Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (BIOIMAGING, 2018)

Optimizing Body Region Classification with Deep Convolutional Activation Features. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (ECCV Workshops (4), 2018)

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset. - Obioma Pelka; Sven Koitka; Johannes Rückert; Felix Nensa; Christoph M. Friedrich (CVII-STENT/LABELS@MICCAI, 2018)

Variations on Branding with Text Occurrence for Optimized Body Parts Classification. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (EMBC, 2019)

Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (ICCV Workshops, 2019)

Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks. - Sven Koitka; Lennard Kroll; Eugen Malamutmann; Arzu Oezcelik; Felix Nensa (CoRR, 2020)

Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks. - Sven Koitka; Moon S. Kim 002; Ming Qu; Asja Fischer; Christoph M. Friedrich; Felix Nensa (Medical Image Anal., 2020)

MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. - Frederic Jonske; Maximilian Dederichs; Moon-Sung Kim 002; Jan Egger; Lale Umutlu; Michael Forsting; Felix Nensa; Jens Kleesiek (CoRR, 2021)

Current State of Community-Driven Radiological AI Deployment in Medical Imaging. - Vikash Gupta; Barbaros Selnur Erdal; Carolina Ramirez; Ralf Floca; Laurence Jackson; Brad W. Genereaux; Sidney Bryson; Christopher P. Bridge; Jens Kleesiek; Felix Nensa; Rickmer Braren; Khaled Younis; et al. (CoRR, 2022)

Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology. - Daniel Sauter; Georg Lodde; Felix Nensa; Dirk Schadendorf; Elisabeth Livingstone; Markus Kukuk (Sensors, 2022)

Open-source skull reconstruction with MONAI. - Jianning Li 002; André Ferreira; Behrus Puladi; Victor Alves; Michael Kamp; Moon S. Kim 002; Felix Nensa; Jens Kleesiek; Seyed-Ahmad Ahmadi; Jan Egger (SoftwareX, 2023)

Deep learning in computational dermatopathology of melanoma: A technical systematic literature review. - Daniel Sauter; Georg Lodde; Felix Nensa; Dirk Schadendorf; Elisabeth Livingstone; Markus Kukuk (Comput. Biol. Medicine, 2023)

ROCOv2: Radiology Objects in COntext Version 2, An Updated Multimodal Image Dataset. - Johannes Rückert; Christoph Balada; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Cynthia S. Schmidt; Sven Koitka; Obioma Pelka; Asma Ben Abacha; Alba Garcia Seco de Herrera; Henning Müller; Peter A. Horn; et al. (Zenodo, 2023)

ROCOv2: Radiology Objects in COntext Version 2, An Updated Multimodal Image Dataset. - Johannes Rückert; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Cynthia S. Schmidt; Sven Koitka; Obioma Pelka; Asma Ben Abacha; Alba Garcia Seco de Herrera; Henning Müller; Peter A. Horn; et al. (Zenodo, 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)

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. - Ahmad Idrissi-Yaghir; Amin Dada; Henning Schäfer; Kamyar Arzideh; Giulia Baldini 001; Jan Trienes; Max Hasin; Jeanette Bewersdorff; Cynthia S. Schmidt; Marie Bauer; Kaleb E. Smith; Jiang Bian 001; et al. (LREC/COLING, 2024)

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset. - Johannes Rückert; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Cynthia S. Schmidt; Sven Koitka; Obioma Pelka; Asma Ben Abacha; Alba García Seco de Herrera; Henning Müller; Peter A. Horn; et al. (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)

Regulating radiology AI medical devices that evolve in their lifecycle. - Camila González; Moritz Fuchs; Daniel Pinto dos Santos; Philipp Matthies; Manuel Trenz; Maximilian Grüning; Akshay Chaudhari; David B. Larson; Ahmed E. Othman; Moon Kim 002; Felix Nensa; Anirban Mukhopadhyay 003 (CoRR, 2024)

The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study. - Jessica Swoboda; Moritz Albert; Catharina Lena Beckmann; Georg Christian Lodde; Elisabeth Livingstone; Felix Nensa; Dirk Schadendorf; Britta Böckmann (Informatics, 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)

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)