Pinned Repositories
BRIEFnet
Code for MICCAI 2017 paper on binary sparse convolutions for semantic segmentation of medical images
ChasingClouds
Code, models and dataset for ICCV 2023 (oral) paper on differentiable volumetric rasterisation of point clouds for 3D registration
deedsBCV
new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks
makennunetsmallagain
fused re-parameterisation, inverted bottleneck and partial spatial convolutions
OBELISK
MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
realtimeDeeds
example code for TBME Publication "Model-based Sparse-to-dense Image Registration for Realtime Respiratory Motion Estimation in Image-guided Interventions"
TernaryNet
see https://arxiv.org/abs/1801.09449
VoxelMorphPlusPlus
mattiaspaul's Repositories
mattiaspaul/deedsBCV
new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks
mattiaspaul/OBELISK
MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)
mattiaspaul/VoxelMorphPlusPlus
mattiaspaul/ChasingClouds
Code, models and dataset for ICCV 2023 (oral) paper on differentiable volumetric rasterisation of point clouds for 3D registration
mattiaspaul/realtimeDeeds
example code for TBME Publication "Model-based Sparse-to-dense Image Registration for Realtime Respiratory Motion Estimation in Image-guided Interventions"
mattiaspaul/BRIEFnet
Code for MICCAI 2017 paper on binary sparse convolutions for semantic segmentation of medical images
mattiaspaul/TernaryNet
see https://arxiv.org/abs/1801.09449
mattiaspaul/makennunetsmallagain
fused re-parameterisation, inverted bottleneck and partial spatial convolutions
mattiaspaul/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mattiaspaul/DeepGrabCut-PyTorch
Deep GrabCut in PyTorch
mattiaspaul/LearnGN
MIDL 2022 short paper
mattiaspaul/neuralObfuscation
implementation of MIDL2024 submission on neural obfuscation
mattiaspaul/VantangePointForest
very fast classification (or kNN search) of binary features for multi-organ segmentation in 3D
mattiaspaul/binder_test
mattiaspaul/deeds2d
basic MATLAB implementation of deeds in 2d
mattiaspaul/gst-airplay-mac
GStreamer source element for AirPlay video streams
mattiaspaul/jupyter
mattiaspaul/Learn2Optimise
mattiaspaul/midl-website
Website of the MIDL conference series
mattiaspaul/pizarra-nb
Jupyter notebook extension that creates a canvas of a cell and allows to paint onto the contents so it could be used to explain some concepts in an interactive way without the need to use a blackboard.
mattiaspaul/pub
Preprints of recent publications