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Petia Radeva

Showing results (1-10 of 83) with videos related to

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Studies in Health Technology and Informatics|June 1, 2005
On the assessment of texture feature descriptors in intravascular ultrasound images: a boosting approach to a feasible plaque classificationOriol Pujol, Petia Radeva
Studies in Health Technology and Informatics|June 1, 2005
Medical image retrieval based on plaque appearance and image registrationJaume Amores, Petia Radeva
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 16, 2004
A regularized curvature flow designed for a selective shape restorationDebora Gil, Petia Radeva
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 21, 2009
On the decoding process in ternary error-correcting output codesSergio Escalera, Oriol Pujol, Petia Radeva
Computers in Biology and Medicine|June 25, 2022
Uncertainty-aware selecting for an ensemble of deep food recognition modelsEduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 27, 2006
Discriminant ECOC: a heuristic method for application dependent design of error correcting output codesOriol Pujol, Petia Radeva, Jordi Vitrià
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Meta-Parameter Free Unsupervised Sparse Feature LearningAdriana Romero, Petia Radeva, Carlo Gatta
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 19, 2007
Context-based object-class recognition and retrieval by generalized correlogramsJaume Amores, Nicu Sebe, Petia Radeva
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|March 24, 2009
Automatic detection of bioabsorbable coronary stents in IVUS images using a cascade of classifiersDavid Rotger, Petia Radeva, Nico Bruining
Computer Methods and Programs in Biomedicine|November 1, 2020
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentationGiuseppe Pezzano, Vicent Ribas Ripoll, Petia Radeva
Pageof 9

Showing results (1-10 of 83) with videos related to

Sort By:
Pageof 9
Studies in Health Technology and Informatics|June 1, 2005
On the assessment of texture feature descriptors in intravascular ultrasound images: a boosting approach to a feasible plaque classificationOriol Pujol, Petia Radeva
Studies in Health Technology and Informatics|June 1, 2005
Medical image retrieval based on plaque appearance and image registrationJaume Amores, Petia Radeva
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 16, 2004
A regularized curvature flow designed for a selective shape restorationDebora Gil, Petia Radeva
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 21, 2009
On the decoding process in ternary error-correcting output codesSergio Escalera, Oriol Pujol, Petia Radeva
Computers in Biology and Medicine|June 25, 2022
Uncertainty-aware selecting for an ensemble of deep food recognition modelsEduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 27, 2006
Discriminant ECOC: a heuristic method for application dependent design of error correcting output codesOriol Pujol, Petia Radeva, Jordi Vitrià
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Meta-Parameter Free Unsupervised Sparse Feature LearningAdriana Romero, Petia Radeva, Carlo Gatta
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 19, 2007
Context-based object-class recognition and retrieval by generalized correlogramsJaume Amores, Nicu Sebe, Petia Radeva
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|March 24, 2009
Automatic detection of bioabsorbable coronary stents in IVUS images using a cascade of classifiersDavid Rotger, Petia Radeva, Nico Bruining
Computer Methods and Programs in Biomedicine|November 1, 2020
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentationGiuseppe Pezzano, Vicent Ribas Ripoll, Petia Radeva
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