A5101769120- Obstructive Sleep Apnea Research
- Advanced Neuroimaging Techniques and Applications
- Sleep and Wakefulness Research
- Glioma Diagnosis and Treatment
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Neurological disorders and treatments
- Digital Radiography and Breast Imaging
- Parkinson's Disease Mechanisms and Treatments
- Brain Metastases and Treatment
- Advanced MRI Techniques and Applications
- Sleep and related disorders
- Brain Tumor Detection and Classification
- Genetic Neurodegenerative Diseases
- Radiomics and Machine Learning in Medical Imaging
- Neuroscience of respiration and sleep
- Amyotrophic Lateral Sclerosis Research
- Neurological and metabolic disorders
- Restless Legs Syndrome Research
- Nanoparticle-Based Drug Delivery
- Cerebral Venous Sinus Thrombosis
- Adsorption, diffusion, and thermodynamic properties of materials
- Radiation Detection and Scintillator Technologies
- Long-Term Effects of COVID-19
Tehran University of Medical Sciences
2020-2025
Pasteur Institute of Iran
2025
Biotechnology Research Center
2025
Kermanshah University of Medical Sciences
2018-2022
Shahid Beheshti University of Medical Sciences
2021
Background: Sleep apnea is a prevalent sleep disorder, especially in males and older ages. The common diagnostic methods, including polysomnography (PSG), are expensive, difficult to perform, time-consuming. Numerous studies focusing on developing easy-to-perform methods based artificial intelligence (AI) for the early diagnosis of apnea. This systematic review aimed gather current convolutional neural network (CNN) Methods: Three international electronic databases (PubMed, Web Science...
ABSTRACT Background Obstructive sleep apnea (OSA) is characterized by disruptive breathing, resulting in a decline cognitive performance. This study investigates the role of oxygen extraction fraction (OEF) and quantitative susceptibility mapping (QSM) OSA‐related impairment. Methods The recruited 15 patients with confirmed OSA 16 healthy controls, who underwent overnight polysomnography brain MRI using 3 Tesla machine 64‐channel head coil. A two‐step analysis was employed to measure OEF....
Abstract Background Lung cancer is the leading cause of cancer‐related deaths worldwide. MicroRNAs (miRNAs) are small noncoding molecules that play critical roles in cell proliferation, apoptosis, invasion, and metastasis, they can target multiple genes at mRNA level. Materials methods Some online tools like TargetScan, miRDIP, miRmap, miRanda were used to evaluate validated genes. Before choosing genes, we took advantage some bioinformatics including STRING, GeneMANIA, TRED predict Finally,...
Automated segmentation of glioblastoma multiforme (GBM) from MRI images is crucial for accurate diagnosis and treatment planning. This paper presents a new innovative approach automating the GBM using marker-controlled watershed (MCWS) algorithm.
Accurate segmentation of meningiomas from contrast-enhanced T1-weighted (CE T1-w) magnetic resonance imaging (MRI) is crucial for diagnosis and treatment planning. Manual time-consuming prone to variability. To evaluate an automated approach using marker-controlled watershed (MCWS) fuzzy c-means (FCM) algorithms.CE T1-w MRI 3 female patients (aged 59, 44, 67 years) with right frontal were analyzed. Images converted grayscale preprocessed Otsu's thresholding FCM clustering. MCWS was...
In addition to providing a measurement of the tumor's size and dimensions, magnetic resonance imaging (MRI) provides excellent noninvasive radiographic detection tumor location. The MRI technique is an important modality that has been shown be useful in prognosis, diagnosis, treatment planning, evaluation response recurrence solid cancers. Diffusion-weighted (DWI) quantifies water mobility. This approach good for identifying sub-voxel microstructure tissues, correlates with cellularity,...
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of upper and lower motor neurons. Biomarkers are needed to improve diagnosis, gauge progression, evaluate treatment. Diffusion tensor imaging (DTI) promising biomarker for detecting microstructural alterations in the white matter tracts. This study aimed assess DTI metrics as biomarkers examine their relationship with clinical assessments patients ALS. Eleven ALS 21 healthy controls (HCs)...
Abstract Background Obstructive sleep apnea (OSA) is a prevalent disorder that associated with structural brain damage and cognitive impairment. The hypothalamus plays crucial role in regulating wakefulness. We aimed to evaluate hypothalamic subunit volumes patients OSA. Methods enrolled 30 participants (15 OSA 15 healthy controls (HC)). Patients underwent complete overnight polysomnography (PSG) examination. All the MRI. were calculated using segmentation technique trained 3D convolutional...
Efficacy of Platelet-Rich Plasma as an Adjuvant Therapy to Endoscopic Sinus Surgery in Anosmia Patients with Sinonasal Polyposis: A Randomized Controlled Clinical Trial
The present study was carried out to investigate the potential of hardened paste Portland cement (HPPC) as a low-cost adsorbent for removal Basic Red 46 (BR 46) from contaminated water by using batch adsorption studies. In this work, HPPC has been selected because main advantages such high efficiency, simple separation sludge, abundant availability and material. dye in aqueous medium through process with under set variables (contact time, dosage, pH, temperature particles size) investigated....
Abstract Introduction Breast cancer (BC), the most frequently diagnosed malignancy among women worldwide, presents a public health challenge and affects mortality rates. Breast‐conserving therapy (BCT) is common treatment, but risk from residual disease necessitates radiotherapy. Digital mammography monitors treatment response by identifying post‐operative radiotherapy tissue alterations, accurate assessment of mammographic density remains challenge. This study used OpenBreast to measure...
The use of small fields has increased by the emergence advanced radiotherapy. Dose calculations these are complex and challenging for many reasons such as lack electrical equilibrium even in homogeneous environments, this complexity will increase presence heterogeneity. According to importance delivery accurate prescription dose target volume patient's body, calculation accuracy used commercial algorithms clinical treatment planning systems (TPS) should be evaluated.The present study aims...