10 citations · 18 across the 8 of their papers we have counts for
9 papers
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation
Hamideh Kerdegari, Kyle Higgins, Dennis Veselkov +8
The integration of artificial intelligence (AI) in medical diagnostics represents a significant advancement in managing upper gastrointestinal (GI) cancer, a major cause of global…
Automatic retrieval of corresponding US views in longitudinal examinations
Hamideh Kerdegari, Tran Huy Nhat Phung1, Van Hao Nguyen +12
Skeletal muscle atrophy is a common occurrence in critically ill patients in the intensive care unit (ICU) who spend long periods in bed. Muscle mass must be recovered through phys…
Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
Michelle Iskandar, Harvey Mannering, Zhanxiang Sun +4
Prenatal ultrasound imaging is the first-choice modality to assess fetal health. Medical image datasets for AI and ML methods must be diverse (i.e. diagnoses, diseases, pathologies…
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries
Miguel Xochicale, Louise Thwaites, Sophie Yacoub +5
We present a Machine Learning (ML) study case to illustrate the challenges of clinical translation for a real-time AI-empowered echocardiography system with data of ICU patients in…
Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs
Thea Bautista, Jacqueline Matthew, Hamideh Kerdegari +2
In this work, we present an empirical study of DCGANs, including hyperparameter heuristics and image quality assessment, as a way to address the scarcity of datasets to investigate…
B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride +5
Lung ultrasound (LUS) imaging is becoming popular in the intensive care units (ICU) for assessing lung abnormalities such as the appearance of B-line artefacts as a result of sever…
Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients
Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride +6
Lung ultrasound (LUS) imaging is used to assess lung abnormalities, including the presence of B-line artefacts due to fluid leakage into the lungs caused by a variety of diseases.…
Scene and Environment Monitoring Using Aerial Imagery and Deep Learning
Mahdi Maktabdar Oghaz, Manzoor Razaak, Hamideh Kerdegari +2
Unmanned Aerial vehicles (UAV) are a promising technology for smart farming related applications. Aerial monitoring of agriculture farms with UAV enables key decision-making pertai…
Semi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs
Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou +1
Unmanned aerial vehicles (UAV) are used in precision agriculture (PA) to enable aerial monitoring of farmlands. Intelligent methods are required to pinpoint weed infestations and m…