1 code implementation • 9 May 2022 • Mohammad Eslami, Solale Tabarestani, Ehsan Adeli, Glyn Elwyn, Tobias Elze, Mengyu Wang, Nazlee Zebardast, Nassir Navab, Malek Adjouadi
With the advent of sophisticated machine learning (ML) techniques and the promising results they yield, especially in medical applications, where they have been investigated for different tasks to enhance the decision-making process.
1 code implementation • 31 May 2021 • Mohammad Eslami, Solale Tabarestani, Malek Adjouadi
This investigation shows that bias correction and cross-modality conversion applications are significantly easier than the segmentation application, and having multitasking with segmentation is not reasonable if one of them is identified as the main target application.
1 code implementation • 31 Jul 2020 • Mohammad Eslami, Solale Tabarestani, Malek Adjouadi
In this research, both image denoising and kidney segmentation tasks are addressed jointly via one multitask deep convolutional network.
1 code implementation • 24 Jun 2019 • Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi
Chest X-ray radiography is one of the earliest medical imaging technologies and remains one of the most widely-used for diagnosis, screening, and treatment follow up of diseases related to lungs and heart.
no code implementations • 2 Dec 2017 • Chen Fang, Panuwat Janwattanapong, Chunfei Li, Malek Adjouadi
Multiple modalities of biomarkers have been proved to be very sensitive in assessing the progression of Alzheimer's disease (AD), and using these modalities and machine learning algorithms, several approaches have been proposed to assist in the early diagnosis of AD.