Pejman Rasti

Pejman Rasti

Université d'Angers

H-index: 18

Europe-France

About Pejman Rasti

Pejman Rasti, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Université d'Angers, specializes in the field of Computer Vision, Image and video superresolution, Medical Image Processing.

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

Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person Identification

On the Use of Circadian Cycles to Monitor Individual Young Plants

A Sentiment Analysis to Understand the Role of Twitter Towards Sustainable Consumption

Growth Data—An automatic solution for seedling growth analysis via RGB-Depth imaging sensors

Contributions to Deep Learning for Life Science Applications

Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI

Enhancing Alzheimer Recognition Through Super-Resolution Images.

Deep learning-based detection of seedling development from controlled environment to field

Pejman Rasti Information

University

Position

Assoc. Prof. of Computer Science and AI ESAIP ;

Citations(all)

1044

Citations(since 2020)

782

Cited By

558

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

25

i10Index(since 2020)

22

Email

University Profile Page

Université d'Angers

Google Scholar

View Google Scholar Profile

Pejman Rasti Skills & Research Interests

Computer Vision

Image and video superresolution

Medical Image Processing

Top articles of Pejman Rasti

Title

Journal

Author(s)

Publication Date

Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person Identification

Sensors

Abderrazzaq Moufidi

David Rousseau

Pejman Rasti

2023/6/25

On the Use of Circadian Cycles to Monitor Individual Young Plants

Remote Sensing

Mathis Cordier

Cindy Torres

Pejman Rasti

David Rousseau

2023/5/23

A Sentiment Analysis to Understand the Role of Twitter Towards Sustainable Consumption

Ceren Cubukcu Cerasi

Yavuz Selim Balcioglu

Asli Kilic

Farid Huseynov

Pejman Rasti

2023/2/15

Growth Data—An automatic solution for seedling growth analysis via RGB-Depth imaging sensors

SoftwareX

Geoffroy Couasnet

Mathis Cordier

Hadhami Garbouge

Félix Mercier

David Pierre

...

2023/12/1

Contributions to Deep Learning for Life Science Applications

Pejman Rasti

2023/7/13

Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI

arXiv preprint arXiv:2307.01953

Lukman Ismaila

Pejman Rasti

Jean-Michel Lemée

David Rousseau

2023/7/4

Enhancing Alzheimer Recognition Through Super-Resolution Images.

International Journal of Simulation--Systems, Science & Technology

Nicolas Heudron

Salma Samiei

Pejman Rasti

2022/1/1

Deep learning-based detection of seedling development from controlled environment to field

XXXI International Horticultural Congress (IHC2022): III International Symposium on Mechanization, Precision Horticulture, and 1360

H Garbouge

N Sapoukhina

P Rasti

D Rousseau

2022/8/14

Machine-learning assisted determination of best acquisition protocols in variety testing

Hadhami Garbouge

Salma Samiei

Pejman Rasti

David Rousseau

2022/1

Automatic fasciation detection in salad with 2D X-ray imaging

XXXI International Horticultural Congress (IHC2022): III International Symposium on Mechanization, Precision Horticulture, and 1360

H Sherif

A Charrier

P Rasti

E Guiloteau

J Messaka

...

2022/8/14

Advances in seed phenotyping using X-ray imaging

Sherif Hamdy

Aurélie Charrier

Laurence Le Corre

Pejman Rasti

David Rousseau

2022/7/26

Transfer learning from healthy to unhealthy patients for the automated classification of functional brain networks in fmri

Applied Sciences

Lukman E Ismaila

Pejman Rasti

Florian Bernard

Mathieu Labriffe

Philippe Menei

...

2022/7/8

Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification

Abderrazzaq Moufidi

David Rousseau

Pejman Rasti

2022/11/11

Deep Learning pour la classification automatique de réseaux cérébraux fonctionnels par IRMf de repos

Lukman Ismael

Jean-Michel Lemée

David Rousseau

Pejman Rasti

2022/2

Self-Supervised Learning for Functional Brain Networks identification in fMRI from Healthy to Unhealthy Patients

Lukman E Ismaila

Pejman Rasti

Jean-Michel Lemée

David Rousseau

2022/10/19

Enhancing the tracking of seedling growth using RGB-Depth fusion and deep learning

Sensors

Hadhami Garbouge

Pejman Rasti

David Rousseau

2021/12/17

Correction to: Optimal image compression via block-based adaptive colour reduction with minimal contour effect

Multimedia Tools and Applications

Rasti Pejman

Lüsi Iiris

Bolotnikova Anastasia

Daneshmand Morteza

Ozcinar Cagri

...

2020/5/1

Machine learning-based classification of powdery mildew severity on melon leaves

Mouad Zine El Abidine

Sabine Merdinoglu-Wiedemann

Pejman Rasti

Helin Dutagaci

David Rousseau

2020

ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods

Plant methods

Helin Dutagaci

Pejman Rasti

Gilles Galopin

David Rousseau

2020/1

Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke

Computers in Biology and Medicine

Noelie Debs

Pejman Rasti

Léon Victor

Tae-Hee Cho

Carole Frindel

...

2020/1/1

See List of Professors in Pejman Rasti University(Université d'Angers)

Co-Authors

H-index: 63
Sergio Escalera

Sergio Escalera

Universidad de Barcelona

H-index: 53
Thomas Moeslund

Thomas Moeslund

Aalborg Universitet

H-index: 44
Hasan Demirel

Hasan Demirel

Dogu Akdeniz Üniversitesi

H-index: 39
Jordi Gonzàlez

Jordi Gonzàlez

Universidad Autónoma de Barcelona

H-index: 33
David ROUSSEAU

David ROUSSEAU

Université d'Angers

H-index: 29
Kamal Nasrollahi

Kamal Nasrollahi

Aalborg Universitet

academic-engine