141 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Habib UniversityPK4 papers
- Aston UniversityGB1 paper
- Children's NationalUS1 paper
- Computer Network Information CenterCN1 paper
- George Washington UniversityUS1 paper
- Hamdard UniversityPK1 paper
- Massachusetts General HospitalUS1 paper
- Quaid-e-Awam University of Engineering, Science and TechnologyPK1 paper
- The University of Texas MD Anderson Cancer CenterUS1 paper
- University of Chinese Academy of SciencesCN1 paper
- University of StirlingGB1 paper
- Walton Institute for Information and Communications Systems Science1 paper
5 papers
Foundation Models in Biomedical Imaging: Turning Hype into Reality
Amgad Muneer, Kai Zhang, Ibraheem Hamdi +6
Foundation models (FMs) are driving a prominent shift in biomedical imaging from task-specific models to unified backbone models for diverse tasks. This opens an avenue to integrat…
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
Sidra Nasir, Rizwan Ahmed Khan, Samita Bai
In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has become pervasive across a spectrum of real-world applications, often in safety-critic…
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features
Unaiza Sajid, Rizwan Ahmed Khan, Shahid Munir Shah +1
Breast cancer is one of the leading causes of death among women across the globe. It is difficult to treat if detected at advanced stages, however, early detection can significantl…
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution
Fayaz Ali Dharejo, Farah Deeba, Yuanchun Zhou +5
Single Image Super-resolution (SISR) produces high-resolution images with fine spatial resolutions from aremotely sensed image with low spatial resolution. Recently, deep learning…
A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)
Hamza Sharif, Rizwan Ahmed Khan
Computer vision and machine learning are the linchpin of field of automation. The medicine industry has adopted numerous methods to discover the root causes of many diseases in ord…