66 citations · 168 across the 14 of their papers we have counts for
14 papers
A Recent Survey of Vision Transformers for Medical Image Segmentation
Asifullah Khan, Zunaira Rauf, Abdul Rehman Khan +13
Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally, convolut…
COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images
Saddam Hussain Khan
COVID-19 is a new pathogen that first appeared in the human population at the end of 2019, and it can lead to novel variants of pneumonia after infection. COVID-19 is a rapidly spr…
A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection
Saddam Hussain Khan, Wasi Ullah
Security issues are threatened in various types of networks, especially in the Internet of Things (IoT) environment that requires early detection. IoT is the network of real-time d…
Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN
Mirza Mumtaz Zahoor, Saddam Hussain Khan
Brain tumor classification is crucial for clinical analysis and an effective treatment plan to cure patients. Deep learning models help radiologists to accurately and efficiently a…
COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs
Saddam Hussain Khan
In December 2019, the global pandemic COVID-19 in Wuhan, China, affected human life and the worldwide economy. Therefore, an efficient diagnostic system is required to control its…
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif +3
The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoing threat to humans worldwide, creating a health crisis that infected millions of lives, as well as devastat…
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles
Suleman Qamar, Saddam Hussain Khan, Muhammad Arif Arshad +2
Autonomous modeling of artificial swarms is necessary because manual creation is a time intensive and complicated procedure which makes it impractical. An autonomous approach emplo…
A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Saddam Hussain Khan +1
Brain tumors analysis is important in timely diagnosis and effective treatment to cure patients. Tumor analysis is challenging because of tumor morphology like size, location, text…
IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN
Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal +1
Interaction between devices, people, and the Internet has given birth to a new digital communication model, the Internet of Things (IoT). The seamless network of these smart device…
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
Saddam Hussain Khan, Asifullah Khan, Yeon Soo Lee +2
Automatic segmentation of shoulder muscle MRI is challenging due to the high variation in muscle size, shape, texture, and spatial position of tears. Manual segmentation of tear an…
Malware Classification Using Deep Boosted Learning
Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal +2
Malicious activities in cyberspace have gone further than simply hacking machines and spreading viruses. It has become a challenge for a nations survival and hence has evolved to c…
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan
COVID-19 is a highly contagious respiratory infection that has affected a large population across the world and continues with its devastating consequences. It is imperative to det…
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks
Saddam Hussain Khan, Anabia Sohail, Asifullah Khan +1
COVID-19 is a global health problem. Consequently, early detection and analysis of the infection patterns are crucial for controlling infection spread as well as devising a treatme…
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
Uzair Ahmed, Asifullah Khan, Saddam Hussain Khan +3
A churn prediction system guides telecom service providers to reduce revenue loss. However, the development of a churn prediction system for a telecom industry is a challenging tas…