| Author |
Title |
Year |
Publication  |
Volume |
Pages |
| L. Calvet; A. Ferrer; M. Gomes; A. Juan; David Masip |
Combining Statistical Learning with Metaheuristics for the Multi-Depot Vehicle Routing Problem with Market Segmentation |
2016 |
Computers & Industrial Engineering |
94 |
93-104 |
| Eduardo Aguilar; Bhalaji Nagarajan; Beatriz Remeseiro; Petia Radeva |
Bayesian deep learning for semantic segmentation of food images |
2022 |
Computers and Electrical Engineering |
103 |
108380 |
| 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 |
| Felipe Lumbreras; Joan Serrat |
Segmentation of petrographical images of marbles |
1996 |
Computers and Geosciences. 22(5):547–558 |
|
|
| Naila Murray; Sandra Skaff; Luca Marchesotti; Florent Perronnin |
Towards automatic and flexible concept transfer |
2012 |
Computers and Graphics |
36 |
622–634 |
| 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 |
| Jaume Garcia; Joel Barajas; Francesc Carreras; Sandra Pujades; Petia Radeva |
An intuitive validation technique to compare local versus global tagged MRI analysis |
2005 |
Computers In Cardiology |
32 |
29–32 |
| David Rotger; Misael Rosales; Jaume Garcia; Oriol Pujol ; Josefina Mauri; Petia Radeva |
Active Vessel: A New Multimedia Workstation for Intravascular Ultrasound and Angiography Fusion |
2003 |
Computers in Cardiology |
30 |
65-68 |
| Karla Lizbeth Caballero; Joel Barajas; Oriol Pujol; J. Mauri; Petia Radeva |
Using Radio Frequency Reconstructed IVUS Images in Tissue Classification |
2006 |
Computers in Cardiology (CiC´06), 33: 533–536 |
|
|
| David Rotger; Petia Radeva; O. Rodriguez |
Vessel Tortuosity Extraction from IVUS Images |
2006 |
Computers in Cardiology (CiC´06), 33: 689–692 |
|
|
| Craig Von Land; V. Lashin; A. Oriol; Juan J. Villanueva |
Object-oriented Design of the DICOM Standard and its Application to Cardiovascular Imaging. |
1997 |
Computers in Cardiology 1997. Piscataway, NJ: IEEE Computer Society Press,24: 645–8. |
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