Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. - John-Melle Bokhorst; Iris D. Nagtegaal; Filippo Fraggetta; Simona Vatrano; Wilma Mesker; Michael Vieth; Jeroen van der Laak; Francesco Ciompi (CoRR, 2021)

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. - Niccolò Marini; Stefano Marchesin 001; Sebastian Otálora; Marek Wodzinski; Alessandro Caputo; Mart van Rijthoven; Witali Aswolinskiy; John-Melle Bokhorst; Damian Podareanu; Edyta Petters; Svetla Boytcheva; Genziana Buttafuoco; et al. (npj Digit. Medicine, 2022)

Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images. - Nohemí Sofia León Contreras; Clément Grisi; Witali Aswolinskiy; Simona Vatrano; Filippo Fraggetta; Iris Nagtegaal; Marina D'Amato; Francesco Ciompi (ISBI, 2024)

Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. - Niccolò Marini; Stefano Marchesin 001; Lluis Borras Ferris; Simon Püttmann; Marek Wodzinski; Riccardo Fratti; Damian Podareanu; Alessandro Caputo; Svetla Boytcheva; Simona Vatrano; Filippo Fraggetta; Iris Nagtegaal; et al. (CoRR, 2024)

Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning. - Niccolò Marini; Stefano Marchesin 001; Marek Wodzinski; Alessandro Caputo; Damian Podareanu; Bryan Cardenas Guevara; Svetla Boytcheva; Simona Vatrano; Filippo Fraggetta; Francesco Ciompi; Gianmaria Silvello; Henning Müller; et al. (Medical Image Anal., 2024)