Zobrazeno 1 - 10
of 464
pro vyhledávání: '"Dávid, Anna"'
Autor:
Talati, Musa, Lange, Frederic, Airantzis, Dimitrios, Chitnis, Danial, Illukwe, Temisan, Gopal, Darshana, Pinti, Paola, Ranaei-Zamani, Niccole, Kowobari, Olayinka, Hillman, Sara, Siassakos, Dimitrios, David, Anna, Mitra, Subhabrata, Tachtsidis, Ilias
Broadband NIRS (bNIRS) is an extension of fNIRS that provides the same assessment of oxygenation biomarkers along with a valuable marker for oxygen metabolism at a cellular level, the oxidation state of cytochrome-c-oxidase (oxCCO). bNIRS implements
Externí odkaz:
http://arxiv.org/abs/2407.04515
Autor:
Di Vece, Chiara, Cirigliano, Antonio, Lous, Meala Le, Napolitano, Raffaele, David, Anna L., Peebles, Donald, Jannin, Pierre, Vasconcelos, Francisco, Stoyanov, Danail
This paper introduces a novel pipeline designed to bring ultrasound (US) plane pose estimation closer to clinical use for more effective navigation to the standard planes (SPs) in the fetal brain. We propose a semi-supervised segmentation model utili
Externí odkaz:
http://arxiv.org/abs/2404.07124
Autor:
Di Vece, Chiara, Lous, Maela Le, Dromey, Brian, Vasconcelos, Francisco, David, Anna L, Peebles, Donald, Stoyanov, Danail
In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a significant challenge in skill acquisition. We aim to build a US plane localiza
Externí odkaz:
http://arxiv.org/abs/2301.08317
Autor:
Zeidan, Aya Mutaz, Gilliland, Paula Ramirez, Patel, Ashay, Ou, Zhanchong, Flouri, Dimitra, Mufti, Nada, Maksym, Kasia, Aughwane, Rosalind, Ourselin, Sebastien, David, Anna, Melbourne, Andrew
Fetal growth restriction (FGR) is a prevalent pregnancy condition characterised by failure of the fetus to reach its genetically predetermined growth potential. We explore the application of model fitting techniques, linear regression machine learnin
Externí odkaz:
http://arxiv.org/abs/2211.02639
Autor:
Casella, Alessandro, Bano, Sophia, Vasconcelos, Francisco, David, Anna L., Paladini, Dario, Deprest, Jan, De Momi, Elena, Mattos, Leonardo S., Moccia, Sara, Stoyanov, Danail
In Twin-to-Twin Transfusion Syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between the two fetuses. In the current practice, TTTS is treated surgically by closing abnormal anastomoses using
Externí odkaz:
http://arxiv.org/abs/2207.13185
Autor:
Avisdris, Netanell, Joskowicz, Leo, Dromey, Brian, David, Anna L., Peebles, Donald M., Stoyanov, Danail, Bashat, Dafna Ben, Bano, Sophia
Fetal growth assessment from ultrasound is based on a few biometric measurements that are performed manually and assessed relative to the expected gestational age. Reliable biometry estimation depends on the precise detection of landmarks in standard
Externí odkaz:
http://arxiv.org/abs/2206.14678
Autor:
Bano, Sophia, Casella, Alessandro, Vasconcelos, Francisco, Qayyum, Abdul, Benzinou, Abdesslam, Mazher, Moona, Meriaudeau, Fabrice, Lena, Chiara, Cintorrino, Ilaria Anita, De Paolis, Gaia Romana, Biagioli, Jessica, Grechishnikova, Daria, Jiao, Jing, Bai, Bizhe, Qiao, Yanyan, Bhattarai, Binod, Gaire, Rebati Raman, Subedi, Ronast, Vazquez, Eduard, Płotka, Szymon, Lisowska, Aneta, Sitek, Arkadiusz, Attilakos, George, Wimalasundera, Ruwan, David, Anna L, Paladini, Dario, Deprest, Jan, De Momi, Elena, Mattos, Leonardo S, Moccia, Sara, Stoyanov, Danail
Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomoses to regulate blood exchange among twins. The procedure is particular
Externí odkaz:
http://arxiv.org/abs/2206.12512
Autor:
Sagar, Rachel a, David, Anna L. a, b, ⁎
Publikováno v:
In Best Practice & Research Clinical Obstetrics & Gynaecology December 2024 97
Autor:
Fidon, Lucas, Aertsen, Michael, Kofler, Florian, Bink, Andrea, David, Anna L., Deprest, Thomas, Emam, Doaa, Guffens, Frédéric, Jakab, András, Kasprian, Gregor, Kienast, Patric, Melbourne, Andrew, Menze, Bjoern, Mufti, Nada, Pogledic, Ivana, Prayer, Daniela, Stuempflen, Marlene, Van Elslander, Esther, Ourselin, Sébastien, Deprest, Jan, Vercauteren, Tom
Deep learning models for medical image segmentation can fail unexpectedly and spectacularly for pathological cases and images acquired at different centers than training images, with labeling errors that violate expert knowledge. Such errors undermin
Externí odkaz:
http://arxiv.org/abs/2204.02779
Autor:
Bean, Elisabeth M.R. a, ∗, Knez, Jure b, Thanatsis, Nikolaos a, De Braud, Lucrezia a, Taki, Fatima a, Hirsch, Martin c, David, Anna a, Jurkovic, Davor a
Publikováno v:
In Fertility and Sterility October 2024 122(4):696-705