A5021773747- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- COVID-19 diagnosis using AI
- Advanced Vision and Imaging
- Augmented Reality Applications
- Artificial Intelligence in Healthcare
- Renal cell carcinoma treatment
- Optical measurement and interference techniques
- Anomaly Detection Techniques and Applications
- Abdominal Trauma and Injuries
- COVID-19 Clinical Research Studies
- COVID-19 and healthcare impacts
- Anorectal Disease Treatments and Outcomes
- Sustainable Urban and Rural Development
- Radiomics and Machine Learning in Medical Imaging
- Pediatric Urology and Nephrology Studies
- Gynecological conditions and treatments
- AI in cancer detection
- Artificial Intelligence in Healthcare and Education
- Endometrial and Cervical Cancer Treatments
- Liver Disease Diagnosis and Treatment
- Brain Tumor Detection and Classification
- Lower Extremity Biomechanics and Pathologies
- Hepatocellular Carcinoma Treatment and Prognosis
- Urban Planning and Valuation
Zagazig University
2019-2024
Benha University
2022-2023
Menoufia University
2014-2023
Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie
2018
Institut de Recherche contre les Cancers de l’Appareil Digestif
2012-2018
Université de Strasbourg
2016
Contemporary endoscopic simultaneous localization and mapping (SLAM) methods accurately compute endoscope poses; however, they only provide a sparse 3-D reconstruction that poorly describes the surgical scene. We propose novel dense SLAM method whose qualities are: 1) monocular, requiring RGB images of handheld monocular endoscope; 2) fast, providing positional tracking scene reconstruction, running in parallel threads; 3) dense, yielding an accurate reconstruction; 4) robust, to severe...
Purpose To compare safety and efficacy of combined therapy with conventional transarterial chemoembolization (cTACE)+microwave ablation (MWA) versus only TACE or MWA for treatment hepatocellular carcinoma (HCC) >3–<5 cm.Methods This randomized controlled trial (NCT04721470) screened 278 patients HCC cm. Patients were into three groups: 90 underwent (Group 1); 95 2); 93 3). followed-up contrast-enhanced CT MRI. Images evaluated compared response adverse events based on modified evaluation...
Recovering surgical scene structure in laparoscope surgery is crucial step for guidance and augmented reality applications. In this paper, a quasi dense reconstruction algorithm of proposed. This based on state-of-the-art SLAM system, exploiting the initial exploration phase that typically performed by surgeon at beginning surgery. We show how to convert sparse map reconstruction, using pairs keyframe images correlation-based featureless patch matching. have validated approach with live...
Abstract Background The Radiological Society of North America (RSNA) recently published a chest CT classification system and Dutch Association for Radiology has announced Coronavirus disease 2019 (COVID-19) reporting data (CO-RADS) to provide guidelines radiologists who interpret images patients with suspected COVID-19 pneumonia. This study aimed compare CO-RADS RSNA respect their sensitivity reliability diagnosis Results A retrospective assessed consecutive imaging 359 COVID-19-positive...
Anterior knee pain (AKP) is a problematic complaint, considered to be the most frequent cause of orthopedic consultancy for problems. This study aimed highlight diagnostic accuracy ultrasonography as fast imaging technique in assessment patients with AKP.A prospective was conducted on 143 clinically confirmed AKP. All underwent and MRI examinations knee. The compared evaluating different findings possible causes AKP were analyzed using receiver operating characteristic (ROC) curve judged by...
Abstract Purpose To compare effectiveness of three widely used embolic agents in partial splenic embolization (PSE) by analyzing their clinical, laboratory, and radiological outcomes within one year follow-up. Materials methods This retrospective study examined 179 patients who underwent PSE to manage hypersplenism secondary cirrhosis. Patients were divided into 3 groups according agent used. Group 1 (gelatin sponge) included 65 patients, group 2 (embospheres) 58 (PVA) 56 patients. Clinical,...
The purpose of this study was to investigate magnetic resonance imaging (MRI) and 3-dimensional transperineal ultrasound (3D-TPUS) features pelvic floor dysfunction (PFD) in symptomatic women correlation with digital palpation define cut-offs for hiatal dimensions predictive muscle dysfunction.This prospective included 73 symptoms suggesting PFD. 3D-TPUS, MRI, the levator ani were performed all patients. Levator antero-posterior (LHap) diameter area (LH area) measured at rest maximum...
Heart diseases are considered one of the leading death rates for humanity in recent decades. The early diagnosis and prediction heart disease becomes a critical subject medical domain. Data mining techniques usually used finding anomalies, patterns correlations within large data sets, thus it's crucial clinical analysis various prediction. Ensemble approaches have proven to be quite effective solving variety classification problems. In this research, we propose hybrid ensemble stacking model...
The motivation for this research stems from the belief that some currently available technologies are overlooked in architecture practice, despite their significant potentials and capabilities.These can help architects better understand impact of design proposals a more scientific way.Whereas main purpose is to review relevant studies, characteristics, various types modern eye-tracking technology architectural visual assessment.Such arrived recognizing problem concerning absence an objective...
Automatic and rapid screening of COVID-19 from the chest X-ray Computerized Tomography (CT) images has become an urgent need in this pandemic situation SARS-CoV-2 worldwide.However, accurate reliable patients is a massive challenge due to discrepancy between other viral pneumonia both CT images.Several models were introduced, but always there was glitch that might be use single classifier, reduces their accuracy.In paper, we study multi-classifiers show effect on different working images.We...
Structure from Motion (SfM) technique is usually used for camera motion recovery and 3D shape estimation The major problem with most SfM techniques the computation time. Typically, involve basic matrix operations. In case of large matrices these operations can increase time algorithm. Though newer faster algorithms are developed, as data increases exponentially, computational processing has been degraded. trend on resources mostly towards parallel processing. This paper presents OpenCL...
— the world those days focuses on protecting human health and combating irruption of coronavirus patients (COVID-19). As results its extra ordinarily contagious infection that have caused a disturbance in everyone's lives various ways. For early screening, Reverse Transcription Protein Chain Reaction (RT-PCR) test is used to examine onset by detecting RNA material virus among patients' samples. Recent indicate applying X-ray images X-radiation (CT) improves detection accuracy this disease....
We aim to track the endoscope location inside surgical scene and provide 3D reconstruction, in real-time, from sole input of image sequence captured by monocular endoscope. This information offers new possibilities for developing navigation augmented reality applications. The main benefit this approach is lack extra tracking elements which can disturb surgeon performance clinical routine. It our first contribution exploit ORBSLAM, one best performing SLAM algorithms, estimate both location,...
The main motivation of this research is to bridge the gap between modern neurological technologies and architecture, mainly on topic emotional psychological response detection.This conducts a revision topics such as human perception, visual space-generated emotions, impact, beside currently being implemented in medicinal field with purpose emotion detection electroencephalography EEG functional magnetic resonance imaging fMRI from an architectural practice perspective.Moreover, (a) suggested...
Coronary artery disease (CAD) is one of the most healthcare serious issues due to its rising death rates in world population. Hence, need for developing a decision support system that will help early and accurate diagnosis CAD essential. Machine learning (ML) data mining approaches have been widely researched field medical domain order fast making. The efficiency any ML highly dependent on methodology involved dataset features selected. In this research, we proposed novel two-layered...
The worldwide spread of coronavirus disease (COVID-19) has become a threatening risk for global public health.Currently, doctors resort to PCR analysis, however, it suffers from low accuracy problems.On the other hand, Convolutional neural network (CNN) and despite its high incorrect classification, takes long time train data, in addition requires large training dataset.In this paper, we propose hybrid approach COVID-19 detection diagnosis.Our contribution consists two phases provide...