Imran Qureshi

发表

FACE RECOGNITION TECHNIQUES AND APPROACHES: A SURVEY

M. Naeem, Imran Qureshi, Faisal Azam, 2015 .

A Data Mining Approach for Unification of Association Rules in Distributed and Parallel Databases

Imran Qureshi, M. Shaik, Kanchi Suresh, 2014 .

Computer Aided Systems for Diabetic Retinopathy Detection Using Digital Fundus Images: A Survey

Muhammad Younus Javed, Mudassar Raza, Mussarat Yasmin, 2016 .

Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends

Q. Abbas, Junhua Yan, Imran Qureshi, 2022, Inf. Fusion.

Glaucoma Detection in Retinal Images Using Image Processing Techniques: A Survey

Imran Qureshi, Imran Qureshi, 2015 .

Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy

Jun Ma, Qaisar Abbas, Imran Qureshi, 2019, Symmetry.

Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning

Jun Ma, Qaisar Abbas, Imran Qureshi, 2021, Multimedia Tools and Applications.

Machine Learning Methods for Diagnosis of Eye-Related Diseases: A Systematic Review Study Based on Ophthalmic Imaging Modalities

Q. Abbas, Imran Qureshi, Junhua Yan, 2022, Archives of Computational Methods in Engineering.

DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition

Xingming Zhang, Munish Kumar, Imran Qureshi, 2021, Expert Syst. Appl..

Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet Architecture

Ayyaz Hussain, Q. Abbas, Imran Qureshi, 2023, Diagnostics.

Computer-Aided Detection of Hypertensive Retinopathy Using Depth-Wise Separable CNN

Ayyaz Hussain, Q. Abbas, Junhua Yan, 2022, Applied Sciences.

An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture

Q. Abbas, Imran Qureshi, Mostafa E. A. Ibrahim, 2021, Sensors.

Finger-vein presentation attack detection using depthwise separable convolution neural network

Q. Abbas, Munish Kumar, Imran Qureshi, 2022, Expert Syst. Appl..

A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends

Aihua Mao, Kashif Shaheed, Qaisar Abbas, 2021, Archives of Computational Methods in Engineering.

A hybrid proposed image quality assessment and enhancement framework for finger vein recognition

Imran Qureshi, Kashif Shaheed, 2022, Multimedia Tools and Applications.

Novel Image Quality Assessment and Enhancement Techniques for Finger Vein Recognition

Gongping Yang, Yilong Yin, Lu Yang, 2018, 2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).

A Systematic Review of Finger Vein Recognition Techniques

Gongping Yang, Yilong Yin, Imran Qureshi, 2018, Inf..

Detection of glaucoma based on cup-to-disc ratio using fundus images

Tanzila Saba, Muhammad Attique Khan, Jun Ma, 2020, Int. J. Intell. Syst. Technol. Appl..

Global context-aware multi-scale features aggregative network for salient object detection

Yilong Yin, Muwei Jian, Zafar Ali, 2021, Neurocomputing.

A Hybrid Proposed Fundus Image Enhancement Framework for Diabetic Retinopathy

Jun Ma, Imran Qureshi, Kashif Shaheed, 2019, Algorithms.

CPU Scheduling Algorithms: A Survey

Imran Qureshi, Imran Qureshi, 2014 .

Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities

KASHIF SHAHEED, AIHUA MAO, IMRAN QURESHI, 2021, Inf. Fusion.

FAS-Incept-HR: a fully automated system based on optimized inception model for hypertensive retinopathy classification

Imran Qureshi, A. Youssef, M. Z. Sajid, 2023, Multimedia Tools and Applications.

SGDB: a database of synthetic genes re-designed for optimizing protein over-expression

Gang Wu, Imran Qureshi, Blazej Bulka, 2006, Nucleic Acids Res..