Intelligent Total Body Scanner for Early Detection of Melanoma

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Third dedicated training modules for Melanoma Patient Advocates

Last dedicated training modules for Melanoma Patient Advocates including: Familial and recurrent Melanoma (as groups at specific risk).

Workshop for Melanoma advocates

A ‘Melanoma and Risk’ workshop will be carried out, targeting the European Melanoma Patient Advocacy Community and placing the project into patient context (genetics- familial Mel, polygenic risk, rare risk variants, risk scores; pathology of Melanoma, technology and imaging including relevance for Melanoma; implementation of early detection strategies in Europe; psycho-social impact of Early Melanoma.

First dedicated training modules for Melanoma Patient Advocates

First of the three dedicated training modules for Melanoma Patient Advocates: AI in medicine- benefits and risks.

Second dedicated training modules for Melanoma Patient Advocates

Second of the three dedicated training modules for Melanoma Patient Advocates: Risk scores.

iToBoS challenges, execution of two open challenges

The objective is the organization of two challenges: the first one for lesion detection and the second for lesion classification using the full body image datasets in combination with all the available information about every patient. These challenges, inspired by the ISIC challenge on skin image analysis, will facilitate advancements in the development of “cognitive assistants” and contribute to the knowledge dissemination in the field.In an effort to support the basic principle of Open Access to research data, iToBoS project aims at following best practice by retaining all the research data that will be produced (anonymised images, clinical history, genomics data, etc.) and preparing it to be shared through the organisation of a challenge in an international conference (i.e. MICCAI or similar), and its corresponding workshop.

Communication, Dissemination, Outreach and Engagement Plan (First release)

Communication Dissemination Outreach and Engagement Plan 1rst release containing the vision strategy and draft plan of opportunities targets and outcomes expected and baseline dissemination material regularly updated after delivery

Privacy, data protection, social and ethical impact assessment final report for iToBoS

Privacy, data protection, social and ethical impact assessment report for iToBoS - Final version

Report on status of posting results for the clinical feasibility study (250 new participants)

Test report on the feasibility of electronically collecting clinical, family history and demographic data, extractingphenotypic characteristics from imaging, assessing for genetic risk variants, and integrate all these data to generate a holistic risk in a timely manner (250 new participants).

Privacy, data protection, social and ethical issues preliminary guide for iToBoS design and development

10page readerfriendly preliminary guide outlining key privacy data protection socio cultural and ethical issues for the benefit of the partners gathering requirements for iToBoS

Social and Ethical Issues for AI in the medical context Briefing Paper

Social and Ethical Issues for AI in the medical context Briefing Paper.The paper will discuss (a) how the project will address societal and ethical values that might be affected by the application of the project’s solutions, including the extent to which these risks create new needs or burdens for citizens and patients, and (b) what measures can be taken to mitigate or avoid any harm to societal and ethical values including adherence to the 4 basic principles of medical ethics and resolving potential conflicts among them.

Communication, Dissemination, Outreach and Engagement activities (Final release).

Communication, Dissemination, Outreach and Engagement Activities (Final release), containing the Communitation, Dissemination and Outreach activities developed till the end of the project.

Report on transparency and interpretability of the iToBoS system

This Report on transparency and interpretability of the iToBoS system will develop novel techniques for approaching transparency that deal with issues such as algorithmic bias and interpretability.

Report on Usability Testing

Report on Usability Testing to verify the usability of the iToBoS system both by the medical professionals and by the patients. The validation will involve a group of medical professionals of the medical centres participating to the project (dermatologists, operators, nurses) accordingly differentiated in terms of age, gender, level of expertise and experience in dermatology, level of computer literacy).

Dissemination, outreach and liaison activities report

Dissemination outreach and liaison activities report summarizing all activities performed by the WPs results achieved by the partners and feedback obtained from the stakeholders

Guidance Recommendations for future implementation of AI in the medical context

This deliverable will report on socio-cultural and ethical considerations for future development and exploitation of the iToBoS technologies. It will generate guidance to assist future decision-makers and stakeholders in using the new technologies in the dermatological context, ensure the inclusiveness of the implementation of the system (gender, age, ability, genetics and ethnicity), strengthen interactions between users and team members, and establish and increase trust for the technologies.

