Conference Papers (12)
- 1. Md. Sozib Hossain, Md. Ali Hossain, and Utsha Das; "A Low-Cost Model for Lung Nodule Classification from 3D CT Images using the Feature-Fused Orthogonal Views with Parallel 2D CNNs", 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking, 2025
- 2. Kaif Ahmed Khan, Utsha Das, Md. Tanvir Raihan, MD. Hirok Reza, and Maruf Billah; "A Machine Learning Framework for Non-invasive Hepatitis C Virus Detection Using Feature Selection", 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking, 2025
- 3. Md. Sozib Hossain, Md. Ali Hossain, and Utsha Das; "Patch-Based Lung Nodule Malignancy Classification using Vision Transformer with XAI Interpretation", 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking, 2025
- 4. Md Ibrahim Sarker Raiyan, Sakib Sarker, Utsha Das, Emon Ahammed, Md. Tareq Zaman, and Mahshar Yahan; "Identification of Potential Genomic Biomarkers in Pancreatic Cancer, Colon Cancer, and Ulcerative Colitis Using Integrated Machine Learning and Bioinformatics Approaches", 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking, 2025
- 5. Utsha Das, Boshir Ahmed; "An Explainable ML Approach for Diabetes Detection Using the Influential Features", 2023 26th International Conference on Computer and Information Technology (ICCIT), 2023
- 6. Utsha Das, Boshir Ahmed; "Identification of Influential Features for Diabetes Prediction at Early Stage", 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2022
- 7. Md Al Mehedi Hasan, Jungpil Shin, Utsha Das, Azmain Yakin Srizon; "Identifying prognostic features for predicting heart failure by using machine learning algorithm", 2021 11th International Conference on Biomedical Engineering and Technology, 2021
- 8. Utsha Das, Azmain Yakin Srizon, Md Al Mehedi Hasan, Julia Rahman, Md Khaled Ben Islam; "Effective data dimensionality reduction workflow for high-dimensional gene expression datasets", 2020 IEEE Region 10 Symposium (TENSYMP), 2020
- 9. Utsha Das, Azmain Yakin Srizon, Md Al Mehedi Hasan; "Accurate recognition of coronary artery disease by applying machine learning classifiers", 2020 23rd International Conference on Computer and Information Technology (ICCIT), 2020
- 10. Utsha Das, Azmain Yakin Srizon, Md Ansarul Islam, Dhiman Sikder Tonmoy, Md Al Mehedi Hasan; "Prognostic Biomarkers Identification for Diabetes Prediction by Utilizing Machine Learning Classifiers", 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), 2020
- 11. Utsha Das, Md. Al Mehedi Hasan, and Julia Rahman; "Influential Gene Identification for Cancer Classification", 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019
- 12. Utsha Das, Md Al Mehedi Hasan, and Julia Rahman; "Identification of Potential Biomarker Using Combined Analysis of Differentially Expressed Genes and miRNAs for Alzheimer’s Disease", 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), 2019