116 citations · 314 across the 20 of their papers we have counts for
20 papers
M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data
Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon +3
Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to increased mortality and morbidity. Early prediction of BW enables timely intervention…
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
Eddardaa B. Loussaief, Mohammed Ayad, Domenc Puig +1
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, d…
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models
Eddardaa Ben Loussaief, Hatem Rashwan, Mohammed Ayad +2
With numerous medical tasks, the performance of deep models has recently experienced considerable improvements. These models are often adept learners. Yet, their intricate architec…
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network
Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab +2
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, wh…
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum
Armin Masoumian, Pezhman kazemi, Mohammad Chehreghani Montazer +2
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 Leg…
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time
Armin Masoumian, Pezhman kazemi, Mohammad Chehreghani Montazer +2
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 tact…
Absolute distance prediction based on deep learning object detection and monocular depth estimation models
Armin Masoumian, David G. F. Marei, Saddam Abdulwahab +3
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…
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation
Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser +2
Lung cancer is deadly cancer that causes millions of deaths every year around the world. Accurate lung nodule detection and segmentation in computed tomography (CT) images is the m…
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation
Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan +4
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 t…
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser +5
This paper proposes an efficient solution for tumor segmentation and classification in breast ultrasound (BUS) images. We propose to add an atrous convolution layer to the conditio…
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram +8
The determination of precise skin lesion boundaries in dermoscopic images using automated methods faces many challenges, most importantly, the presence of hair, inconspicuous lesio…
Breast Tumor Segmentation and Shape Classification in Mammograms using Generative Adversarial and Convolutional Neural Network
Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani +8
Mammogram inspection in search of breast tumors is a tough assignment that radiologists must carry out frequently. Therefore, image analysis methods are needed for the detection an…
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images
Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan +2
This paper aims at developing an automatic algorithm for moth recognition from trap images in real-world conditions. This method uses our previous work for detection [1] and introd…
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefania Talavera +3
First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. O…
REFUGE CHALLENGE 2018-Task 2:Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks
Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh +4
In this paper, an optic disc and cup segmentation method is proposed using U-Net followed by a multi-scale feature matching network. The proposed method targets task 2 of the REFUG…
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network
Vivek Kumar Singh, Hatem Rashwan, Farhan Akram +7
This paper proposed a retinal image segmentation method based on conditional Generative Adversarial Network (cGAN) to segment optic disc. The proposed model consists of two success…
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan +9
This paper proposes a novel approach based on conditional Generative Adversarial Networks (cGAN) for breast mass segmentation in mammography. We hypothesized that the cGAN structur…
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network
Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan +4
Diversity of food and its attributes represents the culinary habits of peoples from different countries. Thus, this paper addresses the problem of identifying food culture of peopl…
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram +8
Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma. In this paper, we present a robust deep learning SLS model, so-called SL…
Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object
Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos +2
In the context of 2D/3D registration, this paper introduces an approach that allows to match features detected in two different modalities: photographs and 3D models, by using a co…