8 citations · 12 across the 7 of their papers we have counts for
7 papers
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Zahra Sobhaninia, Shima Rafiei, Ali Emami +4
Ultrasound imaging is a standard examination during pregnancy that can be used for measuring specific biometric parameters towards prenatal diagnosis and estimating gestational age…
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Safiyeh Rezaei, Ali Emami, Hamidreza Zarrabi +5
Histopathology images contain essential information for medical diagnosis and prognosis of cancerous disease. Segmentation of glands in histopathology images is a primary step for…
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network
Mohsen Hajabdollahi, Reza Esfandiarpoor, Elyas Sabeti +4
Automating classification and segmentation process of abnormal regions in different body organs has a crucial role in most of medical imaging applications such as funduscopy, endos…
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network
Shima Rafiei, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr +3
The need for CT scan analysis is growing for pre-diagnosis and therapy of abdominal organs. Automatic organ segmentation of abdominal CT scan can help radiologists analyze the scan…
Adaptive specular reflection detection and inpainting in colonoscopy video frames
Mojtaba Akbari, Majid Mohrekesh, S. M. Reza Soroushmehr +3
Colonoscopy video frames might be contaminated by bright spots with unsaturated values known as specular reflection. Detection and removal of such reflections could enhance the qua…
Low complexity convolutional neural network for vessel segmentation in portable retinal diagnostic devices
M. Hajabdollahi, R. Esfandiarpoor, S. M. R. Soroushmehr +3
Retinal vessel information is helpful in retinal disease screening and diagnosis. Retinal vessel segmentation provides useful information about vessels and can be used by physician…
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background
Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi +4
By increasing the volume of telemedicine information, the need for medical image compression has become more important. In angiographic images, a small ratio of the entire image us…