Z. Mahbub

发表

Location of Peptide-Induced Submicron Discontinuities in the Membranes of Vesicles Using ImageJ

M. Karal, Md. Kabir Ahamed, Marzuk Ahmed, 2020, Journal of Fluorescence.

Quantitative MRI and EMG study of the brachial plexus

Z. Mahbub, 2014 .

Deformation and poration of giant unilamellar vesicles induced by anionic nanoparticles.

M. Belaya, M. Karal, Md. Kabir Ahamed, 2020, Chemistry and physics of lipids.

Presence of time‐dependent diffusion in the brachial plexus

P. Gowland, Z. Mahbub, A. Peters, 2018, Magnetic resonance in medicine.

Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: An alternative to conventional spiral MR Fingerprinting.

Ian Marshall, Arnold Julian Vinoj Benjamin, Pedro A. Gómez, 2019, Magnetic resonance imaging.

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

Khandaker F. Islam, Z. Mahbub, A. Khandakar, 2022, Neural Computing and Applications.

ANALYSIS OF EVOKED EMG USING WAVELET TRANSFORMATION

Z. Mahbub, K. S. Rabbani, J. Karami, 2013, 1905.12223.

Adaptive-BLIP for Magnetic Resonance Fingerprinting

M. Davies, Y. Wiaux, I. Marshall, 2017 .

Recent developments in the kinetics of ruptures of giant vesicles under constant tension

M. Karal, Md. Kabir Ahamed, Marzuk Ahmed, 2021, RSC advances.

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray pdf

Saad Kashem, Amith Khandakar, Muhammad E. H. Chowdhury, 2020, Applied Sciences.

Nanosensors in biomedical and environmental applications: Perspectives and prospects

Mamun Rabbani, Zaid Bin Mahbub, Enamul Hoque, 2020 .

Can AI Help in Screening Viral and COVID-19 Pneumonia?

Mamun Bin Ibne Reaz, Muhammad Salman Khan, Amith Khandakar, 2020, IEEE Access.

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization

Amith Khandakar, Mohamed Arselene Ayari, Tahir Hamid, 2020, IEEE Access.

Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques

Mohammad Monir Uddin, Mamun Bin Ibne Reaz, Amith Khandakar, 2020, Sensors.

Study of molecular transport through a single nanopore in the membrane of a giant unilamellar vesicle using COMSOL simulation

M. Karal, Z. Mahbub, M. Islam, 2019, European Biophysics Journal.

Study of molecular transport through a single nanopore in the membrane of a giant unilamellar vesicle using COMSOL simulation

M. Karal, Z. Mahbub, M. Islam, 2019, European Biophysics Journal.

Increase in conduction velocity in myelinated nerves due to stretch – An experimental verification

M. Karal, Z. Mahbub, S. Sharmin, 2023, Frontiers in Neuroscience.

Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model

Md. Shafayet Hossain, Z. Mahbub, A. Khandakar, 2022, Sensors.

Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature

Md. Ahasan Atick Faisal, S. Kiranyaz, M. Ayari, 2022, Sensors.

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model

Mohammad Monir Uddin, Mamun Bin Ibne Reaz, Amith Khandakar, 2021, IEEE Access.

NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern

Md. Ahasan Atick Faisal, Mosabber Uddin Ahmed, Z. Mahbub, 2023, Applied Intelligence.

Frequency Domain Analysis to Identify Neurological Disorders from Evoked EMG Responses

Z. Mahbub, K. S. Rabbani, Zaid Bin Mahbub, 2007, Journal of biological physics.

A new purification technique to obtain specific size distribution of giant lipid vesicles using dual filtration

M. Karal, Md. Kabir Ahamed, Marzuk Ahmed, 2021, PloS one.

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model

M. Ayari, A. Khandakar, Z. Mahbub, 2023, Sensors.

MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals

Md. Shafayet Hossain, N. Al-Emadi, Z. Mahbub, 2023, Bioengineering.

Can AI Help in Screening Viral and COVID-19 Pneumonia?

N. Al-Emadi, Z. Mahbub, A. Iqbal, 2020, IEEE Access.

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques

T. Alam, M. Ayari, Z. Mahbub, 2022, Sensors.

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization

Khandaker F. Islam, M. Islam, M. Ayari, 2020, IEEE Access.

Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals

Mohammad Monir Uddin, Md. Ahasan Atick Faisal, Farhan Fuad Abir, 2023, Biomed. Signal Process. Control..

Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model

H. Yalcin, Z. Mahbub, Onur Mutlu, 2023, Engineering applications of artificial intelligence.

Analysis of Continuous Motor Nerve Conduction Velocity Distribution from Compound Muscle Action Potential

Zakaria Shams Siam, M. Karal, Z. Mahbub, 2020, 2020 11th International Conference on Electrical and Computer Engineering (ICECE).

A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model pdf

Mohammad Monir Uddin, Amith Khandakar, M. Monir Uddin, 2021, ArXiv.

Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imaging

F. Bensaali, Z. Mahbub, S. Mahmud, 2024, Eng. Appl. Artif. Intell..

Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature

Z. Mahbub, A. Khandakar, Mohammed Alhatou, 2022, SSRN Electronic Journal.