Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Baris U. Oguz, Jiancong Wang, Natalie Yushkevich, Alison M. Pouch, James C. Gee, Paul A. Yushkevich, Nadav Schwartz, Ipek Oguz. Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS. 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 138-148, Springer, 2018. [doi]

This author has not been identified. Look up 'Baris U. Oguz' in GoogleThis author has not been identified. Look up 'Jiancong Wang' in GoogleThis author has not been identified. Look up 'Natalie Yushkevich' in GoogleThis author has not been identified. Look up 'Alison M. Pouch' in GoogleThis author has not been identified. Look up 'James C. Gee' in GoogleThis author has not been identified. Look up 'Paul A. Yushkevich' in GoogleThis author has not been identified. Look up 'Nadav Schwartz' in GoogleThis author has not been identified. Look up 'Ipek Oguz' in Google

runs on WebDSL