Publications

2025

• Jesper Dramsch, Monique Kuglitsch, Miguel-Angel Fernandez-Torres, Andrea Toreti, Rustem Arif Albayrak, Lorenzo Nava, Saman Ghaffarian, Ximeng Cheng, Jackie Ma, Wojciech Samek, Rudy Venguswamy, Anirudh Koul, Raghavan Muthuregunathan, Arthur Hrast Essenfelder
  Explainability can foster trust in artificial intelligence in geoscience,
  Nature Geoscience, Springer Nature, ISSN: 1752-0908, vol. 18, no. 1, p. 3, February 2025, doi: 10.1038/s41561-025-01639-x
• Stephen Gilbert, Taras Holoyad, Rasmus Adler, Eva Weicken
  Could transparent model cards with layered accessible information drive trust and safety in health AI?,
  nature portfolio journal, February 2025, doi: https://doi.org/10.1038/s41746-025-01482-9, Open Access
• Karim Lekadir, Alejandro Frangi, Antonio Porras, Ben Glocker, Celia Cintas, Curtis Langlotz, Eva Weicken, Folkert Asselbergs, Fred Prior, Gary Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck Amugongo, Lauren Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis Martí-Bonmatí, M. Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, Maria Zuluaga, Marie-Christine Fritzsche, Marina Camacho, Marius George Linguraru, Markus Wenzel, Marleen De Bruijne, Martin Tolsgaard, Melanie Goisauf, Mónica Cano Abadía, Nikolaos Papanikolaou, Noussair Lazrak, Oriol Pujol, Richard Osuala, Sandy Napel, Sara Colantonio, Smriti Joshi, Stefan Klein, Susanna Aussó, Wendy Rogers, Zohaib Salahuddin, Martijn Starmans
  FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare,
  BMJ, BMJ Publishing Group Ltd, vol. 388, p. e081554, February 2025, doi: 10.1136/bmj-2024-081554, Open Access
• Muhammad Asif, Monique Kuglitsch, Ivanka Pelivan, Raffaele Albano
  Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting,
  Water Resources Management, Springer Nature, ISSN: 1573-1650, p. 21, January 2025, doi: 10.1007/s11269-025-04093-x, Open Access

2024

• Monique Kuglitsch, Jon Cox, Jürg Luterbacher, Bilel Jamoussi, Elena Xoplaki, Muralee Thummarukudy, Golestan Sally Radwan, Soichiro Yasukawa, Shanna N. McClain, Arif Albayrak, David Oehmen, Thomas Ward
  AI to the rescue: how to enhance disaster early warnings with tech tools,
  Nature, Springer Nature Limited, ISSN: 1476-4687, vol. 634, pp. 27-29, October 2024, doi: 10.1038/d41586-024-03149-z, Open Access
• Monique Kuglitsch, Ivanka Pelivan, Chinnawat Danakkaew, Jesper Dramsch, Reza Arghandeh
  Cultivating Trust in AI for Disaster Management,
  EOS, American Geophysical Union, ISSN: 2324-9250, vol. 105, no. 9, September 2024, doi: 10.1029/2024EO240402, Open Access
• Markus Wenzel, Erik Grüner, Nils Strodthoff
  Insights into the inner workings of transformer models for protein function prediction,
  Bioinformatics, Oxford University Press, ISSN: 1367-4811, p. btae031, January 2024, doi: 10.1093/bioinformatics/btae031, Open Access
• Nakul Prasad, Stefan Uhlenbrook, Hwirin Kim, Celine Cattoen, William Scharffenberg, Monique Kuglitsch, Abd Salam El Vilaly, Bilel Jamoussi
  Bridging virtual and physical realms: leveraging immersive technologies for water and land management,
  United in Science, World Meteorological Organization, no. 2024, p. 48, 2024, Open Access
• Florian Pappenberger, Nils Wedi, Matthew Chantry, Christian Lessig, Simon Lang, Peter Dueben, Mariana Clare, Linus Magnusson, Estíbaliz Gascón, Florence Rabier, Amy McGovern, Hèou Maléki Badjana, Catherine de Burgh-Day, Jürg Luterbacher, Monique Kuglitsch, Hannah L. Cloke
  Artificial intelligence and machine learning: revolutionizing weather forecasting,
  United in Science, World Meteorological Organization, no. 2024, p. 48, 2024, Open Access

