3 citations · 3 across the 2 of their papers we have counts for
7 papers
Adaptive Control of Embedding Strength in Image Watermarking using Neural Networks
Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi +1
Digital image watermarking has been widely used in different applications such as copyright protection of digital media, such as audio, image, and video files. Two opposing criteri…
Adaptive specular reflection detection and inpainting in colonoscopy video frames
Mojtaba Akbari, Majid Mohrekesh, S. M. Reza Soroushmehr +3
Colonoscopy video frames might be contaminated by bright spots with unsaturated values known as specular reflection. Detection and removal of such reflections could enhance the qua…
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…
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…
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…
RIBBONS: Rapid Inpainting Based on Browsing of Neighborhood Statistics
Mojtaba Akbari, Majid Mohrekesh, Nader Karimi +1
Image inpainting refers to filling missing places in images using neighboring pixels. It also has many applications in different tasks of image processing. Most of these applicatio…