DE SANTIS, DOMENICO
DE SANTIS, DOMENICO
DIPARTIMENTO DI SCIENZE MEDICO-CHIRURGICHE E DI MEDICINA TRASLAZIONALE
A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions
2018 De Cecco, Carlo N.; Caruso, Damiano; Joseph Schoepf, U.; DE SANTIS, Domenico; Muscogiuri, Giuseppe; Albrecht, Moritz H.; Meinel, Felix G.; Wichmann, Julian L.; Burchett, Philip F.; Varga-Szemes, Akos; Sheafor, Douglas H.; Hardie, Andrew D.
Accuracy of an artificial intelligence deep learning algorithm implementing a recurrent neural network with long short-term memory for the automated detection of calcified plaques from coronary computed tomography angiography
2020 Fischer, A. M.; Eid, M.; De Cecco, C. N.; Gulsun, M. A.; Van Assen, M.; Nance, J. W.; Sahbaee, P.; De Santis, D.; Bauer, M. J.; Jacobs, B. E.; Varga-Szemes, A.; Kabakus, I. M.; Sharma, P.; Jackson, L. J.; Schoepf, U. J.
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 machine learning-based coronary CT fractional flow reserve (CT-FFRML): impact of iterative and filtered back projection reconstruction techniques
2019 Mastrodicasa, D.; Albrecht, M. H.; Schoepf, U. J.; Varga-Szemes, A.; Jacobs, B. E.; Gassenmaier, S.; De Santis, D.; Eid, M. H.; van Assen, M.; Tesche, C.; Mantini, C.; De Cecco, C. N.
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
Beam-hardening in 70-kV Coronary CT angiography. Artifact reduction using an advanced post-processing algorithm
2018 Albrecht, M. H.; Bickford, M. W.; Schoepf, U. J.; Tesche, C.; De Santis, D.; Eid, M.; Jacobs, B. E.; Duguay, T. M.; Schmidt, B. T.; Canstein, C.; Varga-Szemes, A.; Leithner, D.; Martin, S.; Vogl, T. J.; De Cecco, C. N.
Bowel preparation in CT colonography. Is diet restriction necessary? A randomised trial (dietsan)
2018 Bellini, Davide; De Santis, Domenico; Caruso, Damiano; Rengo, Marco; Ferrari, Riccardo; Biondi, Tommaso; Laghi, Andrea
Cardiac dual-energy CT applications and clinical impact
2017 Albrecht, M. H.; De Cecco, C. N.; Nance, J. W.; Varga-Szemes, A.; De Santis, D.; Eid, M.; Tesche, C.; Apfaltrer, G.; von Knebel Doeberitz, P. L.; Jacobs, B.; Vogl, T. J.; Joseph Schoepf, U.
Cardiac magnetic resonance imaging in immune check-point inhibitor myocarditis: a systematic review
2022 Arcari, Luca; Tini, Giacomo; Camastra, Giovanni; Ciolina, Federica; De Santis, Domenico; Russo, Domitilla; Caruso, Damiano; Danti, Massimiliano; Cacciotti, Luca
Cardiac magnetic resonance in patients with Takotsubo syndrome: Clinical correlates of T2 mapping
2024 Arcari, Luca; Camastra, Giovanni; Ciolina, Federica; Belmonte, Emanuela; De Santis, Domenico; Danti, Massimiliano; Caruso, Damiano; Maestrini, Viviana; Santoro, Francesco; Brunetti, Natale Daniele; Laghi, Andrea; Sbarbati, Stefano; Cacciotti, Luca
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.
Cinematic rendering in CT: a novel, lifelike 3D visualization technique
2017 Eid, Marwen; De Cecco, Carlo N.; Jr., John W Nance; Caruso, Damiano; Albrecht, Moritz H.; Spandorfer, Adam J.; DE SANTIS, Domenico; Varga-Szemes, Akos; Joseph Schoepf, U.
Comparison of triple-rule-out prospectively ECG-triggered systolic and diastolic acquisition protocol in patients with acute chest pain
2021 Fusaro, M.; Caruso, D.; Tessarin, G.; de Santis, D.; Balestriero, G.; Bortolanza, C.; Panvini, N.; Polidori, T.; Laghi, A.; Morana, G.