2023

• Jose Albites-Sanabria, Barry R Greene, Killian McManus, Luca Palmerini, Pierpaolo Palumbo, Inês Sousa, Kimberley S van Schooten, Eva Weicken, Markus Wenzel
  Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management,
  Age and Ageing, ISSN: 1468-2834, vol. 52, no. 10, p. afad162, October 2023, doi: https://doi.org/10.1093/ageing/afad162, Open Access
• Monique Kuglitsch, Arif Albayrak, Jürg Lüterbacher, Allison Craddock, Andrea Toreti, Jackie Ma, Paula Padrino Vilela, Elena Xoplaki, Rui Kotani, Dominique Berod, Jon Cox
  When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review,
  Environmental Research Letters, vol. 18, no. 9, September 2023, doi: https://doi.org/10.1088/1748-9326/acf601, Open Access
• Patrick Wagner, Maximilian Springenberg, Marius Kröger, Rose K. C. Moritz, Johannes Schleusener, Martina C. Meinke, Jackie Ma
  Semantic modeling of cell damage prediction: A machine learning approach at human-level performance in dermatology,
  Nature Scientific Reports, May 2023, doi: 10.1038/s41598-023-35370-7, Open Access
• Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff
  From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology,
  Medical Image Analysis, Elsevier, ISSN: 1361-8415, April 2023, doi: 10.1016/j.media.2023.102809, arXiv: https://arxiv.org/abs/2204.05044
• Andrew Farlow, Alexander Hofmann, Girmaw Abebe Tadesse, Deogratias Mzurikwao, Rob Beyer, Darlington Akogo, Eva Weicken, Tafadzwa Matika, MaryJane Ijeoma Nweje, Watu Wamae, Sako Arts, Thomas Wiegand, Colin Bennett, Maha R. Farhat, Matthias I. Gröschel
  Rethinking global digital health and AI-for-health innovation challenges,
  PLOS Global Public Health, Public Library of Science, ISSN: 2767-3375, vol. 3, no. 4, pp. 1-12, April 2023, doi: 10.1371/journal.pgph.0001844, Open Access
• Michele Gazzea, Amir Miraki, Onur Alisan, Monique Kuglitsch, Ivanka Pelivan, Eren Erman Ozguven, Reza Arghandeh
  Traffic monitoring system design considering multi-hazard disaster risks,
  Nature Scientific Reports, March 2023, Open Access
• Alexander Henry Thieme, Yuanning Zheng, Gautam Machiraju, Chris Sadee, Mirja Mittermaier, Maximilian Gertler, Jorge L. Salinas, Krithika Srinivasan, Prashnna Gyawali, Francisco Carrillo-Perez, Angelo Capodici, Maximilian Uhlig, Daniel Habenicht, Anastassia Löser, Maja Kohler, Maximilian Schuessler, David Kaul, Johannes Gollrad, Jackie Ma, Christoph Lippert, Kendall Billick, Isaac Bogoch, Tina Hernandez-Boussard, Pascal Geldsetzer, Olivier Gevaert
  A deep-learning algorithm to classify skin lesions from mpox virus infection,
  Nature Medicine, March 2023, Open Access
• Martin-Leo Hansmann, Frederick Klauschen, Wojciech Samek, Klaus-Robert Müller, Emmanuel Donnadieu, Sonja Scharf, Sylvia Hartmann, Ina Koch, Jörg Ackermann, Liron Pantanowitz, Hendrik Schäfer, Patrick Wurzel
  Imaging bridges pathology and radiology?,
  Journal of Pathology Informatics, vol. 14, p. 100298, January 2023, doi: 10.1016/j.jpi.2023.100298

