most citedReal-Time Impulse Noise Removal from MR Images for Radiosurgery Applications

3 citations · 3 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CV2018

Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference

Alireza Norouzi, Ali Emami, S. M. Reza Soroushmehr +3

Deep neural networks have shown great achievements in solving complex problems. However, there are fundamental problems that limit their real world applications. Lack of measurable…

cs.CV2018

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…

cs.CV2018

Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks

Atefe Rajaeefar, Ali Emami, S. M. Reza Soroushmehr +3

Recent advances in capsule endoscopy systems have introduced new methods and capabilities. The capsule endoscopy system, by observing the entire digestive tract, has significantly…

eess.IV2018

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…

cs.CV2018

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…

cs.CV2017

Vessel Segmentation and Catheter Detection in X-Ray Angiograms Using Superpixels

Hamid R. Fazlali, Nader Karimi, S. M. Reza Soroushmehr +5

Coronary artery disease (CAD) is the leading causes of death around the world. One of the most common imaging methods for diagnosing this disease is X-ray angiography. Diagnosing u…