Publications

Johannes Kiesel, Florian Kneist, Lars Meyer, Kristof Komlossy, Benno Stein, und Martin Potthast. Web Page Segmentation Revisited: Evaluation Framework and Dataset. In Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, und Philippe Cudré-Mauroux (Hrsg.), 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3047--3054, ACM, Oktober 2020. [PUMA: Dataset Evaluation Framework Page Revisited Segmentation zno web]

Anahy Santiago Arguello, Guillaume E. Scholz, und Peter F. Stadler. Core Potentials: The Consensus Segmentation Conjecture. Mathematics in Computer Science, (18)4Springer Science and Business Media LLC, Oktober 2024. [PUMA: Conjecture Consensus Core Potentials Segmentation zno] URL

Johannes Roth, Johannes Keller, Stefan Franke, Thomas Neumuth, und Daniel Schneider. Multi-plane UNet++ Ensemble for Glioblastoma Segmentation. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 285–294, Springer International Publishing, 2022. [PUMA: Ensemble Glioblastoma Multi-plane Segmentation UNet++ xack] URL

Lorenzo Maiello, Lorenzo Ball, Marco Micali, Francesca Iannuzzi, Nico Scherf, Ralf-Thorsten Hoffmann, Marcelo Gama de Abreu, Paolo Pelosi, und Robert Huhle. Automatic lung segmentation and quantification of aeration in computed tomography of the chest using 3D transfer learning. Front. Physiol., (12):725865, 2021. [PUMA: ARDS COVID-19 Jaccard deep index learning lung recruitment segmentation transfer uNet zno]

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