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RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals

Autor: Bray, T. J. P., Minore, G. V., Bainbridge, A., Dwyer-Hemmings, L., Taylor, S. A., Hall-Craggs, M. A., Zhang, H.

Purpose: There has been substantial recent interest in magnitude-based fitting methods for estimating proton density fat fraction (PDFF) and R2* from chemical shift-encoded MRI data, since these methods can still be used when complex-based methods fa

Externí odkaz: http://arxiv.org/abs/2403.01178

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Akademický článek

Bladder Pain Syndrome (BPS): A Comprehensive Review of Treatment Strategies and Management Approaches

Autor: Cacciatore L, Territo A, Minore A, Testa A, Mantica G, Esperto F

Publikováno v: Research and Reports in Urology, Vol Volume 16, Pp 273-282 (2024)

Loris Cacciatore,1 Angelo Territo,2 Antonio Minore,1 Antonio Testa,1 Guglielmo Mantica,3 Francesco Esperto1 1Department of Urology, Fondazione Policlinico Universitario Campus Bio-Medico Di Roma, Rome, Italy; 2Department of Urology, Fundació Puigver

Externí odkaz: https://doaj.org/article/fd1df5f8d771468a8d0009db610cd002

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Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels

Autor: Chalcroft, Liam F, Qu, Jiongqi, Martin, Sophie A, Gayo, Iani JMB, Minore, Giulio V, Singh, Imraj RD, Saeed, Shaheer U, Yang, Qianye, Baum, Zachary MC, Altmann, Andre, Hu, Yipeng

When developing deep neural networks for segmenting intraoperative ultrasound images, several practical issues are encountered frequently, such as the presence of ultrasound frames that do not contain regions of interest and the high variance in grou

Externí odkaz: http://arxiv.org/abs/2108.04114

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