Julian O. Matschinske

14 papers B 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Privacy-preserving multicenter differential protein abundance analysis with FedProt. Nat. Comput. Sci. Yuliya Burankova, Miriam Abele, Mohammad Bakhtiari, Christine von Törne, Teresa Barth, Lisa Schweizer, Pieter Giesbertz, Johannes R. Schmidt, Stefan Kalkhof, Janina Müller-Deile, Peter A. van Veelen, Yassene Mohammed, Elke Hammer, Lis Arend, Klaudia Adamowicz, Tanja Laske, Anne Hartebrodt, Tobias Frisch, Chen Meng, Julian O. Matschinske, Julian Späth, Richard Röttger, Veit Schwämmle, Stefanie M. Hauck, Stefan F. Lichtenthaler, Axel Imhof, Matthias Mann, Christina Ludwig, Bernhard Küster, Jan Baumbach, Olga I. Zolotareva
2025	J	`jnl`	Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals. CoRR Julian O. Matschinske, Georg Kordowich, Andreas K. Maier, Johann Jaeger, Siming Bayer
2024	J	`jnl`	Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt. CoRR Yuliya Burankova, Miriam Abele, Mohammad Bakhtiari, Christine von Törne, Teresa Barth, Lisa Schweizer, Pieter Giesbertz, Johannes R. Schmidt, Stefan Kalkhof, Janina Müller-Deile, Peter A. van Veelen, Yassene Mohammed, Elke Hammer, Lis Arend, Klaudia Adamowicz, Tanja Laske, Anne Hartebrodt, Tobias Frisch, Chen Meng, Julian O. Matschinske, Julian Späth, Richard Röttger, Veit Schwämmle, Stefanie M. Hauck, Stefan F. Lichtenthaler, Axel Imhof, Matthias Mann, Christina Ludwig, Bernhard Küster, Jan Baumbach, Olga I. Zolotareva
2023	—	`—`	Privacy-aware Artificial Intelligence in Systems Medicine Julian O. Matschinske
2022	J	`jnl`	Federated Random Forests can improve local performance of predictive models for various healthcare applications. Bioinform. Anne-Christin Hauschild, Marta Lemanczyk, Julian O. Matschinske, Tobias Frisch, Olga I. Zolotareva, Andreas Holzinger, Jan Baumbach, Dominik Heider
2022	J	`jnl`	Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores. J. Integr. Bioinform. Justus Wolff, Julian O. Matschinske, Dietrich Baumgart, Anne Pytlik, Andreas Keck, Arunakiry Natarajan, Claudio E. von Schacky, Josch Pauling, Jan Baumbach
2022	J	`jnl`	dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. Bioinform. Han Cao, Youcheng Zhang, Jan Baumbach, Paul R. Burton, Dominic B. Dwyer, Nikolaos Koutsouleris, Julian O. Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth, Carl Herrmann, Emanuel Schwarz
2021	J	`jnl`	Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings Bioinform. Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia N. Arighi, Alex Bateman, Jan Baumbach, Niko Beerenwinkel, Christian Brandt, Marco Cacciabue, Sara Chuguransky, Oliver Drechsel, Robert D. Finn, Adrian Fritz, Stephan Fuchs, Georges Hattab, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari, Max von Kleist, Renó Kmiecinski, Denise Kühnert, Gorka Lasso, Pieter Libin, Markus List, Hannah F. Löchel, Maria Jesus Martin, Roman Martin, Julian O. Matschinske, Alice C. McHardy, Pedro Mendes, Jaina Mistry, Vincent Navratil, Eric P. Nawrocki, Áine Niamh O'toole, Nancy Ontiveros-Palacios, Anton I. Petrov, Guillermo Rangel-Pineros, Nicole Redaschi, Susanne Reimering, Knut Reinert, Alejandro Reyes, Lorna J. Richardson, David L. Robertson, Sepideh Sadegh, Joshua B. Singer, Kristof Theys, Chris Upton, Marius Welzel, Lowri Williams, Manja Marz
2021	J	`jnl`	HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning. CoRR Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian O. Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis
2021	J	`jnl`	Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies. Nat. Comput. Sci. Gihanna Galindez, Julian O. Matschinske, Tim D. Rose, Sepideh Sadegh, Marisol Salgado-Albarrán, Julian Späth, Jan Baumbach, Josch Konstantin Pauling
2021	J	`jnl`	The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. CoRR Julian O. Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga I. Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus D. Bloice, Nina C. Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald H. H. W. Schmidt, Christof Tschohl, Nina Kerstin Wenke, Jan Baumbach
2020	J	`jnl`	Privacy-preserving Artificial Intelligence Techniques in Biomedicine. CoRR Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian O. Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, Jan Baumbach
2019	B	`conf`	Query-Driven Data Minimization with the DataEconomist. EDBT Peter K. Schwab, Julian O. Matschinske, Andreas M. Wahl, Klaus Meyer-Wegener
2018	—	`conf`	Towards Query-Driven Data Minimization. LWDA Peter K. Schwab, Julian O. Matschinske, Andreas M. Wahl, Klaus Meyer-Wegener