Communication, Dissemination, Outreach and Engagement Plan (Second release)

Communication, Dissemination, Outreach and Engagement Plan (2nd release), containing the vision, strategy, and draft plan of opportunities, targets and outcomes expected and baseline dissemination material – regularly updated after delivery

Privacy, data protection, social and ethical impact assessment report for iToBoS

Privacy data protection social and ethical impact assessment report for iToBoS First version

Proposals for new standardization initiatives
Final Report on impact and learnings of patient involvement throughout iTobos

Final Report on impact and learnings of patient involvement throughout iTobos including recommendations for future projects

Patient engagement plan with touch points and educational needs

The patient engagement plan will ensure and document the consistent interaction between project partners of iToBoS with the European Melanoma patient advocacy community MPNE will further ensure the incorporation of patient input throughout the iToBoS project

Project web site including visual alignment to the strategy with initial content

Project web site including visual alignment to the strategy with initial content to be regularly updated

Second Data management plan aligned with FAIR principles and other initiatives including RDA and EOSC

Data management plan aligned with FAIR principles and other initiatives including RDA and EOSC Second version

First Data management plan aligned with FAIR principles and other initiatives including RDA and EOSC

Data management plan aligned with FAIR principles and other initiatives including RDA and EOSC First version

Final Data management plan aligned with FAIR principles and other initiatives including RDA and EOSC

Data management plan aligned with FAIR principles and other initiatives including RDA and EOSC - Final version

Publications

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark

Auteurs: Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
Publié dans: Journal of the Franklin Institute, 2024, ISSN 0016-0032
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.jfranklin.2023.11.038

AI privacy toolkit

Auteurs: Abigail Goldsteen, Ola Saadi, Ron Shmelkin, Shlomit Shachor, Natalia Razinkov
Publié dans: SoftwareX, 2023, Page(s) 101352, ISSN 2352-7110
Éditeur: Elsevier
DOI: 10.1016/j.softx.2023.101352

Genetic testing for familial melanoma

Auteurs: Primiero, Clare A., Maas, Ellie J., Wallingford, Courtney K., Soyer, H. Peter, and McInerney-Leo, Aideen M.
Publié dans: Italian Journal of Dermatology and Venereology, 2024, ISSN 2784-8450
Éditeur: Edizioni Minerva Medica
DOI: 10.23736/s2784-8671.23.07761-7

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond

Auteurs: Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Publié dans: Journal of Machine Learning Research, Numéro 24, 2023, Page(s) 1-11, ISSN 1532-4435
Éditeur: MIT Press
DOI: 10.5555/3648699.3648733

A narrative review: opportunities and challenges in artificial intelligence skin image analyses using total body photography

Auteurs: Primiero, Clare A., Rezze, Gisele Gargantini, Caffery, Liam J., Carrera, Cristina, Podlipnik, Sebastian, Espinosa, Natalia, Puig, Susana, Janda, Monika, Soyer, H. Peter, and Malvehy, Josep
Publié dans: Journal of Investigative Dermatology, 2024, ISSN 0022-202X
Éditeur: Blackwell Publishing Inc.
DOI: 10.1016/j.jid.2023.11.007

Mueller Matrix Microscopy for In Vivo Scar Tissue Diagnostics and Treatment Evaluation

Auteurs: Lennart Jütte; Bernhard Roth
Publié dans: Sensors; Volume 22; Numéro 23; Pages: 9349, Numéro 2, 2022, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22239349

Explainable Ai for Time Series Via Virtual Inspection Layers

Auteurs: Johanna Vielhaben; Sebastian Lapuschkin; Grégoire Montavon; Wojciech Samek
Publié dans: Pattern Recognition, Numéro 150, 2023, ISSN 0031-3203
Éditeur: Pergamon Press
DOI: 10.1016/j.patcog.2024.110309

A group of three miRNAs can act as candidate circulating biomarkers in liquid biopsies from melanoma patients

Auteurs: De Martino, E., Gandin, I., Azzalini, E., Massone, C., Pizzichetta, M. A., Giulioni, E., Javor, S., Pinzani, C., Conforti, C., Zalaudek, I., Bonin, S.
Publié dans: Frontiers in Medicine, Numéro Vol. 10, 2023, Page(s) 1180799, ISSN 2296-858X
Éditeur: Frontiers
DOI: 10.3389/fmed.2023.1180799

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Auteurs: Andreas Holzinger; Andreas Holzinger; Matthias Dehmer; Frank Emmert-Streib; Rita Cucchiara; Isabelle Augenstein; Javier Del Ser; Wojciech Samek; Igor Jurisica; Natalia Díaz-Rodríguez
Publié dans: Information Fusion, Numéro 79, 2022, Page(s) 263-278, ISSN 1566-2535
Éditeur: Elsevier BV
DOI: 10.1016/j.inffus.2021.10.007

Beyond explaining: Opportunities and challenges of XAI-based model improvement

Auteurs: Leander Weber; Sebastian Lapuschkin; Alexander Binder; Wojciech Samek
Publié dans: Information Fusion, Numéro 92, 2023, Page(s) 154-176, ISSN 1566-2535
Éditeur: Elsevier BV
DOI: 10.1016/j.inffus.2022.11.013

Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark.

