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Gustavo Callico

Catedrático de Universidad / Full Professor

Universidad de Las Palmas de Gran Canaria

Spain

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Research Interests

Medical Imaging

100%

Cell Biology

20%

Hyperspectral Imaging

60%

Spectral Analysis

30%

Cancer Biology

20%

Histology

20%

High-resolution Imaging

20%

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Recent Grants

Grant: Close

HypErspectraL Imaging Cancer Detection (HELICoiD)

Open Date: 2014-01-01

Close Date: 2016-12-01

Articles22

Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer

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Year:

2025

Ozone Treatment in the Management of Chemotherapy-Induced Peripheral Neuropathy: A Review of Rationale and Research Directions

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2025

Unifying Heterogeneous Hyperspectral Databases for In-Vivo Human Brain Cancer Classification: Towards Robust Algorithm Development

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2025

Regulated Power Supply with High Power Factor for Hyperspectral Imaging Applications

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2025

Unified Unsupervised Unmixing With Sparse Noise Estimation for Linear and Multilinear Models

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2025

Roadmap for the Characterization and Validation of Hyperspectral Microscopic Systems

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2025

Robust and Unified Semi-Supervised Unmixing of Hyperspectral Imaging for Linear and Multilinear Models

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2025

Blind non-linear spectral unmixing with spatial coherence for hyper and multispectral images

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Year:

2024

Publisher Correction: Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB)

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2024

Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB)

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Year:

2024

Development of a visible to 1600 nm hyperspectral imaging rigid-scope system using supercontinuum light and an acousto-optic tunable filter

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2024

Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening

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2024

Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction

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Year:

2023

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

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2023

Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges

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2023

Blur-specific image quality assessment of microscopic hyperspectral images

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2023

Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples

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2023

Feature Ranking by Variational Dropout for Classification Using Thermograms from Diabetic Foot Ulcers

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2023

Nonlinear extended blind end-member and abundance extraction for hyperspectral images

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Year:

2022

Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis

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2022

Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images

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Year:

2022

Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application

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Year:

2022

Collaborators13

Alejandro Martinez de Ternero

Universidad Politécnica de Madrid

SPAIN

Eduardo Juarez

Associate Professor

Universidad Politécnica de Madrid

SPAIN

Marianne Maktabi

Substitute professor Biomedical Information Processing

GERMANY

Manuel Villa Romero

Universidad Politécnica de Madrid

SPAIN

Claire Chalopin

Professor

HAWK University of Applied Sciences and Arts Hildesheim/Holzminden/Göttingen

GERMANY

Terje Solvoll

Professor II

Nord University

NORWAY

Francisco Javier Balea-Fernández

Profesor

Universidad de Las Palmas de Gran Canaria

SPAIN

MIGUEL CHAVARRIAS LAPASTORA

Universidad Politécnica de Madrid

SPAIN

Jose maria Cabrera

Universidad de Las Palmas de Gran Canaria

SPAIN

Juan Ruiz-Alzola

Universidad de Las Palmas de Gran Canaria

SPAIN

Bernardino Clavo

SPAIN

Ana M. Wägner

Universidad de Las Palmas de Gran Canaria

SPAIN

Cristina Soguero-Ruiz

Associate Professor

Universidad Rey Juan Carlos

SPAIN

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