Search Results for author: Malek Adjouadi

Found 5 papers, 4 papers with code

Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning

1 code implementation9 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.

Decision Making

Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction

1 code implementation31 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.

Joint Low Dose CT Denoising And Kidney Segmentation

1 code implementation31 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.

Image Denoising Image-to-Image Translation +1

Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography

1 code implementation24 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.

Decision Making Translation

A global feature extraction model for the effective computer aided diagnosis of mild cognitive impairment using structural MRI images

no code implementations2 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.

General Classification

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