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ORCIDPartho Ghose
2020 – today
- 2025
[j3]Partho Ghose
, Khondokar Oliullah, Md. Kawsher Mahbub, Milon Biswas, Kazi Nur Uddin, Hasan M. Jamil:
Explainable AI assisted heart disease diagnosis through effective feature engineering and stacked ensemble learning. Expert Syst. Appl. 265: 125928 (2025)- 2023
- [j2]Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, Partho Ghose:
A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection. IEEE Access 11: 87694-87708 (2023) - [c4]Partho Ghose, Milon Biswas, Loveleen Gaur:
BrainSegNeT: A Lightweight Brain Tumor Segmentation Model Based on U-Net and Progressive Neuron Expansion. BI 2023: 249-260 - 2022
- [j1]Partho Ghose, Md. Ashraf Uddin, Uzzal Kumar Acharjee, Selina Sharmin:
Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture. Intell. Syst. Appl. 16: 200130 (2022) - [c3]Partho Ghose, Selina Sharmin, Loveleen Gaur, Zhongming Zhao:
Grid-Search Integrated Optimized Support Vector Machine Model for Breast Cancer Detection. BIBM 2022: 2846-2852 - [c2]Md. Kawsher Mahbub, Md. Zakir Hossain Zamil, Md. Abdul Mozid Miah, Partho Ghose, Milon Biswas, KC Santosh:
MobApp4InfectiousDisease: Classify COVID-19, Pneumonia, and Tuberculosis. CBMS 2022: 119-124
2010 – 2019
- 2018
- [c1]Partho Ghose, Md. Naimur Rahman, Md. Masbaul Alam Polash, Uzzal Kumar Acharjee:
Design of Reversible Shift Registers Minimizing Number of Gates, Constant Inputs and Garbage Outputs. ICACCI 2018: 752-758
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