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pro vyhledávání: '"Ma YingLiang"'
Biomedical image segmentation plays a vital role in diagnosis of diseases across various organs. Deep learning-based object detection methods are commonly used for such segmentation. There exists an extensive research in this topic. However, there is
Externí odkaz:
http://arxiv.org/abs/2408.03393
Autor:
Chen Zhong, Relan Jatin, Schulze Walther H, Karim Rashed, Sohal Manav, Shetty Anoop, Ma YingLiang, Ayache Nicholas, Sermesant Maxime, Delingette Herve, Bostock Julian, Razavi Reza, Rhode Kawal, Rinaldi Aldo
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p P64 (2013)
Externí odkaz:
https://doaj.org/article/2c110d3e0e7e47dca532cc20bdf2b378
Autor:
Mehta, Vishal S., Ma, YingLiang, Wijesuriya, Nadeev, DeVere, Felicity, Howell, Sandra, Elliott, Mark K., Mannkakara, Nilanka N., Hamakarim, Tatiana, Wong, Tom, O’Brien, Hugh, Niederer, Steven, Razavi, Reza, Rinaldi, Christopher A.
Publikováno v:
In Heart Rhythm June 2024 21(6):919-928
Autor:
Nguyen, Anh, Kundrat, Dennis, Dagnino, Giulio, Chi, Wenqiang, Abdelaziz, Mohamed E. M. K., Guo, Yao, Ma, YingLiang, Kwok, Trevor M. Y., Riga, Celia, Yang, Guang-Zhong
Accurate real-time catheter segmentation is an important pre-requisite for robot-assisted endovascular intervention. Most of the existing learning-based methods for catheter segmentation and tracking are only trained on small-scale datasets or synthe
Externí odkaz:
http://arxiv.org/abs/2006.09117
Publikováno v:
In Powder Technology October 2022 411
Publikováno v:
In Journal of Drug Delivery Science and Technology February 2022 68
Publikováno v:
In Powder Technology 15 January 2020 360:444-451
Akademický článek
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Publikováno v:
In European Journal of Pharmaceutical Sciences 1 January 2018 111:383-392
Publikováno v:
In Particuology April 2017 31:1-7