Peyman Sharifian

A committed MSc graduate in Biomedical Engineering with a passion for enhancing healthcare through AI-based methods. Enthusiastically aiming to leverage technical expertise in improving AI techniques, with a particular interest in quantitative MRI and deep learning AI technology.

Living in : Iran

Gender : MaleRace : Middle Eastern

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Academic Profile

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Educations

Biomedical EngineeringMaster'sUniversity of Isfahan2024-09-22 Iran

Electrical EngineeringBachelor'sUniversity of Kashan2019-06-16 Iran

Work Experiences

Research Assistant,Remote

at University of Geneva

I am currently working in this role

English Scores

IELTS01-Jan-0001

6.5/9Total

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Conferences

Your Presentation Title :

Anatomical brain segmentation from CT images for the purpose of partial volume correction in PET

Conference Name :2024 IEEE NSS MIC RTSD

United States of America (USA)

2024

Your Presentation Title :

Anatomical brain regions segmentation from MR images using global and local deep learning network

Conference Name :2023 IEEE NSS MIC RTSD

Canada

2023

Journal Publications

Publication Title :

A dual-stage framework for segmentation of the brain anatomical regions with high accuracyFirst author

Journal :

Magnetic Resonance Materials in Physics, Biology, and Medicine

Link :

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Publication Title :

Supervised volumetric segmentation of white and gray matter from brain PET images using MR labels (under review))First author

Journal :

Medical and Biological Engineering and Computing

Link :

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Research Keywords

Deep Learning

AI in healthcare

MRI

Medical Imaging

Medical Image Processing

Medical Image Analysis

MS Lesion Detection

Deep Learning MRI