13 citations · 28 across the 10 of their papers we have counts for
10 papers
Trust but Verify: Mitigating Medical Hallucinations via Post-Hoc Adversarial Auditing and Multi-Agent Feedback Loops
Muhammad Osama, Maheera Amjad, Zartasha Mustansar +2
Large Language Models (LLMs) are increasingly deployed in healthcare settings, yet their tendency to hallucinate poses risks when clinical decisions are involved. This study examin…
Pixel Wised Lesion Prediction on COVID-19 CT Imagery: A Comparative Analysis of Automated Image Segmentation Architectures
Sarmad Khan, Basim Azam, Arslan Shaukat
In recent years, there has been a notable increase in the level of attention that is given to algorithms based on deep learning in the context of medical image segmentation. Nevert…
A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery
Sarmad Khan, Basim Azam, Arslan Shaukat
COVID-19 was a significant challenge that led to the loss of numerous lives daily. Not only a certain country was involved in this outbreak, but even the world has suffered because…
Automatic Classification of White Blood Cell Images using Convolutional Neural Network
Rabia Asghar, Arslan Shaukat, Usman Akram +1
Human immune system contains white blood cells (WBC) that are good indicator of many diseases like bacterial infections, AIDS, cancer, spleen, etc. White blood cells have been sub…
Classification of White Blood Cells Using Machine and Deep Learning Models: A Systematic Review
Rabia Asghar, Sanjay Kumar, Paul Hynds +1
Machine learning (ML) and deep learning (DL) models have been employed to significantly improve analyses of medical imagery, with these approaches used to enhance the accuracy of p…
Analysis of Growing Tumor on the Flow Velocity of Cerebrospinal Fluid in Human Brain Using Computational Modeling and Fluid-Structure Interaction
Muhammad Uzair-Ul-Haq, Ali Ahmed, Zartasha Mustansar +4
Cerebrospinal fluid (CSF) plays a pivotal role in normal functioning of Brain. Intracranial compartments such as blood, brain and CSF are incompressible in nature. Therefore, if a…
A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax using Class-Imbalanced Chest X-rays Dataset
Tahira Iqbal, Arslan Shaukat, Usman Akram +2
Pneumothorax, a life threatening disease, needs to be diagnosed immediately and efficiently. The prognosis in this case is not only time consuming but also prone to human errors. S…
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review
Tahira Iqbal, Arslan Shaukat, Usman Akram +1
Among various medical imaging tools, chest radiographs are the most important and widely used diagnostic tool for detection of thoracic pathologies. Research is being carried out i…
Exploring Language-Independent Emotional Acoustic Features via Feature Selection
Arslan Shaukat, Ke Chen
We propose a novel feature selection strategy to discover language-independent acoustic features that tend to be responsible for emotions regardless of languages, linguistics and o…
Emotional State Categorization from Speech: Machine vs. Human
Arslan Shaukat, Ke Chen
This paper presents our investigations on emotional state categorization from speech signals with a psychologically inspired computational model against human performance under the…