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ORCIDLaleh Seyyed-Kalantari
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2020 – today
- 2024
[c3]Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew P. Bradley
, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat:
Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. ISBI 2024: 1-4- [i10]Farnaz Kohankhaki, Jacob-Junqi Tian, David Emerson, Laleh Seyyed-Kalantari, Faiza Khan Khattak:
The Impact of Unstated Norms in Bias Analysis of Language Models. CoRR abs/2404.03471 (2024) - 2023
- [j2]Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi:
Evaluating Knowledge Transfer in the Neural Network for Medical Images. IEEE Access 11: 85812-85821 (2023) - [i9]Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz:
MLHOps: Machine Learning for Healthcare Operations. CoRR abs/2305.02474 (2023) - [i8]Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi:
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR abs/2305.04422 (2023) - [i7]Jacob-Junqi Tian, David Emerson, Sevil Zanjani Miyandoab, Deval Pandya, Laleh Seyyed-Kalantari, Faiza Khan Khattak:
Soft-prompt Tuning for Large Language Models to Evaluate Bias. CoRR abs/2306.04735 (2023) - [i6]Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia, Christo El-Morr, Zeynep Engin, Jake Okechukwu Effoduh, Rebecca Hwa, Serena Jingchuan Guo, Laleh Seyyed-Kalantari, Sylvia Kiwuwa Muyingo, Candace Makeda Moore, Ravi Parikh, Reva Schwartz, Dongxiao Zhu, Xiaoqian Wang, Yiye Zhang:
Towards Trustworthy Artificial Intelligence for Equitable Global Health. CoRR abs/2309.05088 (2023) - [i5]Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, Minjae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari:
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. CoRR abs/2311.12560 (2023) - 2021
- [c2]Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi:
An empirical framework for domain generalization in clinical settings. CHIL 2021: 279-290 - [c1]Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Irene Y. Chen, Marzyeh Ghassemi:
CheXclusion: Fairness gaps in deep chest X-ray classifiers. PSB 2021 - [i4]Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi:
An Empirical Framework for Domain Generalization in Clinical Settings. CoRR abs/2103.11163 (2021) - [i3]Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya:
Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR abs/2107.10356 (2021) - 2020
- [i2]Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Marzyeh Ghassemi:
CheXclusion: Fairness gaps in deep chest X-ray classifiers. CoRR abs/2003.00827 (2020) - [i1]Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi:
Evaluating Knowledge Transfer In Neural Network for Medical Images. CoRR abs/2008.13574 (2020)
2000 – 2009
- 2009
- [j1]Laleh Seyyed-Kalantari, Shahram Mohanna, Saeed Tavakoli:
Detection, Identification and Tracking of Flying Objects in Three Dimensions Using Multistatic Radars. Int. J. Commun. Netw. Syst. Sci. 2(6): 486-490 (2009)
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