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Mathias Holtkamp

University Hospital Essen

Research Interests

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Promoting Excellence in Medicine: The University Medicine Essen Clinician Scientist Academy (UMEA)

Open Date: 2024-09-01

Close Date: 2027-09-01

Articles (20)

Collaborators (5)

Hanna Styczen

Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen

Marcel, Klaus Opitz

Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen

Sebastian Zensen

University Hospital Essen

Robert Haase

University Hospital Bonn

Dirk Schadendorf

University Hospital Essen

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mathias Holtkamp

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (20)

Collaborators (5)

Hanna Styczen

Marcel, Klaus Opitz

Sebastian Zensen

Robert Haase

Dirk Schadendorf

Make your next move.

Mathias Holtkamp

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (20)

Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning

Multi-modal computational data analysis for prediction of response to systemic treatment in metastatic melanoma

Influence of Tube Voltage, Tin Filtration, and Sex on Radiation Dose and Image Quality in Adult Chest Photon-Counting CT: A Phantom-Based Signal-to-Noise-Based Analysis

The Effect of Contrast Media Formulations with Different Iodine Preparation Concentrations at a Constant Iodine Delivery Rate in Low-kV CT Angiography: An Experimental Animal Study

Deep Learning–Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI

Current Use, Effectiveness, and Safety of Image-Guided Bone Biopsies: Insights from the Registry of the German Society for Interventional Radiology and Minimally Invasive Therapy (DeGIR) Data 2018–2022

Fully automated detection and identification of CSF shunt valves using YOLOv8 and a class-based reference image assignment as a safety mechanism

Impact of Elexacaftor–Tezacaftor–Ivacaftor on Muscle Composition in Cystic Fibrosis: An AI-Assisted Chest CT-Based Body Composition Analysis

AI-guided virtual biopsy: Automated differentiation of cerebral gliomas from other benign and malignant MRI findings using deep learning

Cardiac magnetic resonance imaging in patients with suspected myocarditis from immune checkpoint inhibitor therapy - A real-world observational study☆

Moving Beyond CT Body Composition Analysis Using Style Transfer for Bringing CT-Based Fully-Automated Body Composition Analysis to T2-Weighted MRI Sequences

The Impact of Radiation Dose on CT-Based Body Composition Analysis: A Large-Animal Study

Impact of imaging biomarkers from body composition analysis on outcome of endovascularly treated acute ischemic stroke patients

Opportunistic Screening for Low Bone Mineral Density in Adults with Cystic Fibrosis Using Low-Dose Computed Tomography of the Chest with Artificial Intelligence

Low-dose high-resolution chest CT in adults with cystic fibrosis: intraindividual comparison between photon-counting and energy-integrating detector CT.

Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis.

AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients

The importance of educational tools and a new software solution for visualizing and quantifying report correction in radiology training

Fully automated MR-based virtual biopsy of primary CNS lymphomas

Fully automatic quantification of pulmonary fat attenuation volume by CT: an exploratory pilot study

Collaborators (5)

Hanna Styczen

Marcel, Klaus Opitz

Sebastian Zensen

Robert Haase

Dirk Schadendorf

Make your next move.