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Muhammad Anwaar Khalid
Observed name:
Khalid, Muhammad Anwaar
Institutions:
Medizinische Hochschule Hannover,
CAIMed - Niedersächsisches Zentrum für KI und Kausale Methoden in der Medizin
Observed institutions:
Medizinische Hochschule Hannover,
CAIMed - Niedersächsisches Zentrum für KI und Kausale Methoden in der Medizin,
Air University,
National University of Sciences and Technology
ORCID:
0009-0004-2037-6942
Observed ORCID:
0009-0004-2037-6942
OpenAlex ID:
A5021632161
Vision Transformers in medical computer vision—A contemplative retrospection
2023
·
Arshi Parvaiz
, Muhammad Anwaar Khalid
, et al.
·
Engineering Applications of Artificial Intelligence
·
277
PDF
A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
2025
·
Muhammad Anwaar Khalid
, Kanwal Zulfiqar
, et al.
·
Scientific Data
·
14
PDF
A two-stage regression framework for automated cephalometric landmark detection incorporating semantically fused anatomical features and multi-head refinement loss
2024
·
Muhammad Anwaar Khalid
, Atif Khurshid
, et al.
·
Expert Systems with Applications
·
13
Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-resolution Multi-modal Data
2024
·
Reeha Khan
, Muhammad Anwaar Khalid
, et al.
·
Lecture notes in computer science
·
7
'Aariz: A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
2023
·
Khalid, Muhammad Anwaar
, Zulfiqar, Kanwal
, et al.
·
arXiv (Cornell University)
·
5
PDF
CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023
2022
·
Khalid, Muhammad Anwaar
, Zulfiqar, Kanwal
, et al.
·
arXiv (Cornell University)
·
3
PDF
Detecting Extrachromosomal DNA from Routine Histopathology
2026
·
Muhammad Anwaar Khalid
, Michael Gratius
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
Enhanced Cephalometric Landmark Detection Using Multi-scale Feature Learning and Heatmap Regression
2025
·
Reeha Khan
, Muhammad Anwaar Khalid
, et al.
·
Communications in computer and information science
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Works count:
9
Citation count:
320
H-index:
5
I10-index:
3
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