D.N.F Awang Iskandar

D.N.F Awang Iskandar

Universiti Malaysia Sarawak

H-index: 14

Asia-Malaysia

About D.N.F Awang Iskandar

D.N.F Awang Iskandar, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Universiti Malaysia Sarawak, specializes in the field of CBIR, Image Processing and Recognition, Information Retrieval, Semantic Technologies, Spatial and Temporal Semantic Representati.

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

Recent advances in classification of brain tumor from MR images–State of the art review from 2017 to 2021

Diabetic retinopathy detection from fundus images of the eye using hybrid deep learning features

Glioma Tumors’ classification using deep-neural-network-based features with SVM classifier

Detection of monocrystalline silicon wafer defects using deep transfer learning

Recent advancements in Fuzzy C-means based techniques for brain MRI Segmentation

Classification of skin lesion with hair and artifacts removal using black-hat morphology and total variation

Statistical feature learning through enhanced delaunay clustering and ensemble classifiers for skin lesion segmentation and classification

Brain MR Image Classification for Glioma tumor detection using deep convolutional neural network features

D.N.F Awang Iskandar Information

University

Position

Senior Lecturer

Citations(all)

879

Citations(since 2020)

708

Cited By

244

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

20

i10Index(since 2020)

13

Email

University Profile Page

Universiti Malaysia Sarawak

Google Scholar

View Google Scholar Profile

D.N.F Awang Iskandar Skills & Research Interests

CBIR

Image Processing and Recognition

Information Retrieval

Semantic Technologies

Spatial and Temporal Semantic Representati

Top articles of D.N.F Awang Iskandar

Title

Journal

Author(s)

Publication Date

Recent advances in classification of brain tumor from MR images–State of the art review from 2017 to 2021

Ghazanfar Latif

Faisal Y Al Anezi

DNF Iskandar

Abul Bashar

Jaafar Alghazo

2022/8/1

Diabetic retinopathy detection from fundus images of the eye using hybrid deep learning features

Diagnostics

Muhammad Mohsin Butt

DNF Awang Iskandar

Sherif E Abdelhamid

Ghazanfar Latif

Runna Alghazo

2022/7/1

Glioma Tumors’ classification using deep-neural-network-based features with SVM classifier

Diagnostics

Ghazanfar Latif

Ghassen Ben Brahim

DNF Awang Iskandar

Abul Bashar

Jaafar Alghazo

2022/4/18

Detection of monocrystalline silicon wafer defects using deep transfer learning

Journal of Telecommunications and Information Technology

Adriana Ganum

D.N.F. Awang Iskandar

Phei Chin Lim

Ahmad Hadinata Fauzi

2022/4

Recent advancements in Fuzzy C-means based techniques for brain MRI Segmentation

Ghazanfar Latif

Jaafar Alghazo

Fadi N Sibai

DNF Awang Iskandar

Adil H Khan

2021/8/1

Classification of skin lesion with hair and artifacts removal using black-hat morphology and total variation

International Journal of Computing and Digital Systems

Adil H Khan

DNF Iskandar

Jawad F Al-Asad

Samir El-Nakla

2021/5/2

Statistical feature learning through enhanced delaunay clustering and ensemble classifiers for skin lesion segmentation and classification

J. Theor. Appl. Inf. Technol

ADIL H Khan

DA Iskandar

JAWAD F Al-Asad

SA El-Nakla SAMIRAnd Alhuwaidi

2021/3/15

Brain MR Image Classification for Glioma tumor detection using deep convolutional neural network features

Current medical imaging

Ghazanfar Latif

DNF Awang Iskandar

Jaafar Alghazo

M Mohsin Butt

2021/1/1

See List of Professors in D.N.F Awang Iskandar University(Universiti Malaysia Sarawak)

Co-Authors

H-index: 23
Jafreezal Jaafar

Jafreezal Jaafar

Universiti Teknologi Petronas

H-index: 20
Alvin Wee YEO

Alvin Wee YEO

University of Waikato

H-index: 18
Narayanan Kulathuramaiyer

Narayanan Kulathuramaiyer

Universiti Malaysia Sarawak

H-index: 17
Albert Burger

Albert Burger

Heriot-Watt University

H-index: 15
Kang Leng Chiew

Kang Leng Chiew

Universiti Malaysia Sarawak

H-index: 13
Madihah Mohd Saudi

Madihah Mohd Saudi

Universiti Sains Islam Malaysia

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