Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Rashwan, Hatem"'
Autor:
Khalid, Saif, Rashwan, Hatem A., Abdulwahab, Saddam, Abdel-Nasser, Mohamed, Quiroga, Facundo Manuel, Puig, Domenec
The performance of diagnostic Computer-Aided Design (CAD) systems for retinal diseases depends on the quality of the retinal images being screened. Thus, many studies have been developed to evaluate and assess the quality of such retinal images. Howe
Externí odkaz:
http://arxiv.org/abs/2409.10246
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
The joint utilization of diverse data sources for medical imaging segmentation has emerged as a crucial area of research, aiming to address challenges such as data heterogeneity, domain shift, and data quality discrepancies. Integrating information f
Externí odkaz:
http://arxiv.org/abs/2404.02738
Autor:
Loussaief, Eddardaa Ben, Rashwan, Hatem, Ayad, Mohammed, Hassan, Mohammed Zakaria, Puig, Domenec
With numerous medical tasks, the performance of deep models has recently experienced considerable improvements. These models are often adept learners. Yet, their intricate architectural design and high computational complexity make deploying them in
Externí odkaz:
http://arxiv.org/abs/2303.09494
Autor:
Mursil, Muhammad1 (AUTHOR) hatem.abdellatif@urv.cat, Rashwan, Hatem A.1 (AUTHOR), Cavallé-Busquets, Pere2 (AUTHOR) pere.cavalle@salutsantjoan.cat, Santos-Calderón, Luis A.3 (AUTHOR) luisadolfo.santos@urv.cat, Murphy, Michelle M.3 (AUTHOR) michelle.murphy@urv.cat, Puig, Domenec1 (AUTHOR) muhammad.mursil@urv.cat
Publikováno v:
Information (2078-2489). Nov2024, Vol. 15 Issue 11, p714. 26p.
Depth estimation is a challenging task of 3D reconstruction to enhance the accuracy sensing of environment awareness. This work brings a new solution with a set of improvements, which increase the quantitative and qualitative understanding of depth m
Externí odkaz:
http://arxiv.org/abs/2112.06782
Autor:
Masoumian, Armin, kazemi, Pezhman, Montazer, Mohammad Chehreghani, Rashwan, Hatem A., Valls, Domenec Puig
The objective of this paper is to describe an approach to detect the slip and contact force in real-time feedback. In this novel approach, the DAVIS camera is used as a vision tactile sensor due to its fast process speed and high resolution. Two hund
Externí odkaz:
http://arxiv.org/abs/2111.05308
Autor:
Masoumian, Armin, kazemi, Pezhman, Montazer, Mohammad Chehreghani, Rashwan, Hatem A., Valls, Domenec Puig
The inverted pendulum is a non-linear unbalanced system that needs to be controlled using motors to achieve stability and equilibrium. The inverted pendulum is constructed with Lego and using the Lego Mindstorm NXT, which is a programmable robot capa
Externí odkaz:
http://arxiv.org/abs/2111.05309
Autor:
Masoumian, Armin, Marei, David G. F., Abdulwahab, Saddam, Cristiano, Julian, Puig, Domenec, Rashwan, Hatem A.
Determining the distance between the objects in a scene and the camera sensor from 2D images is feasible by estimating depth images using stereo cameras or 3D cameras. The outcome of depth estimation is relative distances that can be used to calculat
Externí odkaz:
http://arxiv.org/abs/2111.01715
Autor:
Khalid, Saif, Rashwan, Hatem A., Abdulwahab, Saddam, Abdel-Nasser, Mohamed, Quiroga, Facundo Manuel, Puig, Domenec
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part C
Autor:
Akram, Farhan, Singh, Vivek Kumar, Rashwan, Hatem A., Abdel-Nasser, Mohamed, Sarker, Md. Mostafa Kamal, Pandey, Nidhi, Puig, Domenec
In this paper, we propose an efficient blood vessel segmentation method for the eye fundus images using adversarial learning with multiscale features and kernel factorization. In the generator network of the adversarial framework, spatial pyramid poo
Externí odkaz:
http://arxiv.org/abs/1907.02742