object oriented code of our ICCV 2019 oral paper SURFMNet http://openaccess.thecvf.com/content_ICCV_2019/html/Roufosse_Unsupervised_Deep_Learning_for_Structured_Shape_Matching_ICCV_2019_paper.html
library to modify images and the corresponding landmarks
Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.
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