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Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

Fuente: arXiv
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Bibliographic Details
Main Authors: Zalevskyi, Vladyslav, Sanchez, Thomas, Kaandorp, Misha, Roulet, Margaux, Fajardo-Rojas, Diego, Li, Liu, Hutter, Jana, Li, Hongwei Bran, Barkovich, Matthew, Ji, Hui, Wilhelmi, Luca, Dändliker, Aline, Steger, Céline, Koob, Mériam, Gomez, Yvan, Jakovčić, Anton, Klaić, Melita, Adžić, Ana, Marković, Pavel, Grabarić, Gracia, Rados, Milan, Verdera, Jordina Aviles, Kasprian, Gregor, Dovjak, Gregor, Gaubert-Rachmühl, Raphael, Aschwanden, Maurice, Zeng, Qi, Karimi, Davood, Peruzzo, Denis, Ciceri, Tommaso, Longari, Giorgio, Hamadache, Rachika E., Bouzid, Amina, Lladó, Xavier, Chiarella, Simone, Martí-Juan, Gerard, Ballester, Miguel Ángel González, Castellaro, Marco, Pinamonti, Marco, Visani, Valentina, Cremese, Robin, Sam, Keïn, Gaudfernau, Fleur, Ahir, Param, Parikh, Mehul, Zenk, Maximilian, Baumgartner, Michael, Maier-Hein, Klaus, Tianhong, Li, Hong, Yang, Longfei, Zhao, Preloznik, Domen, Špiclin, Žiga, Choi, Jae Won, Li, Muyang, Fu, Jia, Wang, Guotai, Jiang, Jingwen, Tong, Lyuyang, Du, Bo, Gondova, Andrea, You, Sungmin, Im, Kiho, Qayyum, Abdul, Mazher, Moona, Niederer, Steven A, Jakab, Andras, Licandro, Roxane, Payette, Kelly, Cuadra, Meritxell Bach
Format: Preprint
Published: 2025
Subjects:
Computer Vision and Pattern Recognition
Online Access:
Acceder al recurso
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