Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski

MICCAI (Medical Image Computing and Computer-Assisted Intervention), 2025

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Non-Hodgkin’s lymphoma classification using 3D radiomics machine learning models for precision imaging in oncology

Christoph Gerhard Lisson, Michael Götz, Daniel Wolf, Sabitha Manoj, Luisa Gallee, Stefan Andreas Schmidt, Eugen Tausch, Stephan Stilgenbauer, Ambros J. Beer, Meinrad Beer, Nico Sollmann, Cathrina Silvia Lisson

BMC Medical Imaging, 2025

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Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance

Daniel Wolf, Tristan Payer, Cathrina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski

Computers in Biology and Medicine., 2024

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Applicability of the CT Radiomics of Skeletal Muscle and Machine Learning for the Detection of Sarcopenia and Prognostic Assessment of Disease Progression in Patients with Gastric and Esophageal Tumors

Daniel Vogele, Teresa Müller, Daniel Wolf, Sabitha Manoj, Michael Götz, Meinrad Beer

Diagnostics, 2024

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Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging

Daniel Wolf, Tristan Payer, Cathrina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski

Nature Scientific Reports, 2023

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CT Radiomics and Clinical Feature Model to Predict Lymph Node Metastases in Early-Stage Testicular Cancer

Cathrina Silvia Lisson, Sabitha Manoj, Daniel Wolf, Jasper Schrader, Stefan Andreas Schmidt, Meinrad Beer, Michael Götz, Friedemann Zengerling, Christoph Gerhard Lisson

Onco, 2023

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Sarcopenia: Definition, radiological diagnosis, clinical significance

Daniel Vogele, Nico Sollmann, Daniel Wolf, Meinrad Beer, Stefan Andreas Schmidt

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 2023

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Weakly Supervised Learning with Positive and Unlabeled Data for Automatic Brain Tumor Segmentation

Daniel Wolf, Sebastian Regnery, Rafal Tarnawski, Barbara Bobek-Billewicz, Michael Götz

Applied Sciences, 2022

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Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma

Cathrina Silvia Lisson, Christoph Gerhard Lisson, Marc Fabian Mezger, Daniel Wolf, Stefan Andreas Schmidt, Wolfgang Thaiss, Eugen Tausch, Ambros J. Beer, Stephan Stilgenbauer, Meinrad Beer, Michael Götz

Cancers, 2022

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Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL)

Cathrina Silvia Lisson, Christoph Gerhard Lisson, Sherin Achilles, Marc Fabian Mezger, Daniel Wolf, Stefan Andreas Schmidt, Wolfgang Thaiss, Johannes Bloehdorn, Ambros J. Beer, Stephan Stilgenbauer, Meinrad Beer, Michael Götz

Cancers, 2022

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