2022

• Patrick Wagner, Nils Strodthoff, Patrick Wurzel, Arturo Marban, Sonja Scharf, Hendrik Schäfer, Philipp Seegerer, Andreas Loth, Sylvia Hartmann, Frederick Klauschen, Klaus-Robert Müller, Wojciech Samek, Martin-Leo Hansmann
  New Definitions of Human Lymphoid and Follicular Cell Entities in Lymphatic Tissue by Machine Learning,
  Scientific Reports, vol. 12, p. 18991, November 2022, doi: 10.1038/s41598-022-18097-9, Open Access
• Jackie Ma, Lisa Schneider, Sebastian Lapuschkin, Reduan Achtibat, Martha Duchrau, Joachim Krois, Falk Schwendicke, Wojciech Samek
  Towards Trustworthy AI in Dentistry,
  Journal of Dental Research, vol. 101, no. 11, pp. 1263-1268, June 2022, doi: 10.1177/00220345221106086
• Ximeng Cheng, Ali Doosthosseini, Julian Kunkel
  Improve the Deep Learning Models in Forestry Based on Explanations and Expertise,
  Frontiers in Plant Science, ISSN: 1664-462X, vol. 13, p. 902105, May 2022, doi: 10.3389/fpls.2022.902105, Open Access
• Bernhard Föllmer, Federico Biavati, Christian Wald, Sebastian Stober, Marc Dewey, Jackie Ma, Wojciech Samek
  Active Multi-Task Learning with Uncertainty Weighted Loss for Coronary Calcium Scoring,
  Medical Physics, vol. 49, no. 11, pp. 7262-7277, May 2022, doi: 10.1002/mp.15870
• Monique Kuglitsch, Arif Albayrak, Raúl Aquino, Allison Craddock, Jaselle Edward-Gill, Rinku Kanwar, Anirudh Koul, Jackie Ma, Alejandro Marti, Mythili Menon, Ivanka Pelivan, Andrea Toreti, Rudy Venguswamy, Tom Ward, Elena Xoplaki, Anthony Rea, Jürg Lüterbacher
  Artificial Intelligence for Disaster Risk Reduction: Opportunities, challenges, and prospects,
  WMO Bulletin, March 2022, Open Access
• Monique Kuglitsch, Ivanka Pelivan, Serena Ceola, Mythili Menon, Elena Xoplaki
  Facilitating adoption of AI in natural disaster management through collaboration,
  Nature Communications, March 2022, doi: https://doi.org/10.1038/s41467-022-29285-6, Open Access

2021

• Sandeep Reddy, Wendy Rogers, Ville-Petteri Makinen, Enrico Coeira, Pieta Brown, Markus Wenzel, Eva Weicken, Saba Ansari, Piyush Mathur, Aaron Casey, Blair Kelly
  Evaluation framework to guide implementation of AI systems into healthcare settings,
  BMJ Health & Care Informatics , BMJ, vol. 28, no. 1, p. e100444, October 2021, doi: 10.1136/bmjhci-2021-100444, Open Access
• Till M. Schneider, Jackie Ma, Patrick Wagner, Nicolas Behl, Armin Michael Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus, Sina Straub
  Multiparametric MRI for characterization of the basal ganglia and the midbrain,
  Frontiers in Neuroscience, June 2021, doi: 10.3389/fnins.2021.661504, Open Access
• Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
  Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL,
  IEEE Journal of Biomedical And Health Informatics, vol. 25, no. 5, pp. 1519-1528, May 2021, doi: 10.1109/JBHI.2020.3022989, Open Access
• Nils Strodthoff, Claas Strodthoff, Tobias Becher, Inéz Frerichs, Norbert Weiler
  Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models,
  IEEE Journal of Biomedical and Health Informatics, February 2021, doi: 10.1109/JBHI.2021.3059016, arXiv: https://arxiv.org/abs/2010.09622, Open Access

