Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach - researchr publication authors

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Alessio Virzì, Pietro Gori, C. O. Muller, E. Mille, Q. Peyrot, L. Berteloot, Nathalie Boddaert, S. Sarnacki, Isabelle Bloch. Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach. In Andrew Melbourne, Roxane Licandro, Matthew D. DiFranco, Paolo Rota, Melanie Gau, Martin Kampel, Rosalind Aughwane, Pim Moeskops, Ernst Schwartz, Emma C. Robinson, Antonios Makropoulos, editors, Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Volume 11076 of Lecture Notes in Computer Science, pages 97-106, Springer, 2018. [doi]

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