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Angelica I Aviles

Showing results (1-10 of 28) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Unconstrained ℓ1-regularized minimization with interpolated transformations for heart motion compensationAngelica I Aviles, Pilar Sobrevilla, Alicia Casals
International Journal of Computer Assisted Radiology and Surgery|January 20, 2018
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactionsAngelica I Aviles-Rivero, Samar M Alsaleh, Alicia Casals
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound dataAngelica I Aviles, Thomas Widlak, Alicia Casals, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 22, 2022
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised ClassificationPhilip Sellars, Angelica I Aviles-Rivero, Carola-Bibiane Schonlieb
IEEE Transactions on Neural Networks and Learning Systems|November 20, 2023
Contrastive Registration for Unsupervised Medical Image SegmentationLihao Liu, Angelica I Aviles-Rivero, Carola-Bibiane Schonlieb
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgeryAngelica I Aviles, Samar M Alsaleh, Pilar Sobrevilla, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 17, 2019
ReTouchImg: Fusioning from-local-to-global context detection and graph data structures for fully-automatic specular reflection removal for endoscopic imagesSamar M Alsaleh, Angelica I Aviles-Rivero, James K Hahn
Medical Image Analysis|December 30, 2020
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstructionJiulong Liu, Angelica I Aviles-Rivero, Hui Ji, et al.
Pattern Recognition|August 31, 2021
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-raysAngelica I Aviles-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, et al.
IEEE Transactions on Haptics|January 24, 2017
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision ApproachAngelica I Aviles, Samar M Alsaleh, James K Hahn, et al.
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Showing results (1-10 of 28) with videos related to

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Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Unconstrained ℓ1-regularized minimization with interpolated transformations for heart motion compensationAngelica I Aviles, Pilar Sobrevilla, Alicia Casals
International Journal of Computer Assisted Radiology and Surgery|January 20, 2018
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactionsAngelica I Aviles-Rivero, Samar M Alsaleh, Alicia Casals
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound dataAngelica I Aviles, Thomas Widlak, Alicia Casals, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 22, 2022
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised ClassificationPhilip Sellars, Angelica I Aviles-Rivero, Carola-Bibiane Schonlieb
IEEE Transactions on Neural Networks and Learning Systems|November 20, 2023
Contrastive Registration for Unsupervised Medical Image SegmentationLihao Liu, Angelica I Aviles-Rivero, Carola-Bibiane Schonlieb
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgeryAngelica I Aviles, Samar M Alsaleh, Pilar Sobrevilla, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 17, 2019
ReTouchImg: Fusioning from-local-to-global context detection and graph data structures for fully-automatic specular reflection removal for endoscopic imagesSamar M Alsaleh, Angelica I Aviles-Rivero, James K Hahn
Medical Image Analysis|December 30, 2020
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstructionJiulong Liu, Angelica I Aviles-Rivero, Hui Ji, et al.
Pattern Recognition|August 31, 2021
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-raysAngelica I Aviles-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, et al.
IEEE Transactions on Haptics|January 24, 2017
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision ApproachAngelica I Aviles, Samar M Alsaleh, James K Hahn, et al.
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