25 citations · 70 across the 16 of their papers we have counts for
7 papers · 1 filter
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…
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames
Mohsen Hajabdollahi, Reza Esfandiarpoor, Pejman Khadivi +4
Wireless capsule endoscopy (WCE) is an effective mean for diagnosis of gastrointestinal disorders. Detection of informative scenes in WCE video could reduce the length of transmitt…
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…
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy Images an Approach for inside Capsule Video Summarization
Mohsen Hajabdollahi, Reza Esfandiarpoor, S. M. Reza Soroushmehr +3
Wireless capsule endoscopy (WCE) is an effective means of diagnosis of gastrointestinal disorders. Detection of informative scenes by WCE could reduce the length of transmitted vid…
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…
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…
Context aware saliency map generation using semantic segmentation
Mahdi Ahmadi, Mohsen Hajabdollahi, Nader Karimi +1
Saliency map detection, as a method for detecting important regions of an image, is used in many applications such as image classification and recognition. We propose that context…