2020

• Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
  Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements,
  Nature Digital Medicine, September 2020, doi: 10.1038/s41746-020-00340-0, Open Access
• Markus Wenzel, Thomas Wiegand
  Toward Global Validation Standards for Health AI,
  IEEE Communications Standards Magazine , IEEE, ISSN: 2471-2833, vol. 4, no. 3, pp. 64-69, September 2020, doi: https://doi.org/10.1109/MCOMSTD.001.2000006, Invited Paper
• Clemens Peter Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert
  Accurate and Robust Neural Networks for Face Morphing Attack Detection,
  Journal of Information Security and Applications, vol. 53, p. 102526, August 2020, doi: 10.1016/j.jisa.2020.102526, arXiv: https://arxiv.org/abs/1806.04265
• Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
  USMPep: Universal Sequence Models for Major Histocompatibility Complex Binding Affinity Prediction,
  BMC Bioinformatics, vol. 21, p. 279, July 2020, doi: 10.1186/s12859-020-03631-1, Open Access
• Falk Schwendicke, Wojciech Samek, Joachim Krois
  Artificial Intelligence in Dentistry: Chances and Challenges,
  Journal of Dental Research, vol. 99, no. 7, pp. 769-774, July 2020, doi: 10.1177/0022034520915714
• Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I. Lunze, Wojciech Samek, Tobias Schaeffter
  PTB-XL, A Large Publicly Available Electrocardiography Dataset,
  Scientific Data, vol. 7, p. 154, May 2020, doi: 10.1038/s41597-020-0495-6, Open Access
• Stefan Blücher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban
  Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning,
  Phys. Rev. D, vol. 101, no. 094507, May 2020, doi: 10.1103/PhysRevD.101.094507, arXiv: https://arxiv.org/abs/2003.01504
• Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
  Asymptotically Unbiased Estimation of Physical Observables with Neural Samplers,
  Physical Review E, vol. 101, no. 2, p. 023304, February 2020, doi: 10.1103/PhysRevE.101.023304
• Nils Strodthoff, Patrick Wagner, Markus Wenzel, Wojciech Samek
  UDSMProt: Universal Deep Sequence Models for Protein Classification,
  Bioinformatics, btaa003, Oxford University Press, vol. 36, no. 8, pp. 2401-2409, January 2020, doi: 10.1093/bioinformatics/btaa003

2019

• Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek
  Analyzing Neuroimaging Data Through Recurrent Deep Learning Models,
  Frontiers in Neuroscience, vol. 13, p. 1321, December 2019, doi: 10.3389/fnins.2019.01321
• Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek
  Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G,
  IEEE Journal on Selected Areas in Communications, vol. 37, no. 11, pp. 2573-2587, August 2019, doi: 10.1109/JSAC.2019.2934001
• Sebastian Bosse, Sören Becker, Klaus-Robert Müller, Wojciech Samek, Thomas Wiegand
  Estimation of Distortion Sensitivity for Visual Quality Prediction Using a Convolutional Neural Network,
  Digital Signal Processing, Elsevier B.V., vol. 91, pp. 54-65, August 2019, doi: 10.1016/j.dsp.2018.12.005
• Ahmed Osman, Wojciech Samek
  DRAU: Dual Recurrent Attention Units for Visual Question Answering,
  Computer Vision and Image Understanding, Elsevier Ltd., vol. 185, pp. 24-30, August 2019, doi: 10.1016/j.cviu.2019.05.001
• Tatiana. A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan
  Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography,
  Journal of Inverse Problems, IOP Publishing, vol. 35, no. 6, p. 064002, May 2019, doi: 10.1088/1361-6420/ab10ca
• Arturo Marban, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
  A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery,
  Biomedical Signal Processing and Control, Elsevier, ISSN: 1746-8094, vol. 50, pp. 134-150, April 2019, doi: 10.1016/j.bspc.2019.01.011
• Nils Strodthoff, Claas Strodthoff
  Detecting and interpreting myocardial infarction using fully convolutional neural networks,
  Physiological Measurement, IOPscience, IOP Publishing, vol. 40, no. 1, p. 015001, January 2019, doi: 10.1088/1361-6579/aaf34d

