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Rania NIRI

About Rania NIRI

Rania NIRI, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Université Ibn Zohr, specializes in the field of Artificial Intelligence, Computer Vison, Deep Learning, Medical images analysis.

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

Prevención y promoción de la salud de heridas mediante el uso ambulatorio de la termografía portátil. Estudio piloto

Multi-view data augmentation to improve wound segmentation on 3D surface model by deep learning

Wound size imaging: ready for smart assessment and monitoring

A Superpixel-Wise Fully Convolutional Neural Network Approach for Diabetic Foot Ulcer Tissue Classification

Semantic segmentation of diabetic foot ulcer images: dealing with small dataset in DL approaches

Rania NIRI Information

University

Position

___

Citations(all)

101

Citations(since 2020)

101

Cited By

8

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Rania NIRI Skills & Research Interests

Artificial Intelligence

Computer Vison

Deep Learning

Medical images analysis

Top articles of Rania NIRI

Prevención y promoción de la salud de heridas mediante el uso ambulatorio de la termografía portátil. Estudio piloto

Cirugía Plástica Ibero-Latinoamericana

2023/12

Rania Niri
Rania Niri

H-Index: 2

Multi-view data augmentation to improve wound segmentation on 3D surface model by deep learning

IEEE Access

2021/11/25

Rania Niri
Rania Niri

H-Index: 2

Evelyn Gutierrez
Evelyn Gutierrez

H-Index: 2

Yves Lucas
Yves Lucas

H-Index: 19

Sylvie Treuillet
Sylvie Treuillet

H-Index: 13

Ivan Hernandez
Ivan Hernandez

H-Index: 5

Wound size imaging: ready for smart assessment and monitoring

Advances in wound care

2021/11/1

Yves Lucas
Yves Lucas

H-Index: 19

Rania Niri
Rania Niri

H-Index: 2

Sylvie Treuillet
Sylvie Treuillet

H-Index: 13

Benjamin Castaneda
Benjamin Castaneda

H-Index: 14

A Superpixel-Wise Fully Convolutional Neural Network Approach for Diabetic Foot Ulcer Tissue Classification

2021

Rania Niri
Rania Niri

H-Index: 2

Yves Lucas
Yves Lucas

H-Index: 19

Sylvie Treuillet
Sylvie Treuillet

H-Index: 13

Semantic segmentation of diabetic foot ulcer images: dealing with small dataset in DL approaches

2020

See List of Professors in Rania NIRI University(Université Ibn Zohr)

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