Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Francesco Calivá"'
Autor:
Jacob Ellison, Francesco Caliva, Pablo Damasceno, Tracy L. Luks, Marisa LaFontaine, Julia Cluceru, Anil Kemisetti, Yan Li, Annette M. Molinaro, Valentina Pedoia, Javier E. Villanueva-Meyer, Janine M. Lupo
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 497 (2024)
Although fully automated volumetric approaches for monitoring brain tumor response have many advantages, most available deep learning models are optimized for highly curated, multi-contrast MRI from newly diagnosed gliomas, which are not representati
Externí odkaz:
https://doaj.org/article/b76c5a155cbc45c190289cce0afd1a43
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract MRI T2 mapping sequences quantitatively assess tissue health and depict early degenerative changes in musculoskeletal (MSK) tissues like cartilage and intervertebral discs (IVDs) but require long acquisition times. In MSK imaging, small feat
Externí odkaz:
https://doaj.org/article/de0977be27b54bac81593f039b5c7f09
Autor:
Alejandro G. Morales, Jinhee J. Lee, Francesco Caliva, Claudia Iriondo, Felix Liu, Sharmila Majumdar, Valentina Pedoia
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Knee pain is the most common and debilitating symptom of knee osteoarthritis (OA). While there is a perceived association between OA imaging biomarkers and pain, there are weak or conflicting findings for this relationship. This study uses D
Externí odkaz:
https://doaj.org/article/1bfd63fb3ff1420cb11f0eccd2da2675
Autor:
Sashank Macha, Om Oza, Alex Escott, Francesco Calivá, Robbie Armitano, Santosh Kumar Cheekatmalla, Sree Hari Krishnan Parthasarathi, Yuzong Liu
Fixed-point (FXP) inference has proven suitable for embedded devices with limited computational resources, and yet model training is continually performed in floating-point (FLP). FXP training has not been fully explored and the non-trivial conversio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a456dca8a35606d8d56ae41d542490e3
Autor:
Francesco Calivá, Sarthak Kamat, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia
Publikováno v:
Medical Image Analysis. 77:102388
Bone shape changes are considered a relevant biomarker in understanding the onset and progression of knee osteoarthritis (OA). This study used a novel deep learning pipeline to predict longitudinal bone shape changes in the femur four years in advanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa73244281f7741f9cd6daf9984ae777
https://doi.org/10.1016/j.media.2022.102388
https://doi.org/10.1016/j.media.2022.102388
Autor:
Samaneh Abbasi-Sureshjani, Bashir Al-Diri, Stefanos Apostolopoulos, Antonis A. Argyros, Lucia Ballerini, Sarah A. Barman, Erik J. Bekkers, Hrvoje Bogunović, Adrian Bradu, Catey Bunce, Philip I. Burgess, Philippe Burlina, Francesco Calivá, Aurélio Campilho, Guillem Carles, Jun Cheng, Li Cheng, Carol Yim-lui Cheung, Piotr Chudzik, Carlos Ciller, Adam Cohen, Pedro Costa, Gabriela Czanner, Behdad Dashtbozorg, Alexander Doney, Huazhu Fu, Adrian Galdran, Jakob Grauslund, Zaiwang Gu, Pedro Guimarães, Maged Habib, Andrew R. Harvey, Carlos Hernandez-Matas, Stephen Hogg, Wynne Hsu, Zhihong Jewel Hu, Fan Huang, Yan Huang, Emily R. Jefferson, Ryo Kawasaki, Le Van La, Mong Li Lee, Huiqi Li, Xing Li, Zhengguo Li, Gilbert Lim, Jiang Liu, Xuan Liu, Xingzheng Lyu, Tom MacGillivray, Sarah McGrory, Andrew McNeil, Muthu Rama Krishnan Mookiah, Giovanni Ometto, Christopher G. Owen, Adrian Podoleanu, Alicja R. Rudnicka, Alfredo Ruggeri, Srinivas Reddy Sadda, Ursula Schmidt-Erfurth, Raphael Sznitman, Bart M. ter Haar Romeny, Daniel Shu Wei Ting, Emanuele Trucco, Wolf-Dieter Vogl, Sebastian M. Waldstein, Lei Wang, Roshan A. Welikala, Jeffrey Wigdahl, Bryan M. Williams, Sebastian Wolf, Damon Wing Kee Wong, Posey Po-yin Wong, Tien Yin Wong, Yanwu Xu, Dalu Yang, Yehui Yang, Xenophon Zabulis, Sandro De Zanet, Jiong Zhang, He Zhao, Yalin Zheng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f3bcdc37c1626981d676f85334eac9
https://doi.org/10.1016/b978-0-08-102816-2.09990-1
https://doi.org/10.1016/b978-0-08-102816-2.09990-1