Henriette Bier, Seyran Khademi, Casper van Engelenburg, J. Micah Prendergast, Luka Peternel (2022), Computer Vision and Human–Robot Collaboration Supported Design-to-Robotic-Assembly, In Construction Robotics p.1-7.

Zhaiyu Chen, Hugo Ledoux, Seyran Khademi, Liangliang Nan (2022), Reconstructing compact building models from point clouds using deep implicit fields, In ISPRS Journal of Photogrammetry and Remote Sensing Volume 194 p.58-73.

Seyran Khademi, Tino Mager, Ronald Siebes (2021), Deep Learning from History: Unlocking Historical Visual Sources Through Artificial Intelligence, Florian Niebling, Sander Münster, Heike Messemer (Eds.), In Research and Education in Urban History in the Age of Digital Libraries p.213-233, Springer.

Reza Serajeh, Seyran Khademi, Amir Mousavinia, Jan C. van Gemert (2020), On Sensitive Minima in Margin-Based Deep Distance Learning, In IEEE Access Volume 8 p.145067-145076.

Ronald Siebes, Seyran Khademi, Tino Mager, Carola Hein, Victor de Boer, Jan van Gemert (2019), Creating a 4D Street View of Amsterdam from Historical Images, Time Machine Conference 2019.

Xin Liu, Seyran Khademi, Jan C. van Gemert (2019), Cross Domain Image Matching in Presence of Outliers, In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 p.3250-3256.

Xiangwei Shi, Seyran Khademi, Jan van Gemert (2019), Deep Visual City Recognition Visualization, In NCCV 2019 – The Netherlands Conference on Computer Vision p.1-6.

Tino Mager, Seyran Khademi, Ronald Siebes, Carola Hein, Victor de Boer, Jan van Gemert (2019), Visual Content Analysis and Linked Data for Automatic Enrichment of Architecture-Related Images, Horst Kremers (Eds.), In Digital Cultural Heritage p.279-293, Springer.

Seyran Khademi, Xiangwei Shi, Tino Mager, Ronald Siebes, Carola Hein, Victor De Boer, Jan Van Gemert (2018), Sight-seeing in the eyes of deep neural networks, W. Hazeleger (Eds.), In Proceedings - IEEE 14th International Conference on eScience, e-Science 2018 p.407-408, IEEE.

Negin Bakhshi Zanjani, Seyran Khademi, Geert Leus (2017), Gradient-Based Solution for Hybrid Precoding in MIMO Systems, In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings p.3489-3493, IEEE.