25 citations · 31 across the 5 of their papers we have counts for
6 papers
Comparative Evaluation Of Three Methods Of Automatic Segmentation Of Brain Structures Using 426 Cases
Mohammad-Parsa Hosseini, Esmaeil Davoodi, Evangelia Bouzos +2
Segmentation of brain structures in a large dataset of magnetic resonance images (MRI) necessitates automatic segmentation instead of manual tracing. Automatic segmentation methods…
Review of Machine Learning Algorithms for Brain Stroke Diagnosis and Prognosis by EEG Analysis
Mohammad-Parsa Hosseini, Cecilia Hemingway, Jerard Madamba +4
Currently, strokes are the leading cause of adult disability in the United States. Traditional treatment and rehabilitation options such as physical therapy and tissue plasminogen…
Respiratory Sound Classification Using Long-Short Term Memory
Chelsea Villanueva, Joshua Vincent, Alexander Slowinski +1
Developing a reliable sound detection and recognition system offers many benefits and has many useful applications in different industries. This paper examines the difficulties tha…
Diagnosis of Autism in Children using Facial Analysis and Deep Learning
Madison Beary, Alex Hadsell, Ryan Messersmith +1
In this paper, we introduce a deep learning model to classify children as either healthy or potentially autistic with 94.6% accuracy using Deep Learning. Autistic patients struggle…
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Kost Elisevich +1
Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in…
Computerized Processing and Analysis of CT Images for Developing a New Criterion in COPD Diagnosis
Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Shahram Akhlaghpoor
Background: Chronic obstructive pulmonary disease (COPD) is one of the most prevalent and dangerous pulmonary diseases in the world. It is forecasted that COPD will be the third de…