Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1908.06943
Cited By
v1
v2 (latest)
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Scientific Reports (Sci Rep), 2019
15 August 2019
Miriam Hagele
P. Seegerer
Sebastian Lapuschkin
M. Bockmayr
Wojciech Samek
Frederick Klauschen
K. Müller
Alexander Binder
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Resolving challenges in deep learning-based analyses of histopathological images using explanation methods"
42 / 42 papers shown
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
Neural Information Processing Systems (NeurIPS), 2024
Julius Hense
M. J. Idaji
Oliver Eberle
Thomas Schnake
Jonas Dippel
Laure Ciernik
Oliver Buchstab
Andreas Mock
Frederick Klauschen
Klaus-Robert Müller
293
13
0
08 Jan 2025
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review
Abdullah Alharthi
Ahmed Alqurashi
Turki Alharbi
Mohammed Alammar
Nasser Aldosari
Houssem Bouchekara
Yusuf Shaaban
Mohammad Shoaib Shahriar
Abdulrahman Al Ayidh
355
0
0
11 Sep 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
Kiarash Sedghighadikolaei
Attila A Yavuz
323
7
0
29 Jun 2024
Analysis and Validation of Image Search Engines in Histopathology
Isaiah Lahr
Saghir Alfasly
Peyman Nejat
Jibran A. Khan
Luke Kottom
...
Chady Meroueh
Lisa Boardman
Vijay H. Shah
Joaquin J. Garcia
H. R. Tizhoosh
364
6
0
06 Jan 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
S. Kapse
Pushpak Pati
Srijan Das
Jingwei Zhang
Chao Chen
Maria Vakalopoulou
Joel H. Saltz
Dimitris Samaras
Rajarsi R. Gupta
Prateek Prasanna
365
30
0
22 Dec 2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification
Ziqi Yang
Zhongyu Li
Chen Liu
Xiangde Luo
Xingguang Wang
Dou Xu
Chao-Ting Li
Xiaoying Qin
Meng Yang
Long Jin
166
1
0
24 Aug 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Neural Information Processing Systems (NeurIPS), 2023
Marco Aversa
Gabriel Nobis
Miriam Hagele
Kai Standvoss
Mihaela Chirica
...
D. Ivanova
Wojciech Samek
Frederick Klauschen
B. Sanguinetti
Luis Oala
MedIm
350
32
0
23 Jun 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Information Fusion (Inf. Fusion), 2023
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
412
10
0
12 Apr 2023
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Nature Communications (Nat. Commun.), 2023
T. Chanda
Katja Hauser
S. Hobelsberger
Tabea-Clara Bucher
Carina Nogueira Garcia
...
J. Utikal
K. Ghoreschi
S. Fröhling
E. Krieghoff-Henning
T. Brinker
232
124
0
17 Mar 2023
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Rao Muhammad Umer
A. Gruber
Sayedali Shetab Boushehri
Christian Metak
Carsten Marr
OOD
251
9
0
14 Mar 2023
Multiple Instance Learning with Trainable Decision Tree Ensembles
A. Konstantinov
Lev V. Utkin
209
0
0
13 Feb 2023
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology
Marco Bertolini
Van-Khoa Le
Jake Pencharz
A. Poehlmann
Djork-Arné Clevert
Santiago D. Villalba
F. Montanari
233
2
0
03 Feb 2023
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
265
49
0
27 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Pattarawat Chormai
J. Herrmann
Klaus-Robert Muller
G. Montavon
FAtt
482
32
0
30 Dec 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
...
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
352
7
0
04 Nov 2022
Attention-based Interpretable Regression of Gene Expression in Histology
Mara Graziani
Niccolo Marini
Nicolas Deutschmann
Nikita Janakarajan
Henning Muller
María Rodríguez Martínez
MedIm
227
11
0
29 Aug 2022
Automatic Infectious Disease Classification Analysis with Concept Discovery
Elena Sizikova
Joshua Vendrow
Xu Cao
Rachel Grotheer
Jamie Haddock
...
