ROSSI, MATTEO

ROSSI, MATTEO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A new system for in-room image guidance in particle therapy at CNAO 1-gen-2023 Belotti, GabrieleRossi, MatteoPella, AndreaCerveri, PietroBaroni, Guido
CEL-Unet: a novel CNN architecture for 3D Segmentation of Knee Bones affected by Severe Osteoarthritis for PSI-Based Surgical Planning 1-gen-2022 Marsilio, LucaRossi, MatteoMainardi, LucaCerveri, Pietro +
CEL-Unet: Distance Weighted Maps and Multi-Scale Pyramidal Edge Extraction for Accurate Osteoarthritic Bone Segmentation in CT Scans 1-gen-2022 Rossi, MatteoMarsilio, LucaMainardi, LucaCerveri, Pietro +
Combined Edge Loss UNet for Optimized Segmentation in Total Knee Arthroplasty Preoperative Planning 1-gen-2023 Marsilio, LucaMoglia, AndreaRossi, MatteoMainardi, LucaCerveri, Pietro +
Comparison of supervised and unsupervised approaches for the generation of synthetic ct from cone-beam ct 1-gen-2021 Rossi M.Cerveri P.
Convolutional neural networks cascade for automatic pupil and iris detection in ocular proton therapy 1-gen-2021 Pella A.Ricotti R.Rossi M.Belotti G.Magro G.Paganelli C.Baroni G. +
Dosimetric effect of variable rectum and sigmoid colon filling during carbon ion radiotherapy to sacral chordoma 1-gen-2021 Ricotti R.Pella A.Mirandola A.Paganelli C.Belotti G.Rossi M.Baroni G. +
Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks 1-gen-2022 Rossi, MatteoAlessandrelli, GiuliaMainardi, LucaCerveri, Pietro +
Image-based shading correction for narrow-FOV truncated pelvic CBCT with deep convolutional neural networks and transfer learning 1-gen-2021 Rossi M.Belotti G.Paganelli C.Pella A.Cerveri P.Baroni G. +
Mixed Reality and Artificial Intelligence: a Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy 1-gen-2024 Andrea MogliaLuca MarsilioMatteo RossiMaria PinelliEmanuele LettieriLuca MainardiPietro Cerveri +
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography 1-gen-2023 Rossi, MatteoBovio, DarioSalito, CaterinaAlessandrelli, GiuliaMainardi, LucaCerveri, Pietro +