2018

• Stephan Kaltenstadler, Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek
  Wasserstein Stationary Subspace Analysis,
  Journal of Selected Topics in Signal Processing, IEEE, vol. 12, no. 6, pp. 1213-1223, December 2018, doi: 10.1109/JSTSP.2018.2873987
• Sebastian Bosse, Laura Acqualagna, Wojciech Samek, Anne K. Porbadnigk, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller, Thomas Wiegand
  Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition,
  IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 8, pp. 1694-1706, August 2018, doi: 10.1109/tcsvt.2017.2694807
• Forooz Shahbazi Avarvand, Sarah Bartz, Christina Andreou, Wojciech Samek, Gregor Leicht, Christoph Mulert, Guido Nolte, Andreas Karl Engel, System Import
  Localizing Bicoherence from EEG and MEG,
  NeuroImage, Elsevier Inc., vol. 174, pp. 352-363, July 2018, doi: 10.1016/j.neuroimage.2018.01.044
• Wiktor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima
  Sharing Hash Codes for Multiple Purposes,
  Japanese Journal of Statistics and Data Science (JJSD), Springer Verlag, vol. 1, no. 1, pp. 215–246, June 2018, doi: 10.1007/s42081-018-0010-x
• Wojciech Samek, Slawomir Stanczak, Thomas Wiegand
  The Convergence of Machine Learning and Communications,
  ITU Journal: ICT Discoveries - Special Issue 1 - The Impact of Artificial Intelligence (AI) on Communication Networks and Services, vol. 1, no. 1, pp. 49-58, March 2018, Invited Paper, Special Issue
• Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
  Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment,
  IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 206-219, January 2018, doi: 10.1109/tip.2017.2760518

2017

• Forooz Shahbazi Avarvand, Sebastian Bosse, Klaus-Robert Müller, Guido Nolte, Thomas Wiegand, Ralf Schäfer, Gabriel Curio, Wojciech Samek
  Objective Quality Assessment of Stereoscopic Images with Vertical Disparity using EEG,
  Journal of Neural Engineering, IOP Publishing, vol. 14, no. 4, p. 046009, May 2017, doi: 10.1088/1741-2552/aa6d8b

2016

• Wojciech Samek, Duncan Blythe, Gabriel Curio, Klaus-Robert Müller, Benjamin Blankertz, Vadim V. Nikulin
  Multiscale temporal neural dynamics predict performance in a complex sensorimotor task,
  NeuroImage, Elsevier Inc., vol. 141, pp. 291–303, November 2016, doi: 10.1016/j.neuroimage.2016.06.056
• Stephanie Brandl, Laura Frølich, Johannes Höhne, Klaus-Robert Müller, Wojciech Samek
  Brain-Computer Interfacing under Distraction: An Evaluation Study,
  Journal of Neural Engineering, IOP Publishing, vol. 13, no. 5, p. 056012, August 2016, doi: 10.1088/1741-2560/13/5/056012

2015

• Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller
  Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data,
  Proceedings of the IEEE, vol. 103, no. 9, pp. 1507-1530, September 2015, doi: 10.1109/jproc.2015.2425807, Invited Paper
• Siamac Fazli, Sven Dähne, Wojciech Samek, Felix Bießmann, Klaus-Robert Müller
  Learning from more than one Data Source: Data Fusion Techniques for Sensorimotor Rhythm-based Brain-Computer Interfaces,
  Proceedings of the IEEE, vol. 103, no. 6, pp. 891-906, June 2015, doi: 10.1109/jproc.2015.2413993, Invited Paper

2024

• Michael Detzel, Gabriel Nobis, Jackie Ma, Wojciech Samek
  Spatial Shortcuts in Graph Neural Controlled Differential Equations,
  NeurIPS'24 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers (D3S3), Vancouver, Canada, December 2024
• Rohan Reddy Mekala, Frederik Pahde, Simon Baur, Sneha Chandrashekar, Madeline Diep, Markus Wenzel, Eric Wisotzky, Galip Ümit Yolcu, Sebastian Lapuschkin, Jackie Ma, Peter Eisert, Mikael Lindvall, Adam Porter, Wojciech Samek
  Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization,
  ECCV'24 Workshop on Synthetic Data for Computer Vision (SyntheticData4CV), Milano, Italy, September 2024
• Bernhard Föllmer, Kenrick Schulze, Christian Wald, Sebastian Stober, Wojciech Samek, Marc Dewey
  Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure,
  Proceedings of the Medical Imaging with Deep Learning (MIDL), Paris, France, July 2024

2021

• Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff
  Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks,
  ICLR 2021 Workshop: Machine Learning for Preventing and Combating Pandemics, virtual, May 2021, arXiv: https://arxiv.org/abs/2104.08237

