Amin Zehtabian

Amin Zehtabian

Freie Universität Berlin

H-index: 10

Europe-Germany

About Amin Zehtabian

Amin Zehtabian, With an exceptional h-index of 10 and a recent h-index of 6 (since 2020), a distinguished researcher at Freie Universität Berlin, specializes in the field of Pattern Recognition - Image Processing - Machine Learning - Biomedical Signal Processing - Hyperspectral Data Analysis - Super R.

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

Circadian period is compensated for repressor protein turnover rates in single cells

Quantifying morphologies of developing neuronal cells using deep learning with imperfect annotations

Attention based morphological guided deep learning network for neuron segmentation in electron microscopy

Hyperspectral imaging in environmental monitoring and analysis

Spectral unmixing of hyperspectral images based on block sparse structure

Precise measurement of nanoscopic septin ring structures with deep learning-assisted quantitative superresolution microscopy

Automated analysis of neuronal morphology through an unsupervised classification model of neurites

Live-cell imaging of circadian clock protein dynamics in CRISPR-generated knock-in cells

Amin Zehtabian Information

University

Position

___

Citations(all)

453

Citations(since 2020)

288

Cited By

286

hIndex(all)

10

hIndex(since 2020)

6

i10Index(all)

10

i10Index(since 2020)

5

Email

University Profile Page

Freie Universität Berlin

Google Scholar

View Google Scholar Profile

Amin Zehtabian Skills & Research Interests

Pattern Recognition - Image Processing - Machine Learning - Biomedical Signal Processing - Hyperspectral Data Analysis - Super R

Top articles of Amin Zehtabian

Title

Journal

Author(s)

Publication Date

Circadian period is compensated for repressor protein turnover rates in single cells

bioRxiv

Christian H Gabriel

Marta H del Olmo

Arunya Rizki Widini

Rashin Roshanbin

Jonas Woyde

...

2024

Quantifying morphologies of developing neuronal cells using deep learning with imperfect annotations

IBRO Neuroscience Reports

Amir Masoud Nourollah

Hamid Hassanpour

Amin Zehtabian

2024/6/1

Attention based morphological guided deep learning network for neuron segmentation in electron microscopy

The Journal of Supercomputing

Maryam Imani

Amin Zehtabian

2024/3/18

Hyperspectral imaging in environmental monitoring and analysis

Frontiers in Environmental Science

Roozbeh Rajabi

Amin Zehtabian

Keshav D Singh

Alireza Tabatabaeenejad

Pedram Ghamisi

...

2024/1/19

Spectral unmixing of hyperspectral images based on block sparse structure

Journal of Applied Remote Sensing

Seyed Hossein Mosavi Azarang

Roozbeh Rajabi

Hadi Zayyani

Amin Zehtabian

2023/1/1

Precise measurement of nanoscopic septin ring structures with deep learning-assisted quantitative superresolution microscopy

Molecular Biology of the Cell

Amin Zehtabian

Paul Markus Müller

Maximilian Goisser

Leon Obendorf

Lea Jänisch

...

2022/7/1

Automated analysis of neuronal morphology through an unsupervised classification model of neurites

bioRxiv

Amin Zehtabian

Joachim Fuchs

Britta J Eickholt

Helge Ewers

2022/3/1

Live-cell imaging of circadian clock protein dynamics in CRISPR-generated knock-in cells

Nature communications

Christian H Gabriel

Marta Del Olmo

Amin Zehtabian

Marten Jäger

Silke Reischl

...

2021/6/18

See List of Professors in Amin Zehtabian University(Freie Universität Berlin)

Co-Authors

H-index: 43
Hassan Ghassemian

Hassan Ghassemian

Tarbiat Modares University

H-index: 36
Helge Ewers

Helge Ewers

Freie Universität Berlin

H-index: 32
Marco Gribaudo

Marco Gribaudo

Politecnico di Milano

H-index: 30
Prof. Hamid Hassanpour

Prof. Hamid Hassanpour

Shahrood University of Technology

H-index: 13
Seyed Jalil Sadati Rostami

Seyed Jalil Sadati Rostami

Babol Noshirvani University of Technology

H-index: 10
Roozbeh Rajabi

Roozbeh Rajabi

Qom University of Technology

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