Computed Tomography of the Liver
2021 DE SANTIS, Domenico; Landolfi, Federica; Zerunian, Marta; Caruso, Damiano; Laghi, Andrea
Contrast media injection protocol optimization for dual-energy coronary CT angiography. results from a circulation phantom
2018 De Santis, Domenico; Caruso, Damiano; Schoepf, U Joseph; Eid, Marwen; Albrecht, Moritz H; Duguay, Taylor M; Varga-Szemes, Akos; Laghi, Andrea; De Cecco, Carlo N
Contrast medium injection protocols for coronary CT angiography. should contrast medium volumes be tailored to body weight or body surface area?
2020 Yin, W. -H.; Yu, Y. -T.; Zhang, Y.; An, Y. -Q.; Hou, Z. -H.; Gao, Y.; Wang, H. -P.; Lu, B.; De Santis, D.; Rollins, J. D.; Schoepf, U. J.
Coronary computed tomographic angiography-derived fractional flow reserve based on machine learning for risk stratification of non-culprit coronary narrowings in patients with acute coronary syndrome
2017 Duguay, T. M.; Tesche, C.; Vliegenthart, R.; De Cecco, C. N.; Lin, H.; Albrecht, M. H.; Varga-Szemes, A.; De Santis, D.; Ebersberger, U.; Bayer, R. R.; Litwin, S. E.; Hoffmann, E.; Steinberg, D. H.; Schoepf, U. J.
Coronary computed tomographic angiography-derived fractional flow reserve for therapeutic decision making
2017 Tesche, C.; Vliegenthart, R.; Duguay, T. M.; De Cecco, C. N.; Albrecht, M. H.; De Santis, D.; Langenbach, M. C.; Varga-Szemes, A.; Jacobs, B. E.; Jochheim, D.; Baquet, M.; Bayer, R. R.; Litwin, S. E.; Hoffmann, E.; Steinberg, D. H.; Schoepf, U. J.
Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia
2019 von Knebel Doeberitz, P. L.; De Cecco, C. N.; Schoepf, U. J.; Duguay, T. M.; Albrecht, M. H.; van Assen, M.; Bauer, M. J.; Savage, R. H.; Pannell, J. T.; De Santis, D.; Johnson, A. A.; Varga-Szemes, A.; Bayer, R. R.; Schonberg, S. O.; Nance, J. W.; Tesche, C.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions | 2018 | De Cecco, Carlo N.; Caruso, Damiano; Joseph Schoepf, U.; DE SANTIS, Domenico; Muscogiuri, Giuseppe; Albrecht, Moritz H.; Meinel, Felix G.; Wichmann, Julian L.; Burchett, Philip F.; Varga-Szemes, Akos; Sheafor, Douglas H.; Hardie, Andrew D. | |
| Accuracy of an artificial intelligence deep learning algorithm implementing a recurrent neural network with long short-term memory for the automated detection of calcified plaques from coronary computed tomography angiography | 2020 | Fischer, A. M.; Eid, M.; De Cecco, C. N.; Gulsun, M. A.; Van Assen, M.; Nance, J. W.; Sahbaee, P.; De Santis, D.; Bauer, M. J.; Jacobs, B. E.; Varga-Szemes, A.; Kabakus, I. M.; Sharma, P.; Jackson, L. J.; Schoepf, U. J. | |
| 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 machine learning-based coronary CT fractional flow reserve (CT-FFRML): impact of iterative and filtered back projection reconstruction techniques | 2019 | Mastrodicasa, D.; Albrecht, M. H.; Schoepf, U. J.; Varga-Szemes, A.; Jacobs, B. E.; Gassenmaier, S.; De Santis, D.; Eid, M. H.; van Assen, M.; Tesche, C.; Mantini, C.; De Cecco, C. N. | |
| 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 | |
| Beam-hardening in 70-kV Coronary CT angiography. Artifact reduction using an advanced post-processing algorithm | 2018 | Albrecht, M. H.; Bickford, M. W.; Schoepf, U. J.; Tesche, C.; De Santis, D.; Eid, M.; Jacobs, B. E.; Duguay, T. M.; Schmidt, B. T.; Canstein, C.; Varga-Szemes, A.; Leithner, D.; Martin, S.; Vogl, T. J.; De Cecco, C. N. | |
