Intelligent Total Body Scanner for Early Detection of Melanoma

Risultati finali

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

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

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

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

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

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.

Pubblicazioni

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

Autori: Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
Pubblicato in: Journal of the Franklin Institute, 2024, ISSN 0016-0032
Editore: Pergamon Press Ltd.

AI privacy toolkit

Autori: Abigail Goldsteen, Ola Saadi, Ron Shmelkin, Shlomit Shachor, Natalia Razinkov
Pubblicato in: SoftwareX, 2023, Pagina/e 101352, ISSN 2352-7110
Editore: Elsevier
DOI: 10.1016/j.softx.2023.101352

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

Autori: Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Pubblicato in: Journal of Machine Learning Research, Numero 24, 2023, Pagina/e 1-11, ISSN 1532-4435
Editore: MIT Press

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

Autori: Lennart Jütte; Bernhard Roth
Pubblicato in: Sensors; Volume 22; Numero 23; Pages: 9349, Numero 2, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22239349

Explainable Ai for Time Series Via Virtual Inspection Layers

Autori: Johanna Vielhaben; Sebastian Lapuschkin; Grégoire Montavon; Wojciech Samek
Pubblicato in: Pattern Recognition, Numero 150, 2023, ISSN 0031-3203
Editore: 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

Autori: De Martino, E., Gandin, I., Azzalini, E., Massone, C., Pizzichetta, M. A., Giulioni, E., Javor, S., Pinzani, C., Conforti, C., Zalaudek, I., Bonin, S.
Pubblicato in: Frontiers in Medicine, Numero Vol. 10, 2023, Pagina/e 1180799, ISSN 2296-858X
Editore: Frontiers
DOI: 10.3389/fmed.2023.1180799

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

Autori: Andreas Holzinger; Andreas Holzinger; Matthias Dehmer; Frank Emmert-Streib; Rita Cucchiara; Isabelle Augenstein; Javier Del Ser; Wojciech Samek; Igor Jurisica; Natalia Díaz-Rodríguez
Pubblicato in: Information Fusion, Numero 79, 2022, Pagina/e 263-278, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2021.10.007

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

Autori: Leander Weber; Sebastian Lapuschkin; Alexander Binder; Wojciech Samek
Pubblicato in: Information Fusion, Numero 92, 2023, Pagina/e 154-176, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2022.11.013

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

Autori: Hedström, Anna; Bommer, Philine; Wickstrøm, Kristoffer K.; Samek, Wojciech; Lapuschkin, Sebastian; Höhne, Marina M. -C.
Pubblicato in: Transactions on Machine Learning Research, Numero 2023, 2023, ISSN 1532-4435
Editore: MIT Press
DOI: 10.48550/arxiv.2302.07265

Registration of polarimetric images for in vivo skin diagnostics

Autori: Lennart Jütte, Gaurav Sharma, Harshkumar Patel, and Bernhard Roth
Pubblicato in: Journal of Biomedical Optics, Numero 10833668, 2022, Pagina/e 096001-1 - 096001-16, ISSN 1083-3668
Editore: 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

Autori: Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
Pubblicato in: Information Fusion, Numero Vol 77, January 2022, 2022, Pagina/e 233-246, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2021.07.008

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

Autori: Christopher J Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Pubblicato in: Information Fusion, Numero Vol 77, January 2022, 2022, Pagina/e 261-295, ISSN 1566-2535
Editore: 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

Autori: 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
Pubblicato in: Journal of the American Academy of Dermatology (JAAD) International, Numero 11, 2023, Pagina/e 43-51, ISSN 2666-3287
Editore: Elsevier
DOI: 10.1016/j.jdin.2023.01.013

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

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

Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective

Autori: Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Gregoire Montavon
Pubblicato in: IEEE Signal Processing Magazine, Numero 39, 2022, ISSN 1053-5888
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2022.3153277

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

Autori: De Martino, E., Medeot, C., D’Amico, L., Stanta, G., Bonin, S.
Pubblicato in: New Biotechnology, Numero Vol. 71, 2022, Pagina/e 30-36, ISSN 1871-6784
Editore: 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

Autori: Simon M Hofmann, Frauke Beyer, Sebastian Lapuschkin, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, A. Veronica Witte
Pubblicato in: NeuroImage, Numero 10538119, 2022, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2022.119504

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

Autori: Leila Arras, Ahmed Osman, Wojciech Samek
Pubblicato in: Information Fusion, Numero Vol. 81, 2021, Pagina/e 14-40, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2021.11.008

Focus stacking in non-contact dermoscopy

Autori: Lennart Jütte; Zhiyao Yang; Gaurav Sharma; Bernhard Roth
Pubblicato in: Biomedical Physics & Engineering Express 8 (2022), Nr. 6, Numero 3, 2022, ISSN 2057-1976
Editore: IOP Publishing
DOI: 10.1088/2057-1976/ac9847

