Emad Fatemizadeh

About Emad Fatemizadeh

Emad Fatemizadeh, With an exceptional h-index of 22 and a recent h-index of 14 (since 2020), a distinguished researcher at Sharif University of Technology, specializes in the field of Medical Image Analysis and Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Anatomy‐aware computed tomography‐to‐ultrasound spine registration

Tacnet: Temporal audio source counting network

Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data

A comparative study of correlation methods in functional connectivity analysis using fMRI data of alzheimer’s patients

Plug and play augmented HQS: Convergence analysis and its application in MRI reconstruction

Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion

Pyramidal deep neural network for classification of retinal OCT images

Automatic detection of respiratory events during sleep from Polysomnography data using Layered Hidden Markov Model

Emad Fatemizadeh Information

University

Position

___

Citations(all)

1646

Citations(since 2020)

934

Cited By

1106

hIndex(all)

22

hIndex(since 2020)

14

i10Index(all)

46

i10Index(since 2020)

21

Email

University Profile Page

Sharif University of Technology

Google Scholar

View Google Scholar Profile

Emad Fatemizadeh Skills & Research Interests

Medical Image Analysis and Processing

Machine Learning

Top articles of Emad Fatemizadeh

Title

Journal

Author(s)

Publication Date

Anatomy‐aware computed tomography‐to‐ultrasound spine registration

Medical Physics

Mohammad Farid Azampour

Maria Tirindelli

Jane Lameski

Miruna Gafencu

Eleonora Tagliabue

...

2024/3

Tacnet: Temporal audio source counting network

arXiv preprint arXiv:2311.02369

Amirreza Ahmadnejad

Ahmad Mahmmodian Darviishani

Mohmmad Mehrdad Asadi

Sajjad Saffariyeh

Pedram Yousef

...

2023/11/4

Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Naemeh Farahani

Shabnam Ghahari

Emad Fatemizadeh

Ali Motie Nasrabadi

2023/5/4

A comparative study of correlation methods in functional connectivity analysis using fMRI data of alzheimer’s patients

Journal of Biomedical Physics & Engineering

Hessam Ahmadi

Emad Fatemizadeh

Ali Motie-Nasrabadi

2023/4

Plug and play augmented HQS: Convergence analysis and its application in MRI reconstruction

Neurocomputing

Arash Rasti-Meymandi

Aboozar Ghaffari

Emad Fatemizadeh

2023/1/21

Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion

Mohammad Farid Azampour

Yordanka Velikova

Emad Fatemizadeh

Sarada Prasad Dakua

Nassir Navab

2023/12/9

Pyramidal deep neural network for classification of retinal OCT images

Mohammad Almasganj

Emad Fatemizadeh

2023/11/30

Automatic detection of respiratory events during sleep from Polysomnography data using Layered Hidden Markov Model

Physiological Measurement

Azadeh Sadoughi

Mohammad Bagher Shamsollahi

Emad Fatemizadeh

2022/1/31

Topology-based Cost Function: a Novel Approach for Organ Delineation in Medical Images with Deep Learning Methods

Reza Karimzadeh

Emad Fatemizadeh

Hossein Arabi

Habib Zaidi

2022/11/5

The classification of heartbeats from two-channel ECG signals using layered hidden markov model

Frontiers in Biomedical Technologies

Azadeh Sadoughi

Mohammad Bagher Shamsollahi

Emad Fatemizadeh

2022

Identifying brain functional connectivity alterations during different stages of Alzheimer’s disease

International Journal of Neuroscience

Hessam Ahmadi

Emad Fatemizadeh

Ali Motie-Nasrabadi

2022/9/15

Organ Morphology Loss Function: an approach to enforce deep neural networks to learn shape for medical images segmentation

Reza Karimzadeh

Emad Fatemizadeh

Hossein ARABI

Habib Zaidi

2022/6/1

A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging

arXiv preprint arXiv:2203.03336

Reza Karimzadeh

Emad Fatemizadeh

Hossein Arabi

2022/3/7

Robust registration of medical images in the presence of spatially-varying noise

Algorithms

Reza Abbasi-Asl

Aboozar Ghaffari

Emad Fatemizadeh

2022/2/10

Two Convolutional Neural Networks for the rigid and affine registration of two-dimensional CT-MRI images of the human brain

Keyvan Ansarino

Emad Fatemizadeh

2022/12/21

fMRI functional connectivity analysis via kernel graph in Alzheimer’s disease

Signal, Image and Video Processing

Hessam Ahmadi

Emad Fatemizadeh

Ali Motie-Nasrabadi

2021/6

Prediction Error Propagation: A Novel Strategy to Enhance Performance of Deep Learning Models in Seminal Segmentation

Reza Karimzadeh

Emad Fatemizadeh

Hossein Arabi

Habib Zaidi

2021/10/16

Deep sparse graph functional connectivity analysis in AD patients using fMRI data

Computer Methods and Programs in Biomedicine

Hessam Ahmadi

Emad Fatemizadeh

Ali Motie-Nasrabadi

2021/4/1

Knowledge Distillation: A Strategy to Enhance the Performance of Deep Learning-based Seminal Segmentation

Reza Karimzadeh

Emad Fatemizadeh

Hossein Arabi

Habib Zaidi

2021/10/16

fMRI functional connectivity evaluation in Alzheimer’s stages: linear and non-linear approaches

Hessam Ahmadi

Emad Fatemizadeh

Ali Motie Nasrabadi

2021/2/13

See List of Professors in Emad Fatemizadeh University(Sharif University of Technology)

Co-Authors

H-index: 54
Hamid Soltanian-Zadeh

Hamid Soltanian-Zadeh

University of Tehran

H-index: 38
Mohammad Mahoor

Mohammad Mahoor

University of Denver

H-index: 26
Hamid Behnam

Hamid Behnam

Iran University of Science and Technology

H-index: 26
Jamshid Shanbehzadeh

Jamshid Shanbehzadeh

Kharazmi University

H-index: 26
Dr. Alireza Ahmadian

Dr. Alireza Ahmadian

Tehran University of Medical Sciences

H-index: 20
Javad Alirezaie

Javad Alirezaie

Ryerson University

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