Author |
Title |
Year |
Publication |
Volume |
Pages |
Mireia Sole; Joan Blanco; Debora Gil; G. Fonseka; Richard Frodsham; Oliver Valero; Francesca Vidal; Zaida Sarrate |
Análisis 3d de la territorialidad cromosómica en células espermatogénicas: explorando la infertilidad desde un nuevo prisma |
2017 |
Revista Asociación para el Estudio de la Biología de la Reproducción |
22 |
105 |
Katerine Diaz; Aura Hernandez-Sabate; Antonio Lopez |
A reduced feature set for driver head pose estimation |
2016 |
Applied Soft Computing |
45 |
98-107 |
Oriol Ramos Terrades; Albert Berenguel; Debora Gil |
A Flexible Outlier Detector Based on a Topology Given by Graph Communities |
2022 |
Big Data Research |
29 |
100332 |
Laura Igual; Joan Carles Soliva; Antonio Hernandez; Sergio Escalera; Xavier Jimenez ; Oscar Vilarroya; Petia Radeva |
A fully-automatic caudate nucleus segmentation of brain MRI: Application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder |
2011 |
BioMedical Engineering Online |
10 |
1-23 |
Marc Oliu; Ciprian Corneanu; Kamal Nasrollahi; Olegs Nikisins; Sergio Escalera; Yunlian Sun; Haiqing Li; Zhenan Sun; Thomas B. Moeslund; Modris Greitans |
Improved RGB-D-T based Face Recognition |
2016 |
IET Biometrics |
5 |
297 - 303 |
Ajian Liu; Xuan Li; Jun Wan; Yanyan Liang; Sergio Escalera; Hugo Jair Escalante; Meysam Madadi; Yi Jin; Zhuoyuan Wu; Xiaogang Yu; Zichang Tan; Qi Yuan; Ruikun Yang; Benjia Zhou; Guodong Guo; Stan Z. Li |
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review |
2020 |
IET Biometrics |
10 |
24-43 |
David Roche; Debora Gil; Jesus Giraldo |
Mechanistic analysis of the function of agonists and allosteric modulators: Reconciling two-state and operational models |
2013 |
British Journal of Pharmacology |
169 |
1189-202 |
Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde |
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain |
2021 |
Biomedical Signal Processing and Control |
68 |
102535 |
Frederic Sampedro; Sergio Escalera; Anna Domenech; Ignasi Carrio |
A computational framework for cancer response assessment based on oncological PET-CT scans |
2014 |
Computers in Biology and Medicine |
55 |
92–99 |
Michal Drozdzal; Santiago Segui; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
Motility bar: a new tool for motility analysis of endoluminal videos |
2015 |
Computers in Biology and Medicine |
65 |
320-330 |
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 |
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 |
Giuseppe Pezzano; Oliver Diaz; Vicent Ribas Ripoll; Petia Radeva |
CoLe-CNN+: Context learning – Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation |
2021 |
Computers in Biology and Medicine |
136 |
104689 |
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 |
Eduardo Aguilar; Bhalaji Nagarajan; Beatriz Remeseiro; Petia Radeva |
Bayesian deep learning for semantic segmentation of food images |
2022 |
Computers and Electrical Engineering |
103 |
108380 |