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Muhammad Maqsud Hossain
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2020 – today
- 2023
- [j4]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury
, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. Neural Comput. Appl. 35(24): 17461-17483 (2023) - [j3]Md Sakib Abrar Hossain
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. Sensors 23(21): 8890 (2023) - 2022
- [j2]Farhan Fuad Abir
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data. Comput. Biol. Medicine 147: 105682 (2022) - [j1]Md. Shafayet Hossain
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. Sensors 22(9): 3169 (2022) - [i2]Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain:
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. CoRR abs/2204.04533 (2022) - [i1]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data. CoRR abs/2206.07595 (2022)
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