An Improved Person Re-identification Method by light-weight convolutional neural network. - Sajad Amouei Sheshkal; Kazim Fouladi-Ghaleh; Hossein Aghababa (CoRR, 2020)

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. - Vajira Thambawita; Pegah Salehi; Sajad Amouei Sheshkal; Steven Alexander Hicks; Hugo Lewi Hammer; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CoRR, 2021)

ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques. - Sajad Amouei Sheshkal; Michael Alexander Riegler; Hugo Lewi Hammer (CBMS, 2023)

Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. - Sajad Amouei Sheshkal; Morten Gundersen; Michael Alexander Riegler; Øygunn Aass Utheim; Kjell Gunnar Gundersen; Hugo Lewi Hammer (CoRR, 2024)

Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis. - Pegah Salehi; Sajad Amouei Sheshkal; Vajira Thambawita; Sushant Gautam; Saeed Shafiee Sabet; Dag Johansen; Michael A. Riegler; Pål Halvorsen (CoRR, 2024)

From Flat to Feeling: A Feasibility and Impact Study on Dynamic Facial Emotions in AI-Generated Avatars. - Pegah Salehi; Sajad Amouei Sheshkal; Vajira Thambawita; Pål Halvorsen (CoRR, 2025)