138 citations · 453 across the 81 of their papers we have counts for
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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…
Compound Frechet Inception Distance for Quality Assessment of GAN Created Images
Eric J. Nunn, Pejman Khadivi, Shadrokh Samavi
Generative adversarial networks or GANs are a type of generative modeling framework. GANs involve a pair of neural networks engaged in a competition in iteratively creating fake da…