There are no reviews yet. Be the first to send feedback to the community and the maintainers!
pytorch-mask-rcnn
pdd_net
Probabilistic Dense Displacement Network (3D discrete deep learning registration)graphregnet
Lung250M-4B
Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registrationmiccai19_self_supervision
Example Code for Self-Supervised Feature Learning in Medical Volume Scansflownet3d.pytorch
PyTorch Implementation of FlowNet3D (https://arxiv.org/pdf/1806.01411.pdf)reg-cyclical-self-train
Unsupervised 3D registration through cyclical self-trainingpdd2.5
deep-geo-reg
slic_reg
Rethinking the Design of Learning based Inter-Patient Registration using Deformable Supervoxels (MIDL 2021)hand-gesture-posture-position
This repo holds the code for our 3DV 2021 paper "Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition"registration-da-mean-teacher
Source code for our Miccai2022 paper "Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts.DG-TTA
DG-TTAstroke-prediction
Stroke growth predictionda-3dhpe-anatomy
Anatomy-guided domain adaptation for point cloud-based 3D in-bed human pose estimationsemantically-guided
weakly supervised learning for image registrationlearning_without_metric
mec19_vae_tutorial_solution
vertebrae-segmentation-classification
MICCAI24_IMMoCo
iter_lbp
hierarchical-dense-ssl
Learn2Optimise
XEdgeConv
multimodalSUITS
code basis for the MIDL MedIA Special Issueflownet_pytorch
converting Nvidia's pytorch FlowNet with only builtin layers to support to newer pytorch versionsshape_matters
Repository for the paper titled "Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding"weight-estimation-under-cover
This repo holds the code for our IJCARS paper "Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients"bvm_tutorial
mec19_vae_tutorial
GenRegShapes
Repostitory for "Generalised 3D Medical Image Registration with Learned Shape Encodings" (MIUA 2023)deep_staple
acquisition-focus
Love Open Source and this site? Check out how you can help us