Patrick Rockenschaub

According to our database, Patrick Rockenschaub authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ReciPies: A Lightweight Data Transformation Pipeline for Reproducible ML.

Robin Van De Water, Hendrik Schmidt, Patrick Rockenschaub

J. Open Source Softw., January, 2026

2025

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.

Patrick Rockenschaub, Ela Marie Akay, Benjamin Gregory Carlisle, Adam Hilbert, Joshua Wendland, Falk Meyer-Eschenbach, Anatol-Fiete Näher, Dietmar Frey, Vince Istvan Madai

BMC Medical Informatics Decis. Mak., December, 2025

Hierarchical Generalized Category Discovery for Brain Tumor Classification in Digital Pathology.

Matthias Perkonigg, Patrick Rockenschaub, Georg Göbel, Adelheid Wöhrer

CoRR, October, 2025

DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research.

Louis J. M. Aslett, Andreea Avramescu, Nicholas Bakewell, Isabel Birds, Louise Bowler, Michael P. J. Camilleri, Sheng-Chia Chung, David A. Clifton, Samuel N. Cohen, Nathan Constantine-Cooke, Eric G. Daub, Shaun M. Davidson, Spiros C. Denaxas, Karla Diaz-Ordaz, Richard Feltbower, Suzy Gallier, Stephen Gardiner, Francesca Gasperoni, Robert J. B. Goudie, Rebecca E. Green, Marlous S. Hall, Chris Holmes, John R. Hurst, Mark M. Iles, João Jorge, Emma Karoune, Ruth H. Keogh, Ruairidh King, Ruth King, Paul D. W. Kirk, Roman Klapaukh, Samaneh Kouchaki, Alvina Grace Lai, Nathan Lea, Clemence Leyrat, Kezhi Li, Watjana Lilaonitkul, Huiqi Y. Lu, Terry Lyons, Ann-Marie Mallon, Andrew A. Manderson, Nicolò Margaritella, Joshua Matteson, Sam Morley, Hannah Nicholls, Martin T. O'Reilly, Christina Pagel, Edward Palmer, Jack Roberts, Timothy J. Roberts, David S. Robertson, James Robinson, Patrick Rockenschaub, Roy A. Ruddle, Elizabeth Sapey, Luis Santos, Andrew A. S. Soltan, Fang Gao-Smith, Colin Starr, Oliver Strickson, Li Su, Mia S. Tackney, Johan Hilge Thygesen, Ana Torralbo, Alice M. Turner, Catalina A. Vallejos, Chenyang Wang, Kirstie J. Whitaker, Tony Whitehouse, David R. Westhead, Wai Keong Wong, Yue Wu, Lingyi Yang, Xiaoxu Zou

Data, 2025

MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem.

Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Robust prediction under missingness shifts.

Patrick Rockenschaub, Zhicong Xian, Alireza Zamanian, Marta Piperno, Octavia-Andreea Ciora, Elisabeth Pachl, Narges Ahmidi

CoRR, 2024

DomainLab: A modular Python package for domain generalization in deep learning.

Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr

CoRR, 2024

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML.

Robin Van De Water, Hendrik Schmidt, Paul W. G. Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU.

Patrick Rockenschaub, Adam Hilbert, Tabea Kossen, Falk von Dincklage, Vince Istvan Madai, Dietmar Frey

CoRR, 2023

2021

Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes.

Oliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen

Proceedings of the Machine Learning for Health, 2021