Tewodros Tassew

Northwestern Polytechnical University | NWPU · Department of Computer Science and Software

Medical image segmentation is essential for disease diagnosis and for supporting medical decision systems. Automatic segmentation of brain tumors from Magnetic Resonance Imaging (MRI) is crucial for treatment planning and timely diagnosis. Due to the enormous amount of data that MRI provides as well as the variability in the location and size of th...

In recent years, the frequent occurrence of smog weather has affected people’s health and has also had a major impact on computer vision application systems. Images captured in hazy environments suffer from quality degradation and other issues such as color distortion, low contrast, and lack of detail. This study proposes an end-to-end, adversarial...

The extraction of the fetal brain from magnetic resonance (MR) images is a challenging task. In particular, fetal MR images suffer from different kinds of artifacts introduced during the image acquisition. Among those artifacts, intensity inhomogeneity is a common one affecting brain extraction. In this work, we propose a deep learning-based recove...

Deep learning has drawn increasing attention in microstructure estimation with undersampled diffusion MRI (dMRI) data. A representative method is the hybrid graph transformer (HGT), which achieves promising performance by integrating q-space graph learning and x-space transformer learning into a unified framework. However, this method overlooks the...

Medical image segmentation is essential for disease diagnosis and for support- ing medical decision systems. Automatic segmentation of brain tumors from Magnetic Resonance Imaging (MRI) is crucial for treatment planning and timely diagnosis. Due to the enormous amount of data that MRI provides as well as the variability in the location and size of...

In recent years, the frequent occurrence of smog weather has affected people's health and has also had a major impact on computer vision application systems. Images captured in hazy environments suffer from quality degradation and other issues such as color distortion, low contrast, and lack of detail. This study proposes an end-to-end, adversarial...

Parkinson’s disease is the second most prevalent neurological disease, affecting millions of people globally. It is a condition that affects different regions of the brain in the basal ganglia, which is characterized by motor symptoms and postural instability. Currently, there is no cure available in order to completely eradicate the disease from t...

p>The world is currently undergoing a rapid transformation in technology that will drastically change our lives, and potentially redefine what it means to be human. Machine learning has advanced significantly in the last few years. AI has become popular recently because of the large-scale data processing and managing capacities of machines. The app...

p>The world is currently undergoing a rapid transformation in technology that will drastically change our lives, and potentially redefine what it means to be human. Machine learning has advanced significantly in the last few years. AI has become popular recently because of the large-scale data processing and managing capacities of machines. The app...

In recent years we have witnessed the digital revolution with the rapid increase in the amount of visual and multimedia files generated daily. This has brought new challenges for computer scientists to create systems capable of recognizing patterns and features from images. This endeavor has led to the development of machine and deep learning model...

Over the last several decades, there has been an explosion in the amount of visual data created by humans on a daily basis. However, computer scientists have struggled with the problem of creating machines that can recognize images and videos in the same way that people can. Humans are capable of detecting patterns and objects with a high degree of...

The world is currently undergoing a rapid transformation in technology that will drastically change our lives, and potentially redefine what it means to be human. Machine learning has advanced significantly in the last few years. AI has become popular recently because of the large-scale data processing and managing capacities of machines. The appli...