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Proceedings of Spie--The International Society for Optical Engineering
|
August 27, 2019
Surgical Aid Visualization System for Glioblastoma Tumor Identification based on Deep Learning and <i>In-Vivo</i> Hyperspectral Images of Human Patients
Himar Fabelo, Martin Halicek, Samuel Ortega, et al.
Sensors (Basel, Switzerland)
|
February 28, 2023
Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples
Carlos Urbina Ortega, Eduardo Quevedo Gutiérrez, Laura Quintana, et al.
Scientific Reports
|
January 4, 2025
Feasibility study of hyperspectral colposcopy as a novel tool for detecting precancerous cervical lesions
Carlos Vega, Norberto Medina, Laura Quintana-Quintana, et al.
Journal of Alzheimer'S Disease : JAD
|
December 28, 2020
Analysis of Risk Factors in Dementia Through Machine Learning
Francisco Javier Balea-Fernandez, Beatriz Martinez-Vega, Samuel Ortega, et al.
Scientific Data
|
July 29, 2024
Publisher Correction: Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB)
Samuel Ortega, Laura Quintana-Quintana, Raquel Leon, et al.
Scientific Data
|
June 24, 2024
Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB)
Samuel Ortega, Laura Quintana-Quintana, Raquel Leon, et al.
Sensors (Basel, Switzerland)
|
August 26, 2022
Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application
Marco La Salvia, Emanuele Torti, Raquel Leon, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
June 13, 2020
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images
Samuel Ortega, Martin Halicek, Himar Fabelo, et al.
Sensors (Basel, Switzerland)
|
April 3, 2020
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks
Samuel Ortega, Martin Halicek, Himar Fabelo, et al.
Sensors (Basel, Switzerland)
|
August 14, 2025
Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer
Antonio J Rodriguez-Almeida, Carmelo Betancort, Ana M Wägner, et al.
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of 5
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Showing results (11-20 of 49) with videos related to
Sort By:
Page
of 5
Proceedings of Spie--The International Society for Optical Engineering
|
August 27, 2019
Surgical Aid Visualization System for Glioblastoma Tumor Identification based on Deep Learning and <i>In-Vivo</i> Hyperspectral Images of Human Patients
Himar Fabelo, Martin Halicek, Samuel Ortega, et al.
Sensors (Basel, Switzerland)
|
February 28, 2023
Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples
Carlos Urbina Ortega, Eduardo Quevedo Gutiérrez, Laura Quintana, et al.
Scientific Reports
|
January 4, 2025
Feasibility study of hyperspectral colposcopy as a novel tool for detecting precancerous cervical lesions
Carlos Vega, Norberto Medina, Laura Quintana-Quintana, et al.
Journal of Alzheimer'S Disease : JAD
|
December 28, 2020
Analysis of Risk Factors in Dementia Through Machine Learning
Francisco Javier Balea-Fernandez, Beatriz Martinez-Vega, Samuel Ortega, et al.
Scientific Data
|
July 29, 2024
Publisher Correction: Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB)
Samuel Ortega, Laura Quintana-Quintana, Raquel Leon, et al.
Scientific Data
|
June 24, 2024
Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB)
Samuel Ortega, Laura Quintana-Quintana, Raquel Leon, et al.
Sensors (Basel, Switzerland)
|
August 26, 2022
Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application
Marco La Salvia, Emanuele Torti, Raquel Leon, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
June 13, 2020
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images
Samuel Ortega, Martin Halicek, Himar Fabelo, et al.
Sensors (Basel, Switzerland)
|
April 3, 2020
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks
Samuel Ortega, Martin Halicek, Himar Fabelo, et al.
Sensors (Basel, Switzerland)
|
August 14, 2025
Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer
Antonio J Rodriguez-Almeida, Carmelo Betancort, Ana M Wägner, et al.
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of 5