Reza Rasti

Reza Rasti

Duke University

H-index: 8

North America-United States

About Reza Rasti

Reza Rasti, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Duke University, specializes in the field of Machine Learning, Deep learning, Pattern Recognition, Medical Image Analysis, Computer-Aided Diagnosis.

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

CardSegNet: An Adaptive Hybrid CNN-Vision Transformer Model for Heart Region Segmentation in Cardiac MRI

A Survey of Deep learning in Advancing Steel Industry Standards

Deep Attention Network for Looking for Ligand-Protein Binding Sites Prediction

Implementation of specifically designed deep neural networks for the prediction and optimization of tensile properties of aluminum-copper alloy

A GU-Net-based architecture predicting ligand–Protein-binding atoms

RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation

A novel spatio-temporal convolutional neural framework for multimodal emotion recognition

Deep Attention-based Seminal Segmentation: A Practical Deep Learning Framework for Accurate Segmentation of the Hippocampus from Magnetic Resonance Images

Reza Rasti Information

University

Position

PhD in Biomedical Engineering Postdoctoral Research Fellow at

Citations(all)

601

Citations(since 2020)

564

Cited By

229

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Reza Rasti Skills & Research Interests

Machine Learning

Deep learning

Pattern Recognition

Medical Image Analysis

Computer-Aided Diagnosis

Top articles of Reza Rasti

CardSegNet: An Adaptive Hybrid CNN-Vision Transformer Model for Heart Region Segmentation in Cardiac MRI

Computerized Medical Imaging and Graphics

2024/4/16

A Survey of Deep learning in Advancing Steel Industry Standards

2024/2/21

Reza Rasti
Reza Rasti

H-Index: 5

Deep Attention Network for Looking for Ligand-Protein Binding Sites Prediction

Authorea

2024/1/30

Implementation of specifically designed deep neural networks for the prediction and optimization of tensile properties of aluminum-copper alloy

Materials Today Communications

2024

A GU-Net-based architecture predicting ligand–Protein-binding atoms

Journal of Medical Signals & Sensors

2023/3/28

RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation

IEEE Transactions on Medical Imaging

2023/5

A novel spatio-temporal convolutional neural framework for multimodal emotion recognition

Biomedical Signal Processing and Control

2022/9/1

Deep Attention-based Seminal Segmentation: A Practical Deep Learning Framework for Accurate Segmentation of the Hippocampus from Magnetic Resonance Images

2021/10/16

Lightweight learning-based automatic segmentation of subretinal blebs on microscope-integrated optical coherence tomography images

American journal of ophthalmology

2021/1/1

Deep learning-based single-shot prediction of differential effects of anti-VEGF treatment in patients with diabetic macular edema

Biomedical Optics Express

2020/2/1

Reza Rasti
Reza Rasti

H-Index: 5

Sina Farsiu
Sina Farsiu

H-Index: 46

See List of Professors in Reza Rasti University(Duke University)

Co-Authors

academic-engine