Publications

Michael Rade, Nora Grieb, Ronald Weiss, Jaren Sia, Luise Fischer, Patrick Born, Andreas Boldt, Stephan Fricke, Paul Franz, Jonathan Scolnick, Lakshmi Venkatraman, Stacy Xu, Christina Kloetzer, Simone Heyn, Anne Sophie Kubasch, Ronny Baber, Song Yau Wang, Enrica Bach, Sandra Hoffmann, Jule Ussmann, Birthe Schetschorke, Saskia Hell, Sebastian Schwind, Klaus H. Metzeler, Marco Herling, Madlen Jentzsch, Georg-Nikolaus Franke, Ulrich Sack, Ulrike Köhl, Uwe Platzbecker, Kristin Reiche, Vladan Vucinic, and Maximilian Merz. Single-cell multiomic dissection of response and resistance to chimeric antigen receptor T cells against BCMA in relapsed multiple myeloma. Nature Cancer, (5)9:1318–1333, Springer Science and Business Media LLC, April 2024. [PUMA: against antigen BCMA multiomic from:scadsfct myeloma dissection Single-cell resistance cells T receptor chimeric multiple response relapsed] URL

Maximilian Ferle, Nora Grieb, Markus Kreuz, Uwe Platzbecker, Thomas Neumuth, Kristin Reiche, Alexander Oeser, and Maximilian Merz. Predicting Progression Events in Multiple Myeloma from Routine Blood Work. 2024. [PUMA: Predicting Progression Myeloma Events Work from:scadsfct Multiple Routine Blood] URL

Amankeldi A. Salybekov, Markus Wolfien, Waldemar Hahn, Sumi Hidaka, and Shuzo Kobayashi. Artificial Intelligence Reporting Guidelines’ Adherence in Nephrology for Improved Research and Clinical Outcomes. Biomedicines, (12)3:606, MDPI AG, March 2024. [PUMA: Artificial Nephrology Intelligence Research from:scadsfct Improved Guidelines Reporting] URL

Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, and Sahar Vahdati. Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. In Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, and Francesco Bonchi (Eds.), Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, (14171):601--616, Springer, 2023. [PUMA: Distinct Structures Temporal Representations Geometrical Relational from:scadsfct] URL

Jens Lehmann, Sébastien Ferré, and Sahar Vahdati. Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. In Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, and Roxana Radulescu (Eds.), ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), (372):1348--1356, IOS Press, 2023. [PUMA: Answering Graph Semantic Parsers Models Question Language from:scadsfct Controlled Natural Knowledge] URL

Anna Niarakis, Reinhard Laubenbacher, Gary An, Yaron Ilan, Jasmin Fisher, Åsmund Flobak, Kristin Reiche, María Rodríguez Martínez, Liesbet Geris, Luiz Ladeira, Lorenzo Veschini, Michael L. Blinov, Francesco Messina, Luis L. Fonseca, Sandra Ferreira, Arnau Montagud, Vincent Noël, Malvina Marku, Eirini Tsirvouli, Marcella Torres, Leonard A. Harris, T.J. Sego, Chase Cockrell, Amanda Shick, Hasan Balci, Albin Salazar, Kinza Rian, Ahmed Abdelmonem Hemedan, Marina Esteban-Medina, Bernard Staumont, Esteban Hernandez-Vargas, Shiny Martis B., Alejandro Madrid-Valiente, Panagiotis Karampelesis, Luis Sordo Vieira, Pradyumna Harlapur, Alexander Kulesza, Niloofar Nikaein, Winston Garira, Rahuman S. Malik Sheriff, Juilee Thakar, Van Du T. Tran, Jose Carbonell-Caballero, Soroush Safaei, Alfonso Valencia, Andrei Zinovyev, and James A. Glazier. Building an international and interdisciplinary community to develop immune digital twins for complex human pathologies. Zenodo, 2024. [PUMA: twin immune system collaboration model from:scadsfct computational community effort digital interdisciplinary] URL

Markus Bauer, and Christoph Augenstein. Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, (35):93–101, IEEE, September 2023. [PUMA: Study Learning Computer Data Self-Supervised from:scadsfct Unlabelled Comparative Vision.] URL

Markus Bauer, and Christoph Augenstein. Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading. Pattern Recognition, 348–360, Springer Nature Switzerland, 2024. [PUMA: Cancer Histopathology Learning Self-supervised Prostate Perspectives from:scadsfct New] URL

Markus Bauer, Lennart Schneider, Marit Bernhardt, Christoph Augenstein, Glen Kristiansen, and Bogdan Franczyk. An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 729-738, SciTePress, 2024. [PUMA: Cancer Histopatholog Digital AI Prostate from:scadsfct Open-Source]