2019

• Johanna Vielhaben, Hüseyin Camalan, Wojciech Samek, Markus Wenzel
  Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning,
  IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, CA, pp. 74-81, December 2019, doi: 10.1109/AIVR46125.2019.00020
• Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
  Deep Transfer Learning For Whole-Brain fMRI Analyses,
  OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, Lecture Notes in Computer Science, Shenzhen, China, Springer, Cham, pp. 59-67, October 2019, doi: 10.1007/978-3-030-32695-1_7
• Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek
  Multi-Kernel Prediction Networks for Denoising of Burst Images,
  IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, pp. 2404-2408, September 2019, doi: 10.1109/ICIP.2019.8803335
• Jan Laermann, Wojciech Samek, Nils Strodthoff
  Achieving Generalizable Robustness of Deep Neural Networks by Stability Training,
  Pattern Recognition - 41st DAGM German Conference, DAGM GCPR 2019, Lecture Notes in Computer Science, Dortmund, Germany, Springer International Publishing, pp. 360-373, September 2019, doi: 10.1007/978-3-030-33676-9_25
• Patrick Wagner, Jakob P. Morath, Arturo Zychlinsky, Wojciech Samek
  Rotation Invariant Clustering of 3D Cell Nuclei Shapes,
  41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, pp. 6022-6027, July 2019, doi: 10.1109/EMBC.2019.8856734

2018

• Nils Strodthoff, Baris Göktepe, Thomas Schierl, Wojciech Samek, Cornelius Hellge
  Machine Learning for early HARQ Feedback Prediction in 5G,
  IEEE Global Communications Conference (Globecom Workshops), Abu Dhabi, UAE, pp. 1-6, December 2018, doi: 10.1109/GLOCOMW.2018.8644343
• Sebastian Bosse, Sören Becker, Zacharias V. Fisches, Wojciech Samek, Thomas Wiegand
  Neural Network-based Estimation of Distortion Sensitivity for Image Quality Prediction,
  Proceedings of the IEEE International Conference on Image Processing (ICIP), Athens, Kefalonia, Greece, pp. 629-633, October 2018, doi: 10.1109/ICIP.2018.8451261
• Arturo Marban, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
  Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model,
  IEEE/RSJ International Conference on Intelligent Robots (IROS), Madrid, Spain, pp. 761-768, October 2018, doi: 10.1109/IROS.2018.8593701
• Jonathan Pfaff, Philipp Helle, Dominique Maniry, Stephan Kaltenstadler, Wojciech Samek, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
  Neural Network based Intra Prediction for Video Coding,
  SPIE 10752, Applications of Digital Image Processing XLI, San Diego, USA, September 2018, doi: 10.1117/12.2321273
• Sebastian Bosse, Milena Bagdasarian, Wojciech Samek, Gabriel Curio, Thomas Wiegand
  On the Stimulation Frequency in SSVEP-based Image Quality Assessment,
  Proceedings of the 10th International Conference on Quality of Multimedia Experience (QoMEX), Sardinia, Italy, pp. 1-6, May 2018, doi: 10.1109/QoMEX.2018.8463381

2017

• Arturo Marban, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
  Estimating Position & Velocity in 3D Space from Monocular Video Sequences using a Deep Neural Network,
  Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW), Venice, Italy, pp. 1460-1469, October 2017, doi: 10.1109/iccvw.2017.173
• Sebastian Bosse, Mischa Siekmann, Wojciech Samek, Thomas Wiegand
  A Perceptually Relevant Shearlet-Based Adaptation of the PSNR,
  Proceedings of the IEEE International Conference on Image Processing (ICIP), Beijing, China, pp. 315-319, September 2017, doi: 10.1109/icip.2017.8296294
• Forooz Shahbazi Avarvand, Sebastian Bosse, Guido Nolte, Thomas Wiegand, Wojciech Samek
  Measuring the Quality of 3D Visualizations using EEG: A Time-Frequency Approach,
  Proceedings of 7th Graz Brain-Computer Interface Conference, Graz, Austria, pp. 441-446, September 2017, doi: 10.3217/978-3-85125-533-1-81
• Clemens Peter Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert
  Detection of Face Morphing Attacks by Deep Learning,
  Proceedings of the 16th International Workshop on Digital Forensics and Watermarking (IWDW2017), Magdeburg, Germany, pp. 107-120, August 2017, doi: 10.1007/978-3-319-64185-0_9
• Forooz Shahbazi Avarvand, Sebastian Bosse, Guido Nolte, Thomas Wiegand, Wojciech Samek
  Quality Assessment of 3D Visualizations with Vertical Disparity: An ERP Approach,
  Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, pp. 4391-4394, July 2017, doi: 10.1109/embc.2017.8037829

