‪Nima Fathi‬ - ‪Google Scholar‬

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Co-authors

Mohammad Hossein RohbanComputer Eng. Department, Sharif University of TechnologyVerified email at sharif.edu
Tal ArbelProfessor of Electrical & Computer Engineering, McGill UniversityVerified email at cim.mcgill.ca
Brennan NichyporukResearch Scientist, MilaVerified email at mila.quebec
Raghav MehtaMcGill UniversityVerified email at cim.mcgill.ca
Amar Kumar

Nima Fathi

Nima Fathi

McGill University

Verified email at mail.mcgill.ca - Homepage

Deep Learning Computer Vision Generative Models Medical Imaging


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Swinchex: Multi-label classification on chest x-ray images with transformers S Taslimi, S Taslimi, N Fathi, M Salehi, MH Rohban arXiv preprint arXiv:2206.04246, 2022	16	2022
Debiasing counterfactuals in the presence of spurious correlations A Kumar, N Fathi, R Mehta, B Nichyporuk, JPR Falet, S Tsaftaris, T Arbel Workshop on Clinical Image-Based Procedures, 276-286, 2023	2	2023
Towards human pose prediction using the encoder-decoder lstm A Saadat, N Fathi, S Saadatanejad ICCV Workshops, 2021	2	2021
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations N Fathi, A Kumar, B Nichyporuk, M Havaei, T Arbel Medical Imaging with Deep Learning, 2024		2024

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