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20162023
most citedAn Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI

206 citations · 522 across the 32 of their papers we have counts for

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6 papers · 1 filter

eess.IV2023★ 31 cited

sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI

Xin Zhang, Liangxiu Han, Lianghao Han +3

Structural magnetic resonance imaging (sMRI) can identify subtle brain changes due to its high contrast for soft tissues and high spatial resolution. It has been widely used in dia…

eess.IV2021★ 43 cited

CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images

Xin Zhang, Liangxiu Han, Tam Sobeih +6

Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first line imaging test for COVID-19 pneumonia diagnosis as it…

eess.IV2020★ 1 cited

Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset

Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella +1

Similarity analysis is one of the crucial steps in most fMRI studies. Representational Similarity Analysis (RSA) can measure similarities of neural signatures generated by differen…

eess.IV2020★ 206 cited

An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI

Xin Zhang, Liangxiu Han, Wenyong Zhu +2

Computer-aided early diagnosis of Alzheimer's disease (AD) and its prodromal form mild cognitive impairment (MCI) based on structure Magnetic Resonance Imaging (sMRI) has provided…

eess.IV2020★ 6 cited

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis

Li Zhang, Mingliang Wang, Mingxia Liu +1

Deep learning has been recently used for the analysis of neuroimages, such as structural magnetic resonance imaging (MRI), functional MRI, and positron emission tomography (PET), a…

eess.IV2020★ 18 cited

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

Liang Sun, Zhanhao Mo, Fuhua Yan +14

Chest computed tomography (CT) becomes an effective tool to assist the diagnosis of coronavirus disease-19 (COVID-19). Due to the outbreak of COVID-19 worldwide, using the computed…