Publications

Joel Jonsson, Bevan Leslie Cheeseman, and Ivo Sbalzarini. APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microscopy Images. Transactions on Machine Learning Research, 2025. [PUMA: convolutional images microscopy networks neural yaff] URL

Sander Münster, Christoph Lehmann, Taras Lazariv, Ferdinand Maiwald, and Susanne Karsten. Toward an Automated Pipeline for a Browser-Based, City-Scale Mobile 4D VR Application Based on Historical Images. In Florian Niebling, Sander Münster, and Heike Messemer (Eds.), Research and Education in Urban History in the Age of Digital Libraries, 106--128, Springer International Publishing, Cham, 2021. [PUMA: 4D Application Browser-Based City-Scale Historical Images Mobile Pipeline VR nopdf automated]

David Nam, Julius Chapiro, Valerie Paradis, Tobias Paul Seraphin, and 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]