Johannes Haubold

According to our database, Johannes Haubold authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space.

Moritz Rempe, Lukas T. Rotkopf, Marco Schlimbach, Helmut Becker, Fabian Hörst, Johannes Haubold, Philipp Dammann, Kevin Kröninger, Jens Kleesiek

CoRR, January, 2026

Deep learning based volumetric analysis of infrarenal abdominal aortic aneurysms characterized on CTA.

David Weiss, Thomas Hager, Mingde Lin, Durga Sritharan, Khaled Bousabarah, Daniel Renninghoff, Wolfgang Holler, Kathryn Simmons, Johannes Haubold, Sarah Loh, Uwe Fischer, Julius Chapiro, Cornelius Deuschl, Mariam Aboian, Edouard Aboian, Sanjay Aneja

npj Digit. Medicine, 2026

2025

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography.

Murong Xu, Tamaz Amiranashvili, Fernando Navarro, Maksym Fritsak, Ibrahim Ethem Hamamci, Suprosanna Shit, Bastian Wittmann, Sezgin Er, Sebastian M. Christ, Ezequiel de la Rosa, Julian Deseoe, Robert Graf, Hendrik Kristian Möller, Anjany Sekuboyina, Jan C. Peeken, Anton S. Becker, Giulia Baldini, Johannes Haubold, Felix Nensa, René Hosch, Nikhil Mirajkar, Saad Khalid, Stefan Zachow, Marc-André Weber, Georg Langs, Jakob Wasserthal, Mehmet Kemal Özdemir, Andrey Fedorov, Ron Kikinis, Stephanie Tanadini-Lang, Jan S. Kirschke, Stephanie E. Combs, Bjoern H. Menze

CoRR, July, 2025

Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification.

Katarzyna Borys, Johannes Haubold, Julius Keyl, Maria A. Bali, Riccardo De Angelis, Kévin Brou Boni, Nicolas Coquelet, Judith Kohnke, Giulia Baldini, Lennard Kroll, Sara Schramm, Andreas Stang, Eugen Malamutmann, Jens Kleesiek, Moon S. Kim, Stefan Kasper, Jens T. Siveke, Marcel Wiesweg, Anja Merkel-Jens, Benedikt M. Schaarschmidt, Viktor Grünwald, Sebastian Bauer, Arzu Oezcelik, Servet Bölükbas, Ken Herrmann, Rainer Kimmig, Stephan Lang, Jürgen Treckmann, Martin Stuschke, Boris Hadaschik, Lale Umutlu, Michael Forsting, Dirk Schadendorf, Christoph M. Friedrich, Martin Schuler, René Hosch, Felix Nensa

npj Digit. Medicine, 2025

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries.

Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek

Comput. Methods Programs Biomed., 2025

An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them.

Creston Brooks, Johannes Haubold, Charlie Cowen-Breen, Jay White, Desmond DeVaul, Frederick Riemenschneider, Karthik R. Narasimhan, Barbara Graziosi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

k-strip: A novel segmentation algorithm in k-space for the application of skull stripping.

Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek

Comput. Methods Programs Biomed., January, 2024

ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics.

Oishi Banerjee, Agustina Saenz, Kay Wu, Warren Clements, Adil Zia, Dominic Buensalido, Helen Kavnoudias, Alain S. Abi-Ghanem, Nour El Ghawi, Cibele Luna, Patricia Castillo, Khaled Al-Surimi, Rayyan A. Daghistani, Yuh-Min Chen, Heng-sheng Chao, Lars Heiliger, Moon Kim, Johannes Haubold, Frederic Jonske, Pranav Rajpurkar

CoRR, 2024

SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees.

Sven Koitka, Giulia Baldini, Cynthia S. Schmidt, Olivia B. Pollok, Obioma Pelka, Judith Kohnke, Katarzyna Borys, Christoph M. Friedrich, Benedikt M. Schaarschmidt, Michael Forsting, Lale Umutlu, Johannes Haubold, Felix Nensa, René Hosch

CoRR, 2024

Gadolinium dose reduction for brain MRI using conditional deep learning.

Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland

CoRR, 2024

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset.

Alexander Jaus, Constantin Seibold, Kelsey Hermann, Negar Shahamiri, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study.

Marc Fischer, Thomas Küstner, Sofia Pappa, Thoralf Niendorf, Tobias Pischon, Thomas Kröncke, Stefanie Bette, Sara Schramm, Börge Schmidt, Johannes Haubold, Felix Nensa, Tobias Nonnenmacher, Viktoria Palm, Fabian Bamberg, Lena Kiefer, Fritz Schick, Bin Yang

BMC Medical Imaging, December, 2023

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines.

Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen

CoRR, 2023

Logion: Machine Learning for Greek Philology.

Charlie Cowen-Breen, Creston Brooks, Johannes Haubold, Barbara Graziosi

CoRR, 2023

Logion: Machine-Learning Based Detection and Correction of Textual Errors in Greek Philology.

Charlie Cowen-Breen, Creston Brooks, Barbara Graziosi, Johannes Haubold

Proceedings of the Ancient Language Processing Workshop, 2023