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Found 7 papers, 3 papers with code
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
We customize features suitable for volumetric MRI to train the random forest and propose a median tree ensemble for robust regression.
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration
Our method demonstrates the best registration performance on our and a public multi-modal dataset in comparison to competing methods.
SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks
With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming.
Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network
Our method extracts convolutional features from the vessel structure for keypoint detection and description and uses a graph neural network for feature matching.
A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet
For art investigations of paintings, multiple imaging technologies, such as visual light photography, infrared reflectography, ultraviolet fluorescence photography, and x-radiography are often used.
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
Facial landmark detection plays an important role for the similarity analysis in artworks to compare portraits of the same or similar artists.
A Vessel-Segmentation-Based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis
Unpaired image-to-image translation of retinal images can efficiently increase the training dataset for deep-learning-based multi-modal retinal registration methods.
