D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients. - Md. Mahbub Alam; Swapnil Saha; Proshib Saha; Fernaz Narin Nur; Nazmun Nessa Moon; Asif Karim; Sami Azam (IJCCI, 2018)

Shot-Net: A Convolutional Neural Network for Classifying Different Cricket Shots. - Md. Ferdouse Ahmed Foysal; Mohammad Shakirul Islam; Asif Karim; Nafis Neehal (RTIP2R (1), 2018)

A Comprehensive Survey for Intelligent Spam Email Detection. - Asif Karim; Sami Azam; Bharanidharan Shanmugam; Krishnan Kannoorpatti; Mamoun Alazab (IEEE Access, 2019)

An Intelligent Spam Detection Model Based on Artificial Immune System. - Abdul Jabbar Saleh; Asif Karim; Bharanidharan Shanmugam; Sami Azam; Krishnan Kannoorpatti; Mirjam Jonkman; Friso De Boer (Inf., 2019)

An Automated System in ATM Booth Using Face Encoding and Emotion Recognition Process. - Atiqul Islam Chowdhury; Mohammad Munem Shahriar; Ashraful Islam; Eshtiak Ahmed; Asif Karim; Mohammad Rezwanul Islam (IPMV, 2020)

Efficient Clustering of Emails Into Spam and Ham: The Foundational Study of a Comprehensive Unsupervised Framework. - Asif Karim; Sami Azam; Bharanidharan Shanmugam; Krishnan Kannoorpatti (IEEE Access, 2020)

A Robust Deep Learning based Prediction System of Heart Disease using a Combination of Five Datasets. - Ritu Biswas; Abhijith Reddy Beeravolu; Asif Karim; Sami Azam; Md. Tanvir Hasan; Md. Soriful Alam; Pronab Ghosh (ICCTA, 2021)

Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases. - Pronab Ghosh; Sami Azam; Asif Karim; Mirjam Jonkman; Md. Zahid Hasan (ICISDM, 2021)

A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer. - Pronab Ghosh; Sami Azam; Khan Md. Hasib; Asif Karim; Mirjam Jonkman; Adnan Anwar (IJCNN, 2021)

A Comparative Study of Different Machine Learning Tools in Detecting Diabetes. - Pronab Ghosh; Sami Azam; Asif Karim; Md. Mehedi Hassan; Kuber Roy; Mirjam Jonkman (KES, 2021)

Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques. - Pronab Ghosh; Sami Azam; Mirjam Jonkman; Asif Karim; F. M. Javed Mehedi Shamrat; Eva Ignatious; Shahana Shultana; Abhijith Reddy Beeravolu; Friso De Boer (IEEE Access, 2021)

An Unsupervised Approach for Content-Based Clustering of Emails Into Spam and Ham Through Multiangular Feature Formulation. - Asif Karim; Sami Azam; Bharanidharan Shanmugam; Krishnan Kannoorpatti (IEEE Access, 2021)

Machine Learning Based PV Power Generation Forecasting in Alice Springs. - Khizir Mahmud; Sami Azam; Asif Karim; S. M. Zobaed; Bharanidharan Shanmugam; Deepika Mathur (IEEE Access, 2021)

DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning. - S. M. Zobaed; Md Fazle Rabby; Md Istiaq Hossain; Ekram Hossain; Sazib Hasan; Asif Karim; Khan Md. Hasib (CoRR, 2021)

Intelligent Identification of Hate Speeches to address the increased rate of Individual Mental Degeneration. - Lamima Tabassum Ava; Asif Karim; Md. Mehedi Hassan; Fahad Faisal; Sami Azam; A. S. M. Farhan Al Haque; Sadika Zaman (CENTERIS/ProjMAN/HCist, 2022)

Dementia Prediction Using Machine Learning. - Sara Dhakal; Sami Azam; Khan Md. Hasib; Asif Karim; Mirjam Jonkman; A. S. M. Farhan Al Haque (CENTERIS/ProjMAN/HCist, 2022)

An Apriori Algorithm-Based Association Rule Analysis to detect Human Suicidal Behaviour. - Md. Mehedi Hassan; Asif Karim; Swarnali Mollick; Sami Azam; Eva Ignatious; A. S. M. Farhan Al Haque (CENTERIS/ProjMAN/HCist, 2022)

A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease. - Abdullah Al Mahmud 002; Asif Karim; Inam Ullah Khan; Pronab Ghosh; Sami Azam; Enamul Haque (ICCCM, 2022)

A Machine Learning based Proposition for Automated and Methodical Prediction of Liver Disease. - Shorove Tajmen; Asif Karim; Aunik Hasan Mridul; Sami Azam; Pronab Ghosh; Al-Amin Dhaly; Md Nour Hossain (ICCCM, 2022)

An Image Recognition System of Aboriginal Artefact for Knowledge Sharing using Machine Learning. - Yajun Ma; Asif Karim; A. S. M. Farhan Al Haque (GCH, 2022)

TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study. - Sidratul Montaha; Sami Azam; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Asif Karim; Ashraful Islam (IEEE Access, 2022)

A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis. - Farhana Yasmin; Md. Mehedi Hassan; Sadika Zaman; Si Thu Aung; Asif Karim; Sami Azam (Comput., 2022)

Bengali News Abstractive Summarization: T5 Transformer and Hybrid Approach. - Khan Md. Hasib; Md. Atiqur Rahman; Mustavi Ibne Masum; Friso De Boer; Sami Azam; Asif Karim (DICTA, 2023)

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data. - Khan Md. Hasib; Sami Azam; Asif Karim; Ahmed Al Marouf; F. M. Javed Mehedi Shamrat; Sidratul Montaha; Kheng Cher Yeo; Mirjam Jonkman; Reda Alhajj; Jon G. Rokne (IEEE Access, 2023)

Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning. - Md. Shakhaout Hossain; Sami Azam; Asif Karim; Sidratul Montaha; Ryana Quadir; Friso De Boer; Md. Altaf-Ul-Amin (IEEE Access, 2023)

AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer's Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images. - F. M. Javed Mehedi Shamrat; Shamima Akter; Sami Azam; Asif Karim; Pronab Ghosh; Zarrin Tasnim; Khan Md. Hasib; Friso De Boer; Kawsar Ahmed (IEEE Access, 2023)

Analysis of Diabetic Retinopathy (DR) Based on the Deep Learning. - Abdul Muiz Fayyaz; Muhammad Imran Sharif 001; Sami Azam; Asif Karim; Jamal El-Den (Inf., 2023)

High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images. - F. M. Javed Mehedi Shamrat; Sami Azam; Asif Karim; Kawsar Ahmed; Francis M. Bui; Friso De Boer (Comput. Biol. Medicine, 2023)

Brain Tumor Segmentation from 3D MRI Scans Using U-Net. - Sidratul Montaha; Sami Azam; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Asif Karim (SN Comput. Sci., 2023)

Camera-based interactive wall display using hand gesture recognition. - Rida Zahra; Afifa Shehzadi; Muhammad Imran Sharif 001; Asif Karim; Sami Azam; Friso De Boer; Mirjam Jonkman; Mehwish Mehmood (Intell. Syst. Appl., 2023)

Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach. - Sami Azam; Sidratul Montaha; A. K. M. Rakibul Haque Rafid; Asif Karim; Mirjam Jonkman; Friso De Boer; Gabrielle McCallum; Ian Brent Masters; Anne B. Chang (Intell. Syst. Appl., 2023)

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. - Md. Zahid Hasan; Sidratul Montaha; Inam Ullah Khan; Md. Mehedi Hassan; Abdullah Al Mahmud 002; A. K. M. Rakibul Haque Rafid; Sami Azam; Asif Karim; Spyridon Prountzos; Efthymia Alexopoulou; Umama Binta Ashraf; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review. - Md. Awlad Hossen Rony; Kaniz Fatema; Mohaimenul Azam Khan Raiaan; Md. Mehedi Hassan; Sami Azam; Asif Karim; Mirjam Jonkman; Jemima Beissbarth; Friso De Boer; Sheikh Mohammed Shariful Islam; Amanda Leach (IEEE Access, 2024)

Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set. - Sami Azam; Md Awlad Hossain Rony; Mohaimenul Azam Khan Raiaan; Kaniz Fatema; Asif Karim; Mirjam Jonkman; Jemima Beissbarth; Amanda Leach; Friso De Boer (Array, 2024)

Distinguishing Human Journalists from Artificial Storytellers Through Stylistic Fingerprints. - Van Hieu Tran; Yakub Sebastian; Asif Karim; Sami Azam (Comput., 2024)

Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency. - Niful Islam; Khan Md. Hasib; Fahmida Akter Joti; Asif Karim; Sami Azam (CoRR, 2024)

Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh. - M. Raihan; Sami Azam; Laboni Akter; Md. Mehedi Hassan; Ryana Quadir; Asif Karim; Saikat Mondal; Arun More (Data Intell., 2024)

Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach. - Arefin Ittesafun Abian; Mohaimenul Azam Khan Raiaan; Asif Karim; Sami Azam; Nur Mohammad Fahad; Niusha Shafiabady; Kheng Cher Yeo; Friso De Boer (Frontiers Comput. Sci., 2024)

A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019-2023. - Shalini Kumari; Chander Prabha; Asif Karim; Md. Mehedi Hassan; Sami Azam (IET Inf. Secur., 2024)

An image quality assessment method based on edge extraction and singular value for blurriness. - Lei Zhou; Chuanlin Liu; Amit Yadav; Sami Azam; Asif Karim (Mach. Vis. Appl., 2024)

An Automated Histopathological Colorectal Cancer Multi-Class Classification System Based on Optimal Image Processing and Prominent Features. - Tasnim Jahan Tonni; Shakil Rana; Kaniz Fatema; Asif Karim; Md. Awlad Hossen Rony; Md. Zahid Hasan; Md. Saddam Hossain Mukta; Sami Azam (Comput. Intell., 2024)

SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time. - Abdullah Al Mahmud 002; Sami Azam; Inam Ullah Khan; Sidratul Montaha; Asif Karim; Aminul Haque; Md. Zahid Hasan; Mark Brady; Ritu Biswas; Mirjam Jonkman (Neural Comput. Appl., 2024)

Resource constraint crop damage classification using depth channel shuffling. - Md Tanvir Islam; Safkat Shahrier Swapnil; Md. Masum Billal; Asif Karim; Niusha Shafiabady; Md. Mehedi Hassan (Eng. Appl. Artif. Intell., 2025)

An Efficient Deadline Based Priority Job Scheduling in Mobile Cloud Computing. - Muhammad Makama Mahmudur Rahman Ohee; Fernaz Narin Nur; Asif Karim; Shaheena Sultana; Sami Azam; Nazmun Nessa Moon (IET Commun., 2025)

A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis. - Sadia Sultana Chowa; Md. Rahad Islam Bhuiyan; Israt Jahan Payel; Asif Karim; Inam Ullah Khan; Sidratul Montaha; Md. Zahid Hasan; Mirjam Jonkman; Sami Azam (J. Heal. Informatics Res., 2025)

HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging. - Arefin Ittesafun Abian; Ripon Kumar Debnath; Md. Abdur Rahman; Mohaimenul Azam Khan Raiaan; Md Rafiqul Islam; Asif Karim; Reem E. Mohamed; Sami Azam (CoRR, 2025)