Distributed optimization of multi-class SVMs von Alber, Maximilian, Zimmert, Julian, Dogan, Urun, Kloft, Marius

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Leveraging weak complementary labels enhances semantic segmentation of hepatocellular carcinoma and intrahepatic cholangiocarcinoma von Hägele, Miriam, Eschrich, Johannes, Ruff, Lukas, Alber, Maximilian, Schallenberg, Simon, Guillot, Adrien, Roderburg, Christoph, Tacke, Frank, Klauschen, Frederick

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1276 Leveraging artificial intelligence (AI) models delineating tumor vs immune cell expression for scalable biomarker analysis of clinical trial samples: a digital image analysis... von Böhm, Cornelius, Lingelbach, Katja, Pablos, Blanca, Heinke, Simon, Schallenberg, Simon, Krupar, Rosemarie, Aldoj, Nader, Pandhe, Suhas, Pizzagalli, Luca, Gottschalk, Maximilian, Wójtowicz, Bartosz, Tietz, Stephan, Rudolph, Marion, Ishii, Yuko, Ruff, Lukas, Ruane, Sharon, Alber, Maximilian, Schaer, David, Tomaso, Emmanuelle di, Pelekanou, Vasiliki

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Software and Application Patterns for Explanation Methods von Alber, Maximilian

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1283 A novel, scalable deep learning-based approach to automated quality control of multiplex immunofluorescence images von Fink, Annika F, Schulte-Sasse, Roman, Bauw, Martin, Agrawal, Deepti, Perez, Beatriz, Sadeq, Mariam, Grote, Hans Juergen, Ohata, Yae, Ruff, Lukas, Alber, Maximilian, Ruane, Sharon, Mrowiec, Thomas

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Deep Learning Assisted Diagnosis of Onychomycosis on Whole-Slide Images von Jansen, Philipp, Creosteanu, Adelaida, Matyas, Viktor, Dilling, Amrei, Pina, Ana, Saggini, Andrea, Schimming, Tobias, Landsberg, Jennifer, Burgdorf, Birte, Giaquinta, Sylvia, Müller, Hansgeorg, Emberger, Michael, Rose, Christian, Schmitz, Lutz, Geraud, Cyrill, Schadendorf, Dirk, Schaller, Jörg, Alber, Maximilian, Klauschen, Frederick, Griewank, Klaus G.

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970 Multiplex-immunofluorescence-based spatial characterization of the tumor-microenvironment of a large bicentric clinical non-small cell lung cancer cohort von Schallenberg, Simon, Dernbach, Gabriel, Ruane, Sharon, Böhm, Cornelius, Ruff, Lukas, Standvoss, Kai, Ghosh, Sandip, Dragomir, Mihnea P, Fritz, Rebecca, Koch, Ines, Friedrich, Corinna, Merkelbach-Bruse, Sabine, Quaas, Alexander, Frost, Nikolaj, Boschung, Kyrill, Randerath, Winfried, Schlachtenberger, Georg, Heldwein, Matthias, Keilholz, Ulrich, Hekmat, Khosro, Rückert, Jens-Carsten, Büttner, Reinhard, Vasaturo, Angela, Horst, David, Alber, Maximilian, Klauschen, Frederick

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The (Un)reliability of Saliency Methods von Kindermans, Pieter-Jan, Hooker, Sara, Adebayo, Julius, Alber, Maximilian, Schütt, Kristof T., Dähne, Sven, Erhan, Dumitru, Kim, Been

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Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling von Stenzinger, Albrecht, Alber, Maximilian, Allgäuer, Michael, Jurmeister, Philipp, Bockmayr, Michael, Budczies, Jan, Lennerz, Jochen, Eschrich, Johannes, Kazdal, Daniel, Schirmacher, Peter, Wagner, Alex H., Tacke, Frank, Capper, David, Müller, Klaus-Robert, Klauschen, Frederick

