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Found 5 papers, 2 papers with code
WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network
We present WSSAMNet, a weakly supervised method for medical image registration.
Perceptual cGAN for MRI Super-resolution
Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients.
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance.
Self-Supervised Visual Representation Learning Using Lightweight Architectures
In self-supervised learning, a model is trained to solve a pretext task, using a data set whose annotations are created by a machine.
Group Affect Prediction Using Multimodal Distributions
We describe our approach towards building an efficient predictive model to detect emotions for a group of people in an image.
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