A5031484678- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Digital Imaging for Blood Diseases
- Face recognition and analysis
- Biometric Identification and Security
- Advanced Neural Network Applications
- Retinal Imaging and Analysis
- Artificial Intelligence in Healthcare and Education
- Lung Cancer Diagnosis and Treatment
- Brain Tumor Detection and Classification
- Medical Imaging and Analysis
- Advanced Image Processing Techniques
- COVID-19 and healthcare impacts
- Video Surveillance and Tracking Methods
- Obstructive Sleep Apnea Research
- Generative Adversarial Networks and Image Synthesis
- Misinformation and Its Impacts
- Cell Image Analysis Techniques
- COVID-19 Pandemic Impacts
- Spam and Phishing Detection
- Colorectal Cancer Screening and Detection
- COVID-19 Clinical Research Studies
- Sentiment Analysis and Opinion Mining
- Advanced Image and Video Retrieval Techniques
Emory University
2024-2025
Hamdard University
2023-2025
Khalifa University of Science and Technology
2023-2024
Dow University of Health Sciences
2012-2024
University of Engineering and Technology Lahore
2023-2024
Emory Clinic
2024
National University of Sciences and Technology
2021-2023
Dongguk University
2018-2023
Riphah International University
2023
Ayub Agriculture Research Institute
2023
Breast cancer is the leading cause of mortality in women. Early diagnosis breast can reduce rate. In diagnosis, mitotic cell count an important biomarker for predicting aggressiveness, prognosis, and grade cancer. general, pathologists manually examine histopathology images under high-resolution microscopes detection cells. However, because minute differences between normal cells, this process tiresome, time-consuming, subjective. To overcome these challenges, artificial-intelligence-based...
The recent advancements in computer vision have opened new horizons for deploying biometric recognition algorithms mobile and handheld devices. Similarly, iris is now much needed unconstraint scenarios with accuracy. These environments make the acquired image exhibit occlusion, low resolution, blur, unusual glint, ghost effect, off-angles. prevailing segmentation cannot cope these constraints. In addition, owing to unavailability of near-infrared (NIR) light, visible light environment makes...
Automatic segmentation of retinal images is an important task in computer-assisted medical image analysis for the diagnosis diseases such as hypertension, diabetic and hypertensive retinopathy, arteriosclerosis. Among diseases, which leading cause vision detachment, can be diagnosed early through detection vessels. The manual these vessels a time-consuming process that automated with help artificial intelligence deep learning. difficult due to intensity variation noise from non-ideal...
Medical-image-based diagnosis is a tedious task‚ and small lesions in various medical images can be overlooked by experts due to the limited attention span of human visual system, which adversely affect treatment. However, this problem resolved exploring similar cases previous database through an efficient content-based image retrieval (CBMIR) system. In past few years, heterogeneous imaging databases have been growing rapidly with advent different types modalities. Recently, doctor usually...
Various techniques using artificial intelligence (AI) have resulted in a significant contribution to field of medical image and video-based diagnoses, such as radiology, pathology, endoscopy, including the classification gastrointestinal (GI) diseases. Most previous studies on GI diseases use only spatial features, which demonstrate low performance multiple Although there are few temporal features based three-dimensional convolutional neural network, specific part tract was involved with...
Glaucoma is one of the most common chronic diseases that may lead to irreversible vision loss. The number patients with permanent loss due glaucoma expected increase at an alarming rate in near future. A considerable amount research being conducted on computer-aided diagnosis for glaucoma. Segmentation optic cup (OC) and disc (OD) usually performed distinguish glaucomatous non-glaucomatous cases retinal fundus images. However, OC boundaries are quite non-distinctive; consequently, accurate...
In December 2019, the global pandemic COVID-19 in Wuhan, China, affected human life and worldwide economy. Therefore, an efficient diagnostic system is required to control its spread. However, automatic poses challenges with a limited amount of labeled data, minor contrast variation, high structural similarity between infection background. this regard, new two-phase deep convolutional neural network (CNN) based proposed detect minute irregularities analyze infection. first phase, novel...
