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Ultrasound-Guided Regional Anesthesia (UGRA) has been gaining importance in the last few years, offering numerous advantages over alternative methods of nerve localization (neurostimulation or paraesthesia).
“Ultrasound image segmentation: a survey.,”
J Alison Noble and Djamal Boukerroui, · 2006
Earlier work this paper cites.
“A fast learning algorithm for deep belief nets,”
G. E. Hinton, S. Osindero, and Y. W. Teh, · 2006
Earlier work this paper cites.
“Greedy layer-wise training of deep networks,”
Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle, · 2006
Earlier work this paper cites.
“Ultrasound-guided regional anesthesia: current concepts and future trends.,”
Peter Marhofer and Vincent W S Chan, · 2007
Earlier work this paper cites.
“Automated breast cancer detection and classification using ultrasound images: A survey,”
H.D. Cheng, Juan Shan, Wen Ju, Yanhui Guo, and Ling Zhang, · 2010
Earlier work this paper cites.
“Training on regional anesthesia—from neurostimulation to ultrasound,”
Carlos Tornero Tornero and Luis Aliaga Font, · 2012
Earlier work this paper cites.
“Imagenet classification with deep convolutional neural networks,”
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, · 2012
Earlier work this paper cites.
“Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review,”
Afsaneh Jalalian, Syamsiah B.T. Mashohor, Hajjah Rozi Mahmud, M. Iqbal B. Saripan, Abdul Rahman B. Ramli, and Babak Karasfi, · 2013
Cited alongside, same era.
“Representation learning: A review and new perspectives,”
Yoshua Bengio, Aaron Courville, and Pascal Vincent, · 2013
Cited alongside, same era.
“Phase-based probabilistic active contour for nerve detection in ultrasound images for regional anesthesia,”
A. Hafiane, P. Vieyres, and A. Delbos., · 2014
Cited alongside, same era.
“Nerve detection in ultrasound images using median gabor binary pattern,”
O. Hadjerci, A. Hafiane, P. Markis, D. Conte, P. Vieyres, and A. Delbos., · 2014
Cited alongside, same era.
“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2014
Cited alongside, same era.
“Fully convolutional networks for semantic segmentation,”
Jonathan Long, Evan Shelhamer, and Trevor Darrell, · 2015
Later among the works it cites.
“Computer-aided detection system for nerve identification using ultrasound images: A comparative study,”
Oussama Hadjerci, Adel Hafiane, Donatello Conte, Pascal Makris, Pierre Vieyres, and Alain Delbos, · 2016
Later among the works it cites.
“Assistive system based on nerve detection and needle navigation in ultrasound images for regional anesthesia,”
Oussama Hadjerci, Adel Hafiane, Nicolas Morette, Cyril Novales, Pierre Vieyres, and Alain Delbos, · 2016
Later among the works it cites.
“On-line learning dynamic models for nerve detection in ultrasound videos,”
Oussama Hadjerci, Adel Hafiane, Pierre Vieyres, Donatello Conte, Pascal Makris, and Alain Delbos, · 2016
Later among the works it cites.
“Large scale deep learning for computer aided detection of mammographic lesions,”
Thijs Kooi, Geert J. S. Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, and Nico Karssemeijer, · 2017
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“Rich feature hierarchies for accurate object detection and semantic segmentation,”
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik, · 2014
Cited alongside, same era.
“Deep learning,”
Yann Lecun, Yoshua Bengio, and Geoffrey Hinton, · 2015
Cited alongside, same era.
“Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance,”
Tuan Anh Ngo, Zhi Lu, and Gustavo Carneiro, · 2017
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