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)

From admission to discharge: a systematic review of clinical natural language processing along the patient journey. - Katrin Klug; Katharina Beckh; Dario Antweiler; Nilesh Chakraborty; Giulia Baldini 001; Katharina Laue; René Hosch; Felix Nensa; Martin Schuler; Sven Giesselbach (BMC Medical Informatics Decis. Mak., 2024)

From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports. - Kamyar Arzideh; Henning Schäfer; Héctor Allende-Cid; Giulia Baldini 001; Thomas Hilser; Ahmad Idrissi-Yaghir; Katharina Laue; Nilesh Chakraborty; Niclas Doll; Dario Antweiler; Katrin Klug; Niklas Beck; et al. (Comput. Biol. 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 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)