Félix Fuentes-Hurtado

17 papers B 2Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Generalizable Denoising of Microscopy Images Using Generative Adversarial Networks and Contrastive Learning.
IDEAL (1)
Félix Fuentes-Hurtado, Jean-Baptiste Sibarita, Virgile Viasnoff
2024 J jnl
Long short-term memory prediction of user's locomotion in virtual reality.
Virtual Real.
Jesús Mayor, Pablo Calleja, Félix Fuentes-Hurtado
2023 — conf
Deep Learning Models for Gunshot Detection in the Albufera Natural Park.
EUSIPCO
Natalia P. García-de-la-Puente, Félix Fuentes-Hurtado, Laura Fuster, Valery Naranjo, Gema Piñero
2023 J jnl
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning.
CoRR
Félix Fuentes-Hurtado, Jean-Baptiste Sibarita, Virgile Viasnoff
2023 — conf
Predicting Room Impulse Responses Through Encoder-Decoder Convolutional Neural Networks.
MLSP
I. Martin, Fran Pastor-Naranjo, Félix Fuentes-Hurtado, Jose A. Belloch, Luis Antonio Azpicueta-Ruiz, Valery Naranjo, Gema Piñero
2022 B conf
MID3A: Microscopy Image Denoising meets Differentiable Data Augmentation.
IJCNN
Félix Fuentes-Hurtado, Tom Delaire, Florian Levet, Jean-Baptiste Sibarita, Virgile Viasnoff
2020 J jnl
2018 Robotic Scene Segmentation Challenge.
CoRR
Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel
2019 J jnl
A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images.
EURASIP J. Image Video Process.
Félix Fuentes-Hurtado, Valery Naranjo, Jose Antonio Diego-Mas, Mariano Alcañiz
2019 J jnl
CaDIS: Cataract Dataset for Image Segmentation.
CoRR
Evangello Flouty, Abdolrahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Hinde Taleb, Santiago Barbarisi, Gwenolé Quellec, Danail Stoyanov
2019 J jnl
EasyLabels: weak labels for scene segmentation in laparoscopic videos.
Int. J. Comput. Assist. Radiol. Surg.
Félix Fuentes-Hurtado, Abdolrahim Kadkhodamohammadi, Evangello Flouty, Santiago Barbarisi, Imanol Luengo, Danail Stoyanov
2018 — conf
A Holistic Automatic Method for Grouping Facial Features Based on Their Appearance.
EUSIPCO
Félix Fuentes-Hurtado, Jose Antonio Diego-Mas, Valery Naranjo, Mariano Alcañiz
2018 — conf
Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding.
IDEAL (1)
Félix Fuentes-Hurtado, Sandra Morales, José Manuel Mossi, Valery Naranjo, Vadim Fedulov, David Woldbye, Kristian Klemp, Marie Torm, Michael Larsen
2018 J jnl
EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation.
J. Parallel Distributed Comput.
Alejandro Martín, Raúl Lara-Cabrera, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho
2018 J jnl
Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces.
Complex.
Félix Fuentes-Hurtado, Jose Antonio Diego-Mas, Valery Naranjo, Mariano Alcañiz
2018 — conf
Finding the Importance of Facial Features in Social Trait Perception.
IDEAL (1)
Félix Fuentes-Hurtado, Jose Antonio Diego-Mas, Valery Naranjo, Mariano Alcañiz
2017 B conf
Evolving Deep Neural Networks architectures for Android malware classification.
CEC
Alejandro Martín, Félix Fuentes-Hurtado, Valery Naranjo, David Camacho
2016 J jnl
A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents.
Frontiers Comput. Neurosci.
Adrián Colomer Granero, Félix Fuentes-Hurtado, Valery Naranjo Ornedo, Jaime Guixeres Provinciale, José M. Ausín, Mariano Alcañiz Raya