Logion: Machine-Learning Based Detection and Correction of Textual Errors in Greek Philology. - Charlie Cowen-Breen; Creston Brooks; Barbara Graziosi; Johannes Haubold (ALP@RANLP, 2023)

Logion: Machine Learning for Greek Philology. - Charlie Cowen-Breen; Creston Brooks; Johannes Haubold; Barbara Graziosi (CoRR, 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)

Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. - Marc Fischer 003; Thomas Küstner; Sofia Pappa; Thoralf Niendorf; Tobias Pischon; Thomas Kröncke; Stefanie Bette; Sara Schramm; Börge Schmidt; Johannes Haubold; Felix Nensa; Tobias Nonnenmacher; et al. (BMC Medical Imaging, 2023)

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 (ICIP, 2024)

Gadolinium dose reduction for brain MRI using conditional deep learning. - Thomas Pinetz; Erich Kobler; Robert Haase 002; Julian A. Luetkens; Mathias Meetschen; Johannes Haubold; Cornelius Deuschl; Alexander Radbruch; Katerina Deike; Alexander Effland (CoRR, 2024)

SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees. - Sven Koitka; Giulia Baldini 001; Cynthia S. Schmidt; Olivia B. Pollok; Obioma Pelka; Judith Kohnke; Katarzyna Borys; Christoph M. Friedrich; Benedikt M. Schaarschmidt; Michael Forsting; Lale Umutlu; Johannes Haubold; et al. (CoRR, 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; et al. (CoRR, 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., 2024)

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 (NAACL (Findings), 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 002; Enrico Nasca; Janis Evers; Johannes Haubold; René Hosch; Felix Nensa; Michael Kamp; Constantin Seibold; Jan Egger; Jens Kleesiek (Comput. Methods Programs Biomed., 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; et al. (CoRR, 2025)