Developing and Evaluating Virtual Cardiotomy for Preoperative Planning in Congenital Heart Disease. - Thomas Sangild Sørensen; Philipp Beerbaum; Jesper Mosegaard; Gerald Franz Greil (MMVR, 2009)

Measurement of Aortic Pressure Wave Velocity by 4D Image Registration. - David C. Barber; Yubing Shi; Cristina Staicu; Philipp Beerbaum; Izra Valverde; Joanna Baginska; Marcel C. M. Rutten; Nicholas R. Gaddum; D. Rodney Hose (MIUA, 2011)

Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations. - Jürgen Weese; Alexandra Groth; Hannes Nickisch; Hans Barschdorf; Frank M. Weber; Jérôme Velut; Miguel Castro 002; Christine Toumoulin; Jean-Louis Coatrieux; Mathieu De Craene; Gemma Piella; Catalina Tobon-Gomez; et al. (Medical Biol. Eng. Comput., 2013)

Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition. - Kristin McLeod; Maxime Sermesant; Philipp Beerbaum; Xavier Pennec (MICCAI (3), 2015)

Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics. - Kristin McLeod; Maxime Sermesant; Philipp Beerbaum; Xavier Pennec (IEEE Trans. Medical Imaging, 2015)

An interoperable clinical decision-support system for early detection of SIRS in pediatric intensive care using openEHR. - Antje Wulff; Birger Haarbrandt; Erik Tute; Michael Marschollek; Philipp Beerbaum; Thomas Jack (Artif. Intell. Medicine, 2018)

How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalize to rare congenital heart diseases for surgical planning? - Sven Koehler; Animesh Tandon; Tarique Hussain; Heiner Latus; Thomas Pickardt; Samir Sarikouch; Philipp Beerbaum; Gerald Greil; Sandy Engelhardt; Ivo Wolf (Image-Guided Procedures, 2020)

Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease. - Gerhard-Paul Diller; Julius Vahle; Robert Radke; Maria Luisa Benesch Vidal; Alicia Jeanette Fischer; Ulrike M. M. Bauer; Samir Sarikouch; Felix Berger; Philipp Beerbaum; Helmut Baumgartner; Stefan Orwat (BMC Medical Imaging, 2020)

How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning? - Sven Koehler; Animesh Tandon; Tarique Hussain; Heiner Latus; Thomas Pickardt; Samir Sarikouch; Philipp Beerbaum; Gerald Greil; Sandy Engelhardt; Ivo Wolf (CoRR, 2020)

Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data. - Marcel Mast; Michael Marschollek; Louisa Bode; Antje Wulff; Sven Schamer; Henning Rathert; Thomas Jack; Philipp Beerbaum; Nicole Rübsamen; Julia Böhnke; André Karch; Pronaya Prosun; et al. (ICIMTH, 2021)

Clinical evaluation of an interoperable clinical decision-support system for the detection of systemic inflammatory response syndrome in critically ill children. - Antje Wulff; Sara Montag; Nicole Rübsamen; Friederike Dziuba; Michael Marschollek; Philipp Beerbaum; André Karch; Thomas Jack (BMC Medical Informatics Decis. Mak., 2021)

MedDoc-Bot: A Chat Tool for Comparative Analysis of Large Language Models in the Context of the Pediatric Hypertension Guideline. - Mohamed Yaseen Jabarulla; Steffen Oeltze-Jafra; Philipp Beerbaum; Theodor Uden (EMBC, 2024)

Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning. - Mohamed Yaseen Jabarulla; Theodor Uden; Thomas Jack; Philipp Beerbaum; Steffen Oeltze-Jafra (CoRR, 2024)

MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines. - Mohamed Yaseen Jabarulla; Steffen Oeltze-Jafra; Philipp Beerbaum; Theodor Uden (CBMS, 2025)

A rule-based clinical decision support system for detection of acute kidney injury after pediatric cardiac surgery. - Janice Wachenbrunner; Marcel Mast; Julia Böhnke; Nicole Rübsamen; Louisa Bode; André Karch; Henning Rathert; Alexander Horke; Philipp Beerbaum; Michael Marschollek; Thomas Jack; Martin Böhne (Comput. Biol. Medicine, 2025)