ZERUNIAN, MARTA
ZERUNIAN, MARTA
DIPARTIMENTO DI SCIENZE MEDICO-CHIRURGICHE E DI MEDICINA TRASLAZIONALE
Adrenal lesions: a review of imaging
2022 Bracci, Benedetta; DE SANTIS, Domenico; DEL GAUDIO, Antonella; Faugno, MARIA CARLA; Romano, Allegra; Tarallo, Mariarita; Zerunian, Marta; Guido, Gisella; Polici, Michela; Polidori, Tiziano; Pucciarelli, Francesco; Matarazzo, Iolanda; Laghi, Andrea; Caruso, Damiano
Artificial intelligence based image quality enhancement in liver MRI. a quantitative and qualitative evaluation
2022 Zerunian, Marta; Pucciarelli, Francesco; Caruso, Damiano; Polici, Michela; Masci, Benedetta; Guido, Gisella; De Santis, Domenico; Polverari, Daniele; Principessa, Daniele; Benvenga, Antonella; Iannicelli, Elsa; Laghi, Andrea
Artificial intelligence-based VS standard acquisition in upper abdomen MRI: quantitative and qualitative image analysis
2022 Masci, B.; Zerunian, M.; Pucciarelli, F.; Polici, M.; Piccinni, G.; Polverari, D.; Iannicelli, E.; Caruso, D.; Laghi, A.
Automated identification of coronary arteries in assisting inexperienced readers: comparison between two commercial vendors
2022 DE SANTIS, Domenico; Tremamunno, Giuseppe; Rucci, Carlotta; Polidori, Tiziano; Zerunian, Marta; Piccinni, Giulia; Pugliese, Luca; Masci, Benedetta; Ubaldi, Nicolò; Laghi, Andrea; Caruso, Damiano
Chest CT Features of COVID-19 in Rome, Italy
2020 Caruso, Damiano; Zerunian, Marta; Polici, Michela; Pucciarelli, Francesco; Polidori, Tiziano; Rucci, Carlotta; Guido, Gisella; Bracci, Benedetta; de Dominicis, Chiara; Laghi, Andrea
Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia
2021 Caruso, D.; Pucciarelli, F.; Zerunian, M.; Ganeshan, B.; De Santis, D.; Polici, M.; Rucci, C.; Polidori, T.; Guido, G.; Bracci, B.; Benvenga, A.; Barbato, L.; Laghi, A.
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma
2022 Rundo, L.; Beer, L.; Escudero Sanchez, L.; Crispin-Ortuzar, M.; Reinius, M.; Mccague, C.; Sahin, H.; Bura, V.; Pintican, R.; Zerunian, M.; Ursprung, S.; Allajbeu, I.; Addley, H.; Martin-Gonzalez, P.; Buddenkotte, T.; Singh, N.; Sahdev, A.; Funingana, I. -G.; Jimenez-Linan, M.; Markowetz, F.; Brenton, J. D.; Sala, E.; Woitek, R.
Computed Tomography of the Liver
2021 DE SANTIS, Domenico; Landolfi, Federica; Zerunian, Marta; Caruso, Damiano; Laghi, Andrea
CT based radiomic approach on first line pembrolizumab in lung cancer
2021 Zerunian, M.; Caruso, D.; Zucchelli, A.; Polici, M.; Capalbo, C.; Filetti, M.; Mazzuca, F.; Marchetti, P.; Laghi, A.
CT myocardial perfusion. State of the science
2017 Caruso, Damiano; DE SANTIS, Domenico; Schoepf, U. Joseph; Zerunian, Marta; Eid, Marwen; Varga Szemes, Akos; Tesche, Christian; Duguay, Taylor M.; Laghi, Andrea; DE CECCO, CARLO NICOLA
CT texture analysis of liver metastases in PNETs versus NPNETs. correlation with histopathological findings
2020 Martini, I.; Polici, M.; Zerunian, M.; Panzuto, F.; Rinzivillo, M.; Landolfi, F.; Magi, L.; Caruso, D.; Eid, M.; Annibale, B.; Laghi, A.; Iannicelli, E.
