Milad Mohammadzadeh

About Milad Mohammadzadeh

Milad Mohammadzadeh, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Biomedical Engineering, Fluid Dynamics, Microfluidics, Cavitation, Bubble Dynamics.

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

Abstract WP137: A CT Perfusion Based Computational Modeling for Improved Risk Stratification of Haemodynamically Significant ICAD

Differential sensitivities to blood pressure variations in internal carotid and intracranial arteries: a numerical approach to stroke prediction

Methods and systems for risk assessment of ischemic cerebrovascular events

Using CT Perfusion To Measure Territory Volumes In Intracranial Atherosclerosis

Computational fluid dynamics in intracranial atherosclerosis-lessons from cardiology: a review of CFD in intracranial atherosclerosis

Abstract P344: Validation of Computational Fluid Dynamics Against PC-MRI Measurements of Blood Flow in Healthy Intracranial Arteries: On the Threshold to Clinical Utility for …

Abstract P379: Automatic Segmentation of Atherosclerotic Plaques in Transverse Carotid Ultrasound Images Using Deep Learning

Abstract WP269: Automatic Segmentation of Cerebral Arteries in MRA TOF Using Deep Learning

Milad Mohammadzadeh Information

University

Position

___

Citations(all)

100

Citations(since 2020)

85

Cited By

38

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Milad Mohammadzadeh Skills & Research Interests

Biomedical Engineering

Fluid Dynamics

Microfluidics

Cavitation

Bubble Dynamics

Top articles of Milad Mohammadzadeh

Abstract WP137: A CT Perfusion Based Computational Modeling for Improved Risk Stratification of Haemodynamically Significant ICAD

Stroke

2024/2

Differential sensitivities to blood pressure variations in internal carotid and intracranial arteries: a numerical approach to stroke prediction

Scientific Reports

2023/12/15

Methods and systems for risk assessment of ischemic cerebrovascular events

2023/4/6

Using CT Perfusion To Measure Territory Volumes In Intracranial Atherosclerosis

Stroke

2022/2

Computational fluid dynamics in intracranial atherosclerosis-lessons from cardiology: a review of CFD in intracranial atherosclerosis

2021/10/1

Milad Mohammadzadeh
Milad Mohammadzadeh

H-Index: 4

Abstract P344: Validation of Computational Fluid Dynamics Against PC-MRI Measurements of Blood Flow in Healthy Intracranial Arteries: On the Threshold to Clinical Utility for …

Stroke

2021/3

Milad Mohammadzadeh
Milad Mohammadzadeh

H-Index: 4

Abstract P379: Automatic Segmentation of Atherosclerotic Plaques in Transverse Carotid Ultrasound Images Using Deep Learning

Stroke

2021/3

Milad Mohammadzadeh
Milad Mohammadzadeh

H-Index: 4

Vijay Sharma
Vijay Sharma

H-Index: 4

Abstract WP269: Automatic Segmentation of Cerebral Arteries in MRA TOF Using Deep Learning

Stroke

2020/2

Milad Mohammadzadeh
Milad Mohammadzadeh

H-Index: 4

Abstract WMP64: From Static Imaging to Hemodynamic Modelling: Validation of Intracranial Blood Flow Simulations Against Population-Based PC-MRI Studies

Stroke

2020/2

Milad Mohammadzadeh
Milad Mohammadzadeh

H-Index: 4

Abstract WP272: Automatic Detection and Measurement of Atherosclerotic Plaques in Carotid Ultrasound Using Deep Learning

Stroke

2020/2

Milad Mohammadzadeh
Milad Mohammadzadeh

H-Index: 4

Agan: An anatomy corrector conditional generative adversarial network

2020

Milad Mohammadzadeh
Milad Mohammadzadeh

H-Index: 4

Benjamin Yq Tan
Benjamin Yq Tan

H-Index: 15

See List of Professors in Milad Mohammadzadeh University(Nanyang Technological University)

Co-Authors

academic-engine