Yinglin Tian, Axel Kleidon, Corey Lesk, Sha Zhou, Xiangzhong Luo, Sarosh Alam Ghausi, Guangqian Wang, Deyu Zhong, and Jakob Zscheischler. Characterizing heatwaves based on land surface energy budget. Communications Earth & Environment, (5)1Springer Science and Business Media LLC, October 2024. [PUMA: energy heatwaves surface land from:scadsfct budget] URL

Lily-belle Sweet, Christoph Müller, Mohit Anand, and Jakob Zscheischler. Cross-Validation Strategy Impacts the Performance and Interpretation of Machine Learning Models. Artificial Intelligence for the Earth Systems, (2)4American Meteorological Society, October 2023. [PUMA: Interpretation Performance Cross-Validation Strategy from:scadsfct MLM] URL

Sidharth Sivaraj, Jakob Zscheischler, Jonathan R Buzan, Olivia Martius, Stefan Brönnimann, and Ana M Vicedo-Cabrera. Heat, humidity and health impacts: how causal diagrams can help tell the complex story. Environmental Research Letters, (19)7:074069, IOP Publishing, July 2024. [PUMA: diagrams humidity causal from:scadsfct Heat health] URL

Jordan Richards, Raphaël Huser, Emanuele Bevacqua, and Jakob Zscheischler. Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning. Artificial Intelligence for the Earth Systems, (2)4American Meteorological Society, October 2023. [PUMA: Extreme Mediterranean Learning Wildfires Spatiotemporal Trends Statistical Deep from:scadsfct] URL

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Predicting low gross production data from:scadsfct primary Neural weather]

Alexander Oeser, Nora Grieb, Jan Gaebel, Stefan Franke, Anne Sophie Kubasch, Maximilian Merz, Uwe Platzbecker, and Thomas Neumuth. Künstliche Intelligenz in der Entscheidungsunterstützung und medikamentösen Tumortherapie. Die Onkologie, (30)5:380–387, Springer Science and Business Media LLC, February 2024. [PUMA: Tumortherapie medikament\"{o}sen AI from:scadsfct Entscheidungsunterst\"{u}tzung KI] URL

Mika Katalinic, Martin Schenk, Stefan Franke, Alexander Katalinic, Thomas Neumuth, Andreas Dietz, Matthaeus Stoehr, and Jan Gaebel. Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications. Cancers, (16)3:639, MDPI AG, February 2024. [PUMA: Cancer Realistic Synthetic Applications Cohort AI Laryngeal from:scadsfct Generation] URL

Nora Grieb, Lukas Schmierer, Hyeon Ung Kim, Sarah Strobel, Christian Schulz, Tim Meschke, Anne Sophie Kubasch, Annamaria Brioli, Uwe Platzbecker, Thomas Neumuth, Maximilian Merz, and Alexander Oeser. A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Frontiers in Digital Health, (5)Frontiers Media SA, December 2023. [PUMA: twin clinical decision multiple from:scadsfct evidence-based myeloma support treatment digital] URL

Sonja Schimmler, Bianca Wentzel, Arnim Bleier, Stefan Dietze, Saurav Karmakar, Peter Mutschke, Angelie Kraft, Tilahun A. Taffa, Ricardo Usbeck, Zeyd Boukhers, Sören Auer, Leyla J. Castro, Marcel R. Ackermann, Thomas Neumuth, Daniel Schneider, Ziawasch Abedjan, Atif Latif, Fidan Limani, Raia Abu Ahmad, Georg Rehm, Sima Attar Khorasani, and Matthias Lieber. NFDI4DS Infrastructure and Services. Gesellschaft für Informatik e.V., 2023. [PUMA: Infrastructures NFDI, NFDI4DS, Data Research from:scadsfct] URL

Ekaterina Borisova, Raia Abu Ahmad, Georg Rehm, Ricardo Usbeck, Jennifer D’Souza, Markus Stocker, Sören Auer, Judith Gilsbach, Anastasia Wolschewski, Johannes Keller, Daniel Schneider, Thomas Neumuth, and Sonja Schimmler. NFDI4DS Transfer and Application. Gesellschaft für Informatik e.V., 2023. [PUMA: Infrastructures Artificial Intelligence NFDI Data Research from:scadsfct NFDI4DS Science] URL

Maja Schneider. Distributed, Privacy-Aware Location Data Aggregation. 2024. [PUMA: Aggregation Distributed Privacy-Aware Data from:scadsfct Location] URL