- Learning Structured Deformations using Diffeomorphic Registration
- A Variational U-Net for Conditional Appearance and Shape Generation
- Variational Autoencoders for Deforming 3D Mesh Models
- Image Deformation Using Moving Least Squares
- Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation
- Diffeomorphic registration using geodesic shooting and Gauss–Newton optimisation
- Adversarial Image Registration with Application for MR and TRUS Image Fusion
- Deep Diffeomorphic Transformer Networks
- A set of papers
- A Fast Diffeomorphic Image Registration Algorithm
- Attention U-Net:Learning Where to Look for the Pancreas
- Attention Gated Networks
- Adversarial Deformation Regularization for Training Image Registration Neural Networks
- Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images
- LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
- A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information
- Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
- Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
- AI transforms image reconstruction
- Image Reconstruction is a New Frontier of Machine Learning
- HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model
- Linear and Deformable Image Registration with 3D Convolutional Neural Networks
- On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains
- PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
- [Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method] (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658120/pdf/pone.0143327.pdf)
- LEARN TO PAY ATTENTION
- UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
- Difeomorphic Image Registration
- GAN
- Tutorial on Variational Autoencoders
- Implementing Lucas-Kanade Optical Flow
- FINDING OPTIMAL ROTATION AND TRANSLATION BETWEEN CORRESPONDING 3D POINTS
- Matlab's tours for Mesh processing and Partial Differential Equations
- Surface Extraction: Creating a mesh from pixel-data using Python and VTK
- LOOPY BELIEF PROPAGATION, MARKOV RANDOM FIELD, STEREO VISION
- RAVEH GONEN'S BLOG
- A Beginner’s Guide to Recurrent Networks and LSTMs
- Gaussian Mixture Models Tutorial and MATLAB Code
- Image Processing Blog
- Wasserstein GAN and the Kantorovich-Rubinstein Duality
- Understand Deep Residual Networks — a simple, modular learning framework that has redefined state-of-the-art
- Agustinus Kristiadi's Blog
- Deep Diffeomorphic Normalizing Flows
- Tutorial on Gibbs Sampling for uninitiated
- Gaussian Process
- DeepLearning in Depth
- First AI Courses
- Groupwise LandMark Registration with Elastix
- [www.google.com](0434 470 121)
- Chapterwise Implementation of Pattern Recognition
- CM Medical Imaging
- TUM Medical Imaging
- NPTL Medical Imaging
- Special Seminar by Marc Neithamme
- University of Waterloo
- ETHZ: Summer school on Biomedical Imaging
- SPM Course Videos
- MRI Online Course
- Simple Mathematics Explanation
- Medical Image Registration by Joseph V Hajnal, D.L.G Hill
- Numerical Methods for Image Registration by Jan Modersitzki
- FAIR Flexible Algorithms for Image Registration
- Mathematical Problems in Image Processing:Partial Differential Equations and Calculus of Variations
- HUMAN BRAIN FUNCTION
- Matrix CookBook
- DIFFERENTIAL GEOMETRICAL THEORY OF STATISTICS