Laleh Seyyed-Kalantari

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Judy Wawira GichoyaEmory UniversityAdresă de e-mail confirmată pe emory.edu
Leo Anthony CeliMassachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITAdresă de e-mail confirmată pe mit.edu
Imon BanerjeeMayo Clinic, AZAdresă de e-mail confirmată pe mayo.edu
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical InformaticsAdresă de e-mail confirmată pe hms.harvard.edu
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoAdresă de e-mail confirmată pe berkeley.edu
Lauren Oakden-RaynerAustralian Institute for Machine Learning. University of Adelaide. Royal Adelaide Hospital.Adresă de e-mail confirmată pe adelaide.edu.au
Po-Chih KuoNational Tsing Hua UniversityAdresă de e-mail confirmată pe cs.nthu.edu.tw
Mohamed BakrProfessor of Electrical EngineeringAdresă de e-mail confirmată pe mail.ece.mcmaster.ca
Guanxiong LiuUniversity of TorontoAdresă de e-mail confirmată pe cs.toronto.edu
Elham DolatabadiYork University; Vector Institute; University of TorontoAdresă de e-mail confirmată pe yorku.ca
Shalmali JoshiColumbia UniversityAdresă de e-mail confirmată pe cumc.columbia.edu
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer CenterAdresă de e-mail confirmată pe mskcc.org
Shahram MohannaResearch Associate, York University, Toronto, CanadaAdresă de e-mail confirmată pe yorku.ca
Saeed Tavakoli (Orcid: 0000-0002-32...Professor of Electrical Engineering (Control); Associate Editor for 1. ASoC & 2. IJDY JournalsAdresă de e-mail confirmată pe ece.usb.ac.ir
Sina AkbarianResearcher at Vector Institute, Data Scientist at Public Health OntarioAdresă de e-mail confirmată pe mail.utoronto.ca
Farzad KhalvatiAI Chair in Medical Imaging, The Hospital for Sick Children, University of TorontoAdresă de e-mail confirmată pe utoronto.ca

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Laleh Seyyed-Kalantari

Assistant Professor, York University, Vector Institute

Adresă de e-mail confirmată pe yorku.ca - Pagina de pornire

Responsible AI Generative AI Foundation Models AI in medical imaging AI fairness


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	569	2021
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	428	2022
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	330	2020
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	118	2023
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	81	2021
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	73	2021
“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 20 (9), 842-851, 2023	57	2023
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	27	2016
Evaluating knowledge transfer in the neural network for medical images S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi IEEE Access 11, 85812-85821, 2023	22	2023
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	16	2023
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	12	2014
Association between patient race and ethnicity and use of invasive ventilation in the United States FM Abdelmalek, F Angriman, J Moore, K Liu, L Burry, L Seyyed-Kalantari, ... Annals of the American Thoracic Society 21 (2), 287-295, 2024	11*	2024
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	7	2017
Efficient Evaluation of Bias in Large Language Models through Prompt Tuning T J, D Emerson, D Pandya, L Seyyed-Kalantari, F Khattak NeurIPS Workshop on Socially Responsible Language Modelling Research, 2023	6*	2023
Medical imaging algorithms exacerbate biases in underdiagnosis L Seyyed-Kalantari, G Liu, M McDermott, I Chen, M Ghassemi	6	2021
Detection, identification and tracking of flying objects in three dimensions using multistatic radars LS Kalantari, S Mohanna, S Tavakoli International Journal of Communications, Network and System Sciences 2 (6 …, 2009	6	2009
MLHOps: Machine Learning Health Operations FK Khattak, V Subasri, A Krishnan, C Pou-Prom, S Akinli-Kocak, ... IEEE Access, 2024	4*	2024
Off-label drug use during the COVID-19 pandemic in Africa: topic modelling and sentiment analysis of ivermectin in South Africa and Nigeria as a case study Z Movahedi Nia, NL Bragazzi, A Ahamadi, A Asgary, B Mellado, ... Journal of the Royal Society Interface 20 (206), 20230200, 2023	4	2023
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors CAM Heming, M Abdalla, S Mohanna, M Ahluwalia, L Zhang, H Trivedi, ... arXiv preprint arXiv:2311.12560, 2023	3	2023
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	3	2022

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