CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023. - Muhammad Anwaar Khalid; Kanwal Zulfiqar; Ulfat Bashir; Areeba Shaheen; Rida Iqbal; Zarnab Rizwan; Ghina Rizwan; Muhammad Moazam Fraz (CoRR, 2022)

'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification. - Muhammad Anwaar Khalid; Kanwal Zulfiqar; Ulfat Bashir; Areeba Shaheen; Rida Iqbal; Zarnab Rizwan; Ghina Rizwan; Muhammad Moazam Fraz (CoRR, 2023)

Vision Transformers in medical computer vision - A contemplative retrospection. - Arshi Parvaiz; Muhammad Anwaar Khalid; Rukhsana Zafar; Huma Ameer; Muhammad Zeeshan Ali; Muhammad Moazam Fraz (Eng. Appl. Artif. Intell., 2023)

Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data. - Reeha Khan; Muhammad Anwaar Khalid; Kanwal Zulfiqar; Ulfat Bashir; Muhammad Moazam Fraz (MIUA (2), 2024)

A two-stage regression framework for automated cephalometric landmark detection incorporating semantically fused anatomical features and multi-head refinement loss. - Muhammad Anwaar Khalid; Atif Khurshid; Kanwal Zulfiqar; Ulfat Bashir; Muhammad Moazam Fraz (Expert Syst. Appl., 2024)