Background Tuberculosis (TB) is one of the most infectious diseases that can be fatal. Its early diagnosis and treatment significantly reduce mortality rate. In literature, several computer-aided (CAD) tools have been proposed for efficient TB from chest radiograph (CXR) images. However, majority previous studies adopted conventional handcrafted feature-based algorithms. addition, some recent CAD utilized strength deep learning methods to further enhance diagnostic performance. Nevertheless,...
Microbial fuel cell (MFC) has received much attention in the last decade as a promising technology to simultaneously generate electricity and decontaminate wastewater. This study aims quantitatively review published literature on MFC, period of 1970–2020, based Web Science (WoS) database. For first time literature, comprehensive quantitative MFC been conducted by employing technique bibliometric content analyses. A total 11,397 publications have retrieved from WoS, out which 81.6% are...
Automatic chest anatomy segmentation plays a key role in computer-aided disease diagnosis, such as for cardiomegaly, pleural effusion, emphysema, and pneumothorax. Among these diseases, cardiomegaly is considered perilous disease, involving high risk of sudden cardiac death. It can be diagnosed early by an expert medical practitioner using X-Ray (CXR) analysis. The cardiothoracic ratio (CTR) transverse diameter (TCD) are the clinical criteria used to estimate heart size diagnosing...
Re-operations and revisions are often performed in patients who have undergone total shoulder arthroplasty (TSA) reverse (RTSA). This necessitates an accurate recognition of the implant model manufacturer to set correct apparatus procedure according patient’s anatomy as personalized medicine. Owing unavailability ambiguity medical data a patient, expert surgeons identify implants through visual comparison X-ray images. False steps cause heedlessness, morbidity, extra monetary weight, waste...
Abstract Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There a growing interest developing automated screening tools for potential health problems biological markers. Here, we demonstrate feasibility an AI-powered diagnosis different disorders using EEG data. Specifically, this work aims to classify following ecological context accurately: (1) raw data, (2) collected during rest, (3) both eye open, and closed...
Road congestion is mostly common in developing countries where the traffic heterogeneous and there no proper lane discipline. Typical live state can be identified with help of IoT-based technologies such as feature Google Maps. One also identify points using this which varies through different times day affect road capacity. In research, that were by Maps are examined conducting a route-specific survey. The survey conducted at on weekdays weekends to assess variably number points....
Ogilvie's syndrome is characterized by acute dilatation of the colon without any anatomic obstruction. It presents with signs and symptoms small or large bowel The management could be challenging, especially in critically chronically ill patients. We present a case 65-year-old male patient who developed extensive colonic ileus following prolonged hospitalization. discuss different strategies that we adopted.
Objectives: Coronary artery disease remains a major contributor to global morbidity and mortality, primarily driven by atherosclerosis. Genetic variations adipocytokines like omentin-1 leptin play critical roles in inflammatory pathways atherosclerotic processes. This study aims evaluate the association of Cdx2 (A>G) variant, with CAD risk Pakistani population. Methods: case-control comprised 500 angiographically confirmed patients age- gender-matched healthy controls. Detailed...
Psychological stress is linked to elevated salivary cortisol levels, potentially worsening periodontitis by exacerbating inflammation. This study examines the impact of on levels in patients, aiming explore as a biomarker for disease severity and its role improving management strategies. case-control study, conducted at Dow University Health Sciences Karachi from January December 2022, involved 120 dental clinic patients aged 30–60. Participants were selected based presence (cases) or...
Ophthalmological analysis plays a vital role in the diagnosis of various eye diseases, such as glaucoma, retinitis pigmentosa (RP), and diabetic hypertensive retinopathy. RP is genetic retinal disorder that leads to progressive vision degeneration initially causes night blindness. Currently, most commonly applied method for diagnosing diseases optical coherence tomography (OCT)-based disease analysis. In contrast, fundus imaging-based considered low-cost diagnostic solution diseases. This...
Among the existing biometrics methods, finger-vein recognition is beneficial because finger-veins patterns are locate under skin and thus difficult to forge. Moreover, user convenience high non-invasive image capturing devices used for recognition. In real environments, however, optical blur can occur while images du both scattering caused by light in layer lens focus mismatch finger movement. The blurred generated this manner cause severe performance degradation majority of previous studies...