CT-based radiomics for prediction of therapeutic response to Everolimus in metastatic neuroendocrine tumors
2022 Caruso, Damiano; Polici, Michela; Rinzivillo, Maria; Zerunian, Marta; Nacci, Ilaria; Marasco, Matteo; Magi, Ludovica; Tarallo, Mariarita; Gargiulo, Simona; Iannicelli, Elsa; Annibale, Bruno; Laghi, Andrea; Panzuto, Francesco
Deep learning image reconstruction algorithm. impact on image quality in coronary computed tomography angiography
2023 De Santis, Domenico; Polidori, Tiziano; Tremamunno, Giuseppe; Rucci, Carlotta; Piccinni, Giulia; Zerunian, Marta; Pugliese, Luca; Del Gaudio, Antonella; Guido, Gisella; Barbato, Luca; Laghi, Andrea; Caruso, Damiano
Deep learning-based segmentation of multisite disease in ovarian cancer
2023 Buddenkotte, Thomas; Rundo, Leonardo; Woitek, Ramona; Escudero Sanchez, Lorena; Beer, Lucian; Crispin-Ortuzar, Mireia; Etmann, Christian; Mukherjee, Subhadip; Bura, Vlad; Mccague, Cathal; Sahin, Hilal; Pintican, Roxana; Zerunian, Marta; Allajbeu, Iris; Singh, Naveena; Sahdev, Anju; Havrilesky, Laura; Cohn, David E; Bateman, Nicholas W; Conrads, Thomas P; Darcy, Kathleen M; Maxwell, G Larry; Freymann, John B; Öktem, Ozan; Brenton, James D; Sala, Evis; Schönlieb, Carola-Bibiane
Development and validation of artificial-intelligence-based radiomics model using computed tomography features for preoperative risk stratification of gastrointestinal stromal tumors
2023 Rengo, Marco; Onori, Alessandro; Caruso, Damiano; Bellini, Davide; Carbonetti, Francesco; De Santis, Domenico; Vicini, Simone; Zerunian, Marta; Iannicelli, Elsa; Carbone, Iacopo; Laghi, Andrea
Diagnostic performance of CT lung severity score and quantitative chest CT for stratification of COVID-19 patients
2022 Caruso, D.; Zerunian, M.; Polici, M.; Pucciarelli, F.; Guido, G.; Polidori, T.; Rucci, C.; Bracci, B.; Tremamunno, G.; Laghi, A.
Dynamic contrast-enhanced magnetic resonance imaging in locally advanced rectal cancer: role of perfusion parameters in the assessment of response to treatment
2019 Ciolina, Maria; Caruso, Damiano; De Santis, Domenico; Zerunian, Marta; Rengo, Marco; Alfieri, Norma; Musio, Daniela; De Felice, Francesca; Ciardi, Antonio; Tombolini, Vincenzo; Laghi, Andrea
Editorial for "Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy. A Preliminary Study"
2023 Zerunian, Marta; Laghi, Andrea; Caruso, Damiano
Explainable AI in radiology. a white paper of the Italian Society of Medical and Interventional Radiology
2023 Neri, Emanuele; Aghakhanyan, Gayane; Zerunian, Marta; Gandolfo, Nicoletta; Grassi, Roberto; Miele, Vittorio; Giovagnoni, Andrea; Laghi, Andrea
Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol
2023 Zerunian, M.; Pucciarelli, F.; Caruso, D.; De Santis, D.; Polici, M.; Masci, B.; Nacci, I.; Del Gaudio, A.; Argento, G.; Redler, A.; Laghi, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Adrenal lesions: a review of imaging | 2022 | Bracci, Benedetta; DE SANTIS, Domenico; DEL GAUDIO, Antonella; Faugno, MARIA CARLA; Romano, Allegra; Tarallo, Mariarita; Zerunian, Marta; Guido, Gisella; Polici, Michela; Polidori, Tiziano; Pucciarelli, Francesco; Matarazzo, Iolanda; Laghi, Andrea; Caruso, Damiano | |
| Artificial intelligence based image quality enhancement in liver MRI. a quantitative and qualitative evaluation | 2022 | Zerunian, Marta; Pucciarelli, Francesco; Caruso, Damiano; Polici, Michela; Masci, Benedetta; Guido, Gisella; De Santis, Domenico; Polverari, Daniele; Principessa, Daniele; Benvenga, Antonella; Iannicelli, Elsa; Laghi, Andrea | |
| Artificial intelligence-based VS standard acquisition in upper abdomen MRI: quantitative and qualitative image analysis | 2022 | Masci, B.; Zerunian, M.; Pucciarelli, F.; Polici, M.; Piccinni, G.; Polverari, D.; Iannicelli, E.; Caruso, D.; Laghi, A. | |
| Automated identification of coronary arteries in assisting inexperienced readers: comparison between two commercial vendors | 2022 | DE SANTIS, Domenico; Tremamunno, Giuseppe; Rucci, Carlotta; Polidori, Tiziano; Zerunian, Marta; Piccinni, Giulia; Pugliese, Luca; Masci, Benedetta; Ubaldi, Nicolò; Laghi, Andrea; Caruso, Damiano | |
| Chest CT Features of COVID-19 in Rome, Italy | 2020 | Caruso, Damiano; Zerunian, Marta; Polici, Michela; Pucciarelli, Francesco; Polidori, Tiziano; Rucci, Carlotta; Guido, Gisella; Bracci, Benedetta; de Dominicis, Chiara; Laghi, Andrea | |
| Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia | 2021 | Caruso, D.; Pucciarelli, F.; Zerunian, M.; Ganeshan, B.; De Santis, D.; Polici, M.; Rucci, C.; Polidori, T.; Guido, G.; Bracci, B.; Benvenga, A.; Barbato, L.; Laghi, A. | |
| Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma | 2022 | Rundo, L.; Beer, L.; Escudero Sanchez, L.; Crispin-Ortuzar, M.; Reinius, M.; Mccague, C.; Sahin, H.; Bura, V.; Pintican, R.; Zerunian, M.; Ursprung, S.; Allajbeu, I.; Addley, H.; Martin-Gonzalez, P.; Buddenkotte, T.; Singh, N.; Sahdev, A.; Funingana, I. -G.; Jimenez-Linan, M.; Markowetz, F.; Brenton, J. D.; Sala, E.; Woitek, R. | |
| Computed Tomography of the Liver | 2021 | DE SANTIS, Domenico; Landolfi, Federica; Zerunian, Marta; Caruso, Damiano; Laghi, Andrea | |
| CT based radiomic approach on first line pembrolizumab in lung cancer | 2021 | Zerunian, M.; Caruso, D.; Zucchelli, A.; Polici, M.; Capalbo, C.; Filetti, M.; Mazzuca, F.; Marchetti, P.; Laghi, A. | |
| CT myocardial perfusion. State of the science | 2017 | Caruso, Damiano; DE SANTIS, Domenico; Schoepf, U. Joseph; Zerunian, Marta; Eid, Marwen; Varga Szemes, Akos; Tesche, Christian; Duguay, Taylor M.; Laghi, Andrea; DE CECCO, CARLO NICOLA | |
| CT texture analysis of liver metastases in PNETs versus NPNETs. correlation with histopathological findings | 2020 | Martini, I.; Polici, M.; Zerunian, M.; Panzuto, F.; Rinzivillo, M.; Landolfi, F.; Magi, L.; Caruso, D.; Eid, M.; Annibale, B.; Laghi, A.; Iannicelli, E. | |
| CT-based radiomics for prediction of therapeutic response to Everolimus in metastatic neuroendocrine tumors | 2022 | Caruso, Damiano; Polici, Michela; Rinzivillo, Maria; Zerunian, Marta; Nacci, Ilaria; Marasco, Matteo; Magi, Ludovica; Tarallo, Mariarita; Gargiulo, Simona; Iannicelli, Elsa; Annibale, Bruno; Laghi, Andrea; Panzuto, Francesco | |
| Deep learning image reconstruction algorithm. impact on image quality in coronary computed tomography angiography | 2023 | De Santis, Domenico; Polidori, Tiziano; Tremamunno, Giuseppe; Rucci, Carlotta; Piccinni, Giulia; Zerunian, Marta; Pugliese, Luca; Del Gaudio, Antonella; Guido, Gisella; Barbato, Luca; Laghi, Andrea; Caruso, Damiano | |
| Deep learning-based segmentation of multisite disease in ovarian cancer | 2023 | Buddenkotte, Thomas; Rundo, Leonardo; Woitek, Ramona; Escudero Sanchez, Lorena; Beer, Lucian; Crispin-Ortuzar, Mireia; Etmann, Christian; Mukherjee, Subhadip; Bura, Vlad; Mccague, Cathal; Sahin, Hilal; Pintican, Roxana; Zerunian, Marta; Allajbeu, Iris; Singh, Naveena; Sahdev, Anju; Havrilesky, Laura; Cohn, David E; Bateman, Nicholas W; Conrads, Thomas P; Darcy, Kathleen M; Maxwell, G Larry; Freymann, John B; Öktem, Ozan; Brenton, James D; Sala, Evis; Schönlieb, Carola-Bibiane | |
| Development and validation of artificial-intelligence-based radiomics model using computed tomography features for preoperative risk stratification of gastrointestinal stromal tumors | 2023 | Rengo, Marco; Onori, Alessandro; Caruso, Damiano; Bellini, Davide; Carbonetti, Francesco; De Santis, Domenico; Vicini, Simone; Zerunian, Marta; Iannicelli, Elsa; Carbone, Iacopo; Laghi, Andrea | |
| Diagnostic performance of CT lung severity score and quantitative chest CT for stratification of COVID-19 patients | 2022 | Caruso, D.; Zerunian, M.; Polici, M.; Pucciarelli, F.; Guido, G.; Polidori, T.; Rucci, C.; Bracci, B.; Tremamunno, G.; Laghi, A. | |
| Dynamic contrast-enhanced magnetic resonance imaging in locally advanced rectal cancer: role of perfusion parameters in the assessment of response to treatment | 2019 | Ciolina, Maria; Caruso, Damiano; De Santis, Domenico; Zerunian, Marta; Rengo, Marco; Alfieri, Norma; Musio, Daniela; De Felice, Francesca; Ciardi, Antonio; Tombolini, Vincenzo; Laghi, Andrea | |
| Editorial for "Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy. A Preliminary Study" | 2023 | Zerunian, Marta; Laghi, Andrea; Caruso, Damiano | |
| Explainable AI in radiology. a white paper of the Italian Society of Medical and Interventional Radiology | 2023 | Neri, Emanuele; Aghakhanyan, Gayane; Zerunian, Marta; Gandolfo, Nicoletta; Grassi, Roberto; Miele, Vittorio; Giovagnoni, Andrea; Laghi, Andrea | |
| Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol | 2023 | Zerunian, M.; Pucciarelli, F.; Caruso, D.; De Santis, D.; Polici, M.; Masci, B.; Nacci, I.; Del Gaudio, A.; Argento, G.; Redler, A.; Laghi, A. |