Sfoglia per Autore
An FTIR-based model for the diagenetic alteration of archaeological bones
2024 Scaggion, C.; Dal Sasso, G.; Nodari, L.; Pagani, L.; Carrara, N.; Zotti, A.; Banzato, T.; Usai, D.; Pasqualetto, L.; Gadioli, G.; Artioli, G.
Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models.
2023 Celniac, W.; Wodzinsky, M.; Jurgas, A.; Burti, S.; Zotti, A.; Atzori, M.; Muller, H.; Banzato, T.
Development of an artificial intelligence-based method for the diagnosis of the severity of myxomatous mitral valve disease from canine chest radiographs.
2023 Valente, C.; Wodzinski, M.; Guglielmini, C.; Poser, H.; Chiavegato, D.; Zotti, A.; Venturini, R.; Banzato, T.
Contrast-enhanced ultrasound features of adrenal lesions in dogs
2023 Burti, S.; Zotti, A.; Rubini, G.; Orlandi, R.; Bargellini, P.; Contiero, B.; Bendazzoli, M.; Banzato, T.; Bonsembiante, F.
An AI-based algorithm for the automatic evaluation of image quality in canine thoracic radiographs
2023 Banzato, Tommaso; Wodzinski, Marek; Burti, Silvia; Vettore, Eleonora; Muller, Henning; Zotti, Alessandro
Contrast-enhanced ultrasound features of focal pancreatic lesions in dogs
2022 Burti, Silvia; Zotti, Alessandro; Rubini, Giuseppe; Orlandi, Riccardo; Bargellini, Paolo; Bonsembiante, Federico; Contiero, Barbara; Banzato, Tommaso
A machine learning based-approach for classification of focal splenic lesions based on their CT features
2022 Burti, Silvia; Zotti, Alessandro; Bonsembiante, Federico; Contiero, Barbara; Banzato, Tommaso
Preparing healthcare, academic institutions, and notified bodies for their involvement in the innovation of medical devices under the new European regulation
2022 Garzotto, Francesco; Comoretto, Rosanna Irene; Dorigo, Lorenzo; Gregori, Dario; Zotti, Alessandro; Meneghesso, Gaudenzio; Gerosa, Gino; Bonin, Mauro
Contrast-enhanced ultrasound features of focal pancreatic lesions in cats
2022 Burti, Silvia; Zotti, Alessandro; Rubini, Giuseppe; Orlandi, Riccardo; Bargellini, Paolo; Bonsembiante, Federico; Contiero, Barbara; Marcuzzi, Mabel; Banzato, Tommaso
Are Small Animal Practitioners Occupationally Exposed to Leptospirosis? Results of a Serological Survey
2022 Mazzotta, E.; Lucchese, L.; Salata, C.; Furlanello, T.; Baroni, E.; Zotti, A.; Venturi, G.; Fincato, A.; Marchione, S.; Capello, K.; Natale, A.
Computed tomography features for differentiating malignant and benign focal liver lesions in dogs: a meta-analysis
2021 Burti, S; Zotti, A; Contiero, B; Banzato, T
An AI-Based Algorithm for the Automatic Classification of Thoracic Radiographs in Cats
2021 Banzato, T.; Wodzinsky, M.; Tauceri, F.; Dona, C.; Scavazza, F.; Muller, H.; Zotti, Alessandro
Automatic classification of canine thoracic radiographs using deep learning.
2021 Banzato, Tommaso; Wodzinski, Marek; Burti, Silvia; LONGHIN OSTI, Valentina; Rossoni, Valentina; Atzori, Manfredo; Zotti, Alessandro
Isolation of Mycoplasma iowae in turkey flocks with skeletal abnormalities: a retrospective study
2021 Bottinelli, Marco; Stefani, Elisabetta; Matucci, Andrea; Dal Prà, Mauro; Capello, Katia; Zotti, Alessandro; Catania, Salvatore
What is your diagnosis?
2021 Longo, Federico; Zotti, Alessandro
Diagnostic accuracy of delayed phase post contrast computed tomographic images in the diagnosis of focal liver lesions in dogs: 69 cases.
2021 Burti, Silvia; Zotti, Alessandro; Bonsembiante, Federico; Contiero, Barbara; Banzato, Tommaso
Corrigendum: Diagnostic Accuracy of Delayed Phase Post Contrast Computed Tomographic Images in the Diagnosis of Focal Liver Lesions in Dogs: 69 Cases (Front. Vet. Sci, (2021), 8, (611556), 10.3389/fvets.2021.611556)
2021 Burti, S.; Zotti, A.; Bonsembiante, F.; Contiero, B.; Banzato, T.
Impact of the SARS-CoV-2 on the Italian agri-food sector: An analysis of the quarter of pandemic lockdown and clues for a socio-economic and territorial restart
2020 Barcaccia, G.; D'Agostino, V.; Zotti, A.; Cozzi, B.
Contrast-enhanced ultrasound features of malignant focal liver masses in dogs
2020 Burti, S.; Zotti, A.; Rubini, G.; Orlandi, R.; Bargellini, P.; Bonsembiante, F.; Banzato, T.
Use of deep learning to detect cardiomegaly on thoracic radiographs in dogs.
2020 Burti, Silvia.; LONGHIN OSTI, Valentina; Zotti, Alessandro; Banzato, Tommaso
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