2 citations · 3 across the 5 of their papers we have counts for
5 papers
MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models
Tariq M. Khan, Syed Saud Naqvi, Thantrira Porntaveetus +4
Medical image segmentation is often framed as a search for stronger architectures, but this can obscure a more fundamental question: what does the dataset require from the model? I…
The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective
Tariq M Khan, Toufique Ahmed Soomro, Imran Razzak
Retinal imaging has emerged as a powerful, non-invasive modality for detecting and quantifying biomarkers of systemic diseases-ranging from diabetes and hypertension to Alzheimer's…
Region Guided Attention Network for Retinal Vessel Segmentation
Syed Javed, Tariq M. Khan, Abdul Qayyum +2
Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the…
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
Syed Javed, Tariq M. Khan, Abdul Qayyum +3
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis. While deep learning techniques excel at thi…
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation
Tariq M Khan, Syed S. Naqvi, Erik Meijering
Segmentation is an important task in a wide range of computer vision applications, including medical image analysis. Recent years have seen an increase in the complexity of medical…