IRIS

MOSCHETTA, MARCO

MOSCHETTA, MARCO  

DIPARTIMENTO INTERDISCIPLINARE DI MEDICINA  

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Titolo Data di pubblicazione Autore(i) File
18F-FDG PET/CT in a patient with clinical suspicion of giant cell arteritis [La gestione di un caso di arterite a cellule giganti con la 18F-FDG PET/TC] 1-gen-2013 Altini, C; NICCOLI ASABELLA, Artor; Rubini, Giuseppe; Pisani, A. R.; Notaristefano, A; Moschetta, Marco; Giganti, M; Rubini, G.
18F-FDG PET/CT in staging and restaging cholangiocarcinoma [La PET/TC con 18F-FDG nella stadiazione, diagnosi e ristadiazione del colangiocarcinoma] 1-gen-2013 Notaristefano, A; NICCOLI ASABELLA, Artor; STABILE IANORA, Amato Antonio; Merenda, N; Moschetta, Marco; Antonica, F; Altini, C; Ferrari, C; Cesarano, E; Rubini, Giuseppe
18F-FDG PET/CT role in staging of gastric carcinomas: comparison with conventional contrast enhancement computed tomography 1-gen-2015 Altini, Corinna; NICCOLI ASABELLA, Artor; DI PALO, Alessandra; Fanelli, Margherita; Ferrari, Cristina; Moschetta, Marco; Rubini, Giuseppe
320-row CT virtual gastroscopy: differential diagnosis between benign and malignant ulcers 1-gen-2011 Moschetta, Marco; STABILE IANORA, Amato Antonio; Cazzato, F; Lorusso, V; Scardapane, Arnaldo; Angelelli, G.
320-row CT virtual gastroscopy: differential diagnosis between benign and malignant ulcers. 1-gen-2011 Moschetta, Marco; STABILE IANORA, Amato Antonio; Cazzato, F; Lorusso, V; Scardapane, Arnaldo; Angelelli, Giuseppe
3D analysis CT software in volumetric and densitometric analysis of urinary stones 1-gen-2013 Moschetta, Marco; Scardapane, Arnaldo; Telegrafo, M; Angelelli, G; STABILE IANORA, Amato Antonio
3D Virtual Colonoscopy for polyps detection by supervised artifical neural networks 1-gen-2012 Bevilacqua, V; De fano, D; Giannini, S; Mastronardi, G; Paradiso, V; Pennini, M; Piccinni, M; Angelelli, Giuseppe; Moschetta, Marco
3D Virtual Colonoscopy for polyps detection by supervised artifical neural networks 1-gen-2011 Bevilacqua, V; De fano, D; Giannini, S; Mastronardi, G; Paradiso, V; Pennini, M; Piccinni, M; Angelelli, G; Moschetta, Marco
A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis 1-gen-2018 Losurdo, Liliana; Fanizzi, Annarita; Basile, Teresa M. A.; Bellotti, Roberto; Bottigli, Ubaldo; Dentamaro, Rosalba; Didonna, Vittorio; Fausto, Alfonso; Massafra, Raffaella; Monaco, Alfonso; Moschetta, Marco; Popescu, Ondina; Tamborra, Pasquale; Tangaro, Sabina; La Forgia, Daniele
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images 1-gen-2019 Bevilacqua, V.; Brunetti, A.; Cascarano, G. D.; Guerriero, A.; Pesce, F.; Moschetta, M.; Gesualdo, L.
A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images 1-gen-2018 Bevilacqua, Vitoantonio; Brunetti, Antonio; Cascarano, Giacomo Donato; Palmieri, Flavio; Guerriero, Andrea; Moschetta, Marco
A diagnostic dilemma: Pedunculated mesenteric lipodystrophy mimicking Meckel's diverticulum. A case report and literature review 1-gen-2020 Mirabile, Alessandra; Moschetta, Marco; Lucarelli, Nicola; Telegrafo, Michele; Scardapane, Arnaldo; Stabile Ianora, Amato Antonio
A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis 1-gen-2020 Fanizzi, A.; Basile, T. M. A.; Losurdo, L.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, R.; Moschetta, M.; Popescu, O.; Tamborra, P.; Tangaro, S.; La Forgia, D.
A machine learning tool to predict the response to neoadjuvant chemotherapy in patients with locally advanced cervical cancer 1-gen-2021 Arezzo, F.; La Forgia, D.; Venerito, V.; Moschetta, M.; Tagliafico, A. S.; Lombardi, C.; Loizzi, V.; Cicinelli, E.; Cormio, G.
A new computer-aided decision (CAD) system based on artificial neural networks for detecting breast lesions on MRI 1-gen-2017 Telegrafo, Michele; Bevilacqua, V; De Ceglie, S; STABILE IANORA, Amato Antonio; Angelelli, Giuseppe; Moschetta, Marco
A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images 1-gen-2019 Bevilacqua, Vitoantonio; Brunetti, Antonio; Guerriero, Andrea; Trotta, Gianpaolo Francesco; Telegrafo, Michele; Moschetta, Marco
A supervised breast lesion images classification from tomosynthesis technique 1-gen-2017 Bevilacqua, Vitoantonio; Altini, Daniele; Bruni, Martino; Riezzo, Marco; Brunetti, Antonio; Loconsole, Claudio; Guerriero, Andrea; Trotta, Gianpaolo Francesco; Fasano, Rocco; DI PIRCHIO, Marica; Tartaglia, Cristina; Ventrella, Elena; Telegrafo, Michele; Moschetta, Marco
Abbreviated Combined MR Protocol: A New Faster Strategy for Characterizing Breast Lesions 1-gen-2016 Moschetta, Marco; Telegrafo, Michele; Rella, Leonarda; STABILE IANORA, Amato Antonio; Angelelli, Giuseppe
ADAPTIVE COPING STRATEGIES ARE ASSOCIATED WITH POST-SURGICAL DISTRESS REDUCTION IN WOMEN WITH BREAST CANCER DIAGNOSIS: A PRE-POST STUDY 1-gen-2021 Verri, Veronica; Abbatantuono, Chiara; Pepe, Ilaria; Taurisano, Paolo; Taurino, Alessandro; Moschetta, Marco; Antonucci, LINDA ANTONELLA; DE CARO, Maria
Adenocarcinoma of the ceruminous glands: role of the VMAT 1-gen-2016 Vallarelli, Simona; Stucci, LUIGIA STEFANIA; Tucci, MARCO GAETANO; Quaranta, Nicola Antonio Adolfo; Donatella, Russo; Moschetta, Marco; Silvestris, Francesco