A5026073199- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Lung Cancer Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Machine Learning in Healthcare
- Sarcoma Diagnosis and Treatment
- Child Nutrition and Feeding Issues
- Global Maternal and Child Health
- Stroke Rehabilitation and Recovery
- Gastric Cancer Management and Outcomes
- Digital Radiography and Breast Imaging
- Genetic factors in colorectal cancer
- Advanced X-ray and CT Imaging
- Petroleum Processing and Analysis
- Medical Image Segmentation Techniques
- Hepatocellular Carcinoma Treatment and Prognosis
- Functional Brain Connectivity Studies
- Pharmacology and Obesity Treatment
- Artificial Intelligence in Healthcare and Education
- Neurological Disease Mechanisms and Treatments
- Child and Adolescent Health
- Dementia and Cognitive Impairment Research
- Surgical site infection prevention
- Tumors and Oncological Cases
- Phytochemicals and Antioxidant Activities
Otto-von-Guericke University Magdeburg
2020-2024
University of Michigan–Dearborn
2020-2023
Université Oran 1 Ahmed Ben Bella
2021
Lebanese University
2020
University of Maiduguri
2018-2019
American University of Beirut
2012
The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread, and challenged different sectors. One most effective ways to limit spread is early accurate diagnosing infected patients. Medical imaging, such as X-ray computed tomography (CT), combined potential artificial intelligence (AI), plays an essential role in supporting medical personnel diagnosis process. Thus, this article, five deep learning models (ResNet18, ResNet34, InceptionV3, InceptionResNetV2,...
Traditional navigational bronchoscopy procedures rely on preprocedural computed tomography (CT) and intraoperative chest radiography cone-beam CT (CBCT) to biopsy peripheral lung lesions. This approach is challenging due the projective nature of radiography, high radiation dose, long imaging time, large footprints CBCT. Digital tomosynthesis (DTS) considered an attractive alternative combining advantages Only depth resolution cannot match a full CBCT image limited angle acquisition. To...
Abstract The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and challenged different sectors. One most effective ways to limit is early accurate diagnosis infected patients. Medical imaging such as X-ray Computed Tomography (CT) combined potential Artificial Intelligence (AI) plays an essential role in supporting medical staff process. Thereby, five deep learning models (ResNet18, ResNet34, InceptionV3, InceptionResNetV2, DenseNet161) their Ensemble have been...
Adolescent motherhood (childbearing below 18 years of age) is a major global health and social problem. Understanding the impact early on maternal child indices important to community population promotion in developing countries. This study examined association between adolescent Maiduguri, Nigeria.A cross-sectional design method was used recruit 220 mothers (age=14-25 years) from four communities city Northeastern Nigeria. Participants were surveyed using self-developed...
The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and challenged different sectors. One most effective ways to limit is early accurate diagnosing infected patients. Medical imaging, such as X-ray Computed Tomography (CT), combined potential Artificial Intelligence (AI), plays an essential role in supporting medical personnel diagnosis process. Thus, this article five deep learning models (ResNet18, ResNet34, InceptionV3, InceptionResNetV2 DenseNet161) their...
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children. Outcome of patients treated on standard protocols, a multidisciplinary cancer center setting outside clinical trials, not well reported. We reviewed characteristics and outcome 23 pediatric at single, Lebanon, between April 2002 December 2010. Median follow-up was 41 months. The commonly affected primary site head neck (48%, n = 11). Nineteen tumors (82.6%) were embryonal histology. Tumor size ≥5 cm eight (34.8%)...
Background: Stroke has a great adverse effect not only on the lives of stroke survivors but also informal caregivers, as they provide care ranging from assistance in activities daily living, leading to high risk depression and other psychological morbidities. Objectives: This study explored prevalence associated factors among primary caregivers Nigeria. Methods: A cross sectional survey was conducted at selected hospitals Maiduguri, sample convenience used recruit participants this study....
The perfusion imaging using C-arm CT could be used intraoperatively for liver cancer treatment planning and evaluation. To deal with undersampled data due to slow rotation pause between the rotations, we applied model-based reconstruction methods. Recent works time separation technique an analytical basis function set have led a significant improvement in quality of maps. In this work apply prior knowledge extracted singular value decomposition from reconstructions. On scan simulated based...
Algerian crude oil displays a marked propensity for asphaltene precipitation, leading to solid deposits during extraction, transportation, and storage. The relationship between precipitation chemical composition is unclear; in fact, actually features low concentration, despite its relatively large rate of deposit formation. rationalization the process remediation should benefit from molecular characterization oil. In this study, two unstable fractions (A1 A2) different deposits, resin (R1...
Abstract Background Transbronchial needle biopsy is crucial for diagnosing lung cancer, yet its efficacy depends on accurately localizing the target lesion and needle. Digital tomosynthesis (DTS) considered a promising imaging modality guiding bronchoscopy procedures due to low radiation dose small footprint relative cone‐beam computed tomography (CBCT). However, image quality of DTS still not sufficient an accurate guidance, mainly limited‐angle acquisition. Purpose Preoperative (CT) scans...
The efficacy of interventional treatments highly relies on an accurate identification the target lesions and tools in guidance images. Whereas X-ray radiography poses low doses to patient, its weakness is superposition different image structures a 2D image. Cone-beam computed tomography (CBCT) might look ideal providing exact 3D information, however this at cost higher radiation dose, longer imaging time, more space requirements operating room. Introducing some depth information with...
The dynamics of large-scale neural circuits is known to play an important role in both aberrant and normal cognitive functioning. Describing these phenomena extremely when we want get understand- ing the aging processes for neurodegenerative disease evolution. Modern systems control theory offers a wealth methods concepts that can be easily applied facilitate insight into dynamic governing evolution at patient level, treatment response evaluation revealing some central mechanism network...
The use of C-Arm-based cone-beam computed tomography (CBCT) plays an increasing role in interventions, especially for guidance and therapy control. slow speed the high dose limit CBCT to research prevent its widespread application clinical routine. Acquiring less data using greater angular step or limited range is obvious way overcome these issues. However, images reconstructed from such datasets standard reconstruction algorithms are deteriorated with severe artifacts. In this work, we...