202 citations · 295 across the 10 of their papers we have counts for
11 papers
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…
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…
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…
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…
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon +5
This Perspective provides examples of current and future applications of deep learning in pharmacogenomics, including: (1) identification of novel regulatory variants located in no…
Dense Pooling layers in Fully Convolutional Network for Skin Lesion Segmentation
Ebrahim Nasr-Esfahani, Shima Rafiei, Mohammad H. Jafari +5
One of the essential tasks in medical image analysis is segmentation and accurate detection of borders. Lesion segmentation in skin images is an essential step in the computerized…
Power Aware Visual Sensor Network for Wildlife Habitat Monitoring
Mohsen Hooshmand, Shadrokh Samavi, S. M. Reza Soroushmehr
One of the fundamental issue in wireless sensor network is conserving energy and thus extending the lifetime of the network. In this paper we investigate the coverage problem in ca…
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…
Real-Time Impulse Noise Removal from MR Images for Radiosurgery Applications
Zohreh HosseinKhani, Mohsen Hajabdollahi, Nader Karimi +4
In the recent years image processing techniques are used as a tool to improve detection and diagnostic capabilities in the medical applications. Medical applications have been so m…
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning
Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi +3
Melanoma is amongst most aggressive types of cancer. However, it is highly curable if detected in its early stages. Prescreening of suspicious moles and lesions for malignancy is o…