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Laleh Seyyed-Kalantari
Laleh Seyyed-Kalantari
Assistant Professor, York University
Verified email at yorku.ca
Title
Cited by
Cited by
Year
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
L Seyyed-Kalantari, H Zhang, MBA McDermott, IY Chen, M Ghassemi
Nature medicine 27 (12), 2176-2182, 2021
2962021
CheXclusion: Fairness gaps in deep chest X-ray classifiers
L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi
BIOCOMPUTING 2021: proceedings of the Pacific symposium, 232-243, 2020
2372020
AI recognition of patient race in medical imaging: a modelling study
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
The Lancet Digital Health 4 (6), e406-e414, 2022
2282022
Reading race: AI recognises patient's racial identity in medical images
I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ...
arXiv preprint arXiv:2107.10356, 2021
692021
An empirical framework for domain generalization in clinical settings
H Zhang, N Dullerud, L Seyyed-Kalantari, Q Morris, S Joshi, M Ghassemi
Proceedings of the conference on health, inference, and learning, 279-290, 2021
542021
Wideband cloaking of objects with arbitrary shapes exploiting adjoint sensitivities
LS Kalantari, MH Bakr
IEEE Transactions on Antennas and Propagation 64 (5), 1963-1968, 2016
242016
Evaluating knowledge transfer in the neural network for medical images
S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi
IEEE Access, 2023
162023
AI pitfalls and what not to do: mitigating bias in AI
JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ...
The British Journal of Radiology 96 (1150), 20230023, 2023
152023
Adjoint sensitivity analysis of 3D problems with anisotropic materials
LS Kalantari, O Ahmed, MH Bakr, NK Nikolova
2014 IEEE MTT-S International Microwave Symposium (IMS2014), 1-3, 2014
112014
“Shortcuts” causing bias in radiology artificial intelligence: causes, evaluation and mitigation.
I Banerjee, K Bhattacharjee, JL Burns, H Trivedi, S Purkayastha, ...
Journal of the American College of Radiology, 2023
92023
A TLM-based wideband adjoint variable method for sensitivity analysis of non-dispersive anisotropic structures
LS Kalantari, OS Ahmed, MH Bakr, NK Nikolova
IEEE Transactions on Antennas and Propagation 65 (10), 5267-5278, 2017
72017
The subgroup imperative: Chest radiograph classifier generalization gaps in patient, setting, and pathology subgroups
M Ahluwalia, M Abdalla, J Sanayei, L Seyyed-Kalantari, M Hussain, A Ali, ...
Radiology: Artificial Intelligence 5 (5), e220270, 2023
62023
Medical imaging algorithms exacerbate biases in underdiagnosis
L Seyyed-Kalantari, G Liu, M McDermott, I Chen, M Ghassemi
62021
Detection, identification and tracking of flying objects in three dimensions using multistatic radars
SK Laleh, M Shahram, T Saeed
Int'l J. of Communications, Network and System Sciences 2009, 2009
52009
Reply to:‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in …
L Seyyed-Kalantari, H Zhang, MBA McDermott, IY Chen, M Ghassemi
Nature Medicine 28 (6), 1161-1162, 2022
32022
Optical cloak design exploiting efficient anisotropic adjoint sensitivity analysis
LS Kalantari, MH Bakr
The Applied Computational Electromagnetics Society Journal (ACES), 449-454, 2017
32017
Cloaking exploiting anisotropic adjoint sensitivity analysis
LS Kalantari, MH Bakr
2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI …, 2015
32015
Soft-prompt Tuning for Large Language Models to Evaluate Bias
JJ Tian, D Emerson, SZ Miyandoab, D Pandya, L Seyyed-Kalantari, ...
arXiv preprint arXiv:2306.04735, 2023
22023
The Challenge Dataset-simple evaluation for safe, transparent healthcare AI deployment
JK Sanayei, M Abdalla, M Ahluwalia, L Seyyed-Kalantari, S Minotti, ...
medRxiv, 2022.12. 15.22280619, 2022
22022
Sensitivity analysis of ferrites with TLM
L Seyyed-Kalantari, MH Bakr, NK Nikolova
IEEE Microwave and Wireless Components Letters 27 (12), 1044-1046, 2017
22017
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