引用次数
引用: 292
H-指数: 10
I10-指数 : 12
出版物: 38
Multimodal pipeline for quantitative metrics estimation of brain tissue microstructure using dmri data
ABDERRAZEK ZERAII , AMINE BEN SLAMA , SABRI BARBARIA , MOKHTAR MARS
Journal of Theoretical and Applied Information Technology 99 ( 1)
1
2021
Features extraction for medical characterization of nystagmus
Amine Ben Slama , Aymen Mouelhi , Mohamed Ali Cherni , Sondes Manoubi
international conference on advanced technologies for signal and image processing 292 -296
7
2016
Combined Optical Coherence Tomography and Ultrasound assisted analysis for retinal detachment in morning glory syndrome
Marwa Hani , Amine Ben Slama , Nesrine Slokom , Hedi Trabelsi
international conference on advanced technologies for signal and image processing 1 -4
2020
Automated detection of current fetal head in ultrasound sequences
Hanene Sahli , Amine Ben Slama , Ahmed Zaafouri , Mounir Sayadi
2016 International Image Processing, Applications and Systems (IPAS) 1 -6
7
2016
Pupil tracking using active contour model for videonystagmography applications
Amine Ben Slama , Ahmed Nejmedine Machraoui , Mounir Sayadi
International Image Processing, Applications and Systems Conference 1 -5
6
2014
A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification
Amine Ben Slama , Aymen Mouelhi , Hanene Sahli , Sondes Manoubi
conference of the industrial electronics society 5165 -5170
7
2016
Automated approach for vestibular disorder diagnosis based on clinical VNG feature selection and fuzzy clustering
Mounir Sayadi , Amine Ben Slama , Hanene Sahli , Aymen Mouelhi
Biomedical Research-tokyo 29 ( 7) 1505 -1513
4
2018
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis
Amine Ben Slama , Aymen Mouelhi , Hanene Sahli , Sondes Manoubi
Artificial Intelligence in Medicine 80 48 -62
17
2017
A deep convolutional neural network for automated vestibular disorder classification using VNG analysis
Amine Ben Slama , Aymen Mouelhi , Hanene Sahli , Abderrazek Zeraii
Computer methods in biomechanics and biomedical engineering. Imaging & visualization 8 ( 3) 334 -342
5
2020
VNG technique for a convenient vestibular neuritis rating
Hanene Sahli , Amine Ben Slama , Sami Bouzaiane , Jihene Marrakchi
Computer methods in biomechanics and biomedical engineering. Imaging & visualization 8 ( 5) 571 -580
1
2020
DBN-DNN: discrimination and classification of VNG sequence using deep neural network framework in the EMD domain
Amine Ben Slama , Hanene Sahli , Aymen Mouelhi , Jihene Marrakchi
Computer methods in biomechanics and biomedical engineering. Imaging & visualization 8 ( 6) 681 -690
2020
Hybrid clustering system using Nystagmus parameters discrimination for vestibular disorder diagnosis.
Amine Ben Slama , Hanene Sahli , Aymen Mouelhi , Jihene Marrakchi
Journal of X-ray Science and Technology 28 ( 5) 923 -938
2020
Sparse classification of discriminant nystagmus features using combined video-oculography tests and pupil tracking for common vestibular disorder recognition
Aymen Mouelhi , Amine Ben Slama , Jihene Marrakchi , Hedi Trabelsi
Computer Methods in Biomechanics and Biomedical Engineering 1 -19
1
2020
Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images.
Hanene Sahli , Aymen Mouelhi , Amine Ben Slama , Mounir Sayadi
Journal of Medical Engineering & Technology 43 ( 5) 279 -286
2
2019
A new neural network method for peripheral vestibular disorder recognition using VNG parameter optimisation
Mounir Sayadi , Rim Lahiani , Mamia Ben Salah , Hedi Trabelsi
International Journal of Biomedical Engineering and Technology 27 ( 4) 321
4
2018
An enhanced approach for vestibular disorder assessment
Amine Ben Slama , Aymen Mouelhi , Sondes Manoubi , Mamia ben Salah
middle east conference on biomedical engineering
4
2018
Machine learning based approach for vestibular disorder diagnostic invideonystagmography
Amine Ben Slama , Hanene Sahli , Aymen Mouelhi , Jihene Marrakchi
Biomedical Research-tokyo 30 ( 4) 571 -576
2019
A computer-aided method based on geometrical texture features for a precocious detection of fetal Hydrocephalus in ultrasound images.
Hanene Sahli , Amine Ben Slama , Aymen Mouelhi , Nesrine Soayeh
Technology and Health Care 28 ( 6) 643 -664
9
2020
Building a smart dynamic kernel with compact support based on deep neural network for efficient X-ray image denoising
Zouhair Mbarki , Amine Ben Slama , Hassene Seddik , Hedi Trabelsi
Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization 10 ( 2) 132 -144
2022
ResNet-SVM: Fusion based glioblastoma tumor segmentation and classification
Hanene Sahli , Amine Ben Slama , Abderrazek Zeraii , Salam Labidi
Journal of X-ray science and technology 31 ( 1) 27 -48
10
2023