138 citations · 441 across the 68 of their papers we have counts for
15 papers · 2 filters
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…
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks
Milad Tehrani, Mahnoosh Bagheri, Mahdi Ahmadi +3
In the recent years, public use of artistic effects for editing and beautifying images has encouraged researchers to look for new approaches to this task. Most of the existing meth…
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…
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…
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network
Shima Rafiei, Ebrahim Nasr-Esfahani, S. M. Reza Soroushmehr +3
The need for CT scan analysis is growing for pre-diagnosis and therapy of abdominal organs. Automatic organ segmentation of abdominal CT scan can help radiologists analyze the scan…
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…