| 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 | 378 | 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 | 278 | 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 | 266 | 2020 |
| 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 | 76 | 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 | 59 | 2021 |
| 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 | 41 | 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 | 28 | 2016 |
| “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 | 18 | 2023 |
| Evaluating knowledge transfer in the neural network for medical images S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi IEEE Access, 2023 | 18 | 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 |
| 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 | 9 | 2023 |
| 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 |
| 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 SK Laleh, M Shahram, T Saeed Int'l J. of Communications, Network and System Sciences 2009, 2009 | 5 | 2009 |
| 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 | 4 | 2023 |
| 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 | 3 | 2024 |
| 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 |
| 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 | 3 | 2022 |
| Optical cloak design exploiting efficient anisotropic adjoint sensitivity analysis LS Kalantari, MH Bakr Applied Computational Electromagnetics Society Journal 32 (5), 449, 2017 | 3 | 2017 |
| Cloaking exploiting anisotropic adjoint sensitivity analysis LS Kalantari, MH Bakr 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI …, 2015 | 3 | 2015 |
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MIT在 mit.edu 的电子邮件经过验证