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Toward Explainable Artificial Intelligence for Precision Pathology von Klauschen, Frederick, Dippel, Jonas, Keyl, Philipp, Jurmeister, Philipp, Bockmayr, Michael, Mock, Andreas, Buchstab, Oliver, Alber, Maximilian, Ruff, Lukas, Montavon, Grégoire, Müller, Klaus-Robert

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Dissecting AI-based mutation prediction in lung adenocarcinoma: A comprehensive real-world study von 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

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Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images von Seegerer, Philipp, Binder, Alexander, Saitenmacher, René, Bockmayr, Michael, Alber, Maximilian, Jurmeister, Philipp, Klauschen, Frederick, Müller, Klaus-Robert

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Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights von Schweizer, Leonille, Seegerer, Philipp, Kim, Hee‐yeong, Saitenmacher, René, Muench, Amos, Barnick, Liane, Osterloh, Anja, Dittmayer, Carsten, Jödicke, Ruben, Pehl, Debora, Reinhardt, Annekathrin, Ruprecht, Klemens, Stenzel, Werner, Wefers, Annika K., Harter, Patrick N., Schüller, Ulrich, Heppner, Frank L., Alber, Maximilian, Müller, Klaus‐Robert, Klauschen, Frederick

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Explainable artificial intelligence in pathology von Klauschen, Frederick, Dippel, Jonas, Keyl, Philipp, Jurmeister, Philipp, Bockmayr, Michael, Mock, Andreas, Buchstab, Oliver, Alber, Maximilian, Ruff, Lukas, Montavon, Grégoire, Müller, Klaus-Robert

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Abstract 5441: Cell cycle arrest status predicted from H&E stained images using deep learning von Aigner, Christina, Reichholf, Brian, Emschwiller, Maxime, Pezer, Marija, Winterhoff, Tobias, Schallenberg, Simon, Krupar, Rosemarie, Ruff, Lukas, Ruane, Sharon, Alber, Maximilian, Klauschen, Frederick, Trapani, Francesca

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Abstract 5423: AI powered quantification of mitotic rate in H&E stained tissue detects significant differences between treatment groups of preclinical pancreas cancer xenografts von Ruane, Sharon, Ruff, Lukas, Reichholf, Brian, Aigner, Christina, Barbuta, Emil, Tietz, Stephan, Atanaszov, Olivér, Krupar, Rosemarie, Schallenberg, Simon, Alber, Maximilian, Trapani, Francesca, Klauschen, Frederick

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Clarifying Assumptions About Artificial Intelligence Before Revolutionising Patent Law von Kim, Daria, Alber, Maximilian, Kwok, Man Wai, MitroviĆ, Jelena, Ramirez-Atencia, Cristian, PÉrez, JesÚs Alberto RodrÍguez, Zille, Heiner

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Abstract 457: Immunohistochemistry-informed AI systems for improved characterization of tumor-microenvironment in clinical non-small cell lung cancer H&E samples von Mrowiec, Thomas, Ruane, Sharon, Schallenberg, Simon, Dernbach, Gabriel, Todorova, Rumyana, Böhm, Cornelius, de Back, Walter, Pablos, Blanca, Schulte-Sasse, Roman, Trajanovska, Ivana, Creosteanu, Adelaida, Barbuta, Emil, Otte, Marcus, Ihling, Christian, Grote, Hans Juergen, Scheuenpflug, Juergen, Matyas, Viktor, Alber, Maximilian, Klauschen, Frederick

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Software and application patterns for explanation methods von Alber, Maximilian

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Erklärbare Künstliche Intelligenz in der Pathologie von Klauschen, Frederick, Dippel, Jonas, Keyl, Philipp, Jurmeister, Philipp, Bockmayr, Michael, Mock, Andreas, Buchstab, Oliver, Alber, Maximilian, Ruff, Lukas, Montavon, Grégoire, Müller, Klaus-Robert

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