medical imaging
-
Deep NNs for Segmentation
-
CNNs for Brain Tumor Segmentation in MRI Scans (BraTS)
-
U-Net: Convolutional Networks for Biomedical Image Segmentation
-
Architectures, Datasets, and Transfer Learning for CNN-based CAD
-
CNNs for Brain Tumor Segmentation in MRI Scans (BraTS)
-
Reinforcement Learning for Landmark Detection in 3D CT Volumes
-
Unsupervised Learning for Deformable Registration
-
Achieving Dermatologist-level Classification Performance of Skin Lesion Images
-
Feature Representation and Multi-modal Fusion using Deep Boltzmann Machine
-
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
-
Medical Image Registration Using Mutual Information
-
Non-rigid Image Registration Using Graph-cuts
-
Nonrigid Registration Using Free-Form Deformations
-
Multiscale Vessel Enhancement Filtering
-
Graph Cuts for Image Segmentation
-
Interactive Live-Wire Boundary Extraction
-
Random Walks for Image Segmentation
-
Stochastic Active Contour Scheme (STACS) for Image Segmentation
