Author |
Title |
Year |
Publication |
Volume |
Pages |
Mireia Sole; Joan Blanco; Debora Gil; Oliver Valero; B. Cardenas; G. Fonseka; E. Anton; Alvaro Pascual; Richard Frodsham; Zaida Sarrate |
Time to match; when do homologous chromosomes become closer? |
2022 |
Chromosoma |
|
|
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 |
Enric Marti; Carme Julia; Debora Gil |
A PBL Experience in the Teaching of Computer Graphics |
2006 |
Computer Graphics Forum |
25 |
95-103 |
Sergio Escalera; Ana Puig; Oscar Amoros; Maria Salamo |
Intelligent GPGPU Classification in Volume Visualization: a framework based on Error-Correcting Output Codes |
2011 |
Computer Graphics Forum |
30 |
2107-2115 |
Danna Xue; Javier Vazquez; Luis Herranz; Yang Zhang; Michael S Brown |
Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring |
2023 |
Computer Graphics Forum |
|
|
Naila Murray; Sandra Skaff; Luca Marchesotti; Florent Perronnin |
Towards automatic and flexible concept transfer |
2012 |
Computers and Graphics |
36 |
622–634 |
Egils Avots; M. Daneshmanda; Andres Traumann; Sergio Escalera; G. Anbarjafaria |
Automatic garment retexturing based on infrared information |
2016 |
Computers & Graphics |
59 |
28-38 |
Oscar Argudo; Marc Comino; Antonio Chica; Carlos Andujar; Felipe Lumbreras |
Segmentation of aerial images for plausible detail synthesis |
2018 |
Computers & Graphics |
71 |
23-34 |
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 |
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 |