Huy V. Vo
Chuntian Wang
Megan Coffee
Kathryn Leonard
Deanna Needell
261
5
0
28 Aug 2022
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Neural Information Processing Systems (NeurIPS), 2022
Syed Ashar Javed
Dinkar Juyal
Harshith Padigela
A. Taylor-Weiner
Limin Yu
Aaditya (Adi) Prakash
264
100
0
03 Jun 2022
Preparing data for pathological artificial intelligence with clinical-grade performance
Yuanqing Yang
K. Sun
Yanhua Gao
Kuang-Heng Wang
Gang Yu
OOD
179
1
0
22 May 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
International Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2022
Sami Ede
Serop Baghdadlian
Leander Weber
A. Nguyen
Dario Zanca
Wojciech Samek
Sebastian Lapuschkin
CLL
313
13
0
04 May 2022
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), 2022
A. Osio
Hoàng-Ân Lê
Samson Ayugi
F. Onyango
P. Odwe
Sébastien Lefèvre
97
3
0
14 Apr 2022
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
Maximilian Springenberg
A. Frommholz
M. Wenzel
Eva Weicken
Jackie Ma
Nils Strodthoff
MedIm
237
71
0
11 Apr 2022
Multi-Attention Multiple Instance Learning
A. Konstantinov
Lev V. Utkin
185
15
0
11 Dec 2021
Explaining Bayesian Neural Networks
Kirill Bykov
Marina M.-C. Höhne
Adelaida Creosteanu
Klaus-Robert Muller
Frederick Klauschen
Shinichi Nakajima
Matthias Kirchler
BDL
AAML
463
31
0
23 Aug 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
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
Vignesh Srinivasan
Nils Strodthoff
Jackie Ma
Alexander Binder
Klaus-Robert Muller
Wojciech Samek
OOD
213
7
0
25 Jun 2021
Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
288
9
0
02 Mar 2021
Hierarchical Graph Representations in Digital Pathology
Pushpak Pati
Guillaume Jaume
A. Foncubierta
Florinda Feroce
A. Anniciello
...
G. Botti
Jean-Philippe Thiran
Maria Frucci
O. Goksel
M. Gabrani
182
151
0
22 Feb 2021
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning
Frontiers in Artificial Intelligence (FAI), 2020
Silvan Mertes
Tobias Huber
Katharina Weitz
Alexander Heimerl
Elisabeth André
GAN
AAML
MedIm
402
110
0
22 Dec 2020
Towards Robust Explanations for Deep Neural Networks
Pattern Recognition (Pattern Recognit.), 2020
Ann-Kathrin Dombrowski
Christopher J. Anders
K. Müller
Pan Kessel
FAtt
320
67
0
18 Dec 2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Computer Vision and Pattern Recognition (CVPR), 2020
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
255
91
0
25 Nov 2020
It's All in the Name: A Character Based Approach To Infer Religion
Social Science Research Network (SSRN), 2020
Rochana Chaturvedi
Sugat Chaturvedi
191
27
0
27 Oct 2020
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
C. Vachet
Tolga Tasdizen
MedIm
174
6
0
04 Jul 2020
Towards Explainable Graph Representations in Digital Pathology
Guillaume Jaume
Pushpak Pati
A. Foncubierta-Rodríguez
Florinda Feroce
G. Scognamiglio
A. Anniciello
Jean-Philippe Thiran
O. Goksel
M. Gabrani
270
43
0
01 Jul 2020
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks
Kirill Bykov
Marina M.-C. Höhne
Klaus-Robert Muller
Shinichi Nakajima
Matthias Kirchler
UQCV
FAtt
415
34
0
16 Jun 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
472
87
0
17 Mar 2020
Verifying Deep Learning-based Decisions for Facial Expression Recognition
The European Symposium on Artificial Neural Networks (ESANN), 2020
Ines Rieger
René Kollmann
Bettina Finzel
Dominik Seuss
Ute Schmid
CVBM
FAtt
196
7
0
14 Feb 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
781
37
0
04 Jan 2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Scientific Reports (Sci Rep), 2020
Mahendra Khened
Avinash Kori
Haran Rajkumar
Balaji Srinivasan
Ganapathy Krishnamurthi
MedIm
LM&MA
692
209
0
01 Jan 2020
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Pattern Recognition (Pattern Recognit.), 2019
Seul-Ki Yeom
P. Seegerer
Sebastian Lapuschkin
Alexander Binder
Simon Wiedemann
K. Müller
Wojciech Samek
CVBM
352
256
0
18 Dec 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP
IEEE International Joint Conference on Neural Network (IJCNN), 2019
M. Kohlbrenner
Alexander Bauer
Shinichi Nakajima
Alexander Binder
Wojciech Samek
Sebastian Lapuschkin
467
170
0
22 Oct 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Machine Learning for Biomedical Imaging (MLBI), 2019
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
515
76
0
08 Sep 2019
1
Page 1 of 1
