| Mean diffusivity discriminates between prostate cancer with grade group 1&2 and grade groups equal to or greater than 3 M Nezzo, MG Di Trani, A Caporale, R Miano, A Mauriello, P Bove, ... European Journal of Radiology 85 (10), 1794-1801, 2016 | 25 | 2016 |
| Performance of diffusion kurtosis imaging versus diffusion tensor imaging in discriminating between benign tissue, low and high Gleason grade prostate cancer MG Di Trani, M Nezzo, AS Caporale, R De Feo, R Miano, A Mauriello, ... Academic Radiology 26 (10), 1328-1337, 2019 | 23 | 2019 |
| Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non‐occiput anterior positions during labor T Ghi, F Conversano, R Ramirez Zegarra, P Pisani, A Dall'Asta, ... Ultrasound in Obstetrics & Gynecology 59 (1), 93-99, 2022 | 15 | 2022 |
| Apparent diffusion coefficient assessment of brain development in normal fetuses and ventriculomegaly MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, C Catalano, ... Frontiers in Physics 7, 160, 2019 | 11 | 2019 |
| A multi-parametric investigation on waterlogged wood using a magnetic resonance imaging clinical scanner S Longo, F Egizi, V Stagno, MG Di Trani, G Marchelletta, T Gili, E Fazio, ... Forests 14 (2), 276, 2023 | 5 | 2023 |
| A deep learning approach to identify the fetal head position using transperineal ultrasound during labor RR Zegarra, F Conversano, A Dall'Asta, MG Di Trani, S Fieni, R Morello, ... European Journal of Obstetrics & Gynecology and Reproductive Biology 301 …, 2024 | 1 | 2024 |
| Acquisition Parameters Influence Diffusion Metrics Effectiveness in Probing Prostate Tumor and Age-Related Microstructure AS Caporale, M Nezzo, MG Di Trani, A Maiuro, R Miano, P Bove, ... Journal of Personalized Medicine 13 (5), 860, 2023 | 1 | 2023 |
| Computer-implemented method and system for determining the fetus ventricular volume from diffusion-weighted magnetic resonance imaging, and related nmr ventricle volume … S Capuani, M Borrelli, G Pratesi, MG Di Trani, L Manganaro US Patent App. 18/255,687, 2024 | | 2024 |
| OP01. 04: Automatic identification of fetal occiput positions using intrapartum transperineal ultrasound and convolutional neural networks A Dall'Asta, M Di Trani, G Schera, R Morello, G Morganelli, F Conversano, ... Ultrasound in Obstetrics & Gynecology 62, 48-48, 2023 | | 2023 |
| OC02. 02: Artificial intelligence for automatic classification of anterior/posterior/transverse occiput positions using transperineal sonography. A Dall'Asta, F Conversano, M Minopoli, G Martignon, M Di Trani, ... Ultrasound in Obstetrics & Gynecology 60, 2022 | | 2022 |
| Denoised Diffusion Weighted Imaging for the characterization of brain microstructure in fetuses with isolated Ventriculomegaly A Antonelli, MG Di Trani, S Capuani, S Bernardo, S Satta, L Manganaro, ... European Congress of Radiology-ECR 2020, 2020 | | 2020 |
| Apparent diffusion coefficient values of the normal foetal brain developing MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, S Bernardo, ... Proceedings of the International School on Magnetic Resonance and Brain …, 2018 | | 2018 |
| Histogram analysis of low-and high-risk prostate cancer. a comparison between Gaussian and non-Gaussian diffusion M DI TRANI, A Caporale, M Nezzo, R Miano, A Mauriello, P Bove, ... Magnetic Resonance Materials in Physics, Biology and Medicine 30, 2017 | | 2017 |
| About the dependence of Gaussian diffusion and Kurtosis parameters on SNR in prostate DWIs M Di Trani, S Monti, C Cavaliere, M Aiello, S Capuani Magnetic Resonance Materials in Physics, Biology and Medicine 30, 2017 | | 2017 |
| Reliable assessment of apparent diffusion coefficient in normal and ventriculomegaly fetal brains MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, M Borrelli, ... | | |
| Mean Kurtosis discriminates between low-and high-risk prostate cancer better than Mean diffusivity does MG Di Trani, A Caporale, M Nezzo, R Miano, A Mauriello, P Bove, ... | | |
Silvia CapuaniAssistant Professor ISC CNR Physics Dpt. Sapienza University of RomeVerified email at roma1.infn.it
