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Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease
11 July 2022
Mehmet Saygin Seyfiouglu
Zixuan Liu
Pranav Kamath
Sadjyot Gangolli
Sheng Wang
T. Grabowski
Linda G. Shapiro
MedIm
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Papers citing
"Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease"
7 / 7 papers shown
Title
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers
Arindam Majee
Avisek Gupta
S. Raha
Swagatam Das
MedIm
26
2
0
24 Mar 2024
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSL
LM&MA
18
2
0
05 Sep 2023
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance
Yuqian Chen
L. Zekelman
Chaoyi Zhang
Tengfei Xue
Yang Song
...
Yogesh Rathi
A. Golby
Weidong (Tom) Cai
Fan Zhang
L. O’Donnell
33
11
0
08 Jul 2023
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography
Tengfei Xue
Fan Zhang
L. Zekelman
Chaoyi Zhang
Yuqian Chen
...
W. Wells
Yogesh Rathi
N. Makris
Weidong Cai
L. O’Donnell
25
7
0
13 Oct 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
109
80
0
13 Oct 2020
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
Sheng Liu
Chhavi Yadav
C. Fernandez‐Granda
N. Razavian
36
46
0
09 Nov 2019
1