| 2026 | QoMEX | A Hybrid Subjective Quality Assessment Framework for Light Field Coding. | Saeed Mahmoudpour, Mylne C. Q. Farias, Shengyang Zhao |
| 2025 | PCS | Benchmarking Objective Quality Assessment Methods for Light Field Coding Applications. | Saeed Mahmoudpour, Gi-Mun Um, Hyon-Gon Choo, Peter Schelkens |
| 2025 | QoMEX | A Dataset for Artefact Detection of Whole Slide Images in Digital Pathology. | Tien Nguyen, Saeed Mahmoudpour, Guillaume E. Courtoy, Wim Waelput, Ramses Forsyth, Jonas De Vylder, Bart Diricx, Jef Vandemeulebroucke, Peter Schelkens |
| 2024 | QoMEX | A Subjective Test Framework for JPEG Pleno Quality Assessment. | Shengyang Zhao, Saeed Mahmoudpour, Mylne C. Q. Farias, Carla L. Pagliari, Peter Schelkens |
| 2023 | QoMEX | On the Correspondence between Human Vision and Convolutional Neural Networks: A Visual Quality Assessment Perspective. | Saeed Mahmoudpour, Peter Schelkens |
| 2023 | QoMEX | Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks. | Yuqing Yang, Saeed Mahmoudpour, Peter Schelkens, Nikos Deligiannis |
| 2022 | ICIP | Revisiting Natural Scene Statistical Modeling Using Deep Features for Opinion-Unaware Image Quality Assessment. | Saeed Mahmoudpour, Peter Schelkens |
| 2020 | QoMEX | Cross Data Set Performance Consistency of Objective Quality Assessment Methods for Light Fields. | Saeed Mahmoudpour, Peter Schelkens |
| 2018 | QoMEX | A Just Noticeable Difference Subjective Test for High Dynamic Range Images. | Ayyoub Ahar, Saeed Mahmoudpour, Glenn Van Wallendael, Tom Paridaens, Peter Lambert, Peter Schelkens |
| 2017 | QoMEX | Reduced-reference image quality assessment based on internal generative mechanism utilizing shearlets and Rnyi entropy analysis. | Saeed Mahmoudpour, Peter Schelkens |
| 2016 | ICIP | Superpixel-based depth map estimation using defocus blur. | Saeed Mahmoudpour, Manbae Kim |