‪Jesús Ruiz-Santaquiteria Alegre‬

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Oscar Deniz SuarezFull Professor, Universidad de Castilla-La ManchaAdresse e-mail validée de uclm.es
Gabriel CristobalInstituto de Optica (CSIC)Adresse e-mail validée de optica.csic.es
Noelia VállezUniversidad de Castilla - La ManchaAdresse e-mail validée de uclm.es
Anibal PedrazaVisilab (UCLM)Adresse e-mail validée de uclm.es
Jesus SalidoAssociate Professor at Universidad de Castilla-La ManchaAdresse e-mail validée de uclm.es
Saúl BlancoDiatom Lab - University of LeónAdresse e-mail validée de unileon.es
Carlos SánchezProfesor Emérito, Universidad Autónoma de MadridAdresse e-mail validée de uam.es
MARÍA BORREGO RAMOSDiatom Lab - Universidad de LeónAdresse e-mail validée de unileon.es
Alberto Velasco-MataUbotica TechnologiesAdresse e-mail validée de ubotica.com
Adriana OleniciPhD student, Babes-Bolyai UniversityAdresse e-mail validée de ubbonline.ubbcluj.ro
Juan A. Álvarez-GarcíaFull Professor, Universidad de Sevilla, SpainAdresse e-mail validée de us.es
Carlos Sanchez BuenoIO, CSICAdresse e-mail validée de io.cfmac.csic.es
Jose Luis Espinosa-ArandaUbotica Technologies y Universidad de Castilla - La ManchaAdresse e-mail validée de uclm.es
Fernando De la TorreResearch Associate Professor, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Shugao MaFacebook Reality LabAdresse e-mail validée de fb.com
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, IndiaAdresse e-mail validée de iith.ac.in
K J JosephResearch Scientist, Adobe ResearchAdresse e-mail validée de adobe.com
Prachi GargMasters of Science in Robotics, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Necati Cihan CamgözMeta Reality LabsAdresse e-mail validée de meta.com
Jose LibrerosTechnische Universität IlmenauAdresse e-mail validée de tu-ilmenau.de

Suivre

Jesús Ruiz-Santaquiteria Alegre

Assistant Professor | VISILAB (UCLM)

Adresse e-mail validée de uclm.es

Artificial Intelligence Computer Vision Deep Learning Machine Learning Microscopy


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Semantic versus instance segmentation in microscopic algae detection J Ruiz-Santaquiteria, G Bueno, O Deniz, N Vallez, G Cristobal Engineering Applications of Artificial Intelligence 87, 103271, 2020	114	2020
Automated diatom classification (Part A): handcrafted feature approaches G Bueno, O Deniz, A Pedraza, J Ruiz-Santaquiteria, J Salido, G Cristóbal, ... Applied Sciences 7 (8), 753, 2017	79	2017
Handgun detection using combined human pose and weapon appearance J Ruiz-Santaquiteria, A Velasco-Mata, N Vallez, G Bueno, ... IEEE Access 9, 123815-123826, 2021	58	2021
Automatic handgun detection with deep learning in video surveillance images J Salido, V Lomas, J Ruiz-Santaquiteria, O Deniz Applied Sciences 11 (13), 6085, 2021	47	2021
A low-cost automated digital microscopy platform for automatic identification of diatoms J Salido, C Sánchez, J Ruiz-Santaquiteria, G Cristóbal, S Blanco, ... Applied Sciences 10 (17), 6033, 2020	44	2020
Oblique illumination in microscopy: A quantitative evaluation C Sanchez, G Cristóbal, G Bueno, S Blanco, M Borrego-Ramos, A Olenici, ... Micron 105, 47-54, 2018	32	2018
A review on low‐cost microscopes for O pen S cience J Salido, G Bueno, J Ruiz‐Santaquiteria, G Cristobal Microscopy research and technique 85 (10), 3270-3283, 2022	27	2022
Using human pose information for handgun detection A Velasco-Mata, J Ruiz-Santaquiteria, N Vallez, O Deniz Neural Computing and Applications 33 (24), 17273-17286, 2021	27	2021
Lights and pitfalls of convolutional neural networks for diatom identification A Pedraza, G Bueno, O Deniz, J Ruiz-Santaquiteria, C Sanchez, S Blanco, ... optics, photonics, and digital technologies for imaging applications V 10679 …, 2018	26	2018
Improving handgun detection through a combination of visual features and body pose-based data J Ruiz-Santaquiteria, A Velasco-Mata, N Vallez, O Deniz, G Bueno Pattern Recognition 136, 109252, 2023	16	2023
MicroHikari3D: an automated DIY digital microscopy platform with deep learning capabilities J Salido, PT Toledano, N Vallez, O Deniz, J Ruiz-Santaquiteria, ... Biomedical Optics Express 12 (11), 7223-7243, 2021	16	2021
Low-cost oblique illumination: an image quality assessment J Ruiz-Santaquiteria, JL Espinosa-Aranda, O Deniz, C Sanchez, ... Journal of Biomedical Optics 23 (1), 016001-016001, 2018	13	2018
Data-free class-incremental hand gesture recognition S Aich, J Ruiz-Santaquiteria, Z Lu, P Garg, KJ Joseph, AF Garcia, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	9	2023
Parasitic egg detection with a deep learning ensemble J Ruiz-Santaquiteria, A Pedraza, N Vallez, A Velasco 2022 IEEE International Conference on Image Processing (ICIP), 4283-4286, 2022	9	2022
Parasitic egg detection and classification with transformer-based architectures A Pedraza, J Ruiz-Santaquiteria, O Deniz, G Bueno 2022 IEEE International Conference on Image Processing (ICIP), 4301-4305, 2022	7	2022
Lights and pitfalls of convolutional neural networks for diatom identification G Bueno, O Déniz, J Ruiz-Santaquiteria, A Olenici, M Borrego-Ramos Optics, Photonics and Digital Technologies for Imaging Applications 10679, 2018	7	2018
Vision and crowdsensing technology for an optimal response in security: Project results JA Álvarez-García, JL Salazar-González, OD Suarez, ... 2021 IEEE International Mediterranean Conference on Communications and …, 2021	6	2021
Deep learning versus classic methods for multi-taxon diatom segmentation J Ruiz-Santaquitaria, A Pedraza, C Sánchez, JA Libreros, J Salido, ... Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019	6	2019
Hyperdeep: comparison of ai-based methods for predicting chemical components in hyperspectral images A Velasco-Mata, N Vallez, J Ruiz-Santaquiteria, A Pedraza, O Deniz, ... 2022 IEEE International Conference on Image Processing (ICIP), 4287-4291, 2022	3	2022
Automatization techniques. Slide scanning C Sánchez, J Ruiz-Santaquiteria Alegre, JL Espinosa Aranda, J Salido Modern Trends in Diatom Identification: Fundamentals and Applications, 113-131, 2020	3	2020

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