most citedA Comprehensive Study on Medical Image Segmentation using Deep Neural Networks

8 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI20251 cited

Ontology-based knowledge representation for bone disease diagnosis: a foundation for safe and sustainable medical artificial intelligence systems

Loan Dao, Ngoc Quoc Ly

Medical artificial intelligence (AI) systems frequently lack systematic domain expertise integration, potentially compromising diagnostic reliability. This study presents an ontolo…

cs.CV20252 cited

Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology

Ngoc Q. Ly, Hieu N. M. Cao, Thi T. Nguyen

Person Re-Identification (Re-ID) is a very important task in video surveillance systems such as tracking people, finding people in public places, or analysing customer behavior in…

eess.IV20258 cited

Recent Advances in Medical Image Classification

Loan Dao, Ngoc Quoc Ly

Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the…

eess.IV20258 cited

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks

Loan Dao, Ngoc Quoc Ly

Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future develo…

cs.CV2024

Unifying Global and Local Scene Entities Modelling for Precise Action Spotting

Kim Hoang Tran, Phuc Vuong Do, Ngoc Quoc Ly +1

Sports videos pose complex challenges, including cluttered backgrounds, camera angle changes, small action-representing objects, and imbalanced action class distribution. Existing…