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Raul Benitez
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2020 – today
- 2024
- [j10]Shankara Narayanan V, O. K. Sikha, Raul Benitez:
IARS SegNet: Interpretable Attention Residual Skip Connection SegNet for Melanoma Segmentation. IEEE Access 12: 126122-126134 (2024) - [j9]R. T. Akash Guna, O. K. Sikha, Raul Benitez:
Interpreting CNN predictions using conditional Generative Adversarial Networks. Knowl. Based Syst. 302: 112340 (2024) - [j8]William Philipp, R. Yashwanthika, O. K. Sikha, Raul Benitez:
Generation of Rule-Based Explanations of CNN Classifiers Using Regional Features. Neural Process. Lett. 56(5): 230 (2024) - [c8]O. K. Sikha, Raul Benitez:
Deep Feature Discriminability as a Diagnostic Measure of Overfitting in CNN Models. SAI (1) 2024: 218-233 - 2023
- [j7]V. A. Ashwath, O. K. Sikha, Raul Benitez:
TS-CNN: A Three-Tier Self-Interpretable CNN for Multi-Region Medical Image Classification. IEEE Access 11: 78402-78418 (2023) - [j6]David Rabanaque, Maria Regalado, Raul Benitez, Sonia Rabanaque, Thais Agut, Nuria Carreras, Christian Mata:
Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images. J. Imaging 9(7): 145 (2023) - [c7]Akash Guna R. T., Raul Benitez, O. K. Sikha:
Ante-Hoc Generation of Task-Agnostic Interpretation Maps. CVPR Workshops 2023: 3764-3769 - [i2]Akash Guna R. T., Raul Benitez, O. K. Sikha:
Interpreting CNN Predictions using Conditional Generative Adversarial Networks. CoRR abs/2301.08067 (2023) - [i1]Shankara Narayanan V, O. K. Sikha, Raul Benitez:
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation. CoRR abs/2310.20292 (2023) - 2022
- [j5]Christian Mata, Josep Munuera, Alain Lalande, Gilberto Ochoa-Ruiz, Raul Benitez:
MedicalSeg: A Medical GUI Application for Image Segmentation Management. Algorithms 15(6): 200 (2022)
2010 – 2019
- 2017
- [c6]Ferran Noya, Marco Antonio Álvarez-González, Raul Benitez:
Automated angiodysplasia detection from wireless capsule endoscopy. EMBC 2017: 3158-3161 - [c5]Alex Vallmitjana, Azahara Civera-Tregon, Janet Hoenicka, Francesc Palau, Raul Benitez:
Motion estimation of subcellular structures from fluorescence microscopy images. EMBC 2017: 4419-4422 - 2016
- [j4]Mahdieh Askarian, Raul Benitez, Moisès Graells, Reza Zarghami:
Data-based fault detection in chemical processes: Managing records with operator intervention and uncertain labels. Expert Syst. Appl. 63: 35-48 (2016) - 2015
- [c4]Alex Vallmitjana, Carme Nolla, Adela Herraiz-Martinez, Leif Hove-Madsen, Raul Benitez:
Spatial localization of ryanodine receptors in human cardiac cells. EMBC 2015: 6297-6300 - 2013
- [c3]Alex Vallmitjana, M. Barriga, Leif Hove-Madsen, Raul Benitez:
Multilevel analysis of calcium dynamics in stimulated cultures of cardiomyocytes. EMBC 2013: 6514-6517 - 2012
- [j3]Isaac Monroy, Raul Benitez, Gerard Escudero, Moisès Graells:
Enhanced plant fault diagnosis based on the characterization of transient stages. Comput. Chem. Eng. 37: 200-213 (2012) - 2011
- [c2]Sergi Perez, Raul Benitez, David J. Reinkensmeyer:
Smart calibration for video game play by people with a movement impairment. EMBC 2011: 6741-6744 - [c1]Samir Kanaan-Izquierdo, Susana Velázquez, Raul Benitez:
Identification of nonlinear cardiac cell dynamics using radial basis function regression. EMBC 2011: 6833-6836 - 2010
- [j2]Isaac Monroy, Raul Benitez, Gerard Escudero, Moisès Graells:
A semi-supervised approach to fault diagnosis for chemical processes. Comput. Chem. Eng. 34(5): 631-642 (2010)
2000 – 2009
- 2008
- [j1]Raul Benitez, Zoran Nenadic:
Robust Unsupervised Detection of Action Potentials With Probabilistic Models. IEEE Trans. Biomed. Eng. 55(4): 1344-1354 (2008)
Coauthor Index
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