Sensor Fusion Approach for Multiple Human Motion Detection for Indoor Surveillance Use-Case

Autor: Ali Abbasi, Sandro Queirós, Nuno M. C. da Costa, Jaime C. Fonseca, João Borges

Publikováno v: Sensors, Vol 23, Iss 8, p 3993 (2023)

Multi-human detection and tracking in indoor surveillance is a challenging task due to various factors such as occlusions, illumination changes, and complex human-human and human-object interactions. In this study, we address these challenges by expl

Externí odkaz: https://doaj.org/article/35681c993a6747f69d553e217fdf0051

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI:The M&Ms challenge

Autor: Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro Queirós, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hullebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stephanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir

Publikováno v: Martin-Isla, C, Campello, V M, Izquierdo, C, Kushibar, K, Sendra-Balcells, C, Gkontra, P, Sojoudi, A, Fulton, M J, Arega, T W, Punithakumar, K, Li, L, Sun, X, Khalil, Y A, Liu, D, Jabbar, S, Queiros, S, Galati, F, Mazher, M, Gao, Z, Beetz, M, Tautz, L, Galazis, C, Varela, M, Hullebrand, M, Grau, V, Zhuang, X, Puig, D, Zuluaga, M A, Mohy-ud-Din, H, Metaxas, D, Breeuwer, M, Geest, R J V D, Noga, M, Bricq, S, Rentschler, M E, Guala, A, Petersen, S E, Escalera, S, Palomares, J F R & Lekadir, K 2023, ' Deep Learning Segmentation of the Right Ventricle in Cardiac MRI : The M &Ms challenge ', IEEE Journal of Biomedical and Health Informatics, pp. 1-14 . https://doi.org/10.1109/JBHI.2023.3267857

In recent years, several deep learning models have been proposed to accurately quantify and diagnose cardiac pathologies. These automated tools heavily rely on the accurate segmentation of cardiac structures in MRI images. However, segmentation of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a6c9c7985326e535eda2261dc13b51
https://vbn.aau.dk/da/publications/12cc1dcd-8442-48eb-99a4-807c7dd00d98

Automatic assessment of Pectus Excavatum severity from CT images using deep learning

Autor: Sandro Queirós, Inês Pessanha, Bruno Utiyama da Silva, Jorge Correia-Pinto, Jaime C. Fonseca

Pectus excavatum (PE) is the most common abnormality of the thoracic cage, whose severity is evaluated by extracting three indices (Haller, correction and asymmetry) from computed tomography (CT) images. To date, this analysis is performed manually,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f17b694796ba40d7bf382c4496dfdd08
https://hdl.handle.net/1822/76564

Temporal characterization of ventricular function and deformation after Takotsubo syndrome using cardiovascular magnetic resonance imaging

Autor: Paloma Lys de Medeiros, Vitor Hugo Pereira, R Flores, N Antunes, C Oliveira, C Marques Pires, F Mane, RM Passos, C Vieira, R Silva, Sandro Queirós

Publikováno v: European Heart Journal - Cardiovascular Imaging. 22

Funding Acknowledgements Type of funding sources: None. INTRODUCTION The time course of ventricular recovery in Takotsubo Syndrome (TS) patients(pts) is still not well characterized. Quantification of myocardial deformation using Cardiovascular Magne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac632067c18c69b1d6e42d4741fa58e3
https://doi.org/10.1093/ehjci/jeab090.109

The Impact of Vendor-Specific Ultrasound Beam-Forming and Processing Techniques on the Visualization of In Vitro Experimental 'Scar': Implications for Myocardial Scar Imaging Using Two-Dimensional and Three-Dimensional Echocardiography

Autor: Gianpiero Pagnano, Mark J. Monaghan, Francis Murgatroyd, Giovanni Masoero, Marilou Huang, Luke Dancy, Jan D'hooge, Ajay M. Shah, Sandro Queirós, Konstantinos C. Theodoropoulos, Spyridon Zidros, Alexandros Papachristidis, Daniel Sado, Patrick G. Rafter

Publikováno v: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography. 34(10)

Background Myocardial scar appears brighter compared with normal myocardium on echocardiography because of differences in tissue characteristics. The aim of this study was to test how different ultrasound pulse characteristics affect the brightness c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92892fb92d36e31d8dc149e0c0a1fedb
https://pubmed.ncbi.nlm.nih.gov/34082020