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AXIAL: Attention-based eXplainability for Interpretable Alzheimer's
  Localized Diagnosis using 2D CNNs on 3D MRI brain scans

AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans

2 July 2024
Gabriele Lozupone
Alessandro Bria
F. Fontanella
C. D. Stefano
ArXivPDFHTML

Papers citing "AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans"

5 / 5 papers shown
Title
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
Gabriele Lozupone
Alessandro Bria
F. Fontanella
Frederick J.A. Meijer
C. D. Stefano
Henkjan Huisman
DiffM
MedIm
36
0
0
11 Apr 2025
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
25
3
0
03 Oct 2024
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
67
437
0
06 Apr 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
255
36,362
0
25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
1