Zobrazeno 1 - 10
of 2 616
pro vyhledávání: '"Herrera Luis"'
Autor:
Ghaiedi, Homa, Herrera, Luis Carlos Pinzon, Alshafeay, Saja, Harris, Leonard, Almodovar, Jorge, Nayani, Karthik
Collagen is a key component of the extracellular matrix and well-oriented domains of collagen are relevant for mimicking the local cell environment in vitro. While there has been significant attention directed towards the alignment of collagen, forma
Externí odkaz:
http://arxiv.org/abs/2405.02948
Deep neural networks for medical image segmentation often produce overconfident results misaligned with empirical observations. Such miscalibration, challenges their clinical translation. We propose to use marginal L1 average calibration error (mL1-A
Externí odkaz:
http://arxiv.org/abs/2403.06759
Autor:
Wei, Meng, Budd, Charlie, Garcia-Peraza-Herrera, Luis C., Dorent, Reuben, Shi, Miaojing, Vercauteren, Tom
Surgical instrument segmentation is recognised as a key enabler to provide advanced surgical assistance and improve computer assisted interventions. In this work, we propose SegMatch, a semi supervised learning method to reduce the need for expensive
Externí odkaz:
http://arxiv.org/abs/2308.05232
Autor:
Liu, Yang, Boels, Maxence, Garcia-Peraza-Herrera, Luis C., Vercauteren, Tom, Dasgupta, Prokar, Granados, Alejandro, Ourselin, Sebastien
Online surgical phase recognition plays a significant role towards building contextual tools that could quantify performance and oversee the execution of surgical workflows. Current approaches are limited since they train spatial feature extractors u
Externí odkaz:
http://arxiv.org/abs/2305.08989
Autor:
Garcia-Peraza-Herrera, Luis C., Horgan, Conor, Ourselin, Sebastien, Ebner, Michael, Vercauteren, Tom
Visual discrimination of clinical tissue types remains challenging, with traditional RGB imaging providing limited contrast for such tasks. Hyperspectral imaging (HSI) is a promising technology providing rich spectral information that can extend far
Externí odkaz:
http://arxiv.org/abs/2303.08252