Auteurs: David Bojani, Kristijan Bartol, Josep Forest3, Tomislav Petkovi, Tomislav Pribanic.
Publié dans: Machine Vision and Applications., 2024, ISSN 1432-1769
Éditeur: Springer link
DOI: 10.1007/s00138-024-01510-w

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

Auteurs: Hedström, Anna; Bommer, Philine; Wickstrøm, Kristoffer K.; Samek, Wojciech; Lapuschkin, Sebastian; Höhne, Marina M. -C.
Publié dans: Transactions on Machine Learning Research, Numéro 2023, 2023, ISSN 1532-4435
Éditeur: MIT Press
DOI: 10.48550/arxiv.2302.07265

Registration of polarimetric images for in vivo skin diagnostics

Auteurs: Lennart Jütte, Gaurav Sharma, Harshkumar Patel, and Bernhard Roth
Publié dans: Journal of Biomedical Optics, Numéro 27(9), 2022, Page(s) 096001-1 - 096001-16, ISSN 1083-3668
Éditeur: S P I E - International Society for Optical Engineering
DOI: 10.1117/1.jbo.27.9.096001

Explain and improve: LRP-inference fine-tuning for image captioning models

Auteurs: Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
Publié dans: Information Fusion, Numéro Vol 77, January 2022, 2022, Page(s) 233-246, ISSN 1566-2535
Éditeur: Elsevier BV
DOI: 10.1016/j.inffus.2021.07.008

Green synthesis of gold nanoparticles: pros and cons of natural compounds

Auteurs: Caterina Medeot, Ahmed Alsadig, Francesco D’Amico, Roberto Costantini, Claudio Lentini Campallegio, Albano Cossaro, Hendrik Vondracek, Giovanni Birarda, Paola Posocco, Pietro Parisse, Loredana Casalis, Serena Bonin
Publié dans: Nano Express, Numéro 5, 2024, Page(s) 045020, ISSN 2632-959X
Éditeur: IOP Science
DOI: 10.1088/2632-959x/ad9f85

Advancing dermoscopy through a synthetic hair benchmark dataset and deep learning-based hair removal

Auteurs: Lennart Jütte, Harshkumar Patel, Bernhard Roth
Publié dans: Journal of Biomedical Optics, Numéro 12, 2024, Page(s) 17, ISSN 1560-2281
Éditeur: SPIE
DOI: 10.1117/1.jbo.29.11.116003

Finding and removing Clever Hans: Using explanation methods to debug and improve deep models

Auteurs: Christopher J Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Publié dans: Information Fusion, Numéro Vol 77, January 2022, 2022, Page(s) 261-295, ISSN 1566-2535
Éditeur: Elsevier BV
DOI: 10.1016/j.inffus.2021.07.015

Association of germline variants in telomere maintenance genes (POT1, TERF2IP, ACD, and TERT) with spitzoid morphology in familial melanoma: A multi-center case series

Auteurs: Alisa M. Goldstein, PhD, Richard Qin, BS, Emily Y. Chu, MD, PhD, David E. Elder, MBChB, Daniela Massi, MD, PhD, David J. Adams, PhD, Paul W. Harms, MD, PhD, Carla Daniela Robles-Espinoza, PhD, Julia A. Newton-Bishop, MD, PhD, D. Timothy Bishop, PhD, Mark Harland, PhD, Elizabeth A. Holland, BSc, Anne E. Cust, PhD, Helen Schmid, MPH, Graham J. Mann, MBBS, PhD, Susana Puig, MD, PhD, Miriam Potrony, P
Publié dans: Journal of the American Academy of Dermatology (JAAD) International, Numéro 11, 2023, Page(s) 43-51, ISSN 2666-3287
Éditeur: Elsevier
DOI: 10.1016/j.jdin.2023.01.013

Monitoring of multiple fabrication parameters of electrospun polymer fibers using mueller matrix analysis

