Laleh Seyyed-Kalantari

According to our database, Laleh Seyyed-Kalantari authored at least 18 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak.

Zahra Movahedi Nia, Laleh Seyyed-Kalantari, M. Goitom, Bruce Mellado, Ali Ahmadi, Ali Asgary, James Orbinski, Jianhong Wu, Jude Dzevela Kong

Artif. Intell. Medicine, 2025

MLHOps: Machine Learning Health Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloé Pou-Prom, Sedef Akinli Koçak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

IEEE Access, 2025

Underdiagnosis Bias Mitigation With Expert Foundation Model's Representation.

Gebreyowhans H. Bahre, Hassan Hamidi, Andrew B. Sellergren, Alessandro Quarta, Leo Anthony Celi, Francesco Calimeri, Laleh Seyyed-Kalantari

IEEE Access, 2025

Representation Is All We Need: Performance and Fairness of Google X-ray Foundation Model Representations - A Preliminary Study.

Gebreyowhans H. Bahre, Hassan Hamidi, Andrew B. Sellergren, Leo Anthony Celi, Francesco Calimeri, Laleh Seyyed-Kalantari

Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025

Dialectic Preference Bias in Large Language Models.

Muhammad Furquan Hassan, Faiza Khan Khattak, Laleh Seyyed-Kalantari

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

The Impact of Unstated Norms in Bias Analysis of Language Models.

Farnaz Kohankhaki, Jacob-Junqi Tian, David Emerson, Laleh Seyyed-Kalantari, Faiza Khan Khattak

CoRR, 2024

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis.

Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew P. Bradley, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors.

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

CoRR, 2023

Towards Trustworthy Artificial Intelligence for Equitable Global Health.

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

CoRR, 2023

Soft-prompt Tuning for Large Language Models to Evaluate Bias.

Jacob-Junqi Tian, David Emerson, Sevil Zanjani Miyandoab, Deval Pandya, Laleh Seyyed-Kalantari, Faiza Khan Khattak

CoRR, 2023

Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models.

Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi

CoRR, 2023

MLHOps: Machine Learning for Healthcare Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

CoRR, 2023

Evaluating Knowledge Transfer in the Neural Network for Medical Images.

Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi

IEEE Access, 2023

2021

Reading Race: AI Recognises Patient's Racial Identity In Medical Images.

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

CoRR, 2021

CheXclusion: Fairness gaps in deep chest X-ray classifiers.

Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Irene Y. Chen, Marzyeh Ghassemi

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

An empirical framework for domain generalization in clinical settings.

Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

CheXclusion: Fairness gaps in deep chest X-ray classifiers.

Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Marzyeh Ghassemi

CoRR, 2020

2009

Detection, Identification and Tracking of Flying Objects in Three Dimensions Using Multistatic Radars.

Laleh Seyyed-Kalantari, Shahram Mohanna, Saeed Tavakoli

Int. J. Commun. Netw. Syst. Sci., 2009