Publications

Annika Reinke, Minu D Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A Emre Kavur, Tim Rädsch, Carole H Sudre, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A Hashimoto, Michael M Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L Martel, Erik Meijering, Bjoern Menze, Karel G M Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M Rafelski, Nasir Rajpoot, Mauricio Reyes, Michael A Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I Sánchez, Shravya Shetty, Ronald M Summers, Abdel A Taha, Aleksei Tiulpin, Sotirios A Tsaftaris, Ben Van Calster, Gaël Varoquaux, Ziv R Yaniv, Paul F Jäger, and Lena Maier-Hein. Understanding metric-related pitfalls in image analysis validation. Nat. Methods, (21)2:182--194, Springer Science and Business Media LLC, February 2024. [PUMA: analysis image pitfalls validation zno]

Jules Scholler, Joel Jonsson, Tomás Jordá-Siquier, Ivana Gantar, Laura Batti, Bevan L Cheeseman, Stéphane Pagès, Ivo F Sbalzarini, and Christophe M Lamy. Efficient image analysis for large-scale next generation histopathology using pAPRica. bioRxiv, January 2023. [PUMA: Efficient analysis generation histopathology image large-scale {pAPRica} yaff]

Didem Cifci, Sebastian Foersch, and Jakob Nikolas Kather. Artificial intelligence to identify genetic alterations in conventional histopathology. J. Pathol., (257)4:430--444, Wiley, July 2022. [PUMA: artificial image oncology precision topic_lifescience zno intelligence biomarker analysis]

Akshay Akshay, Mitali Katoch, Masoud Abedi, Navid Shekarchizadeh, Mustafa Besic, Fiona C Burkhard, Alex Bigger-Allen, Rosalyn M Adam, Katia Monastyrskaya, and Ali Hashemi Gheinani. SpheroScan: a user-friendly deep learning tool for spheroid image analysis. Gigascience, (12)Oxford University Press (OUP), December 2022. [PUMA: 3D Image Mask R-CNN analysis deep high-throughput image learning screening segmentation spheroids topic_federatedlearn xack yaff]