183 citations · 235 across the 14 of their papers we have counts for
14 papers
Deep Learning Approaches in Pavement Distress Identification: A Review
Sizhe Guan, Haolan Liu, Hamid R. Pourreza +1
This paper presents a comprehensive review of recent advancements in image processing and deep learning techniques for pavement distress detection and classification, a critical as…
A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval
Saeideh Yousefzadeh, Hamidreza Pourreza, Hamidreza Mahyar
Content-based image retrieval is the process of retrieving a subset of images from an extensive image gallery based on visual contents, such as color, shape or spatial relations, a…
Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images
Mehdi SadeghiBakhi, Hamidreza Pourreza, Hamidreza Mahyar
Objective: Multiple Sclerosis (MS) is an autoimmune, and demyelinating disease that leads to lesions in the central nervous system. This disease can be tracked and diagnosed using…
Deep Learning Approaches on Image Captioning: A Review
Taraneh Ghandi, Hamidreza Pourreza, Hamidreza Mahyar
Image captioning is a research area of immense importance, aiming to generate natural language descriptions for visual content in the form of still images. The advent of deep learn…
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)
Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López +17
Rationale: Computer aided detection (CAD) algorithms for Pulmonary Embolism (PE) algorithms have been shown to increase radiologists' sensitivity with a small increase in specifici…
A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy
Meysam Tavakoli, Reza Pourreza Shahri, Hamidreza Pourreza +3
Early detection of microaneurysms (MAs), the first sign of Diabetic Retinopathy (DR), is an essential first step in automated detection of DR to prevent vision loss and blindness.…