S265: Radiomics and Artificial Intelligence for Identification and Monitoring of Silent Cerebral Infarcts in Sickle Cell Disease: First Analysis From the Genomed4all European Project

Boaro, M. P.; Biondi, R.; Biondini, N.; Collado Gimbert, A.; Jm, E. F.; Pinto, V.; Romano, N.; Voi, V.; Ferrero, G. B.; Casale, M.; Cirillo, M.; Palazzi, G.; Cavalleri, F.; Forni, G. L.; Reggiani, G.; Perrotta, S.; Manu Pereira, M.; Zazo, S.; Marias, K.; De Montalembert, M.; Bartolucci, P.; van Beers, E.; Alvarez, F.; Cremonesi, F.; Sanavia, T.; Fariselli, P.; Castellani, G.; Manara, R.; Colombatti, R.

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Lippincott, Williams & Wilkins, HemaSphere, (6), p. 166-167, 2022

DOI: 10.1097/01.hs9.0000843952.59228.1d

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S265: Radiomics and Artificial Intelligence for Identification and Monitoring of Silent Cerebral Infarcts in Sickle Cell Disease: First Analysis From the Genomed4all European Project

Journal article published in 2022 by M. P. Boaro, R. Biondi, N. Biondini, A. Collado Gimbert, E. F. Jm, V. Pinto, N. Romano, V. Voi, G. B. Ferrero, M. Casale, M. Cirillo, G. Palazzi, F. Cavalleri, G. L. Forni, G. Reggiani and other authors.

This paper is made freely available by the publisher.

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S265: Radiomics and Artificial Intelligence for Identification and Monitoring of Silent Cerebral Infarcts in Sickle Cell Disease: First Analysis From the Genomed4all European Project