Victoria Blanes-Vidal

18 papers Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
An explainable attention model for cervical precancer risk classification using colposcopic images.
Comput. Methods Programs Biomed.
Smith K. Khare, Berit Bargum Booth, Victoria Blanes-Vidal, Lone Kjeld Petersen, Esmaeil S. Nadimi
2024 J jnl
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection.
WIREs Data. Mining. Knowl. Discov.
Smith K. Khare, Victoria Blanes-Vidal, Berit Bargum Booth, Lone Kjeld Petersen, Esmaeil S. Nadimi
2024 J jnl
An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images.
CoRR
Smith K. Khare, Berit Bargum Booth, Victoria Blanes-Vidal, Lone Kjeld Petersen, Esmaeil S. Nadimi
2024 J jnl
Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations.
Inf. Fusion
Smith K. Khare, Victoria Blanes-Vidal, Esmaeil S. Nadimi, U. Rajendra Acharya
2024 J jnl
Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway.
CoRR
Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Emile Prudhomme, Victoria Blanes-Vidal, Gunnar Baatrup
2021 J jnl
Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy.
Artif. Intell. Medicine
Luis David Avendaño-Valencia, Knud Bonnet Yderstraede, Esmaeil S. Nadimi, Victoria Blanes-Vidal
2020 J jnl
Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy.
Comput. Electr. Eng.
Esmaeil S. Nadimi, Maria M. Buijs, Jürgen Herp, Rasmus Kroijer, Morten Kobaek-Larsen, Emilie Nielsen, Claus D. Pedersen, Victoria Blanes-Vidal, Gunnar Baatrup
2020 J jnl
Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations.
Comput. Methods Programs Biomed.
Tomás Majtner, Esmaeil S. Nadimi, Knud Bonnet Yderstraede, Victoria Blanes-Vidal
2019 — conf
On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool.
SCIA
Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi
2018 — conf
Machine learning-based colorectal cancer detection.
RACS
Victoria Blanes-Vidal, Gunnar Baatrup, Esmaeil S. Nadimi
2018 J jnl
On the ratio of independent complex Gaussian random variables.
Multidimens. Syst. Signal Process.
Esmaeil S. Nadimi, Mohammad H. Ramezani, Victoria Blanes-Vidal
2017 — conf
Texture classification from single uncalibrated images: Random matrix theory approach.
MLSP
Esmaeil S. Nadimi, Jürgen Herp, Maria M. Buijs, Victoria Blanes-Vidal
2017 — conf
Upper bound performance of semi-definite programming for localisation in inhomogeneous media.
MLSP
Esmaeil S. Nadimi, Victoria Blanes-Vidal
2015 — conf
Adaptive intra-body channel modeling of attenuation coefficient using transmission line theory.
RACS
Mohammad H. Ramezani, Victoria Blanes-Vidal, Esmaeil S. Nadimi
2014 — conf
Bayesian-based localization of wireless capsule endoscope using received signal strength.
EMBC
Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh, Per Michael Johansen
2013 — conf
Bayesian-based localization in inhomogeneous transmission media.
RACS
Esmaeil S. Nadimi, Victoria Blanes-Vidal, Per Michael Johansen
2012 — conf
Semidefinite programming-based localization algorithm in networks with inhomogeneous media.
RACS
Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh
2011 — conf
Localization of mobile nodes based on inaccurate round-trip-time measurements using Bayesian inference.
RACS
Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh