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Victoria Blanes-Vidal
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2020 – today
- 2024
- [j5]Smith K. Khare, Victoria Blanes-Vidal, Esmaeil S. Nadimi, U. Rajendra Acharya:
Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations. Inf. Fusion 102: 102019 (2024) - [i1]Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Emile Prudhomme, Victoria Blanes-Vidal, Gunnar Baatrup:
Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway. CoRR abs/2406.09761 (2024) - 2021
- [j4]Luis David Avendaño-Valencia, Knud Bonnet Yderstraede, Esmaeil S. Nadimi, Victoria Blanes-Vidal:
Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy. Artif. Intell. Medicine 114: 102050 (2021) - 2020
- [j3]Esmaeil S. Nadimi, Maria M. Buijs, Jürgen Herp, Rasmus Kroijer, Morten Kobaek-Larsen, Emilie Nielsen, Claus D. Pedersen, Victoria Blanes-Vidal, Gunnar Baatrup:
Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. Comput. Electr. Eng. 81: 106531 (2020) - [j2]Tomás Majtner, Esmaeil S. Nadimi, Knud Bonnet Yderstraede, Victoria Blanes-Vidal:
Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations. Comput. Methods Programs Biomed. 196: 105619 (2020)
2010 – 2019
- 2019
- [c9]Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi:
On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. SCIA 2019: 439-451 - 2018
- [j1]Esmaeil S. Nadimi, Mohammad H. Ramezani, Victoria Blanes-Vidal:
On the ratio of independent complex Gaussian random variables. Multidimens. Syst. Signal Process. 29(4): 1553-1561 (2018) - [c8]Victoria Blanes-Vidal, Gunnar Baatrup, Esmaeil S. Nadimi:
Machine learning-based colorectal cancer detection. RACS 2018: 43-46 - 2017
- [c7]Esmaeil S. Nadimi, Victoria Blanes-Vidal:
Upper bound performance of semi-definite programming for localisation in inhomogeneous media. MLSP 2017: 1-6 - [c6]Esmaeil S. Nadimi, Jürgen Herp, Maria M. Buijs, Victoria Blanes-Vidal:
Texture classification from single uncalibrated images: Random matrix theory approach. MLSP 2017: 1-6 - 2015
- [c5]Mohammad H. Ramezani, Victoria Blanes-Vidal, Esmaeil S. Nadimi:
Adaptive intra-body channel modeling of attenuation coefficient using transmission line theory. RACS 2015: 237-241 - 2014
- [c4]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh, Per Michael Johansen:
Bayesian-based localization of wireless capsule endoscope using received signal strength. EMBC 2014: 5988-5991 - 2013
- [c3]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Per Michael Johansen:
Bayesian-based localization in inhomogeneous transmission media. RACS 2013: 226-231 - 2012
- [c2]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh:
Semidefinite programming-based localization algorithm in networks with inhomogeneous media. RACS 2012: 191-196 - 2011
- [c1]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh:
Localization of mobile nodes based on inaccurate round-trip-time measurements using Bayesian inference. RACS 2011: 152-157
Coauthor Index
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last updated on 2024-07-25 20:22 CEST by the dblp team
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