Intelligent Total Body Scanner for Early Detection of Melanoma

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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 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

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

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

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

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.

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

Publications

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

Author(s): Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
Published in: Journal of the Franklin Institute, 2024, ISSN 0016-0032
Publisher: Pergamon Press Ltd.

AI privacy toolkit

Author(s): Abigail Goldsteen, Ola Saadi, Ron Shmelkin, Shlomit Shachor, Natalia Razinkov
Published in: SoftwareX, 2023, Page(s) 101352, ISSN 2352-7110
Publisher: Elsevier
DOI: 10.1016/j.softx.2023.101352

Genetic testing for familial melanoma

Author(s): Primiero, Clare A., Maas, Ellie J., Wallingford, Courtney K., Soyer, H. Peter, and McInerney-Leo, Aideen M.
Published in: Italian Journal of Dermatology and Venereology, 2024, ISSN 2784-8450
Publisher: 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

Author(s): Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Published in: Journal of Machine Learning Research, Issue 24, 2023, Page(s) 1-11, ISSN 1532-4435
Publisher: MIT Press

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

Author(s): 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
Published in: Journal of Investigative Dermatology, 2024, ISSN 0022-202X
Publisher: Blackwell Publishing Inc.
DOI: 10.1016/j.jid.2023.11.007

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

Author(s): Lennart Jütte; Bernhard Roth
Published in: Sensors; Volume 22; Issue 23; Pages: 9349, Issue 2, 2022, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22239349

Explainable Ai for Time Series Via Virtual Inspection Layers

Author(s): Johanna Vielhaben; Sebastian Lapuschkin; Grégoire Montavon; Wojciech Samek
Published in: Pattern Recognition, Issue 150, 2023, ISSN 0031-3203
Publisher: 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

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

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

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

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

Author(s): Leander Weber; Sebastian Lapuschkin; Alexander Binder; Wojciech Samek
Published in: Information Fusion, Issue 92, 2023, Page(s) 154-176, ISSN 1566-2535
Publisher: 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.

Author(s): David Bojani, Kristijan Bartol, Josep Forest3, Tomislav Petkovi, Tomislav Pribanic.
Published in: Machine Vision and Applications., 2024, ISSN 1432-1769
Publisher: Springer link
DOI: 10.1007/s00138-024-01510-w

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

Author(s): Hedström, Anna; Bommer, Philine; Wickstrøm, Kristoffer K.; Samek, Wojciech; Lapuschkin, Sebastian; Höhne, Marina M. -C.
Published in: Transactions on Machine Learning Research, Issue 2023, 2023, ISSN 1532-4435
Publisher: MIT Press
DOI: 10.48550/arxiv.2302.07265

Registration of polarimetric images for in vivo skin diagnostics

Author(s): Lennart Jütte, Gaurav Sharma, Harshkumar Patel, and Bernhard Roth
Published in: Journal of Biomedical Optics, Issue 10833668, 2022, Page(s) 096001-1 - 096001-16, ISSN 1083-3668
Publisher: 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

Author(s): Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
Published in: Information Fusion, Issue Vol 77, January 2022, 2022, Page(s) 233-246, ISSN 1566-2535
Publisher: Elsevier BV
DOI: 10.1016/j.inffus.2021.07.008

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

Author(s): 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
Published in: Nano Express, Issue 5, 2024, Page(s) 045020, ISSN 2632-959X
Publisher: IOP Science
DOI: 10.1088/2632-959x/ad9f85

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

Author(s): Lennart Jütte, Harshkumar Patel, Bernhard Roth
Published in: Journal of Biomedical Optics, Issue 12, 2024, Page(s) 17, ISSN 1560-2281
Publisher: SPIE
DOI: 10.1117/1.jbo.29.11.116003

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

Author(s): Christopher J Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Published in: Information Fusion, Issue Vol 77, January 2022, 2022, Page(s) 261-295, ISSN 1566-2535
Publisher: 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

Author(s): 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
Published in: Journal of the American Academy of Dermatology (JAAD) International, Issue 11, 2023, Page(s) 43-51, ISSN 2666-3287
Publisher: Elsevier
DOI: 10.1016/j.jdin.2023.01.013

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

Author(s): Gaurav Sharma, Lennart Jütte, Jigar Gopani, Jules Brehme, Axel Günther, Ralf Sindelar, Franz Renz and Bernhard Roth
Published in: Journal of Optics, Issue 26(4), 2024, ISSN 2040-8986
Publisher: IoP Publishing
DOI: 10.1088/2040-8986/ad2ca4

Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective

Author(s): Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Gregoire Montavon
Published in: IEEE Signal Processing Magazine, Issue 39, 2022, ISSN 1053-5888
Publisher: 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.

Author(s): 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.
Published in: Journal of Clinical Medicine, 2024, ISSN 2077-0383
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm13041091

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

Author(s): De Martino, E., Medeot, C., D’Amico, L., Stanta, G., Bonin, S.
Published in: New Biotechnology, Issue Vol. 71, 2022, Page(s) 30-36, ISSN 1871-6784
Publisher: 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

Author(s): Simon M Hofmann, Frauke Beyer, Sebastian Lapuschkin, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, A. Veronica Witte
Published in: NeuroImage, Issue 10538119, 2022, ISSN 1053-8119
Publisher: Academic Press
DOI: 10.1016/j.neuroimage.2022.119504

Going Smaller: Attention-based models for automated melanoma diagnosis

Author(s): Sana Nazari, Rafael Garcia
Published in: Computers in Biology and Medicine, Issue 185, 2024, Page(s) 109492, ISSN 0010-4825
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2024.109492

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

Author(s): Leila Arras, Ahmed Osman, Wojciech Samek
Published in: Information Fusion, Issue Vol. 81, 2021, Page(s) 14-40, ISSN 1566-2535
Publisher: Elsevier BV
DOI: 10.1016/j.inffus.2021.11.008

Skin 2.0: How Cutaneous Digital Twins Could Reshape Dermatology

Author(s): Primiero, Clare A., Janda, Monika, and Soyer, H. Peter
Published in: Journal of Investigative Dermatology, Issue 159, 2024, ISSN 0022-202X
Publisher: 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

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

Focus stacking in non-contact dermoscopy

Author(s): Lennart Jütte; Zhiyao Yang; Gaurav Sharma; Bernhard Roth
Published in: Biomedical Physics & Engineering Express 8 (2022), Nr. 6, Issue 3, 2022, ISSN 2057-1976
Publisher: IOP Publishing
DOI: 10.1088/2057-1976/ac9847

Evaluating deep transfer learning for whole-brain cognitive decoding

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

Explaining predictive uncertainty by exposing second-order effects

Author(s): Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon
Published in: Pattern Recognition, Issue 160, 2025, ISSN 0031-3203
Publisher: Pergamon Press

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

Author(s): 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
Published in: Frontiers in Medicine, 2024, ISSN 2296-858X
Publisher: Frontiers Media SA
DOI: 10.3389/fmed.2024.1380984

Explaining Machine Learning Models for Clinical Gait Analysis

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

Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review

Author(s): Nazari, S.; Garcia, R.
Published in: Life 2023, 13, 2123., 2023, ISSN 2075-1729
Publisher: MDPI
DOI: 10.3390/life13112123

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

Author(s): Niamh Aspell Abigail Goldsteen Robin Renwick
Published in: Frontiers in Digital Health: Trustworthy AI for Healthcare, Issue Volume 6, 2024, ISSN 2673-253X
Publisher: Frontiers in Digital Health
DOI: 10.3389/fdgth.2024.1272709

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

Author(s): Lennart Jütte, Harshkumar Patel, Bernhard Roth
Published in: Biomedical Physics and Engineering Express, Issue 10, 2024, Page(s) 015007, ISSN 2057-1976
Publisher: IOP Publishing
DOI: 10.1088/2057-1976/ad0e87

Perspectives for Generative AI-Assisted Art Therapy for Melanoma Patients

Author(s): Lennart Jütte, Ning Wang, Martin Steven, Bernhard Roth
Published in: AI, Issue 5, 2025, Page(s) 1648-1669, ISSN 2673-2688
Publisher: MDPI
DOI: 10.3390/ai5030080

A Fresh Look at Sanity Checks for Saliency Maps

Author(s): Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina Höhne
Published in: Explainable Artificial Intelligence, 2024
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-63787-2_21

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

Author(s): Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos, Yannis Avrithis
Published in: IEEE/CVF International Conference on Computer Vision, 2023
Publisher: IEEE
DOI: 10.1109/iccv51070.2023.00493

Optimizing Explanations by Network Canonization and Hyperparameter Search

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

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

Author(s): Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
Published in: CBMI 2023: 20th International Conference on Content-based Multimedia Indexing, 2023, ISBN 979-8-4007-0912-8
Publisher: Association for Computing Machinery
DOI: 10.1145/3617233.3617265

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

Author(s): Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
Publisher: IEEE
DOI: 10.48550/arxiv.2404.09601

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain

Author(s): Abigail Goldsteen, Ariel Farkash, Micha Moffie, Ron Shmelkin
Published in: Studies in Health Technology and Informatics, Issue 294, 2022, Page(s) 121 - 122
Publisher: IOS Press
DOI: 10.3233/shti220410

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

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

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

Author(s): Maximilian Dreyer, Frederik Pahde, Christopher Anders, Wojciech Samek, Sebastian Lapuschkin
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Publisher: AAAI Press
DOI: 10.1609/aaai.v38i19.30096

Human-Centered Evaluation of XAI Methods

Author(s): Dawoud, Karam; Samek, Wojciech; Eisert, Peter; Lapuschkin, Sebastian; Bosse, Sebastian
Published in: IEEE International Conference on Data Mining Workshops, Issue 10, 2023, ISBN 979-8-3503-8164-1
Publisher: IEEE
DOI: 10.48550/arxiv.2310.07534

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

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

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

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

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

Author(s): Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
Published in: Advances in Neural Information Processing Systems, Issue 35, 2022, Page(s) 12491-12503
Publisher: Neural information processing systems foundation

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

Author(s): Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
Published in: Explainable Artificial Intelligence, 2024
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-63797-1_11

Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI

Author(s): Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
Published in: International Cross-Domain Conference for Machine Learning and Knowledge Extraction, 2022, ISBN 978-3-031-14462-2
Publisher: Springer-Verlag
DOI: 10.1007/978-3-031-14463-9_1

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

Author(s): Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024
Publisher: IEEE
DOI: 10.48550/arxiv.2404.06453

Measurably Stronger Explanation Reliability via Model Canonization

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

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

Author(s): Dreyer, Maximilian; Achtibat, Reduan; Samek, Wojciech; Lapuschkin, Sebastian
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
Publisher: IEEE
DOI: 10.48550/arxiv.2311.16681

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

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

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

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

xxAI - Beyond Explainable Artificial Intelligence

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

Explaining the Predictions of Unsupervised Learning Models

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

Explainable AI Methods - A Brief Overview

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

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

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

Searching for OpenAIRE data...

Deliverables

Publications

Share this page Share this page on social networks

Download Download the content of the page