AmirEhsan Khorashadizadeh

Amir is a postdoctoral researcher in Computational X-ray Imaging group at Paul Scherrer Institute (PSI) and EPFL, working with Prof. Manuel Guizar Sicairos. His research lies at the intersection of machine learning and computational imaging, with a focus on diffractive imaging and tomography for 3D reconstruction using deep learning.
Further information can be found at Amir's personal webpage.

Selected publications

GLIMPSE: Generalized Locality for Scalable and Robust CT

AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu and Ivan Dokmanić
Published in IEEE Transactions on Medical Imaging in 2025

Lofi: Neural local fields for scalable image reconstruction

AmirEhsan Khorashadizadeh, Tobías I Liaudat, Tianlin Liu, Jason D McEwen, Ivan Dokmanić
Published in IEEE Transactions on Computational Imaging in 2025

FunkNN: Neural Interpolation for Functional Generation

AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot, Ivan Dokmanić
Published in 11th International Conference on Learning Representations (ICLR) in 2023

Deep injective prior for inverse scattering

AmirEhsan Khorashadizadeh, Vahid Khorashadizadeh, Sepehr Eskandari, Guy AE Vandenbosch, Ivan Dokmanić
Published in IEEE Transactions on Antennas and Propagation in 2023

Conditional Injective Flows for Bayesian Imaging

AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten de Hoop, Ivan Dokmanić
Published in IEEE Transactions on Computational Imaging in 2023

Trumpets: Injective flows for inference and inverse problems

Konik Kothari, AmirEhsan Khorashadizadeh, Maarten de Hoop, Ivan Dokmanić
Published in Uncertainty in Artificial Intelligence (UAI) in 2021