Auteurs: Gaurav Sharma, Lennart Jütte, Jigar Gopani, Jules Brehme, Axel Günther, Ralf Sindelar, Franz Renz and Bernhard Roth
Publié dans: Journal of Optics, Numéro 26(4), 2024, ISSN 2040-8986
Éditeur: IoP Publishing
DOI: 10.1088/2040-8986/ad2ca4

Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective

Auteurs: Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Gregoire Montavon
Publié dans: IEEE Signal Processing Magazine, Numéro 39, 2022, ISSN 1053-5888
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2022.3153277

Unraveling the Complex Nexus of Human Papillomavirus (HPV) in Extragenital Keratinocyte Skin Tumors: A Comprehensive Analysis of Bowen’s Disease and In Situ Squamous-Cell Carcinoma.

Auteurs: Conforti C., Retrosi C., Agozzino M., Dianzani C., Nardon E., Oliveri A., Azzalini E., Guida S., Pellacani G., Di Lella G., Rongioletti F., Zalaudek I., Bonin, S.
Publié dans: Journal of Clinical Medicine, 2024, ISSN 2077-0383
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm13041091

Impact of standardization in tissue processing: the performance of different fixatives.

Auteurs: De Martino, E., Medeot, C., D’Amico, L., Stanta, G., Bonin, S.
Publié dans: New Biotechnology, Numéro Vol. 71, 2022, Page(s) 30-36, ISSN 1871-6784
Éditeur: Elsevier BV
DOI: 10.1016/j.nbt.2022.07.001

Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain

Auteurs: Simon M Hofmann, Frauke Beyer, Sebastian Lapuschkin, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, A. Veronica Witte
Publié dans: NeuroImage, Numéro 261, 2022, ISSN 1053-8119
Éditeur: Academic Press
DOI: 10.1016/j.neuroimage.2022.119504

Going Smaller: Attention-based models for automated melanoma diagnosis

Auteurs: Sana Nazari, Rafael Garcia
Publié dans: Computers in Biology and Medicine, Numéro 185, 2024, Page(s) 109492, ISSN 0010-4825
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2024.109492

CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations

Auteurs: Leila Arras, Ahmed Osman, Wojciech Samek
Publié dans: Information Fusion, Numéro Vol. 81, 2021, Page(s) 14-40, ISSN 1566-2535
Éditeur: Elsevier BV
DOI: 10.1016/j.inffus.2021.11.008

Skin 2.0: How Cutaneous Digital Twins Could Reshape Dermatology

Auteurs: Primiero, Clare A., Janda, Monika, and Soyer, H. Peter
Publié dans: Journal of Investigative Dermatology, Numéro 159, 2024, ISSN 0022-202X
Éditeur: Blackwell Publishing Inc.
DOI: 10.1016/j.jid.2024.07.011

Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education

Auteurs: Lennart Jütte, Sandra González-Villà, Josep Quintana, Martin Steven, Rafael Garcia, Bernhard Roth
Publié dans: Frontiers in Medicine, Numéro 12, 2024, Page(s) 15, ISSN 2296-858X
Éditeur: Frontiers
DOI: 10.3389/fmed.2024.1445318

Tanorexia criteria for better understanding sun overexposure in one of the Italian leading towns for melanoma incidence

Auteurs: Nicola DI MEO, Giulia BAZZACCO, Mattia FADEL, Dante R. CAPOSIENA, Marina AGOZZINO, Claudio CONFORTI, Eros AZZALINI, Serena BONIN, Iris ZALAUDEK
Publié dans: Italian Journal of Dermatology and Venereology, 2024, ISSN 2784-8450
Éditeur: Minerva Medica
DOI: 10.23736/s2784-8671.24.08015-0

Focus stacking in non-contact dermoscopy

Auteurs: Lennart Jütte; Zhiyao Yang; Gaurav Sharma; Bernhard Roth
Publié dans: Biomedical Physics & Engineering Express 8 (2022), Nr. 6, Numéro 3, 2022, ISSN 2057-1976
Éditeur: IOP Publishing
DOI: 10.1088/2057-1976/ac9847

Evaluating deep transfer learning for whole-brain cognitive decoding

Auteurs: Armin W. Thomas; Ulman Lindenberger; Wojciech Samek; Klaus-Robert Müller
Publié dans: Journal of the Franklin Institute, Numéro 360, 2023, Page(s) 9754-9787, ISSN 0016-0032
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.jfranklin.2023.07.015

