Zobrazeno 1 - 10
of 799
pro vyhledávání: '"Klauschen Frederick"'
Autor:
Hansmann Martin-Leo, Klauschen Frederick, Samek Wojciech, Müller Klaus-Robert, Donnadieu Emmanuel, Scharf Sonja, Hartmann Sylvia, Koch Ina, Ackermann Jörg, Pantanowitz Liron, Schäfer Hendrik, Wurzel Patrick
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100298- (2023)
In recent years, medical disciplines have moved closer together and rigid borders have been increasingly dissolved. The synergetic advantage of combining multiple disciplines is particularly important for radiology, nuclear medicine, and pathology to
Externí odkaz:
https://doaj.org/article/ac8621038fe94564b564579214dd5f00
Autor:
Sextro, Marvin, Dernbach, Gabriel, Standvoss, Kai, Schallenberg, Simon, Klauschen, Frederick, Müller, Klaus-Robert, Alber, Maximilian, Ruff, Lukas
Understanding how deep learning models predict oncology patient risk can provide critical insights into disease progression, support clinical decision-making, and pave the way for trustworthy and data-driven precision medicine. Building on recent adv
Externí odkaz:
http://arxiv.org/abs/2411.07643
Autor:
Dippel, Jonas, Prenißl, Niklas, Hense, Julius, Liznerski, Philipp, Winterhoff, Tobias, Schallenberg, Simon, Kloft, Marius, Buchstab, Oliver, Horst, David, Alber, Maximilian, Ruff, Lukas, Müller, Klaus-Robert, Klauschen, Frederick
While previous studies have demonstrated the potential of AI to diagnose diseases in imaging data, clinical implementation is still lagging behind. This is partly because AI models require training with large numbers of examples only available for co
Externí odkaz:
http://arxiv.org/abs/2406.14866
Autor:
Hense, Julius, Idaji, Mina Jamshidi, Eberle, Oliver, Schnake, Thomas, Dippel, Jonas, Ciernik, Laure, Buchstab, Oliver, Mock, Andreas, Klauschen, Frederick, Müller, Klaus-Robert
Multiple instance learning (MIL) is an effective and widely used approach for weakly supervised machine learning. In histopathology, MIL models have achieved remarkable success in tasks like tumor detection, biomarker prediction, and outcome prognost
Externí odkaz:
http://arxiv.org/abs/2406.04280
Autor:
Dippel, Jonas, Feulner, Barbara, Winterhoff, Tobias, Milbich, Timo, Tietz, Stephan, Schallenberg, Simon, Dernbach, Gabriel, Kunft, Andreas, Heinke, Simon, Eich, Marie-Lisa, Ribbat-Idel, Julika, Krupar, Rosemarie, Anders, Philipp, Prenißl, Niklas, Jurmeister, Philipp, Horst, David, Ruff, Lukas, Müller, Klaus-Robert, Klauschen, Frederick, Alber, Maximilian
Artificial intelligence has started to transform histopathology impacting clinical diagnostics and biomedical research. However, while many computational pathology approaches have been proposed, most current AI models are limited with respect to gene
Externí odkaz:
http://arxiv.org/abs/2401.04079
Autor:
Aversa, Marco, Nobis, Gabriel, Hägele, Miriam, Standvoss, Kai, Chirica, Mihaela, Murray-Smith, Roderick, Alaa, Ahmed, Ruff, Lukas, Ivanova, Daniela, Samek, Wojciech, Klauschen, Frederick, Sanguinetti, Bruno, Oala, Luis
We present DiffInfinite, a hierarchical diffusion model that generates arbitrarily large histological images while preserving long-range correlation structural information. Our approach first generates synthetic segmentation masks, subsequently used
Externí odkaz:
http://arxiv.org/abs/2306.13384
Autor:
Hägele, Miriam, Eschrich, Johannes, Ruff, Lukas, Alber, Maximilian, Schallenberg, Simon, Guillot, Adrien, Roderburg, Christoph, Tacke, Frank, Klauschen, Frederick
In this paper, we present a deep learning segmentation approach to classify and quantify the two most prevalent primary liver cancers - hepatocellular carcinoma and intrahepatic cholangiocarcinoma - from hematoxylin and eosin (H&E) stained whole slid
Externí odkaz:
http://arxiv.org/abs/2302.01813
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
Autor:
Dernbach, Gabriel, Kazdal, Daniel, Ruff, Lukas, Alber, Maximilian, Romanovsky, Eva, Schallenberg, Simon, Christopoulos, Petros, Weis, Cleo-Aron, Muley, Thomas, Schneider, Marc A., Schirmacher, Peter, Thomas, Michael, Müller, Klaus-Robert, Budczies, Jan, Stenzinger, Albrecht, Klauschen, Frederick
Publikováno v:
In European Journal of Cancer November 2024 211
Autor:
Jurmeister, Philipp, Leitheiser, Maximilian, Arnold, Alexander, Capilla, Emma Payá, Mochmann, Liliana H., Zhdanovic, Yauheniya, Schleich, Konstanze, Jung, Nina, Chimal, Edgar Calderon, Jung, Andreas, Kumbrink, Jörg, Harter, Patrick, Prenißl, Niklas, Elezkurtaj, Sefer, Brcic, Luka, Deigendesch, Nikolaus, Frank, Stephan, Hench, Jürgen, Försch, Sebastian, Breimer, Gerben, van Engen van Grunsven, Ilse, Lassche, Gerben, van Herpen, Carla, Zhou, Fang, Snuderl, Matija, Agaimy, Abbas, Müller, Klaus-Robert, von Deimling, Andreas, Capper, David, Klauschen, Frederick, Ihrler, Stephan
Publikováno v:
In Modern Pathology December 2024 37(12)