138 citations · 220 across the 4 of their papers we have counts for
6 papers
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 in Cardiac MR Images Using Fully Convolutional Network
Mina Nasr-Esfahani, Majid Mohrekesh, Mojtaba Akbari +5
Medical image analysis, especially segmenting a specific organ, has an important role in developing clinical decision support systems. In cardiac magnetic resonance (MR) imaging, s…
Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network
Mojtaba Akbari, Majid Mohrekesh, Ebrahim Nasr-Esfahani +4
Colorectal cancer is a one of the highest causes of cancer-related death, especially in men. Polyps are one of the main causes of colorectal cancer and early diagnosis of polyps by…
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…
Hand Gesture Recognition for Contactless Device Control in Operating Rooms
Ebrahim Nasr-Esfahani, Nader Karimi, S. M. Reza Soroushmehr +4
Hand gesture is one of the most important means of touchless communication between human and machines. There is a great interest for commanding electronic equipment in surgery room…
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…