Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Maximilian F Russe"'
Autor:
Stephan Rau, Alexander Rau, Johanna Nattenmüller, Anna Fink, Fabian Bamberg, Marco Reisert, Maximilian F. Russe
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-8 (2024)
Abstract Background We investigated the potential of an imaging-aware GPT-4-based chatbot in providing diagnoses based on imaging descriptions of abdominal pathologies. Methods Utilizing zero-shot learning via the LlamaIndex framework, GPT-4 was enha
Externí odkaz:
https://doaj.org/article/aa1b79565b334cd4ac9680811f0f13db
Autor:
Anna Fink, Hien Tran, Marco Reisert, Alexander Rau, Jörg Bayer, Elmar Kotter, Fabian Bamberg, Maximilian F. Russe
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Background The growing prevalence of musculoskeletal diseases increases radiologic workload, highlighting the need for optimized workflow management and automated metadata classification systems. We developed a large-scale, well-characterize
Externí odkaz:
https://doaj.org/article/de84f5747e074bdfa458811339e94937
Autor:
Christopher Schuppert, Susanne Rospleszcz, Jochen G. Hirsch, Daniel C. Hoinkiss, Alexander Köhn, Ricarda von Krüchten, Maximilian F. Russe, Thomas Keil, Lilian Krist, Börge Schmidt, Karin B. Michels, Sabine Schipf, Hermann Brenner, Thomas J. Kröncke, Tobias Pischon, Thoralf Niendorf, Jeanette Schulz-Menger, Michael Forsting, Henry Völzke, Norbert Hosten, Robin Bülow, Maxim Zaitsev, Hans-Ulrich Kauczor, Fabian Bamberg, Matthias Günther, Christopher L. Schlett
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract In magnetic resonance imaging (MRI), the perception of substandard image quality may prompt repetition of the respective image acquisition protocol. Subsequently selecting the preferred high-quality image data from a series of acquisitions c
Externí odkaz:
https://doaj.org/article/e2b22445b4b648cdb751618f06f3afe7
Autor:
Maximilian F. Russe, Anna Fink, Helen Ngo, Hien Tran, Fabian Bamberg, Marco Reisert, Alexander Rau
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-6 (2023)
Abstract While radiologists can describe a fracture’s morphology and complexity with ease, the translation into classification systems such as the Arbeitsgemeinschaft Osteosynthesefragen (AO) Fracture and Dislocation Classification Compendium is mo
Externí odkaz:
https://doaj.org/article/2ef6b78e346448b7bd337087baf6d878
Autor:
Alexander Rau, Nils Schröter, Michel Rijntjes, Fabian Bamberg, Wolfgang H. Jost, Maxim Zaitsev, Cornelius Weiller, Stephan Rau, Horst Urbach, Marco Reisert, Maximilian F. Russe
Publikováno v:
European Radiology.
Objectives The precise segmentation of atrophic structures remains challenging in neurodegenerative diseases. We determined the performance of a Deep Neural Patchwork (DNP) in comparison to established segmentation algorithms regarding the ability to
Autor:
Claudio E. von Schacky, Nikolas J. Wilhelm, Valerie S. Schäfer, Yannik Leonhardt, Matthias Jung, Pia M. Jungmann, Maximilian F. Russe, Sarah C. Foreman, Felix G. Gassert, Florian T. Gassert, Benedikt J. Schwaiger, Carolin Mogler, Carolin Knebel, Ruediger von Eisenhart-Rothe, Marcus R. Makowski, Klaus Woertler, Rainer Burgkart, Alexandra S. Gersing
Publikováno v:
European Radiology. 32:6247-6257
Objectives To develop and validate machine learning models to distinguish between benign and malignant bone lesions and compare the performance to radiologists. Methods In 880 patients (age 33.1 ± 19.4 years, 395 women) diagnosed with malignant (n =
Autor:
Alexandra S. Gersing, Rainer Burgkart, Marcus R. Makowski, Rüdiger von Eisenhart-Rothe, Florian T. Gassert, Carolin Mogler, Matthias Jung, Pia M. Jungmann, Felix G. Gassert, Claudio E. von Schacky, Valerie S. Schäfer, Sarah C. Foreman, Maximilian F. Russe, Klaus Woertler, Yannik Leonhardt, Nikolas J. Wilhelm, Carolin Knebel
Publikováno v:
Radiology. 301:398-406
Background An artificial intelligence model that assesses primary bone tumors on radiographs may assist in the diagnostic workflow. Purpose To develop a multitask deep learning (DL) model for simultaneous bounding box placement, segmentation, and cla
Autor:
David Steybe, Philipp Poxleitner, Marc C. Metzger, Rainer Schmelzeisen, Maximilian F. Russe, Marc Anton Fuessinger, Leonard S. Brandenburg, Pit J. Voss, Stefan Schlager
Publikováno v:
HeadneckREFERENCES. 44(12)
This study evaluated the accuracy of computer-assisted surgery (CAS)-driven DCIA (deep circumflex iliac artery) flap mandibular reconstruction by traditional morphometric methods and geometric morphometric methods (GMM).Reconstruction accuracy was ev
Autor:
Marco Reisert, Bastian E.A. Sajonz, Timo S. Brugger, Peter C. Reinacher, Maximilian F. Russe, Elias Kellner, Henrik Skibbe, Volker A. Coenen
Publikováno v:
Neuromodulation : journal of the International Neuromodulation Society.
Recent developments in the postoperative evaluation of deep brain stimulation surgery on the group level warrant the detection of achieved electrode positions based on postoperative imaging. Computed tomography (CT) is a frequently used imaging modal
Autor:
Stefano Pieralli, Christoph Beyer, Christian Wesemann, Kirstin Vach, Maximilian F. Russe, Florian Kernen, Katja Nelson, Benedikt C. Spies
Publikováno v:
Clinical oral implants researchREFERENCES. 33(10)
To evaluate the impact of reducing the radiographic field of view (FOV) on the trueness and precision of the alignment between cone beam computed tomography (CBCT) and intraoral scanning data for implant planning.Fifteen participants presenting with