176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Heidelberg UniversityDE15 papers
- University Hospital HeidelbergDE14 papers
- German Cancer Research CenterDE9 papers
- National Center for Tumor DiseasesDE7 papers
- University Hospital Carl Gustav CarusDE4 papers
- Else Kröner Fresenius Center for Digital HealthDE3 papers
- LMU KlinikumDE3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
- Universitätsklinikum WürzburgDE3 papers
- University Hospital RegensburgDE3 papers
- University of MannheimDE3 papers
- Comprehensive Cancer Center ErlangenDE2 papers
15 papers
Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
Anna Hinterberger, Jonas Bohn, Dasha Trofimova +13
Non-invasive colorectal cancer (CRC) screening represents a key opportunity to improve colonoscopy participation rates and reduce CRC mortality. This study explores the potential o…
Characterization of a novel plastic scintillation detector for in vivo electron dosimetry
Cornelius J. Bauer, Frank Schneider, Ida D. Göbel +3
Introduction: Real-time dosimetry of surface doses in electron beams has not been widely established yet. Plastic scintillation detectors (PSD) promise high spatial resolution and…
SynBench: A Synthetic Benchmark for Non-rigid 3D Point Cloud Registration
Sara Monji-Azad, Marvin Kinz, Claudia Scherl +3
Non-rigid point cloud registration is a crucial task in computer vision. Evaluating a non-rigid point cloud registration method requires a dataset with challenges such as large def…
Deep intra-operative illumination calibration of hyperspectral cameras
Alexander Baumann, Leonardo Ayala, Alexander Studier-Fischer +6
Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications. Currently available cameras, however, suffer from poor i…
AI-powered skin spectral imaging enables instant sepsis diagnosis and outcome prediction in critically ill patients
Silvia Seidlitz, Katharina Hölzl, Ayca von Garrel +10
With sepsis remaining a leading cause of mortality, early identification of patients with sepsis and those at high risk of death is a challenge of high socioeconomic importance. Gi…
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study
Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller +4
Large Language Models (LLMs) are revolutionizing medical Question-Answering (medQA) through extensive use of medical literature. However, their performance is often hampered by out…
Deep learning based detection of collateral circulation in coronary angiographies
Cosmin-Andrei Hatfaludi, Daniel Bunescu, Costin Florian Ciusdel +9
Coronary artery disease (CAD) is the dominant cause of death and hospitalization across the globe. Atherosclerosis, an inflammatory condition that gradually narrows arteries and ha…
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study
Lukas Heinlein, Roman C. Maron, Achim Hekler +27
Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence…
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks
Sara Monji-Azad, Marvin Kinz, Jürgen Hesser
Point cloud registration is a fundamental problem in computer vision that aims to estimate the transformation between corresponding sets of points. Non-rigid registration, in parti…
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
Achim Hekler, Roman C. Maron, Sarah Haggenmüller +28
Background: Convolutional neural network (CNN)-based melanoma classifiers face several challenges that limit their usefulness in clinical practice. Objective: To investigate the im…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
Experimental determination of pore shapes using phase retrieval from q-space NMR diffraction
Kerstin Demberg, Frederik Bernd Laun, Marco Bertleff +2
This paper presents a novel approach on solving the phase problem in nuclear magnetic resonance (NMR) diffusion pore imaging, a method, which allows imaging the shape of arbitrary…
A container-based facility for testing 20'000 20-inch PMTs for JUNO
Björn Wonsak, Alexander Tietzsch, Tobias Sterr +13
The main goal of the JUNO experiment is the determination of the neutrino mass ordering. To achieve this, an extraordinary energy resolution of at least at MeV is requ…
Generation of annotated multimodal ground truth datasets for abdominal medical image registration
Dominik F. Bauer, Tom Russ, Barbara I. Waldkirch +5
Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical…
Theory of Coherent and Incoherent Nuclear Spin-Dephasing in the Heart
Wolfgang R. Bauer, Walter Nadler, Michael Bock +4
We present an analytical theory of susceptibility induced nuclear spin dephasing in the capillary network of myocardium. Using a strong collision approach, equations are obtained f…