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Angel Rio-Alvarez

University of Oviedo

SCHOLARLY PAPERS

6

DOWNLOADS

276

TOTAL CITATIONS

0

Scholarly Papers (6)

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1.

Evaluating the potential of apparent diffusion coefficient maps obtained from diffusion-weighted MRI for breast cancer detection using deep learning techniques

Downloads 79 (816,709)

Evaluating the potential of apparent diffusion coefficient maps obtained from diffusion-weighted MRI for breast cancer detection using deep learning techniques

Number of pages: 9 Posted: 24 Oct 2025
Pablo García Marcos, Paula Puerta González, Guillermo Lorenzo, Hector Gomez, Covadonga del Camino, Victor Manuel González Suárez and Angel Rio-Alvarez
University of Oviedo, University of Oviedo, University of A Coruña, Purdue University, affiliation not provided to SSRN, University of Oviedo and University of Oviedo
Downloads 57 (1,006,630)

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Breast cancer, Diffusion-weighted MRI, Apparent Diffusion Coefficient, Segmentation, Classification

Evaluating the potential of apparent diffusion coefficient maps obtained from diffusion-weighted MRI for breast cancer detection using deep learning techniques

Number of pages: 9 Posted: 17 Dec 2025
Pablo García Marcos, Paula Puerta González, Guillermo Lorenzo, Hector Gomez, Covadonga del Camino, Victor Manuel González Suárez and Angel Rio-Alvarez
University of Oviedo, University of Oviedo, University of A Coruña, Purdue University, affiliation not provided to SSRN, University of Oviedo and University of Oviedo
Downloads 22 (1,486,852)

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Breast cancer, Diffusion-weighted MRI, Apparent Diffusion Coefficient, Segmentation, Object detection, Classification

2.

Motion-Adaptive HOG Descriptors for Real-Time Object Detection in Resource-Constrained Environments

Downloads 62 (970,490)

Motion-Adaptive HOG Descriptors for Real-Time Object Detection in Resource-Constrained Environments

Number of pages: 19 Posted: 27 Nov 2025
Angel Rio-Alvarez, Daniel Fernandez-Lanvin, Javier De Andres and Martin Gonzalez-Rodriguez
University of Oviedo, University of Oviedo, University of Oviedo and University of Oviedo
Downloads 23 (1,459,262)

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Motion Blur, Moving Objects detection, gradient, histogram of oriented gradients, adaptive descriptor, convolution

Motion-Adaptive HOG Descriptors for Real-Time Object Detection in Resource-Constrained Environments

Number of pages: 19 Posted: 29 Nov 2025
Angel Rio-Alvarez, Daniel Fernandez-Lanvin, Javier De Andres and Martin Gonzalez-Rodriguez
University of Oviedo, University of Oviedo, University of Oviedo and University of Oviedo
Downloads 14 (1,570,077)

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Motion Blur, Moving Objects detection, gradient, Histogram of oriented gradients, adaptive descriptor, convolution

Motion-Adaptive HOG Descriptors for Real-Time Object Detection in Resource-Constrained Environments

Number of pages: 18 Posted: 17 Mar 2026
Angel Rio-Alvarez, Daniel Fernandez-Lanvin, Javier De Andres and Martin Gonzalez-Rodriguez
University of Oviedo, University of Oviedo, University of Oviedo and University of Oviedo
Downloads 13 (1,598,105)

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Motion Blur, Moving Objects detection, gradient, Histogram of oriented gradients, adaptive descriptor, convolution

Motion-Adaptive HOG Descriptors for Real-Time Object Detection in Resource-Constrained Environments

Number of pages: 18 Posted: 17 Mar 2026
Angel Rio-Alvarez, Daniel Fernandez-Lanvin, Javier De Andres and Martin Gonzalez-Rodriguez
University of Oviedo, University of Oviedo, University of Oviedo and University of Oviedo
Downloads 12 (1,598,105)

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Motion Blur, Moving Objects detection, gradient, Histogram of oriented gradients, adaptive descriptor, convolution

3.

Bacterial Foraging Optimization-boosted Convolutional Neural Network for Brain Tumor Detection using MRI Images

Number of pages: 13 Posted: 02 Mar 2026
Tarequl Islam, Wahidur Rahman, Kaniz Roksana, Shakhawat Hossain, Mostofa Kamal Nasir, Victor Manuel González Suárez and Angel Rio-Alvarez
Khwaja Yunus Ali University, Khwaja Yunus Ali University - Faculty of Computer Science and Engineering, Daffodil International University, affiliation not provided to SSRN, Mawlana Bhashani Science and Technology University, University of Oviedo and University of Oviedo
Downloads 38 (1,222,651)

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Brain Tumors classification, MRI Imaging, Computer Vision, Bacterial Foraging Algorithm, Deep Learning

4.

Evaluating the Potential of Apparent Diffusion Coefficient Maps Obtained from Diffusion-Weighted MRI for Breast Cancer Detection Using Deep Learning Techniques

Number of pages: 9 Posted: 06 Aug 2025
Pablo García Marcos, Paula Puerta González, Guillermo Lorenzo, Hector Gomez, Covadonga del Camino, Victor Manuel González Suárez and Angel Rio-Alvarez
University of Oviedo, University of Oviedo, University of A Coruña, Purdue University, affiliation not provided to SSRN, University of Oviedo and University of Oviedo
Downloads 35 (1,249,711)

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Breast cancer, Diffusion-weighted MRI, Apparent Diffusion Coefficient, Segmentation, Object detection, Classification

5.

Evaluating the Potential of Non-Contrast Diffusion MRI for Breast Tumor Diagnosis Using Deep Learning Techniques

Number of pages: 26 Posted: 25 Jun 2025
Pablo García Marcos, Paula Puerta González, Guillermo Lorenzo, Hector Gomez, Covadonga del Camino, Victor Manuel González Suárez and Angel Rio-Alvarez
University of Oviedo, University of Oviedo, University of A Coruña, Purdue University, affiliation not provided to SSRN, University of Oviedo and University of Oviedo
Downloads 35 (1,249,711)

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Breast cancer, DWI, ADC map, Segmentation, Detection, Classification

6.

Automatic Generation of Expert-Level Neuron Segmentation Masks from Fluorescence Microscopy Images for Non-Invasive Deep Learning Analysis of Phase-Contrast Images

Number of pages: 25 Posted: 01 Oct 2025
Gerard Villarroya Piqué, Victor Manuel González Suárez, Esther Serrano-Pertierra, M. Teresa Fernandez-Sanchez, Antonello Novelli and Angel Rio-Alvarez
University of Oviedo, University of Oviedo, University of Oviedo, University of Oviedo, University of Oviedo and University of Oviedo
Downloads 27 (1,385,945)

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Neuron segmentation, Fluorescence microscopy, Non-invasive imaging, Automated annotation, Computer vision, Neurotoxicity