Machine Learning Methods for Electroencephalogram-Based Age Prediction. - Grant Sinha; Nabil Belacel; Zhiyang Gu; Sam M. Doesburg; George Medvedev; Urs Ribary; Vasily A. Vakorin; Pengcheng Xi (SENSORS, 2023)

Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions. - Grant Sinha; Krish Parmar; Hilda Azimi; Chi-En Amy Tai; Yuhao Chen 001; Alexander Wong; Pengcheng Xi (CoRR, 2023)

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. - Kai Ma; Siyuan He; Grant Sinha; Ashkan Ebadi; Adrian Florea; Stéphane Tremblay; Alexander Wong; Pengcheng Xi (Sensors, 2023)

Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models. - Zara Cook; Grant Sinha; Jack Wang 007; Chengzong Zhao; Nabil Belacel; Sam M. Doesburg; George Medvedev; Urs Ribary; Vasily A. Vakorin; Pengcheng Xi (I2MTC, 2024)