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Biomedical Engineering Online|June 22, 2018
Multi-tissue and multi-scale approach for nuclei segmentation in H&E stained imagesMassimo Salvi, Filippo MolinariComputer Methods and Programs in Biomedicine|May 1, 2020
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathologyMassimo Salvi, Nicola Michielli, Filippo MolinariComputer Methods and Programs in Biomedicine|June 17, 2026
An integrated calibration-uncertainty framework for improving the reliability of deep learning models for seizure detection in EEG signalsSilvia Seoni, Filippo Molinari, Margherita Benevieri, et al.Computers in Biology and Medicine|May 19, 2019
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinomaMassimo Salvi, Filippo Molinari, Natalia Dogliani, et al.Computer Methods and Programs in Biomedicine|January 31, 2025
Semantic-driven synthesis of histological images with controllable cellular distributionsAlen Shahini, Alessandro Gambella, Filippo Molinari, et al.Journal of Neuroscience Methods|July 9, 2019
Automated segmentation of brain cells for clonal analyses in fluorescence microscopy imagesMassimo Salvi, Valentina Cerrato, Annalisa Buffo, et al.Computers in Biology and Medicine|November 30, 2020
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysisMassimo Salvi, U Rajendra Acharya, Filippo Molinari, et al.Journal of Biomedical Optics|March 8, 2017
Effect of low-level light therapy on diabetic foot ulcers: a near-infrared spectroscopy studyMassimo Salvi, Daniele Rimini, Filippo Molinari, et al.Medical Engineering & Physics|July 23, 2025
A cascade approach for the early detection and localization of myocardial infarction in 2D-echocardiographyCarolina Gomez, Annalisa Letizia, Vincenza Tufano, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 26, 2023
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemaseMassimo Salvi, Claudia Manini, Jose I López, et al.Pageof 6