Author |
Title |
Year |
Publication |
Volume |
Pages |
Razieh Rastgoo; Kourosh Kiani; Sergio Escalera |
Sign Language Recognition: A Deep Survey |
2021 |
Expert Systems With Applications |
164 |
113794 |
Joan Serrat; Felipe Lumbreras; Francisco Blanco; Manuel Valiente; Montserrat Lopez-Mesas |
myStone: A system for automatic kidney stone classification |
2017 |
Expert Systems with Applications |
89 |
41-51 |
Idoia Ruiz; Bogdan Raducanu; Rakesh Mehta; Jaume Amores |
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation |
2020 |
Engineering Applications of Artificial Intelligence |
87 |
103309 |
Yaxing Wang; Abel Gonzalez-Garcia; Luis Herranz; Joost Van de Weijer |
Controlling biases and diversity in diverse image-to-image translation |
2021 |
Computer Vision and Image Understanding |
202 |
103082 |
Stefan Lonn; Petia Radeva; Mariella Dimiccoli |
Smartphone picture organization: A hierarchical approach |
2019 |
Computer Vision and Image Understanding |
187 |
102789 |
Aymen Azaza; Joost Van de Weijer; Ali Douik; Marc Masana |
Context Proposals for Saliency Detection |
2018 |
Computer Vision and Image Understanding |
174 |
1-11 |
Maedeh Aghaei; Mariella Dimiccoli; C. Canton-Ferrer; Petia Radeva |
Towards social pattern characterization from egocentric photo-streams |
2018 |
Computer Vision and Image Understanding |
171 |
104-117 |
Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera; Huamin Ren; Thomas B. Moeslund; Elham Etemad |
Locality Regularized Group Sparse Coding for Action Recognition |
2017 |
Computer Vision and Image Understanding |
158 |
106-114 |
Mariella Dimiccoli; Marc Bolaños; Estefania Talavera; Maedeh Aghaei; Stavri G. Nikolov; Petia Radeva |
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation |
2017 |
Computer Vision and Image Understanding |
155 |
55-69 |
Juan Jose Rubio; Takahiro Kashiwa; Teera Laiteerapong; Wenlong Deng; Kohei Nagai; Sergio Escalera; Kotaro Nakayama; Yutaka Matsuo; Helmut Prendinger |
Multi-class structural damage segmentation using fully convolutional networks |
2019 |
Computers in Industry |
112 |
103121 |
Sumit K. Banchhor; Narendra D. Londhe; Tadashi Araki; Luca Saba; Petia Radeva; Narendra N. Khanna; Jasjit S. Suri |
Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review. |
2018 |
Computers in Biology and Medicine |
101 |
184-198 |
Santiago Segui; Michal Drozdzal; Guillem Pascual; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
Generic Feature Learning for Wireless Capsule Endoscopy Analysis |
2016 |
Computers in Biology and Medicine |
79 |
163-172 |
Henry Velesaca; Patricia Suarez; Raul Mira; Angel Sappa |
Computer Vision based Food Grain Classification: a Comprehensive Survey |
2021 |
Computers and Electronics in Agriculture |
187 |
106287 |
Giuseppe Pezzano; Vicent Ribas Ripoll; Petia Radeva |
CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation |
2021 |
Computer Methods and Programs in Biomedicine |
198 |
105792 |
Marta Diez-Ferrer; Debora Gil; Elena Carreño; Susana Padrones; Samantha Aso; Vanesa Vicens; Cubero Noelia; Rosa Lopez Lisbona; Carles Sanchez; Agnes Borras; Antoni Rosell |
Positive Airway Pressure-Enhanced CT to Improve Virtual Bronchoscopic Navigation |
2016 |
Chest Journal |
150 |
1003A |