most citedBrain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images

72 citations · 72 across the 4 of their papers we have counts for

collaborators

5 papers

cs.MM2019

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…

eess.IV2019

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…

cs.CV2018★ 72 cited

Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images

Zahra Sobhaninia, Safiyeh Rezaei, Alireza Noroozi +5

Recently deep learning has been playing a major role in the field of computer vision. One of its applications is the reduction of human judgment in the diagnosis of diseases. Espec…

cs.CV2018

Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain

Hamidreza Zarrabi, Mohsen Hajabdollahi, S. M. Reza Soroushmehr +3

Reversible image watermarking guaranties restoration of both original cover and watermark logo from the watermarked image. Capacity and distortion of the image under reversible wat…

cs.MM2018

Adaptive Reversible Watermarking Based on Linear Prediction for Medical Videos

Hamidreza Zarrabi, Ali Emami, Nader Karimi +1

Reversible video watermarking can guarantee that the watermark logo and the original frame can be recovered from the watermarked frame without any distortion. Although reversible v…