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.
Canine fetal kidney parameters to monitor fetal development during the last 10 days of pregnancy.
2023 Siena, G.; Di Nardo, F.; Romagnoli, S.; Contiero, B.; Banzato, T.; Mollo, A.; Milani, C.
Preliminary Evaluation of Cortical and Medullary Echogenicity in Normal Canine Fetal Kidneys during the Last 10 Days of Pregnancy
2023 Siena, Giulia; di Nardo, Francesca; Contiero, Barbara; Banzato, Tommaso; Milani, Chiara
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
Clinical effects of the GnRH stimulation test on testicles and prostate of adult male dogs.
2022 Cavinato, Lucrezia; Siena, Giulia; Schrank, Magdalena; Zucchini, Paolo; Banzato, Tommaso; Mollo, Antonio; Romagnoli, Stefano
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
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
Undifferentiated laryngeal carcinoma with hyaline bodies in a cat
2021 Torrigiani, F.; Gelain, M. E.; Cavicchioli, L.; Di Maggio, R.; Banzato, T.; Bonsembiante, F.
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
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.
Progesterone-responsive vaginal leiomyoma and hyperprogesteronemia due to ovarian luteoma in an older bitch
2020 Ferre-Dolcet, L.; Romagnoli, S.; Banzato, T.; Cavicchioli, L.; Di Maggio, R.; Cattai, A.; Berlanda, M.; Schrank, M.; Mollo, A.
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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