Shahabedin Nabavi

About Shahabedin Nabavi

Shahabedin Nabavi, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Shahid Beheshti University, specializes in the field of Medical Image Computing, Medical Imaging, AI for Healthcare, Deep Learning.

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

Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification

A cascade transformer-based model for 3D dose distribution prediction in head and neck cancer radiotherapy

Machine Learning-Guided Anesthesiology: A Review of Recent Advances and Clinical Applications

Stacked cross-modal feature consolidation attention networks for image captioning

A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images

A Framework for Automated Cardiovascular Magnetic Resonance Image Quality Scoring based on EuroCMR Registry Criteria

Prediction of acute kidney injury after cardiac surgery using interpretable machine learning

Fully automated assessment of cardiac coverage in cine cardiovascular magnetic resonance images using an explainable deep visual salient region detection model

Shahabedin Nabavi Information

University

Position

___

Citations(all)

91

Citations(since 2020)

87

Cited By

6

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Shahabedin Nabavi Skills & Research Interests

Medical Image Computing

Medical Imaging

AI for Healthcare

Deep Learning

Top articles of Shahabedin Nabavi

Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification

arXiv preprint arXiv:2403.11226

2024/3/17

A cascade transformer-based model for 3D dose distribution prediction in head and neck cancer radiotherapy

Physics in Medicine & Biology

2024/2/5

Machine Learning-Guided Anesthesiology: A Review of Recent Advances and Clinical Applications

2024

Stacked cross-modal feature consolidation attention networks for image captioning

Multimedia Tools and Applications

2024/1

A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images

Computer Methods and Programs in Biomedicine

2023/12/1

A Framework for Automated Cardiovascular Magnetic Resonance Image Quality Scoring based on EuroCMR Registry Criteria

2023/11/1

Prediction of acute kidney injury after cardiac surgery using interpretable machine learning

Anesthesiology and Pain Medicine

2022/8

Fully automated assessment of cardiac coverage in cine cardiovascular magnetic resonance images using an explainable deep visual salient region detection model

arXiv preprint arXiv:2206.06844

2022/6/14

Automatic multi-class cardiovascular magnetic resonance image quality assessment using unsupervised domain adaptation in spatial and frequency domains

arXiv preprint arXiv:2112.06806

2021/12/13

Using social media for flight path safety assessment

Aircraft Engineering and Aerospace Technology

2021/11/30

Medical imaging and computational image analysis in COVID-19 diagnosis: A review

2021/8/1

Book review: Artificial Intelligence in Medical Imaging, Opportunities, Applications and Risks edited by Erik R. Ranschaert, Sergey Morozov and Paul R. Algra …

2021/6

Shahabedin Nabavi
Shahabedin Nabavi

H-Index: 2

Mohammad Mohammadi
Mohammad Mohammadi

H-Index: 9

Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study

2021/4

Respiratory motion prediction using deep convolutional long short-term memory network

Journal of Medical Signals & Sensors

2020/4/1

It is time for AI to prevent unintentionally disastrous human errors

Authorea Preprints

2020/6/8

See List of Professors in Shahabedin Nabavi University(Shahid Beheshti University)

Co-Authors

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