Zobrazeno 1 - 10
of 933
pro vyhledávání: '"Bayerl, P."'
Autor:
Braun, Franziska, Bayerl, Sebastian P., Hönig, Florian, Lehfeld, Hartmut, Hillemacher, Thomas, Bocklet, Tobias, Riedhammer, Korbinian
Speech pauses, alongside content and structure, offer a valuable and non-invasive biomarker for detecting dementia. This work investigates the use of pause-enriched transcripts in transformer-based language models to differentiate the cognitive state
Externí odkaz:
http://arxiv.org/abs/2408.15188
Autor:
Wagner, Dominik, Bayerl, Sebastian P., Baumann, Ilja, Riedhammer, Korbinian, Nöth, Elmar, Bocklet, Tobias
Accurately detecting dysfluencies in spoken language can help to improve the performance of automatic speech and language processing components and support the development of more inclusive speech and language technologies. Inspired by the recent tre
Externí odkaz:
http://arxiv.org/abs/2406.11025
Autor:
Bayerl, Petra Saskia, Akhgar, Babak, La Mattina, Ernesto, Pirillo, Barbara, Cotoi, Ioana, Ariu, Davide, Mauri, Matteo, Garcia, Jorge, Kavallieros, Dimitris, Kardara, Antonia, Karagiorgou, Konstantina
This paper investigates citizens' counter-strategies to the use of Artificial Intelligence (AI) by law enforcement agencies (LEAs). Based on information from three countries (Greece, Italy and Spain) we demonstrate disparities in the likelihood of te
Externí odkaz:
http://arxiv.org/abs/2405.19970
Autor:
Häntze, Hartmut, Xu, Lina, Mertens, Christian J., Dorfner, Felix J., Donle, Leonhard, Busch, Felix, Kader, Avan, Ziegelmayer, Sebastian, Bayerl, Nadine, Navab, Nassir, Rueckert, Daniel, Schnabel, Julia, Aerts, Hugo JWL, Truhn, Daniel, Bamberg, Fabian, Weiß, Jakob, Schlett, Christopher L., Ringhof, Steffen, Niendorf, Thoralf, Pischon, Tobias, Kauczor, Hans-Ulrich, Nonnenmacher, Tobias, Kröncke, Thomas, Völzke, Henry, Schulz-Menger, Jeanette, Maier-Hein, Klaus, Prokop, Mathias, van Ginneken, Bram, Hering, Alessa, Makowski, Marcus R., Adams, Lisa C., Bressem, Keno K.
Purpose: To develop and evaluate a deep learning model for multi-organ segmentation of MRI scans. Materials and Methods: The model was trained on 1,200 manually annotated 3D axial MRI scans from the UK Biobank, 221 in-house MRI scans, and 1228 CT sca
Externí odkaz:
http://arxiv.org/abs/2405.06463
Autor:
Dennis Fast, Lisa C. Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus Makowski, Alexander Löser, Keno K. Bressem
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Autonomous Medical Evaluation for Guideline Adherence (AMEGA) is a comprehensive benchmark designed to evaluate large language models’ adherence to medical guidelines across 20 diagnostic scenarios spanning 13 specialties. It includes an e
Externí odkaz:
https://doaj.org/article/c8280213f8ff4f67a33a9ced4675b321
Autor:
Braun, Franziska, Bayerl, Sebastian P., Pérez-Toro, Paula A., Hönig, Florian, Lehfeld, Hartmut, Hillemacher, Thomas, Nöth, Elmar, Bocklet, Tobias, Riedhammer, Korbinian
Automated dementia screening enables early detection and intervention, reducing costs to healthcare systems and increasing quality of life for those affected. Depression has shared symptoms with dementia, adding complexity to diagnoses. The research
Externí odkaz:
http://arxiv.org/abs/2308.08306
Publikováno v:
Springer Nature - Book Series 2023: Transactions on Computational Science & Computational Intelligence Springer Nature - Book Series: Transactions on Computational Science & Computational Intelligence
In the light of modern technological advances, Artificial Intelligence (AI) is relied upon to enhance performance, increase efficiency, and maximize gains. For Law Enforcement Agencies (LEAs), it can prove valuable in optimizing evidence analysis and
Externí odkaz:
http://arxiv.org/abs/2306.01786
Autor:
Bayerl, Sebastian P., Wagner, Dominik, Baumann, Ilja, Hönig, Florian, Bocklet, Tobias, Nöth, Elmar, Riedhammer, Korbinian
Most stuttering detection and classification research has viewed stuttering as a multi-class classification problem or a binary detection task for each dysfluency type; however, this does not match the nature of stuttering, in which one dysfluency se
Externí odkaz:
http://arxiv.org/abs/2305.19255
Autor:
Anna-Marie Pedde, Hyunu Kim, Sainitin Donakonda, Tobias Baumann, Felix Bayerl, Philippa Meiser, Anna Hirschberger, Christine Klement, Simon Grassmann, Rupert Öllinger, Norbert Hüser, Daniel Hartmann, Melanie Laschinger, Joseph A. Trapani, Alfred Zippelius, Tobias Bald, Gabriela M. Wiedemann, Roland Rad, Joseph C. Sun, Bastian Höchst, Jan P. Böttcher
Publikováno v:
Cell Reports, Vol 43, Iss 11, Pp 114855- (2024)
Summary: Natural killer (NK) cells are critical for anti-metastatic immunity and can eliminate metastasizing tumor cells within circulation and sites of metastatic seeding. Here, we show that disseminated tumor cells (DTCs) colonizing the mouse lung
Externí odkaz:
https://doaj.org/article/f59733942ee14e7693060de6e6edd91a
This work adapts two recent architectures of generative models and evaluates their effectiveness for the conversion of whispered speech to normal speech. We incorporate the normal target speech into the training criterion of vector-quantized variatio
Externí odkaz:
http://arxiv.org/abs/2212.01775