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1909.08856
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Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification
19 September 2019
Fabian Eitel
K. Ritter
OOD
FAtt
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Papers citing
"Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification"
33 / 33 papers shown
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features
Zhuoshuo Li
Jiong Zhang
Youbing Zeng
Jiaying Lin
Dan Zhang
Jianjia Zhang
Duan Xu
H. Kim
Bingguang Liu
Mengting Liu
201
3
0
05 Nov 2024
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
277
16
0
30 May 2024
Towards a Novel Measure of User Trust in XAI Systems
Miquel Miró-Nicolau
Gabriel Moyà Alcover
Antoni Jaume-i-Capó
Manuel González Hidalgo
Adel Ghazel
Maria Gemma Sempere Campello
Juan Antonio Palmer Sancho
346
0
0
09 May 2024
A comprehensive study on fidelity metrics for XAI
Miquel Miró-Nicolau
Antoni Jaume-i-Capó
Gabriel Moyà Alcover
256
37
0
19 Jan 2024
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets
Miquel Miró-Nicolau
Antoni Jaume-i-Capó
Gabriel Moyà Alcover
XAI
398
26
0
03 Nov 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images
IEEE Transactions on Medical Imaging (TMI), 2023
Alessandro Fontanella
Grant Mair
Joanna M. Wardlaw
Emanuele Trucco
Amos Storkey
DiffM
MedIm
282
42
0
03 Aug 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
International Conference on Machine Learning (ICML), 2023
Alessandro Fontanella
Antreas Antoniou
Wenwen Li
Joanna M. Wardlaw
Grant Mair
Emanuele Trucco
Amos Storkey
MedIm
296
14
0
27 Mar 2023
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Experimental Neurology (Exp. Neurol.), 2021
Fabian Eitel
Marc-Andre Schulz
Moritz Seiler
Henrik Walter
K. Ritter
AI4CE
297
50
0
20 Jan 2023
Doubly Right Object Recognition: A Why Prompt for Visual Rationales
Computer Vision and Pattern Recognition (CVPR), 2022
Chengzhi Mao
Revant Teotia
Amrutha Sundar
Sachit Menon
Junfeng Yang
Xin Eric Wang
Carl Vondrick
284
35
0
12 Dec 2022
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT
Rosa C.J. Kraaijveld
M. Philippens
W. Eppinga
Ina Jurgenliemk-Schulz
K. Gilhuijs
P. Kroon
Bas H. M. van der Velden
MedIm
134
3
0
04 Aug 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Cristiano Patrício
João C. Neves
Luís F. Teixeira
XAI
314
117
0
10 May 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging
Elina Thibeau-Sutre
S. Collin
Ninon Burgos
O. Colliot
203
7
0
14 Apr 2022
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers
International Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2021
Shuyue Guan
Murray H. Loew
178
4
0
08 Jan 2022
Disentangled representations: towards interpretation of sex determination from hip bone
K. Zou
S. Faisan
F. Heitz
Marie Epain
P. Croisille
L. Fanton
S. Valette
3DH
DRL
352
5
0
17 Dec 2021
Evaluating saliency methods on artificial data with different background types
Céline Budding
Fabian Eitel
K. Ritter
Stefan Haufe
XAI
FAtt
MedIm
199
5
0
09 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
WIREs Mechanisms of Disease (WIREs Mech Dis), 2021
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
314
81
0
05 Dec 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
284
428
0
01 Nov 2021
Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network
Frontiers in Neuroinformatics (FN), 2021
Teppei Matsui
Masato Taki
Trung Quang Pham
J. Chikazoe
K. Jimura
DiffM
AAML
302
15
0
28 Oct 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadira
Richard Osuala
C. Gallin
Noussair Lazrak
Kaisar Kushibar
...
Nickolas Papanikolaou
Zohaib Salahuddin
Henry C. Woodruff
Philippe Lambin
L. Martí-Bonmatí
AI4TS
417
82
0
20 Sep 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
XAI
296
926
0
22 Jul 2021
Explainable AI: current status and future directions
Prashant Gohel
Priyanka Singh
M. Mohanty
XAI
363
122
0
12 Jul 2021
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Ugur Demir
Ismail Irmakci
Elif Keles
A. Topçu
Ziyue Xu
C. Spampinato
S. Jambawalikar
E. Turkbey
Baris Turkbey
Ulas Bagci
FAtt
MedIm
181
10
0
07 Apr 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
IEEE Transactions on Medical Imaging (IEEE TMI), 2021
Cher Bass
Mariana da Silva
Carole Sudre
Logan Z. J. Williams
Petru-Daniel Tudosiu
F. Alfaro-Almagro
S. Fitzgibbon
M. Glasser
Stephen M. Smith
E. C. Robinson
184
39
0
03 Mar 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
International Conference on Medical Imaging with Deep Learning (MIDL), 2021
Soham Gadgil
Mark Endo
Emily Wen
A. Ng
Pranav Rajpurkar
267
12
0
21 Feb 2021
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedIm
FAtt
423
130
0
11 Jan 2021
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
Alzheimer's Research & Therapy (Alzheimers Res Ther), 2020
M. Dyrba
Moritz Hanzig
S. Altenstein
Sebastian Bader
Tommaso Ballarini
...
B. Ertl-Wagner
M. Wagner
J. Wiltfang
F. Jessen
S. Teipel
FAtt
MedIm
527
64
0
18 Dec 2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems
Adriano Lucieri
Muhammad Naseer Bajwa
Andreas Dengel
Sheraz Ahmed
382
16
0
26 Nov 2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Erico Tjoa
Cuntai Guan
XAI
FAtt
415
34
0
07 Sep 2020
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
medRxiv (medRxiv), 2020
N. Arun
N. Gaw
P. Singh
Ken Chang
M. Aggarwal
...
J. Patel
M. Gidwani
Julius Adebayo
M. D. Li
Jayashree Kalpathy-Cramer
FAtt
370
116
0
06 Aug 2020
Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs
Fabian Eitel
J. P. Albrecht
M. Weygandt
Friedemann Paul
K. Ritter
229
2
0
23 Jul 2020
Explainable deep learning models in medical image analysis
Journal of Imaging (JI), 2020
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
404
608
0
28 May 2020
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models
Information Fusion (Inf. Fusion), 2020
Jiamei Sun
Sebastian Lapuschkin
Wojciech Samek
Alexander Binder
FAtt
775
37
0
04 Jan 2020
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Erico Tjoa
Cuntai Guan
XAI
764
1,874
0
17 Jul 2019
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