Zobrazeno 1 - 10
of 2 903
pro vyhledávání: '"Stroebel A"'
Autor:
Danielle West, BS, Alyssa M. Roberts, BS, Benjamin Stroebel, MPH, Katrina Abuabara, MD, MA, MSCE
Publikováno v:
JAAD International, Vol 18, Iss , Pp 151-153 (2025)
Externí odkaz:
https://doaj.org/article/4073d15a7fe74fc88b40a51b73115b01
Autor:
Elena Flowers, Benjamin Stroebel, Xingyue Gong, Kimberly A. Lewis, Bradley E. Aouizerat, Meghana Gadgil, Alka M. Kanaya, Li Zhang
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/ae1120b4561a4887ba2b9eea139139cd
Autor:
Elena Flowers, Benjamin Stroebel, Xingyue Gong, Kimberly A. Lewis, Bradley E. Aouizerat, Meghana Gadgil, Alka M. Kanaya, Li Zhang
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
ObjectiveCirculating microRNAs show cross-sectional associations with overweight and obesity. Few studies provided data to differentiate between a snapshot perspective on these associations versus how microRNAs characterize prodromal risk from diseas
Externí odkaz:
https://doaj.org/article/0c316cf98f684a5787b4fe4c989f5eb5
Autor:
Lisa Knoll, Jacob Hamm, Philipp Stroebel, Todorovic Jovan, Robert Goetze, Shiv Singh, Elisabeth Hessmann, Volker Ellenrieder, Christoph Ammer-Herrmenau, Albrecht Neesse
Publikováno v:
Neoplasia: An International Journal for Oncology Research, Vol 53, Iss , Pp 101002- (2024)
Background: Pancreatic ductal adenocarcinoma (PDAC) poorly responds to antineoplastic agents. Discrepancies between preclinical success and clinical failure of compounds has been a continuous challenge and major obstacle in PDAC research. Aim: To inv
Externí odkaz:
https://doaj.org/article/8b727644519844318e28a28330fb7aa9
Current approaches for classification of whole slide images (WSI) in digital pathology predominantly utilize a two-stage learning pipeline. The first stage identifies areas of interest (e.g. tumor tissue), while the second stage processes cropped til
Externí odkaz:
http://arxiv.org/abs/2207.00095
Publikováno v:
In Heart, Lung and Circulation December 2024 33(12):1627-1637
Autor:
Bleyer, Martina, Radespiel, Ute, Klein, Annette, Kollikowski, Annika, Ströbel, Philipp, Mätz-Rensing, Kerstin, Gruber-Dujardin, Eva
Publikováno v:
In Journal of Comparative Pathology November 2024 215:47-54
Autor:
Menzel, Michael, Martis-Thiele, Mihaela, Goldschmid, Hannah, Ott, Alexander, Romanovsky, Eva, Siemanowski-Hrach, Janna, Seillier, Lancelot, Brüchle, Nadina Ortiz, Maurer, Angela, Lehmann, Kjong-Van, Begemann, Matthias, Elbracht, Miriam, Meyer, Robert, Dintner, Sebastian, Claus, Rainer, Meier-Kolthoff, Jan P., Blanc, Eric, Möbs, Markus, Joosten, Maria, Benary, Manuela, Basitta, Patrick, Hölscher, Florian, Tischler, Verena, Groß, Thomas, Kutz, Oliver, Prause, Rebecca, William, Doreen, Horny, Kai, Goering, Wolfgang, Sivalingam, Sugirthan, Borkhardt, Arndt, Blank, Cornelia, Junk, Stefanie V., Yasin, Layal, Moskalev, Evgeny A., Carta, Maria Giulia, Ferrazzi, Fulvia, Tögel, Lars, Wolter, Steffen, Adam, Eugen, Matysiak, Uta, Rosenthal, Tessa, Dönitz, Jürgen, Lehmann, Ulrich, Schmidt, Gunnar, Bartels, Stephan, Hofmann, Winfried, Hirsch, Steffen, Dikow, Nicola, Göbel, Kirsten, Banan, Rouzbeh, Hamelmann, Stefan, Fink, Annette, Ball, Markus, Neumann, Olaf, Rehker, Jan, Kloth, Michael, Murtagh, Justin, Hartmann, Nils, Jurmeister, Phillip, Mock, Andreas, Kumbrink, Jörg, Jung, Andreas, Mayr, Eva-Maria, Jacob, Anne, Trautmann, Marcel, Kirmse, Santina, Falkenberg, Kim, Ruckert, Christian, Hirsch, Daniela, Immel, Alexander, Dietmaier, Wolfgang, Haack, Tobias, Marienfeld, Ralf, Fürstberger, Axel, Niewöhner, Jakob, Gerstenmaier, Uwe, Eberhardt, Timo, Greif, Philipp A., Appenzeller, Silke, Maurus, Katja, Doll, Julia, Jelting, Yvonne, Jonigk, Danny, Märkl, Bruno, Beule, Dieter, Horst, David, Wulf, Anna-Lena, Aust, Daniela, Werner, Martin, Reuter-Jessen, Kirsten, Ströbel, Philipp, Auber, Bernd, Sahm, Felix, Merkelbach-Bruse, Sabine, Siebolts, Udo, Roth, Wilfried, Lassmann, Silke, Klauschen, Frederick, Gaisa, Nadine T., Weichert, Wilko, Evert, Matthias, Armeanu-Ebinger, Sorin, Ossowski, Stephan, Schroeder, Christopher, Schaaf, Christian P., Malek, Nisar, Schirmacher, Peter, Kazdal, Daniel, Pfarr, Nicole, Budczies, Jan, Stenzinger, Albrecht
Publikováno v:
In European Journal of Cancer November 2024 211
We apply the TrOCR framework to real-world, historical manuscripts and show that TrOCR per se is a strong model, ideal for transfer learning. TrOCR has been trained on English only, but it can adapt to other languages that use the Latin alphabet fair
Externí odkaz:
http://arxiv.org/abs/2203.11008
Autor:
Ströbel, Phillip Benjamin, Clematide, Simon, Volk, Martin, Schwitter, Raphael, Hodel, Tobias, Schoch, David
The evaluation of Handwritten Text Recognition (HTR) models during their development is straightforward: because HTR is a supervised problem, the usual data split into training, validation, and test data sets allows the evaluation of models in terms
Externí odkaz:
http://arxiv.org/abs/2201.06170