72 citations · 85 across the 15 of their papers we have counts for
5 papers · 1 filter
Gland Segmentation in Histopathological Images by Deep Neural Network
Safiye Rezaei, Ali Emami, Nader Karimi +1
Histology method is vital in the diagnosis and prognosis of cancers and many other diseases. For the analysis of histopathological images, we need to detect and segment all gland s…
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
Zahra Sobhaninia, Ali Emami, Nader Karimi +1
One of the routine examinations that are used for prenatal care in many countries is ultrasound imaging. This procedure provides various information about fetus health and developm…
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks
Hamidreza Zarrabi, Ali Emami, Pejman Khadivi +2
Nowadays, with the development of public network usage, medical information is transmitted throughout the hospitals. The watermarking system can help for the confidentiality of med…
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…