2016

• Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
  Neural Network-Based Full-Reference Image Quality Assessment,
  Proceedings of the Picture Coding Symposium (PCS), Nürnberg, Germany, pp. 1-5, December 2016, doi: 10.1109/pcs.2016.7906376
• Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
  Brain-Computer Interfacing for Multimedia Quality Assessment,
  Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, pp. 002834-002839, October 2016, doi: 10.1109/smc.2016.7844669
• Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek
  Alternative CSP approaches for multimodal distributed BCI data,
  Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, pp. 003742-003747, October 2016, doi: 10.1109/smc.2016.7844816
• Serhan Gül, Jan Timo Meyer, Thomas Schierl, Cornelius Hellge, Wojciech Samek
  Hybrid Video Object Tracking in H.265/HEVC Video Streams,
  Proceedings of the International Workshop on Multimedia Signal Processing (MMSP), Montreal, Canada, pp. 1-5, September 2016, doi: 10.1109/mmsp.2016.7813363
• Sebastian Bosse, Qiaobo Chen, Mischa Siekmann, Wojciech Samek, Thomas Wiegand
  Shearlet-based Reduced Reference Image Quality Assessment,
  Proceedings of the IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, pp. 2052-2056, September 2016, doi: 10.1109/icip.2016.7532719
• Sebastian Bosse, Dominique Maniry, Thomas Wiegand, Wojciech Samek
  A Deep Neural Network for Image Quality Assessment,
  Proceedings of the IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, pp. 3773-3777, September 2016, doi: 10.1109/icip.2016.7533065
• Sebastian Bosse, Mischa Siekmann, Jennifer Rasch, Thomas Wiegand, Wojciech Samek
  Quality Assessment of Image Patches Distorted by Image Compression Using Crowdsourcing,
  Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Seattle, Washington, USA, pp. 1-6, July 2016, doi: 10.1109/icme.2016.7552958
• Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
  Full-Reference Image Quality Assessment Using Neural Networks,
  Proceedings of the 8th International Conference on Quality of Multimedia Experience (QoMEX), Lisbon, Portugal, June 2016

2015

• Carmen Vidaurre, Claudia Sannelli, Wojciech Samek, Sven Dähne, Klaus-Robert Müller
  Machine Learning Methods of the Berlin Brain-Computer Interface,
  Proceedings of the 9th IFAC Symposium on Biological and Medical Systems, Berlin, Germany, pp. 447-452, September 2015, doi: 10.1016/j.ifacol.2015.10.181
• Wojciech Samek, Klaus-Robert Müller
  Tackling noise, artifacts and nonstationarity in BCI with robust divergences,
  Proceedings of the European Signal Processing Conference (EUSIPCO), Nice, France, pp. 2791-2795, August 2015, doi: 10.1109/eusipco.2015.7362883
• Laura Frølich, Irene Winkler, Klaus-Robert Müller, Wojciech Samek
  Investigating effects of different artefact types on Motor Imagery BCI,
  Proceedings of 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy, pp. 1942-1945, August 2015, doi: 10.1109/embc.2015.7318764
• Stephanie Brandl, Johannes Höhne, Klaus-Robert Müller, Wojciech Samek
  Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment,
  Proceedings of the International IEEE/EMBS Neural Engineering Conference (NER), Montpellier, France, pp. 224-227, April 2015, doi: 10.1109/ner.2015.7146600