Explaining predictive uncertainty by exposing second-order effects

Auteurs: Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon
Publié dans: Pattern Recognition, Numéro 160, 2025, ISSN 0031-3203
Éditeur: Pergamon Press

A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification

Auteurs: Primiero, Clare A., Betz-Stablein, Brigid, Ascott, Nathan, D’Alessandro, Brian, Gaborit, Seraphin, Fricker, Paul, Goldsteen, Abigail, González-Villà, Sandra, Lee, Katie, Nazari, Sana, Nguyen, Hang, Ntouskos, Valsamis, Pahde, Frederik, Pataki, Balázs E., Quintana, Josep, Puig, Susana, Rezze, Gisele G., Garcia, Rafael, Soyer, H. Peter, and Malvehy, Josep
Publié dans: Frontiers in Medicine, 2024, ISSN 2296-858X
Éditeur: Frontiers Media SA
DOI: 10.3389/fmed.2024.1380984

Explaining Machine Learning Models for Clinical Gait Analysis

Auteurs: Djordje Slijepcevic, Fabian Horst, Sebastian Lapuschkin, Brian Horsak, Anna-Maria Raberger, Andreas Kranzl, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
Publié dans: ACM Transactions on Computing for Healthcare, Numéro Vol 3, No 2, 2022, Page(s) 1-27, ISSN 2691-1957
Éditeur: Association for Computing Machinery
DOI: 10.1145/3474121

Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review

Auteurs: Nazari, S.; Garcia, R.
Publié dans: Life 2023, 13, 2123., 2023, ISSN 2075-1729
Éditeur: MDPI
DOI: 10.3390/life13112123

Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project

Auteurs: Niamh Aspell Abigail Goldsteen Robin Renwick
Publié dans: Frontiers in Digital Health: Trustworthy AI for Healthcare, Numéro Volume 6, 2024, ISSN 2673-253X
Éditeur: Frontiers in Digital Health
DOI: 10.3389/fdgth.2024.1272709

Improved Polarimetric Analysis of Human Skin through Stitching: Advantages, Limitations, and Applications in Dermatology

Auteurs: Lennart Jütte, Harshkumar Patel, Bernhard Roth
Publié dans: Biomedical Physics and Engineering Express, Numéro 10, 2024, Page(s) 015007, ISSN 2057-1976
Éditeur: IOP Publishing
DOI: 10.1088/2057-1976/ad0e87

Perspectives for Generative AI-Assisted Art Therapy for Melanoma Patients

Auteurs: Lennart Jütte, Ning Wang, Martin Steven, Bernhard Roth
Publié dans: AI, Numéro 5, 2025, Page(s) 1648-1669, ISSN 2673-2688
Éditeur: MDPI
DOI: 10.3390/ai5030080

A Fresh Look at Sanity Checks for Saliency Maps

Auteurs: Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina Höhne
Publié dans: Explainable Artificial Intelligence, 2024
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-63787-2_21

Keep It SimPool:Who Said Supervised Transformers Suffer from Attention Deficit?

Auteurs: Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos, Yannis Avrithis
Publié dans: IEEE/CVF International Conference on Computer Vision, 2023
Éditeur: IEEE
DOI: 10.1109/iccv51070.2023.00493

Optimizing Explanations by Network Canonization and Hyperparameter Search

Auteurs: Pahde, Frederik; Ümit Yolcu, Galip; Binder, Alexander; Samek, Wojciech; Lapuschkin, Sebastian
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, Page(s) 3819-3828
Éditeur: IEEE
DOI: 10.1109/cvprw59228.2023.00396

XAI-based Comparison of Audio Event Classifiers with different Input Representations

Auteurs: Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
Publié dans: CBMI 2023: 20th International Conference on Content-based Multimedia Indexing, 2023, ISBN 979-8-4007-0912-8
Éditeur: Association for Computing Machinery
DOI: 10.1145/3617233.3617265

Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression

Auteurs: Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
Éditeur: IEEE
DOI: 10.48550/arxiv.2404.09601

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain

Auteurs: Abigail Goldsteen, Ariel Farkash, Micha Moffie, Ron Shmelkin
Publié dans: Studies in Health Technology and Informatics, Numéro 294, 2022, Page(s) 121 - 122
Éditeur: IOS Press
DOI: 10.3233/shti220410

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Auteurs: Binder, Alexander; Weber, Leander; Lapuschkin, Sebastian; Montavon, Gregoire; Müller, Klaus-Robert; Samek, Wojciech
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Numéro 2023, 2023, Page(s) 16143-16152
Éditeur: IEEE
DOI: 10.1109/cvpr52729.2023.01549

