Sara Hashemi

About Sara Hashemi

Sara Hashemi, With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Tehran, specializes in the field of Artificial Intelligence, Machine Learning, Medical Image Processing.

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

A Coordinate-Regression-Based Deep Learning Model for Catheter Detection during Structural Heart Interventions

Multimodal Feature Extraction and Fusion for Determining Rgp Lens Specification Base-Curve Through Pentacam Images

An image processing approach for rigid gas permeable len base-curve identification

Multi-view Deep Learning for Rigid Gas Permeable Lens Base Curve Fitting Based on Pentacam Images

Sara Hashemi Information

University

Position

PhD in Information Technology Engineering Iran

Citations(all)

102

Citations(since 2020)

61

Cited By

66

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Sara Hashemi Skills & Research Interests

Artificial Intelligence

Machine Learning

Medical Image Processing

Top articles of Sara Hashemi

A Coordinate-Regression-Based Deep Learning Model for Catheter Detection during Structural Heart Interventions

Applied Sciences

2023/6/30

Multimodal Feature Extraction and Fusion for Determining Rgp Lens Specification Base-Curve Through Pentacam Images

Available at SSRN 4327543

2023

Hadi Veisi
Hadi Veisi

H-Index: 10

Sara Hashemi
Sara Hashemi

H-Index: 3

An image processing approach for rigid gas permeable len base-curve identification

Signal, Image and Video Processing

2020/7

Sara Hashemi
Sara Hashemi

H-Index: 3

Hadi Veisi
Hadi Veisi

H-Index: 10

Multi-view Deep Learning for Rigid Gas Permeable Lens Base Curve Fitting Based on Pentacam Images

Medical & Biological Engineering & Computing

2020/7

Sara Hashemi
Sara Hashemi

H-Index: 3

Hadi Veisi
Hadi Veisi

H-Index: 10

See List of Professors in Sara Hashemi University(University of Tehran)

Co-Authors

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