1 citations · 1 across the 1 of their papers we have counts for
6 papers
Progressive Hologram Generation Based on Object Saliency
Shima Rafiei, Shahram Shirani
Computer-generated hologram (CGH) is promised to realize the next generation of 3D visual media with life-changing applications. However, one of the essential obstacles to this tec…
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…
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…
Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights
Mojtaba Akbari, Majid Mohrekesh, Shima Rafiei +4
Colorectal cancer is one of the common cancers in the United States. Polyp is one of the main causes of the colonic cancer and early detection of polyps will increase chance of can…
Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing
Shima Rafiei, Nader Karimi, Behzad Mirmahboub +4
Automatic liver segmentation plays an important role in computer-aided diagnosis and treatment. Manual segmentation of organs is a difficult and tedious task and so prone to human…