Zobrazeno 1 - 10
of 2 906
pro vyhledávání: '"Tesch, P."'
In this paper, we introduce a system based on transfer learning for detecting segment misalignment in multimirror satellites, such as future CubeSat designs and the James Webb Space Telescope (JWST), using image-based methods. When a mirror segment b
Externí odkaz:
http://arxiv.org/abs/2407.20582
Single-channel speech separation is a crucial task for enhancing speech recognition systems in multi-speaker environments. This paper investigates the robustness of state-of-the-art Neural Network models in scenarios where the pitch differences betwe
Externí odkaz:
http://arxiv.org/abs/2407.15749
While recent work on online goal recognition efficiently infers goals under low observability, comparatively less work focuses on online goal recognition that works in both discrete and continuous domains. Online goal recognition approaches often rel
Externí odkaz:
http://arxiv.org/abs/2307.07876
Autor:
Megan E. Tesch, Yue Zheng, Shoshana M. Rosenberg, Philip D. Poorvu, Kathryn J. Ruddy, Rulla Tamimi, Lidia Schapira, Jeffrey Peppercorn, Virginia Borges, Steven E. Come, Craig Snow, Shalender Bhasin, Ann H. Partridge
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Ovarian function suppression (OFS) benefits young women with hormone receptor (HR)-positive breast cancer but they are at risk for ovarian function breakthrough. We assessed endocrine effects of gonadotropin-releasing hormone agonist (GnRHa)
Externí odkaz:
https://doaj.org/article/f3ae8ab8377e4157997d9785ff9388a8
Autor:
Peter A. Fasching, Chunling Hu, Steven N. Hart, Matthias Ruebner, Eric C. Polley, Rohan D. Gnanaolivu, Andreas D. Hartkopf, Hanna Huebner, Wolfgang Janni, Peyman Hadji, Hans Tesch, Sabrina Uhrig, Johannes Ettl, Michael P. Lux, Diana Lüftner, Markus Wallwiener, Lena A. Wurmthaler, Chloë Goossens, Volkmar Müller, Matthias W. Beckmann, Alexander Hein, Daniel Anetsberger, Erik Belleville, Pauline Wimberger, Michael Untch, Arif B. Ekici, Hans-Christian Kolberg, Arndt Hartmann, Florin-Andrei Taran, Tanja N. Fehm, Diethelm Wallwiener, Sara Y. Brucker, Andreas Schneeweiss, Lothar Häberle, Fergus J. Couch
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-7 (2024)
Abstract Germline mutations in BRCA1 and BRCA2 (gBRCA1/2) are required for a PARP inhibitor therapy in patients with HER2-negative (HER2−) advanced breast cancer (aBC). However, little is known about the prognostic impact of gBRCA1/2 mutations in a
Externí odkaz:
https://doaj.org/article/7fc65e7d8ec9445caafcbb4945b9c522
Publikováno v:
CVPR 2023
We show, for the first time, that neural networks trained only on synthetic data achieve state-of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real images. Previous synthetic datasets have been small, unrealistic,
Externí odkaz:
http://arxiv.org/abs/2306.16940
Autor:
Tesch, Kristina, Gerkmann, Timo
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.32, pp. 542-553, 2024
In a multi-channel separation task with multiple speakers, we aim to recover all individual speech signals from the mixture. In contrast to single-channel approaches, which rely on the different spectro-temporal characteristics of the speech signals,
Externí odkaz:
http://arxiv.org/abs/2304.12023
Autor:
Melanie Schubert, Anastasia Tihon, Kristin Andresen, Zino Ruchay, André Farrokh, Nicolai Maass, Philipp Elischer, Ann Carolin Longardt, Karolin Tesch, Annett Lebenatus, Magret Krüger, Ibrahim Alkatout
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-10 (2024)
Abstract Introduction The management of a pregnancy in a bicornuate uterus is particularly challenging. A bicornuate uterus is a rare occurrence and a twin pregnancy in a bicornuate uterus even more rare. These pregnancies call for intensive diagnost
Externí odkaz:
https://doaj.org/article/3907d24bb6ac4398b8b2bda3f7f8b287
Autor:
Tesch, Kristina, Gerkmann, Timo
Publikováno v:
ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing
In a scenario with multiple persons talking simultaneously, the spatial characteristics of the signals are the most distinct feature for extracting the target signal. In this work, we develop a deep joint spatial-spectral non-linear filter that can b
Externí odkaz:
http://arxiv.org/abs/2211.02420
Publikováno v:
Dental Press Journal of Orthodontics, Vol 29, Iss 4 (2024)
ABSTRACT Introduction: Osteoarthritis (OA) is a progressive degenerative disease characterized by the gradual degradation of cartilage, remodeling of subchondral bone, synovitis, and chronic pain. This condition impacts various large and small joints
Externí odkaz:
https://doaj.org/article/fc7173e86b0b45ae87768681e5c6db9f