Multi-instance learning attention model for amyloid quantification of brain sub regions in longitudinal cognitive decline-Reference-Cited by-同舟云学术

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Multi-instance learning attention model for amyloid quantification of brain sub regions in longitudinal cognitive decline

Published:2024-11 Issue: Volume:1842 Page:149103
ISSN:0006-8993
Container-title:Brain Research
language:en
Short-container-title:Brain Research

Author:

Divya R.^ORCID,Shantha Selva Kumari R.

Publisher

Elsevier BV

Reference35 articles.

1. A deep learning approach for person identification using ear biometrics;Ahila Priyadharshini;Appl. Intell.,2021

2. MixNet: A Robust Mixture of Convolutional Neural Networks as Feature Extractors to Detect Stego Images Created by Content-Adaptive Steganography;Amrutha;Neural Process. Lett.,2022

3. Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer’s type based on a three-dimensional convolutional neural network;Bae;Neurobiol. Aging,2021

4. Contour-aware semantic segmentation network with spatial attention mechanism for medical image;Cheng;Vis. Comput.,2022

5. Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening;Chikontwe;Med. Image Anal.,2021

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