Stephan Ellmann Department of Radiology University Hospital Erlangen Biography Publications Institution JoVE Articles Stephan EllmannPD Dr. Senior physician (University Hospital Erlangen) in radiology and molecular medicine with research focus on "Multimodal Imaging" and "Quantitative Radiology" using Artificial Intelligence and Machine Learning. Solid knowledge in all imaging techniques and molecular and translational medicine. Profound knowledge in statistics and programming (R). Publications Cinematic Rendering in Anatomy: A Crossover Study Comparing a Novel 3D Reconstruction Technique to Conventional Computed Tomography Anatomical Sciences Education. Jun, 2020 | Pubmed ID: 32521121 Combination of an Ultrafast TWIST-VIBE Dixon Sequence Protocol and Diffusion-weighted Imaging into an Accurate Easily Applicable Classification Tool for Masses in Breast MRI European Radiology. May, 2020 | Pubmed ID: 32002644 Implementation of Machine Learning into Clinical Breast MRI: Potential for Objective and Accurate Decision-making in Suspicious Breast Masses PloS One. Month, 2020 | Pubmed ID: 31999755 Prediction of Early Metastatic Disease in Experimental Breast Cancer Bone Metastasis by Combining PET/CT and MRI Parameters to a Model-Averaged Neural Network Bone. 03, 2019 | Pubmed ID: 30445200 Advanced Modeled Iterative Reconstruction (ADMIRE) Facilitates Radiation Dose Reduction in Abdominal CT Academic Radiology. 10, 2018 | Pubmed ID: 29500115 실험래기 모델에서 뼈 전이를 조기에 감지하기 위한 기계 학습 알고리즘 Stephan Ellmann1, Lisa Seyler1, Clarissa Gillmann2, Vanessa Popp1, Christoph Treutlein1, Aline Bozec3, Michael Uder1, Tobias Bäuerle1 1Department of Radiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, 2Department of Medical Physics in Radiation Oncology, German Cancer Research Center, 3Department of Internal Medicine 3, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg JoVE 61235 Cancer Research
실험래기 모델에서 뼈 전이를 조기에 감지하기 위한 기계 학습 알고리즘 Stephan Ellmann1, Lisa Seyler1, Clarissa Gillmann2, Vanessa Popp1, Christoph Treutlein1, Aline Bozec3, Michael Uder1, Tobias Bäuerle1 1Department of Radiology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, 2Department of Medical Physics in Radiation Oncology, German Cancer Research Center, 3Department of Internal Medicine 3, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg JoVE 61235 Cancer Research
