A novel 1D generative adversarial network-based framework for atrial fibrillation detection using restored wrist photoplethysmography signals.

Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics.

A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN.

Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring.

Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning.

Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN.

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

LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams.

M2ECG: Wearable Mechanocardiograms to Electrocardiogram Estimation Using Deep Learning.

QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning.

ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and Implementation.

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults.

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images.

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

Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound.

MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network.

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

PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection.

NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals.

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.

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

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

An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning.

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.

Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia.

HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images.

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.

QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds.

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images.

Detection and severity classification of COVID-19 in CT images using deep learning.

COVID-19 infection localization and severity grading from chest X-ray images.

Milled Microchannel-Assisted Open D-Channel Photonic Crystal Fiber Plasmonic Biosensor.