From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space

Auteurs: Maximilian Dreyer, Frederik Pahde, Christopher Anders, Wojciech Samek, Sebastian Lapuschkin
Publié dans: Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Éditeur: AAAI Press
DOI: 10.1609/aaai.v38i19.30096

Human-Centered Evaluation of XAI Methods

Auteurs: Dawoud, Karam; Samek, Wojciech; Eisert, Peter; Lapuschkin, Sebastian; Bosse, Sebastian
Publié dans: IEEE International Conference on Data Mining Workshops, Numéro 10, 2023, ISBN 979-8-3503-8164-1
Éditeur: IEEE
DOI: 10.48550/arxiv.2310.07534

SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers

Auteurs: Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis
Publié dans: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Page(s) 22776-22786, ISBN 979-8-3503-5300-6
Éditeur: IEEE
DOI: 10.1109/cvpr52733.2024.02149

Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations

Auteurs: Maximilian Dreyer; Reduan Achtibat; Thomas Wiegand; Wojciech Samek; Sebastian Lapuschkin
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, Page(s) 3829-3839
Éditeur: IEEE
DOI: 10.1109/cvprw59228.2023.00397

OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters

Auteurs: Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
Publié dans: Advances in Neural Information Processing Systems, Numéro 35, 2022, Page(s) 12491-12503
Éditeur: Neural information processing systems foundation

Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification

Auteurs: Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
Publié dans: Explainable Artificial Intelligence, 2024
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-63797-1_11

Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI

Auteurs: Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
Publié dans: International Cross-Domain Conference for Machine Learning and Knowledge Extraction, 2022, ISBN 978-3-031-14462-2
Éditeur: Springer-Verlag
DOI: 10.1007/978-3-031-14463-9_1

PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits

Auteurs: Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024
Éditeur: IEEE
DOI: 10.48550/arxiv.2404.06453

Measurably Stronger Explanation Reliability via Model Canonization

Auteurs: Franz Motzkus, Leander Weber, Sebastian Lapuschkin
Publié dans: Proceedings of the IEEE International Conference on Image Processing (ICIP), 2022, Page(s) 516-520, ISBN 978-1-6654-9620-9
Éditeur: IEEE
DOI: 10.1109/icip46576.2022.9897282

Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations

Auteurs: Dreyer, Maximilian; Achtibat, Reduan; Samek, Wojciech; Lapuschkin, Sebastian
Publié dans: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
Éditeur: IEEE
DOI: 10.48550/arxiv.2311.16681

Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

Auteurs: Pahde, Frederik; Dreyer, Maximilian; Samek, Wojciech; Lapuschkin, Sebastian
Publié dans: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023, Page(s) 596–606
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-43895-0_56

What to Hide from Your Students: Attention-Guided Masked Image Modeling

Auteurs: Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
Publié dans: European Conference on Computer Vision, Numéro 13690, 2022, Page(s) 300-318
Éditeur: Springer
DOI: 10.1007/978-3-031-20056-4_18

xxAI - Beyond Explainable Artificial Intelligence

Auteurs: Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
Publié dans: xxAI - Beyond Explainable AI, 2022, Page(s) 3-10, ISBN 978-3-031-04082-5
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-04083-2_1

Explaining the Predictions of Unsupervised Learning Models

Auteurs: Grégoire Montavon, Jacob Kauffmann, Wojciech Samek, Klaus-Robert Müller
Publié dans: xxAI - Beyond Explainable AI, 2022, Page(s) 117-138, ISBN 978-3-031-04083-2
Éditeur: Springer
DOI: 10.1007/978-3-031-04083-2_7

Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers

Auteurs: Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Publié dans: Lecture Notes in Computer Science, Computer Vision – ECCV 2024 Workshops, 2025, Page(s) 152-169
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-92648-8_10

Explainable AI Methods - A Brief Overview

Auteurs: Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek
Publié dans: xxAI - Beyond Explainable AI, 2022, Page(s) 13-38, ISBN 978-3-031-04082-5
Éditeur: Springer
DOI: 10.1007/978-3-031-04083-2_2

ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs

Auteurs: Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin
Publié dans: xxAI - Beyond Explainable AI, 2022, Page(s) 271-296, ISBN 978-3-031-04083-2
Éditeur: Springer
DOI: 10.1007/978-3-031-04083-2_14

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