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Don't PANIC: Prototypical Additive Neural Network for Interpretable
  Classification of Alzheimer's Disease

Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease

13 March 2023
Tom Nuno Wolf
Sebastian Polsterl
Christian Wachinger
    FAtt
ArXivPDFHTML

Papers citing "Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease"

5 / 5 papers shown
Title
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Chong Wang
Fengbei Liu
Yuanhong Chen
Helen Frazer
Gustavo Carneiro
32
2
0
07 Nov 2024
Applications of interpretable deep learning in neuroimaging: a
  comprehensive review
Applications of interpretable deep learning in neuroimaging: a comprehensive review
Lindsay Munroe
Mariana da Silva
Faezeh Heidari
I. Grigorescu
Simon Dahan
E. C. Robinson
Maria Deprez
Po-Wah So
AI4CE
44
5
0
30 May 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
Lisa Anita De Santi
Jorg Schlotterer
Michael Scheschenja
Joel Wessendorf
Meike Nauta
Vincenzo Positano
Christin Seifert
MedIm
38
3
0
27 Mar 2024
RegBN: Batch Normalization of Multimodal Data with Regularization
RegBN: Batch Normalization of Multimodal Data with Regularization
Morteza Ghahremani
Christian Wachinger
28
6
0
01 Oct 2023
Knowledge Distillation to Ensemble Global and Interpretable
  Prototype-Based Mammogram Classification Models
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
Chong Wang
Yuanhong Chen
Yuyuan Liu
Yu Tian
Fengbei Liu
Davis J. McCarthy
M. Elliott
Helen Frazer
G. Carneiro
56
19
0
26 Sep 2022
1