Integrative multimodal image analysis using physical models for characterization of brain tumors in radiotherapy - Charlotte Debus (2016)

MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI. - Charlotte Debus; Ralf Floca; Michael Ingrisch; Ina Kompan; Klaus H. Maier-Hein; Amir Abdollahi; Marco Nolden (BMC Bioinform., 2019)

HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. - Markus Götz; Charlotte Debus; Daniel Coquelin; Kai Krajsek; Claudia Comito; Philipp Knechtges; Björn Hagemeier; Michael Tarnawa; Simon Hanselmann; Martin Siggel; Achim Basermann; Achim Streit (IEEE BigData, 2020)

Abstract: MITK-ModelFit. - Ina Kompan; Charlotte Debus; Michael Ingrisch; Klaus H. Maier-Hein; Amir Abdollahi; Marco Nolden; Ralf Floca (Bildverarbeitung für die Medizin, 2020)

Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads. - René Caspart; Sebastian Ziegler; Arvid Weyrauch; Holger Obermaier; Simon Raffeiner; Leon Pascal Schuhmacher; Jan Scholtyssek; Darya Trofimova; Marco Nolden; Ines Reinartz; Fabian Isensee; Markus Götz; et al. (ISC Workshops, 2022)

Accelerating neural network training with distributed asynchronous and selective optimization (DASO). - Daniel Coquelin; Charlotte Debus; Markus Götz; Fabrice von der Lehr; James Kahn; Martin Siggel; Achim Streit (J. Big Data, 2022)

perun: Benchmarking Energy Consumption of High-Performance Computing Applications. - Juan Pedro Gutiérrez H. Muriedas; Katharina Flügel; Charlotte Debus; Holger Obermaier; Achim Streit; Markus Götz (Euro-Par, 2023)

Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations. - Oskar Taubert; Marie Weiel; Daniel Coquelin; Anis Farshian; Charlotte Debus; Alexander Schug; Achim Streit; Markus Götz (ISC, 2023)

Feed-Forward Optimization With Delayed Feedback for Neural Networks. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Charlotte Debus; Achim Streit; Markus Götz (CoRR, 2023)

Reporting electricity consumption is essential for sustainable AI. - Charlotte Debus; Marie Piraud; Achim Streit; Fabian J. Theis; Markus Götz (Nat. Mac. Intell., 2023)

Deep-Learning-Based 3-D Surface Reconstruction - A Survey. - Anis Farshian; Markus Götz; Gabriele Cavallaro; Charlotte Debus; Matthias Nießner; Jón Atli Benediktsson; Achim Streit (Proc. IEEE, 2023)

Harnessing Orthogonality to Train Low-Rank Neural Networks. - Daniel Coquelin; Katharina Flügel; Marie Weiel; Nicholas Kiefer; Charlotte Debus; Achim Streit; Markus Götz (ECAI, 2024)

Taylor Expansion in Neural Networks: How Higher Orders Yield Better Predictions. - Pavel Zwerschke; Arvid Weyrauch; Markus Götz; Charlotte Debus (ECAI, 2024)

Feed-Forward Optimization With Delayed Feedback for Neural Network Training. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Charlotte Debus; Achim Streit; Markus Götz (ICONIP (4), 2024)

PETNet-Coincident Particle Event Detection using Spiking Neural Networks. - Jan Debus; Charlotte Debus; Günther Dissertori; Markus Götz (NICE, 2024)

Model Fusion via Neuron Transplantation. - Muhammed Öz; Nicholas Kiefer; Charlotte Debus; Jasmin Hörter; Achim Streit; Markus Götz (ECML/PKDD (4), 2024)

AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning. - Daniel Coquelin; Katherina Flügel; Marie Weiel; Nicholas Kiefer; Muhammed Öz; Charlotte Debus; Achim Streit; Markus Götz (CoRR, 2024)

ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers. - Arvid Weyrauch; Thomas Steens; Oskar Taubert; Benedikt Hanke; Aslan Eqbal; Ewa Götz; Achim Streit; Markus Götz; Charlotte Debus (CoRR, 2024)

A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting. - Nicholas Kiefer; Arvid Weyrauch; Muhammed Öz; Achim Streit; Markus Götz; Charlotte Debus (CoRR, 2024)

Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data. - Markus Götz; Erik Wessel; Ugur Çayoglu; Babak Jahani; Charlotte Debus; Jan Cermak; Achim Streit (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism. - Deifilia Kieckhefen; Markus Götz; Lars H. Heyen; Achim Streit; Charlotte Debus (CoRR, 2025)

Energy Consumption in Parallel Neural Network Training. - Philipp Huber; David Li; Juan Pedro Gutiérrez H. Muriedas; Deifilia Kieckhefen; Markus Götz; Achim Streit; Charlotte Debus (CoRR, 2025)