| Bowel preparation in CT colonography. Is diet restriction necessary? A randomised trial (dietsan) | 2018 | Bellini, Davide; De Santis, Domenico; Caruso, Damiano; Rengo, Marco; Ferrari, Riccardo; Biondi, Tommaso; Laghi, Andrea | |
| Cardiac dual-energy CT applications and clinical impact | 2017 | Albrecht, M. H.; De Cecco, C. N.; Nance, J. W.; Varga-Szemes, A.; De Santis, D.; Eid, M.; Tesche, C.; Apfaltrer, G.; von Knebel Doeberitz, P. L.; Jacobs, B.; Vogl, T. J.; Joseph Schoepf, U. | |
| Cardiac magnetic resonance imaging in immune check-point inhibitor myocarditis: a systematic review | 2022 | Arcari, Luca; Tini, Giacomo; Camastra, Giovanni; Ciolina, Federica; De Santis, Domenico; Russo, Domitilla; Caruso, Damiano; Danti, Massimiliano; Cacciotti, Luca | |
| Cardiac magnetic resonance in patients with Takotsubo syndrome: Clinical correlates of T2 mapping | 2024 | Arcari, Luca; Camastra, Giovanni; Ciolina, Federica; Belmonte, Emanuela; De Santis, Domenico; Danti, Massimiliano; Caruso, Damiano; Maestrini, Viviana; Santoro, Francesco; Brunetti, Natale Daniele; Laghi, Andrea; Sbarbati, Stefano; Cacciotti, Luca | |
| 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. | |
| Cinematic rendering in CT: a novel, lifelike 3D visualization technique | 2017 | Eid, Marwen; De Cecco, Carlo N.; Jr., John W Nance; Caruso, Damiano; Albrecht, Moritz H.; Spandorfer, Adam J.; DE SANTIS, Domenico; Varga-Szemes, Akos; Joseph Schoepf, U. | |
| Comparison of triple-rule-out prospectively ECG-triggered systolic and diastolic acquisition protocol in patients with acute chest pain | 2021 | Fusaro, M.; Caruso, D.; Tessarin, G.; de Santis, D.; Balestriero, G.; Bortolanza, C.; Panvini, N.; Polidori, T.; Laghi, A.; Morana, G. | |
| Computed Tomography of the Liver | 2021 | DE SANTIS, Domenico; Landolfi, Federica; Zerunian, Marta; Caruso, Damiano; Laghi, Andrea | |
| Contrast media injection protocol optimization for dual-energy coronary CT angiography. results from a circulation phantom | 2018 | De Santis, Domenico; Caruso, Damiano; Schoepf, U Joseph; Eid, Marwen; Albrecht, Moritz H; Duguay, Taylor M; Varga-Szemes, Akos; Laghi, Andrea; De Cecco, Carlo N | |
| Contrast medium injection protocols for coronary CT angiography. should contrast medium volumes be tailored to body weight or body surface area? | 2020 | Yin, W. -H.; Yu, Y. -T.; Zhang, Y.; An, Y. -Q.; Hou, Z. -H.; Gao, Y.; Wang, H. -P.; Lu, B.; De Santis, D.; Rollins, J. D.; Schoepf, U. J. | |
| Coronary computed tomographic angiography-derived fractional flow reserve based on machine learning for risk stratification of non-culprit coronary narrowings in patients with acute coronary syndrome | 2017 | Duguay, T. M.; Tesche, C.; Vliegenthart, R.; De Cecco, C. N.; Lin, H.; Albrecht, M. H.; Varga-Szemes, A.; De Santis, D.; Ebersberger, U.; Bayer, R. R.; Litwin, S. E.; Hoffmann, E.; Steinberg, D. H.; Schoepf, U. J. | |
| Coronary computed tomographic angiography-derived fractional flow reserve for therapeutic decision making | 2017 | Tesche, C.; Vliegenthart, R.; Duguay, T. M.; De Cecco, C. N.; Albrecht, M. H.; De Santis, D.; Langenbach, M. C.; Varga-Szemes, A.; Jacobs, B. E.; Jochheim, D.; Baquet, M.; Bayer, R. R.; Litwin, S. E.; Hoffmann, E.; Steinberg, D. H.; Schoepf, U. J. | |
| Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia | 2019 | von Knebel Doeberitz, P. L.; De Cecco, C. N.; Schoepf, U. J.; Duguay, T. M.; Albrecht, M. H.; van Assen, M.; Bauer, M. J.; Savage, R. H.; Pannell, J. T.; De Santis, D.; Johnson, A. A.; Varga-Szemes, A.; Bayer, R. R.; Schonberg, S. O.; Nance, J. W.; Tesche, C. |