Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (IEEE Signal Process. Lett., 2020)

One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (Biomed. Signal Process. Control., 2022)

Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (Circuits Syst. Signal Process., 2022)

Edge of Medical Things Implementation for Deep Learning-Based Cognitive Task Recognition. - Manali Saini; Deepak Kumar; Udit Satija (IEEE Internet Things Mag., 2022)

BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation. - Manali Saini; Anant Jain; Lalan Kumar; Suriya Prakash Muthukrishnan; Shubhendu Bhasin; Sitikantha Roy (CoRR, 2023)

DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI. - Manali Saini; Udit Satija; Madhur Deo Upadhayay (IEEE Internet Things J., 2023)

DMAeEDNet: Dense Multiplicative Attention Enhanced Encoder Decoder Network for Ultrasound-Based Automated Breast Lesion Segmentation. - Manali Saini; Humayra Afrin; Setayesh Sotoudehnia; Mostafa Fatemi; Azra Alizad (IEEE Access, 2024)

A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection. - Sayantika Mandal; G. Pradeep Kumar; Manali Saini; Udit Satija; Yogesh Kumar (IEEE Trans. Instrum. Meas., 2024)

BiCurNet: Premovement EEG-Based Neural Decoder for Biceps Curl Trajectory Estimation. - Manali Saini; Anant Jain; Suriya Prakash Muthukrishnan; Shubhendu Bhasin; Sitikantha Roy; Lalan Kumar (IEEE Trans. Instrum. Meas., 2024)