Evaluating deep transfer learning for whole-brain cognitive decoding

Autori: Armin W. Thomas; Ulman Lindenberger; Wojciech Samek; Klaus-Robert Müller
Pubblicato in: Journal of the Franklin Institute, Numero 360, 2023, Pagina/e 9754-9787, ISSN 0016-0032
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.jfranklin.2023.07.015

Explaining Machine Learning Models for Clinical Gait Analysis

Autori: Djordje Slijepcevic, Fabian Horst, Sebastian Lapuschkin, Brian Horsak, Anna-Maria Raberger, Andreas Kranzl, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
Pubblicato in: ACM Transactions on Computing for Healthcare, Numero Vol 3, No 2, 2022, Pagina/e 1-27, ISSN 2691-1957
Editore: Association for Computing Machinery
DOI: 10.1145/3474121

Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review

Autori: Nazari, S.; Garcia, R.
Pubblicato in: Life 2023, 13, 2123., 2023, ISSN 2075-1729
Editore: MDPI
DOI: 10.3390/life13112123

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

Autori: Niamh Aspell Abigail Goldsteen Robin Renwick
Pubblicato in: Frontiers in Digital Health: Trustworthy AI for Healthcare, Numero Volume 6, 2024, ISSN 2673-253X
Editore: Frontiers in Digital Health
DOI: 10.3389/fdgth.2024.1272709

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

Autori: Lennart Jütte, Harshkumar Patel, Bernhard Roth
Pubblicato in: Biomedical Physics and Engineering Express, Numero 10, 2024, Pagina/e 015007, ISSN 2057-1976
Editore: IOP Publishing
DOI: 10.1088/2057-1976/ad0e87

xxAI - Beyond Explainable Artificial Intelligence

Autori: Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
Pubblicato in: xxAI - Beyond Explainable AI, 2022, Pagina/e 3-10, ISBN 978-3-031-04082-5
Editore: Springer, Cham
DOI: 10.1007/978-3-031-04083-2_1

Explaining the Predictions of Unsupervised Learning Models

Autori: Grégoire Montavon, Jacob Kauffmann, Wojciech Samek, Klaus-Robert Müller
Pubblicato in: xxAI - Beyond Explainable AI, 2022, Pagina/e 117-138, ISBN 978-3-031-04083-2
Editore: Springer
DOI: 10.1007/978-3-031-04083-2_7

Explainable AI Methods - A Brief Overview

Autori: Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek
Pubblicato in: xxAI - Beyond Explainable AI, 2022, Pagina/e 13-38, ISBN 978-3-031-04082-5
Editore: Springer
DOI: 10.1007/978-3-031-04083-2_2

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

Autori: Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin
Pubblicato in: xxAI - Beyond Explainable AI, 2022, Pagina/e 271-296, ISBN 978-3-031-04083-2
Editore: Springer
DOI: 10.1007/978-3-031-04083-2_14

Optimizing Explanations by Network Canonization and Hyperparameter Search

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

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

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

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain

Autori: Abigail Goldsteen, Ariel Farkash, Micha Moffie, Ron Shmelkin
Pubblicato in: Studies in Health Technology and Informatics, Numero 294, 2022, Pagina/e 121 - 122
Editore: IOS Press
DOI: 10.3233/shti220410

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

Autori: Binder, Alexander; Weber, Leander; Lapuschkin, Sebastian; Montavon, Gregoire; Müller, Klaus-Robert; Samek, Wojciech
Pubblicato in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Numero 2023, 2023, Pagina/e 16143-16152
Editore: IEEE
DOI: 10.1109/cvpr52729.2023.01549

Human-Centered Evaluation of XAI Methods

Autori: Dawoud, Karam; Samek, Wojciech; Eisert, Peter; Lapuschkin, Sebastian; Bosse, Sebastian
Pubblicato in: IEEE International Conference on Data Mining Workshops, Numero 10, 2023, ISBN 979-8-3503-8164-1
Editore: IEEE
DOI: 10.48550/arxiv.2310.07534

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

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

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

Autori: Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
Pubblicato in: Advances in Neural Information Processing Systems, Numero 35, 2022, Pagina/e 12491-12503
Editore: Neural information processing systems foundation

Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI

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

Measurably Stronger Explanation Reliability via Model Canonization

Autori: Franz Motzkus, Leander Weber, Sebastian Lapuschkin
Pubblicato in: Proceedings of the IEEE International Conference on Image Processing (ICIP), 2022, Pagina/e 516-520, ISBN 978-1-6654-9620-9
Editore: IEEE
DOI: 10.1109/icip46576.2022.9897282

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

Autori: Pahde, Frederik; Dreyer, Maximilian; Samek, Wojciech; Lapuschkin, Sebastian
Pubblicato in: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023, Pagina/e 596–606
Editore: Springer, Cham
DOI: 10.1007/978-3-031-43895-0_56

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

Autori: Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
Pubblicato in: European Conference on Computer Vision, Numero 13690, 2022, Pagina/e 300-318
Editore: Springer
DOI: 10.1007/978-3-031-20056-4_18

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