Osamah M. Al-Qershi

Osamah M. Al-Qershi

Monash University

H-index: 14

Oceania-Australia

About Osamah M. Al-Qershi

Osamah M. Al-Qershi, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Monash University, specializes in the field of Data Science and AI, Image Forensics, Image processing, Computer Vision.

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

AutoCumulus: an Automated Mammographic Density Measure Created Using Artificial Intelligence

Genetic and environmental causes of variation in an automated breast cancer risk factor based on mammographic textures

Android Based-App Papaya Leaf Disease Identification Using Convolution Neural Network

Causal relationships between breast cancer risk factors based on mammographic features

Causal relationships between breast cancer mammogram risk scores based on textural features and density

Predicting crowdfunding success with visuals and speech in video ads and text ads

ADMANI: Annotated digital mammograms and associated non-image datasets

Enhancing visual quality of spatial image steganography using SqueezeNet deep learning network

Osamah M. Al-Qershi Information

University

Position

Faculty of Information Technology

Citations(all)

1235

Citations(since 2020)

565

Cited By

940

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

19

i10Index(since 2020)

14

Email

University Profile Page

Monash University

Google Scholar

View Google Scholar Profile

Osamah M. Al-Qershi Skills & Research Interests

Data Science and AI

Image Forensics

Image processing

Computer Vision

Top articles of Osamah M. Al-Qershi

Title

Journal

Author(s)

Publication Date

AutoCumulus: an Automated Mammographic Density Measure Created Using Artificial Intelligence

medRxiv

Osamah Al-qershi

Tuong L Nguyen

Michael E Elliott

Daniel F Schmidt

Enes Makalic

...

2024

Genetic and environmental causes of variation in an automated breast cancer risk factor based on mammographic textures

Cancer Epidemiology, Biomarkers & Prevention

Zhoufeng Ye

Gillian S Dite

Tuong L Nguyen

Robert J MacInnis

Daniel F Schmidt

...

2024/2/6

Android Based-App Papaya Leaf Disease Identification Using Convolution Neural Network

Applications of Modelling and Simulation

Bo Xuan Wong

Chang Choon Chew

Kim Gaik Tay

Osamah Al-qershi

Audrey Huong

...

2023/11/5

Causal relationships between breast cancer risk factors based on mammographic features

Breast Cancer Research

Zhoufeng Ye

Tuong L Nguyen

Gillian S Dite

Robert J MacInnis

Daniel F Schmidt

...

2023/10/25

Causal relationships between breast cancer mammogram risk scores based on textural features and density

Zhoufeng Ye

Tuong L Nguyen

Gillian S Dite

Robert J MacInnis

Daniel F Schmidt

...

2023/2/9

Predicting crowdfunding success with visuals and speech in video ads and text ads

European Journal of Marketing

Osamah M Al-Qershi

Junbum Kwon

Shuning Zhao

Zhaokun Li

2022/6/7

ADMANI: Annotated digital mammograms and associated non-image datasets

Radiology: Artificial Intelligence

Helen ML Frazer

Jennifer SN Tang

Michael S Elliott

Katrina M Kunicki

Brendan Hill

...

2022/12/21

Enhancing visual quality of spatial image steganography using SqueezeNet deep learning network

Multimedia Tools and Applications

Nagham Hamid

Balasem Salem Sumait

Bilal Ibrahim Bakri

Osamah Al-Qershi

2021/11

Towards a Universal Steganalyser Using Convolutional Neural Networks

Inas Jawad Kadhim

Prashan Premaratne

Peter James Vial

Osamah M Al-Qershi

Qasim Al-Shebani

2020

See List of Professors in Osamah M. Al-Qershi University(Monash University)

Co-Authors

H-index: 126
Melissa C Southey

Melissa C Southey

Monash University

H-index: 37
Daniel Schmidt

Daniel Schmidt

Monash University

H-index: 23
Bee Ee Khoo

Bee Ee Khoo

Universiti Sains Malaysia

H-index: 22
Abid Yahya

Abid Yahya

Universiti Malaysia Perlis

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