Zobrazeno 1 - 10
of 2 423
pro vyhledávání: '"Deprest Jan"'
Autor:
Williams, Helena, Pedrosa, João, Asad, Muhammad, Cattani, Laura, Vercauteren, Tom, Deprest, Jan, D'hooge, Jan
Deep learning-based automatic segmentation methods have become state-of-the-art. However, they are often not robust enough for direct clinical application, as domain shifts between training and testing data affect their performance. Failure in automa
Externí odkaz:
http://arxiv.org/abs/2309.02335
Autor:
Asad, Muhammad, Williams, Helena, Mandal, Indrajeet, Ather, Sarim, Deprest, Jan, D'hooge, Jan, Vercauteren, Tom
Existing interactive segmentation methods leverage automatic segmentation and user interactions for label refinement, significantly reducing the annotation workload compared to manual annotation. However, these methods lack quick adaptability to ambi
Externí odkaz:
http://arxiv.org/abs/2303.13696
Autor:
Zhang, Yitong, Bano, Sophia, Page, Ann-Sophie, Deprest, Jan, Stoyanov, Danail, Vasconcelos, Francisco
In minimally invasive surgery, surgical workflow segmentation from video analysis is a well studied topic. The conventional approach defines it as a multi-class classification problem, where individual video frames are attributed a surgical phase lab
Externí odkaz:
http://arxiv.org/abs/2208.00902
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:
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:
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:
Basurto, David, Watananirun, Kanokwaroon, Cordier, Anne-Gael, Otaño, Juan, Carriere, Diane, Scuglia, Marianna, de Luna Freire Vargas, Anna Moraes, Prat, Jordi, Russo, Francesca Maria, Debeer, Anne, Peralta, Cleisson Fábio Andrioli, De Coppi, Paolo, Gratacós, Eduard, Benachi, Alexandra, Deprest, Jan *
Publikováno v:
In The Lancet Child & Adolescent Health August 2024 8(8):580-588
Autor:
Fidon, Lucas, Aertsen, Michael, Shit, Suprosanna, Demaerel, Philippe, Ourselin, Sébastien, Deprest, Jan, Vercauteren, Tom
This paper describes our method for our participation in the FeTA challenge2021 (team name: TRABIT). The performance of convolutional neural networks for medical image segmentation is thought to correlate positively with the number of training data.
Externí odkaz:
http://arxiv.org/abs/2111.02408
Autor:
Williams, Helena, Pedrosa, João, Cattani, Laura, Housmans, Susanne, Vercauteren, Tom, Deprest, Jan, D'hooge, Jan
Publikováno v:
MICCAI 2021. Lecture Notes in Computer Science, vol 12901. Springer, Cham
Automatic medical image segmentation via convolutional neural networks (CNNs) has shown promising results. However, they may not always be robust enough for clinical use. Sub-optimal segmentation would require clinician's to manually delineate the ta
Externí odkaz:
http://arxiv.org/abs/2110.12939
Autor:
Delameilleure, Mieke, Timmerman, Stefan, Vandoren, Cindy, Ledger, Ashleigh, Vansteenkiste, Nancy, Dewilde, Kobe, Page, Ann-Sophie, Housmans, Susanne, Van den Bosch, Thierry, Deprest, Jan, Froyman, Wouter
Publikováno v:
In European Journal of Obstetrics & Gynecology and Reproductive Biology October 2024 301:105-113