138 citations · 441 across the 68 of their papers we have counts for
7 papers · 1 filter
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi +1
Brain tumor analysis in MRI images is a significant and challenging issue because misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages incre…
Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels
Mohammad H. Givkashi, Mahshid Hadipour, Arezoo PariZanganeh +3
Image inpainting is an effective method to enhance distorted digital images. Different inpainting methods use the information of neighboring pixels to predict the value of missing…
Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views
Mahdi Arab Loodaricheh, Nader Karimi, Shadrokh Samavi
Digital pathology is one of the most significant developments in modern medicine. Pathological examinations are the gold standard of medical protocols and play a fundamental role i…
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
Mohammadreza Naderi, Zahra Nabizadeh, Nader Karimi +2
Conditional Generative Adversarial Networks (cGANs) have been used in many image processing tasks. However, they still have serious problems maintaining the balance between conditi…
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak +3
Coronavirus has caused hundreds of thousands of deaths. Fatalities could decrease if every patient could get suitable treatment by the healthcare system. Machine learning, especial…
Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps
Maedeh Jamali, Nader Karim, Pejman Khadivi +2
Digital contents have grown dramatically in recent years, leading to increased attention to copyright. Image watermarking has been considered one of the most popular methods for co…