66 citations · 92 across the 7 of their papers we have counts for
5 papers · 1 filter
Demographic-aware fine-grained visual recognition of pediatric wrist pathologies
Ammar Ahmed, Ali Shariq Imran, Zenun Kastrati +1
Pediatric wrist pathologies recognition from radiographs is challenging because normal anatomy changes rapidly with development: evolving carpal ossification and open physes can re…
Navigating limitations with precision: A fine-grained ensemble approach to wrist pathology recognition on a limited x-ray dataset
Ammar Ahmed, Ali Shariq Imran, Mohib Ullah +2
The exploration of automated wrist fracture recognition has gained considerable research attention in recent years. In practical medical scenarios, physicians and surgeons may lack…
Metadata augmented deep neural networks for wild animal classification
Aslak Tøn, Ammar Ahmed, Ali Shariq Imran +2
Camera trap imagery has become an invaluable asset in contemporary wildlife surveillance, enabling researchers to observe and investigate the behaviors of wild animals. While exist…
Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset
Ammar Ahmed, Ali Shariq Imran, Zenun Kastrati +3
Wrist pathologies, {particularly fractures common among children and adolescents}, present a critical diagnostic challenge. While X-ray imaging remains a prevalent diagnostic tool,…
Enhancing Wrist Fracture Detection with YOLO
Ammar Ahmed, Ali Shariq Imran, Abdul Manaf +2
Diagnosing and treating abnormalities in the wrist, specifically distal radius, and ulna fractures, is a crucial concern among children, adolescents, and young adults, with a highe…