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Alfonso Lagares
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2020 – today
- 2024
- [c14]Himar Fabelo, Raquel León, Emanuele Torti, Santiago Marco, Max Verbers, Yann Falevoz, Yolanda Ramallo-Fariña, Christian Weis, Ana M. Wägner, Eduardo Juárez Martínez, Claudio Rial, Alfonso Lagares, Gustav Burström, Francesco Leporati, Elisa Marenzi, Teresa Cervero, Miquel Moretó, Giovanni Danese, Sveta Zinger, Francesca Manni, Maria Luisa Alvarez-Male, Jesús Morera, Bernardino Clavo, Gustavo M. Callicó, Stratum Consortium:
3D Decision Support Tool for Brain Tumour Surgery: The STRATUM Project. DSD 2024: 443-450 - [i1]Jaime Sancho, Manuel Villa, Miguel Chavarrías, Eduardo Juárez, Alfonso Lagares, César Sanz:
SLIMBRAIN: Augmented Reality Real-Time Acquisition and Processing System For Hyperspectral Classification Mapping with Depth Information for In-Vivo Surgical Procedures. CoRR abs/2404.00048 (2024) - 2023
- [j4]Jaime Sancho
, Manuel Villa
SLIMBRAIN: Augmented reality real-time acquisition and processing system for hyperspectral classification mapping with depth information for in-vivo surgical procedures. J. Syst. Archit. 140: 102893 (2023) - [c13]Pedro L. Cebrián
Deep Recurrent Neural Network Performing Spectral Recurrence on Hyperspectral Images for Brain Tissue Classification. DASIP 2023: 15-27 - [c12]Guillermo Vázquez
Brain Blood Vessel Segmentation in Hyperspectral Images Through Linear Operators. DASIP 2023: 28-39 - [c11]Gonzalo Rosa, Cristina Sánchez Carabias, Victoria Cunha Alves
Transmittance Hyperspectral Capture System and Methodology Assessment for Blood-Liquid Serum Samples Analysis. DSD 2023: 485-492 - [c10]Guillermo Vázquez, Alberto Martín-Pérez, Manuel Villa, Jaime Sancho, Gonzalo Rosa, Pedro L. Cebrián, Pallab Sutradhar, Alejandro Martinez de Ternero, Angel Perez-Nuñez, Luis Jimenez-Roldan, Alfonso Lagares, Miguel Chavarrías, Eduardo Juárez, César Sanz:
Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection. MetroXRAINE 2023: 272-277 - 2022
- [c9]Manuel Villa
Data-Type Assessment for Real-Time Hyperspectral Classification in Medical Imaging. DASIP 2022: 123-135 - [c8]Pallab Sutradhar, Jaime Sancho
Exploration of Realtime Brain tumor classification from Hyperspectral Images in Heterogeneous Embedded MPSoC. DCIS 2022: 1-6 - [c7]Alejandro Martinez de Ternero
Analysis and methodology for enabling DNN inference in an IoT edge environment in depth completion tasks. DCIS 2022: 1-6 - [c6]Alberto Martín-Pérez
Hyperparameter Optimization for Brain Tumor Classification with Hyperspectral Images. DSD 2022: 835-842 - 2021
- [j3]Gemma Urbanos
Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification. Sensors 21(11): 3827 (2021) - [j2]Jaime Sancho
GoRG: Towards a GPU-Accelerated Multiview Hyperspectral Depth Estimation Tool for Medical Applications. Sensors 21(12): 4091 (2021) - [c5]Jaime Sancho
An Embedded GPU Accelerated Hyperspectral Video Classification System in Real-Time. DCIS 2021: 1-6 - [c4]Manuel Villa
Stitching technique based on SURF for Hyperspectral Pushbroom Linescan Cameras. DCIS 2021: 1-6 - 2020
- [c3]Gonzalo Rosa
Hyperspectral Images Acquisition: an Efficient Capture and Processing Stitching Procedure for Medical Environments. DCIS 2020: 1-6 - [c2]Luisa Ruiz
Multiclass Brain Tumor Classification Using Hyperspectral Imaging and Supervised Machine Learning. DCIS 2020: 1-6 - [c1]Jaime Sancho
Towards GPU Accelerated HyperSpectral Depth Estimation in Medical Applications. DCIS 2020: 1-6
2000 – 2009
- 2009
- [j1]Paula de Toledo
Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. IEEE Trans. Inf. Technol. Biomed. 13(5): 794-801 (2009)
Coauthor Index
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