Deep learning intra-modality image registration arhitecture fulfilling strict symmetry properties

The official website for uniGradICON: A Foundation Model for Medical Image Registration

The public code of SMILE LAB

Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration

OpenMMLab optical flow toolbox and benchmark

[CVPR 2024] Deformable Convolution v4

[MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation"

BARF: Bundle-Adjusting Neural Radiance Fields 🤮 (ICCV 2021 oral)

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

Let us control diffusion models!

manual curated brain anatomical landmark data on common neuroimaging datasets

This is an unofficial implementation of the Point Transformer paper.

(ICCV'23) Learning to Upsample by Learning to Sample

[ICCV 2021] A dataset of non-rigidly deforming objects.

Kernel Point Convolution implemented in PyTorch

Generate Tikz figures from pytorch models

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

A straightforward mechanism to implement cost sensitive losses in pytorch

Analyzing the gradients of the Dice loss in the context of missing or empty labels.

The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).

Deep learning image registration library for PyTorch

Real-time video and audio processing on Streamlit

Rethinking the Design of Learning based Inter-Patient Registration using Deformable Supervoxels (MIDL 2021)

Conditional Deformable Image Registration with Convolutional Neural Network

Fourier Domain Adaptation for Semantic Segmentation

Framework for creating (partially) reversible neural networks with PyTorch

SelFlow: Self-Supervised Learning of Optical Flow

Image registration laboratory for 2D and 3D image data