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High-Dimensional Feature Selection for Automatic Classification of Coronary Stenosis Using an Evolutionary Algorithm
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A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography
Raffaele Mineo, F. Proietto Salanitri, G. Bellitto, I. Kavasidis, O. De Filippo, M. Millesimo, G. M. De Ferrari, M. Aldinucci, D. Giordano, S. Palazzo, F. D’Ascenzo and C. Spampinato IEEE Transactions on Medical Imaging 43(8) 2866 (2024) https://doi.org/10.1109/TMI.2024.3383283
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Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control
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The Application of Deep Learning for the Segmentation and Classification of Coronary Arteries
Automatic Classification of Coronary Stenosis Using Feature Selection and a Hybrid Evolutionary Algorithm
Miguel-Angel Gil-Rios, Claire Chalopin, Ivan Cruz-Aceves, Juan-Manuel Lopez-Hernandez, Martha-Alicia Hernandez-Gonzalez and Sergio-Eduardo Solorio-Meza Axioms 12(5) 462 (2023) https://doi.org/10.3390/axioms12050462
One-Stage Detection without Segmentation for Multi-Type Coronary Lesions in Angiography Images Using Deep Learning
Hui Wu, Jing Zhao, Jiehui Li, Yan Zeng, Weiwei Wu, Zhuhuang Zhou, Shuicai Wu, Liang Xu, Min Song, Qibin Yu, Ziwei Song and Lin Chen Diagnostics 13(18) 3011 (2023) https://doi.org/10.3390/diagnostics13183011
Artificial Intelligence and Smart Environment
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Artificial Intelligence and Machine Learning for Healthcare
Emmanuel Ovalle-Magallanes, Dora E. Alvarado-Carrillo, Juan Gabriel Avina-Cervantes, et al. Intelligent Systems Reference Library, Artificial Intelligence and Machine Learning for Healthcare 229 197 (2023) https://doi.org/10.1007/978-3-031-11170-9_8
Use of semi-synthetic data for catheter segmentation improvement
Viacheslav V. Danilov, Dmitrii Yu. Kolpashchikov, Olga M. Gerget, Nikita V. Laptev, Alex Proutski, Luis A. Hernández Gómez, Federico Alvarez and María J. Ledesma-Carbayo Computerized Medical Imaging and Graphics 106 102188 (2023) https://doi.org/10.1016/j.compmedimag.2023.102188
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Attention Mechanisms Evaluated on Stenosis Detection using X-ray Angiography Images
Emmanuel Ovalle-Magallanes, Dora E. Alvarado-Carrillo, Juan Gabriel Avina-Cervantes, et al. Journal of Advances in Applied & Computational Mathematics 9 62 (2022) https://doi.org/10.15377/2409-5761.2022.09.5
Vision Transformer in Stenosis Detection of Coronary Arteries
Automatic Feature Selection for Stenosis Detection in X-ray Coronary Angiograms
Miguel-Angel Gil-Rios, Igor V. Guryev, Ivan Cruz-Aceves, Juan Gabriel Avina-Cervantes, Martha Alicia Hernandez-Gonzalez, Sergio Eduardo Solorio-Meza and Juan Manuel Lopez-Hernandez Mathematics 9(19) 2471 (2021) https://doi.org/10.3390/math9192471
Transfer Learning for Stenosis Detection in X-ray Coronary Angiography
Emmanuel Ovalle-Magallanes, Juan Gabriel Avina-Cervantes, Ivan Cruz-Aceves and Jose Ruiz-Pinales Mathematics 8(9) 1510 (2020) https://doi.org/10.3390/math8091510
Comparative Study of Deep Learning Models for Automatic Coronary Stenosis Detection in X-ray Angiography
Viacheslav Danilov, Olga Gerget, Kirill Klyshnikov, Evgeny Ovcharenko and Alejandro Frangi Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 paper75-1 (2020) https://doi.org/10.51130/graphicon-2020-2-3-75
On regularization properties of artificial datasets for deep learning