436 citations · 458 across the 5 of their papers we have counts for
5 papers
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation
Zunaira Rauf, Abdul Rehman Khan, Asifullah Khan
Accurate nuclei segmentation is an essential foundation for various applications in computational pathology, including cancer diagnosis and treatment planning. Even slight variatio…
Particle Multi-Axis Transformer for Jet Tagging
Muhammad Usman, M Husnain Shahid, Maheen Ejaz +5
Jet tagging is an essential categorization problem in high energy physics. In recent times, Deep Learning has not only risen to the challenge of jet tagging but also significantly…
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…
A survey of the Vision Transformers and their CNN-Transformer based Variants
Asifullah Khan, Zunaira Rauf, Anabia Sohail +4
Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with the…
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Abdul Rehman Khan, Asifullah Khan
Since their emergence, Convolutional Neural Networks (CNNs) have made significant strides in medical image analysis. However, the local nature of the convolution operator may pose…