Sfoglia per Autore
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
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
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.
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
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
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
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 hepatocellular carcinoma in dogs
2020 Banzato, T.; Rubini, G.; Orlandi, R.; Bargellini, P.; Bonsembiante, F.; Zotti, A.
Contrast-enhanced ultrasonography features of hepatobiliary neoplasms in cats.
2020 Banzato, T.; Burti, Silvia; Rubini, G.; Orlandi, R.; Bargellini, P.; Bonsembiante, F.; Zotti, A
Correlation between renal histopathology and renal ultrasound in dogs.
2020 Burti, Silvia; Zotti, A.; Bonsembiante, F.; Mastellaro, G.; Banzato, T.
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading
2020 Wodzinski, M.; Banzato, T.; Atzori, M.; Andrearczyk, V.; Cid, Y. D.; Muller, H.
Use of deep learning to detect cardiomegaly on thoracic radiographs in dogs.
2020 Burti, Silvia.; LONGHIN OSTI, Valentina; Zotti, Alessandro; Banzato, Tommaso
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.
Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: a preliminary study
2019 Banzato, Tommaso; Causin, Francesco; Della Puppa, Alessandro; Cester, Giacomo; Mazzai, Linda; Zotti, Alessandro
A Frailty Index based on clinical data to quantify mortality risk in dogs
2019 Banzato, T.; Franzo, G.; Di Maggio, R.; Nicoletto, E.; Burti, S.; Cesari, M.; Canevelli, M.
Use of transfer learning to detect diffuse degenerative hepatic disease from ultrasound images in dogs: a methodological study
2018 Banzato, Tommaso; Bonsembiante, Federico; Aresu, Luca; Gelain, MARIA ELENA; Burti, Silvia; Zotti, Alessandro
A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images
2018 Banzato, Tommaso; Bernardini, Marco; Bruto Cherubini, Giunio; Zotti, Alessandro
Automated computation of femoral angles in dogs from three-dimensional computed tomography reconstructions: Comparison with manual techniques
2018 Longo, F.; Nicetto, T.; Banzato, T.; Savio, G.; Drigo, M.; Meneghello, R.; Concheri, G.; Isola, M.
Development of a deep convolutional neural network to predict grading of canine meningiomas from magnetic resonance images
2018 Banzato, Tommaso; Cherubini Giunio, Bruto; Atzori, Manfredo; Zotti, Alessandro
Repeatability and reproducibility of an automated 3D technique for the measurement of canine femoral angles
2018 Longo, Federico; Nicetto, Tommaso; Banzato, Tommaso; Savio, Gianpaolo; Concheri, Gianmaria; Isola, Maurizio
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile