Ref list for multimodal registration

Table of Contents

• Survey papers
• Vessel Segmentation
• Image Registration (AI method)
• Image Registration (Traditional)
• Montaging

Survey papers

• [arXiv 2019] Deep Learning in Medical Image Registration: A Survey pdf
• [Journal 2016] A survey on deep learning in medical image analysis pdf

Vessel Segmentation

• [MICCAI 2016] DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field, pdf

• [CVPR 2019] M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications, T. Laibacher pdf [code]

• [ICIAR 2017] A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images pdf

Image Registration (AI method)

Retinal

• [ICCV 2019] A Deep Step Pattern Representation for Multimodal Retinal Image Registration, J. A. Lee pdf

• [CVPR 2015] LiSPA: A Low-dimensional Step Pattern Analysis Algorithm with Application to Multimodal Retinal Image Registration, J. A. Lee pdf

• [ICIP 2019] Joint Vessel Segmentation and Deformable Registration on Multi-Modal Retinal Images based on Style Transfer, J. Zhang pdf \

  Dice & MIND;
  [Github repo]

Medical

• [arXiv 2018] Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration, Yipeng Hu pdf

• [arXiv 2018] VoxelMorph: A Learning Framework for Deformable Medical Image Registration, MIT pdf [code]

General

Image Registration (Traditional)

Retinal

• [Journal 2003] Registration and Fusion of Retinal Images—An Evaluation Study

• [NIH 2018] Multi-modal and multi-vendor retina image registration, Z. Li link

• [Journal 2006] Hybrid Retinal Image Registration link

• [arXiv 2018] Multimodal Registration of Retinal Images Using Domain-Specific Landmarks and Vessel Enhancement, A. Hervella pdf

  OCTA & FA img;
  very basic method

Montaging

• [Journal 2013] Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography

Other AI Image processing papers

• [CVPR 2014] FCN: Fully convolutional networks for semantic segmentation, J. Long pdf

• [CVPR 2016] ResNet: Deep Residual Learning for Image Recognition, Kaiming He pdf

• [NIPS 2015] STN: Spatial Transformer Networks, M. Jaderberg pdf

  Gives the CNN ability to precess non-linear transfroms

• [MICCAI 2015] U-Net: Convolutional Networks for Biomedical Image Segmentation pdf homepage TF code

• [NIPS 2014] GAN: Generative Adversarial Networks, I. Goodfellow pdf