Alfonso Lagares
Orcid: 0000-0003-3996-0554
According to our database1,
Alfonso Lagares
authored at least 17 papers
between 2009 and 2023.
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Bibliography
2023
SLIMBRAIN: Augmented reality real-time acquisition and processing system for hyperspectral classification mapping with depth information for in-vivo surgical procedures.
J. Syst. Archit., 2023
Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023
Transmittance Hyperspectral Capture System and Methodology Assessment for Blood-Liquid Serum Samples Analysis.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023
Proceedings of the Design and Architecture for Signal and Image Processing, 2023
Deep Recurrent Neural Network Performing Spectral Recurrence on Hyperspectral Images for Brain Tissue Classification.
Proceedings of the Design and Architecture for Signal and Image Processing, 2023
2022
Hyperparameter Optimization for Brain Tumor Classification with Hyperspectral Images.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022
Analysis and methodology for enabling DNN inference in an IoT edge environment in depth completion tasks.
Proceedings of the 37th Conference on Design of Circuits and Integrated Systems, 2022
Exploration of Realtime Brain tumor classification from Hyperspectral Images in Heterogeneous Embedded MPSoC.
Proceedings of the 37th Conference on Design of Circuits and Integrated Systems, 2022
Proceedings of the Design and Architecture for Signal and Image Processing, 2022
2021
Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification.
Sensors, 2021
GoRG: Towards a GPU-Accelerated Multiview Hyperspectral Depth Estimation Tool for Medical Applications.
Sensors, 2021
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021
2020
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020
Multiclass Brain Tumor Classification Using Hyperspectral Imaging and Supervised Machine Learning.
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020
Hyperspectral Images Acquisition: an Efficient Capture and Processing Stitching Procedure for Medical Environments.
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020
2009
Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques.
IEEE Trans. Inf. Technol. Biomed., 2009