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Found 8 papers, 1 papers with code
Federated Learning for Medical Image Analysis: A Survey
In each category, we summarize the existing federated learning methods according to specific research problems in medical image analysis and also provide insights into the motivations of different approaches.
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis
To this end, we have developed the Domain Adaptation Toolbox for Medical data analysis (DomainATM) - an open-source software package designed for fast facilitation and easy customization of domain adaptation methods for medical data analysis.
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI
Meanwhile, the brain disease related regions can be highlighted by the attention mechanism.
Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
In this paper, a novel 3D convolutional network, called two-stage-age-network (TSAN), is proposed to estimate brain age from T1-weighted MRI data.
MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data
In this work, we propose a multi-modal multi-instance distillation scheme, which aims to distill the knowledge learned from multi-modal data to an MRI-based network for MCI conversion prediction.
Domain Adaptation for Medical Image Analysis: A Survey
The aim of this paper is to survey the recent advances of domain adaptation methods in medical image analysis.
NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network
In this paper, we propose a multi-task deep neural network called Noise Decomposition (NODE) that explicitly and separately estimates defective pixel noise, in conjunction with Gaussian and Poisson noise, to denoise an extreme low light image.
BRISKS: Binary Features for Spherical Images on a Geodesic Grid
For interest point detection, we use a variant of the Accelerated Segment Test (AST) corner detector which operates on our geodesic grid.
