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20162018
most citedDeep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification

202 citations · 295 across the 10 of their papers we have counts for

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Showing cs.CVShow all

7 papers · 1 filter

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★ 16 cited

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★ 1 cited

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…

cs.CV2018★ 3 cited

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

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…

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…

cs.CV2016★ 70 cited

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…