9 citations · 14 across the 5 of their papers we have counts for
5 papers
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning
Peyman Tahghighi, Reza A. Zoroofi, Sare Safi +1
For medical diagnosis based on retinal images, a clear understanding of 3D structure is often required but due to the 2D nature of images captured, we cannot infer that information…
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks
Peyman Tahghighi, Reza A. Zoroofi, Sare Safi +1
For screening, 3D shape of the eye retina often provides structural information and can assist ophthalmologists to diagnose diseases. However, fundus images which are one the most…
Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study
Ata Jodeiri, Yoshito Otake, Reza A. Zoroofi +5
Alignment of the bones in standing position provides useful information in surgical planning. In total hip arthroplasty (THA), pelvic sagittal inclination (PSI) angle in the standi…
Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph
Ata Jodeiri, Reza A. Zoroofi, Yuta Hiasa +4
With the increasing usage of radiograph images as a most common medical imaging system for diagnosis, treatment planning, and clinical studies, it is increasingly becoming a vital…
Sequential Clustering based Facial Feature Extraction Method for Automatic Creation of Facial Models from Orthogonal Views
Alireza Ghahari, Reza Aghaeizadeh Zoroofi
Multiview 3D face modeling has attracted increasing attention recently and has become one of the potential avenues in future video systems. We aim to make more reliable and robust…