A5078874904- Photoacoustic and Ultrasonic Imaging
- Coronary Interventions and Diagnostics
- Cardiac Valve Diseases and Treatments
- Cardiac Imaging and Diagnostics
- Optical Coherence Tomography Applications
- Mechanical Circulatory Support Devices
- Electromagnetic Simulation and Numerical Methods
- Brain Tumor Detection and Classification
- Gyrotron and Vacuum Electronics Research
- Microwave Engineering and Waveguides
- Cardiac Arrhythmias and Treatments
- Cerebrovascular and Carotid Artery Diseases
- Hemodynamic Monitoring and Therapy
- Cardiac pacing and defibrillation studies
- Retinal Imaging and Analysis
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Electric and Hybrid Vehicle Technologies
- Antenna Design and Analysis
- Full-Duplex Wireless Communications
- Extracellular vesicles in disease
- Optical Imaging and Spectroscopy Techniques
- Diabetes Management and Education
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cardiac Structural Anomalies and Repair
New York University
2023-2025
Ollscoil na Gaillimhe – University of Galway
2015-2024
University of Edinburgh
2023-2024
National University of Computer and Emerging Sciences
2024
Norwegian University of Science and Technology
2024
University of Sheffield
2020-2022
Brookdale University Hospital and Medical Center
2021
Riphah International University
2021
Croí
2018
Government College University, Lahore
2017
Deep Neural Networks have offered numerous innovative solutions to brain-related diseases including Alzheimer’s. However, there are still a few standpoints in terms of diagnosis and planning that can be transformed via quantum Machine Learning (QML). In this study, we present hybrid classical–quantum machine learning model for the detection Alzheimer’s using 6400 labeled MRI scans with two classes. Hybrid transfer is used, which makes it possible optimally pre-process complex...
Artificial intelligence is serving as an impetus in digital health, clinical support, and health informatics for informed patient's outcome. Previous studies only consider classification accuracies of cardiotocographic (CTG) datasets disregard computational time, which a relevant parameter environment. This paper proposes modified deep neural algorithm to classify untapped pathological suspicious CTG recordings with the desired time complexity. In our newly developed algorithm, AlexNet...
Heart failure (HF) is a multi-faceted, complex clinical syndrome characterized by significant morbidity, high mortality rate, reduced quality of life, and rapidly increasing healthcare costs. A larger proportion these costs comprise both ambulatory emergency department visits, as well hospital admissions. Despite the methods used telehealth (TH) to improve self-care patient outcomes remain poor. HF management associated with numerous challenges, such conflicting evidence from trials,...
Photoacoustic imaging (PAI) with a linear-array-based probe can provide convenient means of the human microcirculation within its native structural context and adds functional information. PAI using multielement linear transducer array combined multichannel collecting system was used for in vivo volumetric blood microcirculation, total concentration hemoglobin (HbT), oxygen saturation (sO2) tissue. Three-dimensional (3-D) PA ultrasound (US) scans were acquired from forearm skin by linearly...
To fabricate multimodal nanoconstruct that act as a single node for photoacoustic imaging (PAI) and photothermal therapy (PTT) in the fight against cancer.Dual plasmonic gold nanostars (DPGNS) were chemically synthesized by reducing precursor using ascorbic acid silver ions shape directing agent. PAI PTT performed commonly available 1064 nm laser source on DPGNS embedded tumor xenografts mice.Photoacoustic amplitude increase with longer wavelength silica coating of DPGNS. The vivo capability...
Deep neural networks have led to a substantial incursion for multifaceted classification tasks by making use of large-scale and diverse annotated datasets. However, optical coherence tomography (OCT) datasets in the cardiovascular imaging remains an uphill task. This research focuses on improving diversity generalization ability augmentation architectures while maintaining baseline accuracy coronary atrial plaques using novel dual generators dynamically fused discriminators conditional...
Generative Adversarial Networks (GANs) prioritize pixel-level attributes over capturing the entire image distribution which is critical in synthesis. To address this challenge, we propose (DSCLPGAN) a dual-stream generator coupled with contrastive latent projection (CLP) for robust augmentation of MRI images. The dual- stream our architecture incorporates two specialized processing pathways: one dedicated to local feature variation modeling, while other captures global structural...
Generative adversarial networks (GANs) prioritize pixel-level attributes over capturing the entire image distribution, which is critical in synthesis. To address this challenge, we propose a dual-stream contrastive latent projection generative network (DSCLPGAN) for robust augmentation of MRI images. The generator our architecture incorporates two specialized processing pathways: one dedicated to local feature variation modeling, while other captures global structural transformations,...
The main objective of this study was to assess the blood flow rate and velocity in coronary artery stenosis using intracoronary frequency domain optical coherence tomography (FD-OCT). A correlation between fractional reserve (FFR) FD-OCT derived is also included study. total 20 stenoses 15 patients were assessed consecutively by quantitative angiography (QCA), FFR FD-OCT. percutaneous intervention (PCI) optimization system used which combines wireless measurement imaging one platform....
Frequency domain optical coherence tomography (FD-OCT) provides cross-sectional images of coronary arteries and deployed stents with micron resolution measures lumen dimensions excellent reproducibility. FD-OCT combined a blood flow resistances model can overcome many limitations conventional stenosis severity based on quantitative angiography (QCA) intravascular ultrasound (IVUS). The aim this feasibility study was to investigate the relationship between pressure derived fractional reserve...
The sudden rupture of an atherosclerotic plaque is one the main causes stroke and induced death. Plaque composition plays a critical role in rupture. In order to differentiate between different components, imaging technique suitable for patient follow-up needed. Photoacoustic (PA) (PAI), relatively new technique, can also be used cardiovascular as it resolves optical contrast with ultrasonic resolution, visualizes oxygenated deoxygenated haemoglobin large range agents. PAI visualize...
Vascular abnormalities play an acute role in the pathogenesis of psoriasis. In order to characterize vascular involvement psoriasis and its regular clinical assessment vivo, non-invasive high speed imaging with resolution sensitivity is needed.The correlation mapping optical coherence tomography (cmOCT) technique was used for vivo microcirculation human forearm under normal psoriatic conditions. The cmOCT developed by our group uses dense scanning OCT image acquisition post-processing...
The assessment of occupationally exposed medical radiation workers at the Institute Nuclear Medicine and Oncology (INMOL), Pakistan has been perfomed. whole-body exposure doses 120 in nuclear medicine (NM), radiotherapy (RT) diagnostic radiology (DR) were measured by using film badge dosimetry technique for time interval (2007-11) their results presented. annual average effective NM, RT DR found to be well below permissible limit 20 mSv (averaged over a period 5 consecutive y). declining...
Abstract Unleashing the potential of distributed renewable energy sources (RESs), intelligent and autonomous microgrids are becoming pivotal in attaining net‐zero carbon emission goals. Hybrid AC/DC rise as cutting‐edge microgrid topologies, capitalising on best both AC DC systems. However, integration intermittent renewables uncertainties loading poses stability challenges. Advanced bidirectional converter controls provide efficient power exchange, but extreme contingencies, a resilient...
Introduction Mobile applications have become indispensable in our daily lives. However, mobile application development faces several challenges, including limited resources, budget, and time to market. The current state of the practice intends develop Graphical User Interface (GUI), business logic, controller class separately, which is a time-consuming error-prone process. generation GUI significant concern applications. Methods This work presents model-driven engineering approach for...