Publications

Rita Sarkis, Olivier Burri, Claire Royer-Chardon, Frédérica Schyrr, Sophie Blum, Mariangela Costanza, Stephane Cherix, Nathalie Piazzon, Carmen Barcena, Bettina Bisig, Valentina Nardi, Rossella Sarro, Giovanna Ambrosini, Martin Weigert, Olivier Spertini, Sabine Blum, Bart Deplancke, Arne Seitz, Laurence de Leval, und Olaia Naveiras. MarrowQuant 2.0: a digital pathology workflow assisting bone marrow evaluation in experimental and clinical hematology. Modern Pathology, 100088, 2023. [PUMA: adiposity, bone cellularity, digital hematopathology, marrow open-source, pathology, stroma,] URL

Martin Potthast, Paolo Rosso, Efstathios Stamatatos, und Benno Stein. A Decade of Shared Tasks in Digital Text Forensics at PAN. In Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, und Djoerd Hiemstra (Hrsg.), Advances in Information Retrieval. 41st European Conference on IR Research (ECIR 2019), (11438):291--300, Springer, Berlin Heidelberg New York, April 2019. [PUMA: Decade Digital Forensics PAN Shared Tasks Text zno]

Anna Niarakis, Reinhard Laubenbacher, Gary An, Yaron Ilan, Jasmin Fisher, Åsmund Flobak, Kristin Reiche, María Rodríguez Martínez, Liesbet Geris, Luiz Ladeira, Lorenzo Veschini, Michael L. Blinov, Francesco Messina, Luis L. Fonseca, Sandra Ferreira, Arnau Montagud, Vincent Noël, Malvina Marku, Eirini Tsirvouli, Marcella M. Torres, Leonard A. Harris, T. J. Sego, Chase Cockrell, Amanda E. Shick, Hasan Balci, Albin Salazar, Kinza Rian, Ahmed Abdelmonem Hemedan, Marina Esteban-Medina, Bernard Staumont, Esteban Hernandez-Vargas, Shiny Martis B, Alejandro Madrid-Valiente, Panagiotis Karampelesis, Luis Sordo Vieira, Pradyumna Harlapur, Alexander Kulesza, Niloofar Nikaein, Winston Garira, Rahuman S. Malik Sheriff, Juilee Thakar, Van Du T. Tran, Jose Carbonell-Caballero, Soroush Safaei, Alfonso Valencia, Andrei Zinovyev, und James A. Glazier. Immune digital twins for complex human pathologies: applications, limitations, and challenges. npj Systems Biology and Applications, (10)1Springer Science and Business Media LLC, November 2024. [PUMA: Immune challenges digital human limitations pathologies twins yaff] URL

Nora Grieb, Lukas Schmierer, Hyeon Ung Kim, Sarah Strobel, Christian Schulz, Tim Meschke, Anne Sophie Kubasch, Annamaria Brioli, Uwe Platzbecker, Thomas Neumuth, Maximilian Merz, und Alexander Oeser. A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Frontiers in Digital Health, (5)Frontiers Media SA, Dezember 2023. [PUMA: clinical decision digital evidence-based multiple myeloma support treatment twin zno] URL

Markus Bauer, Lennart Schneider, Marit Bernhardt, Christoph Augenstein, Glen Kristiansen, und Bogdan Franczyk. An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 729-738, SciTePress, 2024. [PUMA: AI Cancer Digital Histopatholog Open-Source Prostate nopdf]

David Nam, Julius Chapiro, Valerie Paradis, Tobias Paul Seraphin, und Jakob Nikolas Kather. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: AI CNN Communications DICOM Diagnosis Digital HCC Imaging Individual ML MVI Medicine NAFLD NASH Prognosis Reporting TACE TRIPOD Transparent WSIs a and artificial carcinoma chemoembolisation convolutional data deep diagnostic disease fatty for hepatocellular images imaging in integration intelligence invasion learning liver machine microvascular model multimodal multivariable network neural non-alcoholic of or prediction slide steatohepatitis support system topic_lifescience transarterial whole zno]

Céline N Heinz, Amelie Echle, Sebastian Foersch, Andrey Bychkov, und Jakob Nikolas Kather. The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups. Histopathology, (80)7:1121--1127, Wiley, Juni 2022. [PUMA: artificial digital intelligence pathology survey topic_lifescience zno]

Scarlet Brockmoeller, Amelie Echle, Narmin Ghaffari Laleh, Susanne Eiholm, Marie Louise Malmstrøm, Tine Plato Kuhlmann, Katarina Levic, Heike Irmgard Grabsch, Nicholas P West, Oliver Lester Saldanha, Katerina Kouvidi, Aurora Bono, Lara R Heij, Titus J Brinker, Ismayil Gögenür, Philip Quirke, und Jakob Nikolas Kather. Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer. J. Pathol., (256)3:269--281, Wiley, März 2022. [PUMA: AI; LNM adipose and artificial bowel colorectal deep digital early inflamed metastasis; new pT1 pT2 prediction predictive tissue; topic_lifescience zno learning intelligence pathology biomarker cancer]

Peter Leonard Schrammen, Narmin Ghaffari Laleh, Amelie Echle, Daniel Truhn, Volkmar Schulz, Titus J Brinker, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Alexander Brobeil, Matthias Kloor, Lara R Heij, Dirk Jäger, Christian Trautwein, Heike I Grabsch, Philip Quirke, Nicholas P West, Michael Hoffmeister, und Jakob Nikolas Kather. Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. J. Pathol., (256)1:50--60, Wiley, Januar 2022. [PUMA: Lynch artificial colorectal computational deep digital instability microsatellite syndrome; topic_lifescience zno learning intelligence pathology cancer]