Inam Ullah Khan

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	All	Since 2019
Citations	43	43
h-index	3	3
i10-index	1	1

2019202020212022202320241 21 21

Co-authors

Sami AzamProfessor, Charles Darwin UniversityVerified email at cdu.edu.au
Mirjam JonkmanCharles Darwin UniversityVerified email at cdu.edu.au
Saddam MuktaPost-doctoral Researcher, LUT University, FinlandVerified email at lut.fi
Friso De BoerCharles Darwin UniversityVerified email at cdu.edu.au
Kaniz FatemaStudentVerified email at diu.edu.bd
Mohaimenul Azam Khan RaiaanConsultant - Research Assistant, Charles Darwin UniversityVerified email at cdu.edu.au
Md Rafi ur RashidDepartment of CSE, Penn State UniversityVerified email at psu.edu
Sidratul MontahaMaster Student, Computer ScienceVerified email at diu.edu.bd
Abdullah Al MahmudLecturer (Lab), Daffodil International UniversityVerified email at diu.edu.bd
Asif Karim, PhDLecturer (Discipline of IT) - Charles Darwin University, AustraliaVerified email at cdu.edu.au
Md Zahid Hasan, PhDAssociate Professor, Computer Science and Engineering, Daffodil International UniversityVerified email at diu.edu.bd
Pronab GhoshGraduate Research Assistant, Lakehead University, Ontario, Canada.Verified email at lakeheadu.ca

Inam Ullah Khan

Research Assistant(RA) United International University

Verified email at diu.edu.bd

Computer Vision ML Deep Learning


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A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images MAK Raiaan, K Fatema, IU Khan, S Azam, MR ur Rashid, MSH Mukta, ... IEEE Access, 2023	25	2023
A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time IU Khan, MAK Raiaan, K Fatema, S Azam, R Rashid, SH Mukta, ... Biomedicines 11 (6), 1566, 2023	8	2023
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification IU Khan, S Azam, S Montaha, A Al Mahmud, AKMRH Rafid, MZ Hasan, ... Intelligent Systems with Applications 16, 200147, 2022	7	2022
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images MZ Hasan, S Montaha, IU Khan, MM Hassan, A Al Mahmud, ... IEEE Access 12, 31117-31135, 2024	1	2024
Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation MR Islam Bhuiyan, S Azam, S Montaha, RI Jim, A Karim, IU Khan, ... Digital Health 9, 20552076231215915, 2023	1	2023
Intelligent Systems with Applications IU Khan, S Azam, S Montaha, A Al Mahmud, AKM Rakibu, H Rafid, ...	1	2019
A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease A Al Mahmud, A Karim, I Ullah Khan, P Ghosh, S Azam, E Haque Proceedings of the 10th International Conference on Computer and …, 2022		2022

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