7 citations · 16 across the 3 of their papers we have counts for
3 papers
'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir +5
The accurate identification and precise localization of cephalometric landmarks enable the classification and quantification of anatomical abnormalities. The traditional way of mar…
CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023
Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir +5
Quantitative cephalometric analysis is the most widely used clinical and research tool in modern orthodontics. Accurate localization of cephalometric landmarks enables the quantifi…
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar +3
Recent escalation in the field of computer vision underpins a huddle of algorithms with the magnificent potential to unravel the information contained within images. These computer…