mattiaspaul

deedsBCV

new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks

OBELISK

MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)

VoxelMorphPlusPlus

ChasingClouds

Code, models and dataset for ICCV 2023 (oral) paper on differentiable volumetric rasterisation of point clouds for 3D registration

realtimeDeeds

example code for TBME Publication "Model-based Sparse-to-dense Image Registration for Realtime Respiratory Motion Estimation in Image-guided Interventions"

BRIEFnet

Code for MICCAI 2017 paper on binary sparse convolutions for semantic segmentation of medical images

TernaryNet

see https://arxiv.org/abs/1801.09449

makennunetsmallagain

fused re-parameterisation, inverted bottleneck and partial spatial convolutions

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

DeepGrabCut-PyTorch

Deep GrabCut in PyTorch

LearnGN

MIDL 2022 short paper

neuralObfuscation

implementation of MIDL2024 submission on neural obfuscation

VantangePointForest

very fast classification (or kNN search) of binary features for multi-organ segmentation in 3D

binder_test

deeds2d

basic MATLAB implementation of deeds in 2d

gst-airplay-mac

GStreamer source element for AirPlay video streams

jupyter

Learn2Optimise

midl-website

Website of the MIDL conference series

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.

pub

Preprints of recent publications