2019

• Nils Strodthoff, Arun Shroff, Wojciech Samek
  Aspects of Evaluation Procedures for Machine Learning Algorithms,
  FG-AI4H-D-039, Shanghai, China, April 2019
• Wojciech Samek
  Proposal: Data selection method for evaluation of ML algorithms,
  FG-AI4H-C-027, Lausanne, Switzerland, January 2019

2018

• Wojciech Samek, Vishnu Ram
  WG2 deliverable for MPP use case,
  ITU-T FG-ML5G-I-086-R3, Tokyo, Japan, November 2018
• Wojciech Samek, Vishnu Ram
  Applying characteristics of ML techniques to optimize architectures,
  ITU-T FG-ML5G-I-112, Tokyo, Japan, November 2018
• Wojciech Samek
  Draft: Selection of representative training data for evaluation of ML algorithms,
  FG-AI4H-B-026, New York, USA, November 2018
• Wojciech Samek
  Discussion of WG2 deliverable for MPP use case,
  ITU-T FG-ML5G-I-075, San Jose, USA, August 2018
• Wojciech Samek, Sebastian Troia, Francesc Wilhelmi
  Overview and Requirement Analysis of ML Methods in Communications,
  ITU-T FG-ML5G-I-032, Xi’an, China, April 2018

2019

• Wojciech Samek
  Deep Learning: Models, Applications & Challenges,
  Leopoldina Meeting "Digital Pathology on the Boarder to Molecular Imaging", Venice, Italy, March 2019, Talk
• Wojciech Samek
  Convergence of Machine Learning and Communications,
  CIEMI Congress on Intelligent Systems, San Jose, Costa Rica, March 2019, Talk

2018

• Wojciech Samek
  Interpretable Deep Learning & its Applications in the Neurosciences,
  Max Planck Institute for Human Cognitive and Brain, Leipzig, Germany, October 2018, Talk
• Wojciech Samek
  Transparent & Trustworthy AI for Medical Applications,
  ITU, Workshop on Artificial Intelligence for Health, Geneva, Switzerland, September 2018, Talk

2016

• Wojciech Samek
  Effective Data Analytics,
  Big Data Excellence for Utilities Conference, Berlin, Germany, February 2016, Talk

2015

• Wojciech Samek
  The Machine Learning way to Video Analysis and Compression,
  Trends in Video Analysis, Representation and Delivery Workshop, Aachen, Germany, February 2015, Talk

2023

• Ximeng Cheng, Marc Vischer, Zachary Schellin, Leila Arras, Monique Kuglitsch, Wojciech Samek, Jackie Ma
  Explainability in GeoAI,
  In: Handbook of Geospatial Artificial Intelligence, CRC Press, Boca Raton, USA, pp. 177-201, December 2023, doi: 10.1201/9781003308423-9, Book Chapter

2019

• Guangtao Zhai, Ke Gu, Jiheng Wang, Wojciech Samek
  Quality Perception of Advanced Multimedia Systems,
  In: Digital Signal Processing, Elsevier Inc., Amsterdam, Netherlands, ISBN: 1051--2004, vol. 91, pp. 1-2, August 2019, doi: 10.1016/j.dsp.2019.05.013, Editorial, Book Chapter
• Sergio Cruces, Rubén Martín-Clemente, Wojciech Samek
  Information Theory Applications in Signal Processing,
  In: special issue of Entropy, MDPI, Basel, Switzerland, vol. 21, p. 653, July 2019, doi: 10.3390/e21070653, Editorial, Book Chapter

2017

• Koh Jing Yu, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
  Object Boundary Detection and Classification with Image-level Labels,
  In: Pattern Recognition - 39th German Conference, GCPR 2017, Lecture Notes in Computer Science, Springer Verlag, Heidelberg, Germany, vol. 10496, pp. 153-164, September 2017, doi: 10.1007/978-3-319-66709-6_13, Book Chapter

2016

• Farhad Arbabzadah, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
  Identifying individual facial expressions by deconstructing a neural network,
  In: Pattern Recognition - 38th German Conference, GCPR 2016, Lecture Notes in Computer Science, Springer Verlag, Heidelberg, Germany, vol. 9796, pp. 344-354, September 2016, doi: 10.1007/978-3-319-45886-1_28, Book Chapter

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