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)

CheXclusion: Fairness gaps in deep chest X-ray classifiers. - Laleh Seyyed-Kalantari; Guanxiong Liu; Matthew B. A. McDermott; Marzyeh Ghassemi (CoRR, 2020)

An empirical framework for domain generalization in clinical settings. - Haoran Zhang 003; Natalie Dullerud; Laleh Seyyed-Kalantari; Quaid Morris; Shalmali Joshi; Marzyeh Ghassemi (CHIL, 2021)

CheXclusion: Fairness gaps in deep chest X-ray classifiers. - Laleh Seyyed-Kalantari; Guanxiong Liu; Matthew B. A. McDermott; Irene Y. Chen; Marzyeh Ghassemi (PSB, 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; et al. (CoRR, 2021)

Evaluating Knowledge Transfer in the Neural Network for Medical Images. - Sina Akbarian; Laleh Seyyed-Kalantari; Farzad Khalvati; Elham Dolatabadi (IEEE Access, 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)

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)

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)

Towards Trustworthy Artificial Intelligence for Equitable Global Health. - Hong Qin 003; 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; et al. (CoRR, 2023)

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. - Carolina A. M. Heming; Mohamed Abdalla 001; Monish Ahluwalia; Linglin Zhang; Hari Trivedi; Minjae Woo; Benjamin Fine; Judy Wawira Gichoya; Leo Anthony Celi; Laleh Seyyed-Kalantari (CoRR, 2023)

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 (ISBI, 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)

Dialectic Preference Bias in Large Language Models. - Muhammad Furquan Hassan; Faiza Khan Khattak; Laleh Seyyed-Kalantari (AAAI Spring Symposia, 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 (ICHI, 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)

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)

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)