Publications
2025
- V. Subasri, N. Baghbanzadeh, L. Celi, L. S. Kalantari, The potential for near-term AI risks to evolve into existential threats in healthcare, BMJ Health & Care Informatics, Apr. 2025.
- M. F. Hassan, F. H. Khan, L. S. Kalantari, Dialectic Preference Bias in Language Models, AAAI 2025 Spring Symposium on Machine Learning and Knowledge Engineering for Trustworthy Multimodal and Generative AI (AAAI-MAKE 2025), San Francisco, California, USA, April, 2025.
- A. M. Zadeh Khaki, A. Choi, L. S. Kalantari, Simulating social behavior of LLM-based autonomous negotiator agents in a game-theoretical framework using multi-agent system, International Journal of Human Computer Interaction, accepted Apr. 2025. (IF 3.4)
- G. Bahre, H. Hamidihesarsorkh, A. Sellergren, L. A. Celi, F. Calimeri, L. S. Kalantari, Representation is all we need: performance and fairness of Google X-ray foundation model representations – a preliminary study, accepted in 13th IEEE International Conference in Healthcare Informatics (IEEE ICHI), Rende, Italy, March. 2025.
- M. Woo*, L. Zhang*, B. Brown-Mulry, BS, I. Hwang, J. W. Gichoya, A. Gastounioti, I. Banerjee, L. S. Kalantari, H. Trivedi, Subgroup Evaluation to Understand Performance Gaps in Deep Learning-Based Classification of Regions of Interest on Mammography, accepted in PLOS Digital Health, Feb. 2025. (*Co-first authors)
- B. Ogbuokiri, A. Ahmadi, N. Tripathi, L. S. Kalantari, W. A. Woldegerima, B. Mellado, J. Wu, J. Orbinski, A. Asgary, and J. Kong, Emotional Reactions Towards Vaccination During the Emergence of the Omicron Variant: Insights from Twitter Analysis in South Africa, Machine Learning with applications, Feb. 2025.
- Z. Movahedi Nia, L. S. Kalantari, M. Goitom, B. Mellado, A. Ahmadi, A. Asgari, J. Orbimski, J Wu, J. D. Kong, Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak, Artificial Intelligence in Medicine, Feb. 2025. (IF: 6.1).
- S. Konate, L. Lebrat, R. Santa Cruz, J. Wawira Gichoya, B. Price, L. S. Kalantari*, C. Fookes, A. Bradley, O. Salvado, Interpretability of AI race detection model in medical imaging with saliency methods, Computational and Structural Biotechnology Journal (CSBJ), Jan. 2025. (*Corresponding author) (IF 4.5).
2024
- S. L. Walker, F. Angriman, L. Burry, L. A. Celi, K. M Fiest, J. Gichoya, A. Johnson, K. Liu, S. Mehta, G. Roman-Sarita, L. Seyyed-Kalantari, T. T Vu, E. L Whitlock, G. Tomlinson, C. J. Yarnell, Association Between Sex and Race and Ethnicity and IV Sedation Use in Patients Receiving Invasive Ventilation, Chest Critical Care, Vol. 2, Issue 2, Dec. 2024. (IF 9.5).
- F. M. Abdelmalek, F. Angriman, J. Moore, K. Liu, L. Burry, L. S. Kalantari, S. Mehta, J. Gichoya, L. A. Celi, G. Tomlinson, M. Fralick, and C. J. Yarnell, Association between Patient Race and Ethnicity and Use of Invasive Ventilation in the United States, Annals of the American Thoracic Society, Volume 21, Issue 2, Feb. 2024. (IF 8.3).
- F. Khattak, V. Subasri, A. Krishnan, E. Dolatabadi, D. Krishnan, L. S. Kalantari, F. Rudzicz, MLHOps: Machine Learning Health Operations, IEEE Access, Dec. 2024. (IF 3.4).
- V. Nalla, S. Pouriyeh, R. M Parizi, H. Trivedi, Q. Z Sheng, I. Hwang, L. S. Kalantari, M. Woo, Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective, Current Problems in Diagnostic Radiology, Vol. 53, Issue 3, 346-352. 2024. (IF: 1.50).
- G. Bahre, H. Hamidihesarsorkh, A. Sellergren, L. A. Celi, F. Calimeri, L. S. Kalantari, Fairness of AI Models in vector embedded Chest X-ray representations, Advancement in Medical Foundation Models (AI-FM) Workshop at NeurIPS, Vancouver, Canada, Dec. 2024.
- A. Parkhimchyk, A. Naziri, L. S. Kalantari, Exploring Visual Prompt Tuning for Demographic Adaptation in Foundation Models for Medical Imaging, Adaptive Foundation Models (AFM) Workshop at NeurIPS, Vancouver, Canada, Dec. 2024.
- G. Bahre, H. Hamidihesarsorkh, A. Sellergren, L. A. Celi, F. Calamari, L. S. Kalantari, Fairness of AI Models in vector embedded Chest X-ray representations, AIxIA workshop on Artificial Intelligence for Healthcare, Bolzano, Italy, Nov. 2024.
- F. Kohankhaki, J. J. Tian, D. Emerson, L. S. Kalantari, F. Khattak, Reevaluating Bias Detection in Language Models: The Role of Implicit Norms, TrustNLP workshop at NAACL, Mexico City, Mexico, June 2024.
- O. Salvado, S. Konate, R. S. Cruz, A. Bradley, J. W. Gichoya, L. S. Kalantari, B. Price, C. Fookes, L. Lebrat, Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis, the International Symposium on Biomedical Imaging (ISBI) 2024, May 27-30, Athens, Greece, May 2024.
- E. Abbasi Bavil, M. Ahluwalia, MD, L. S. Kalantari, B. Fine, M. Abdalla, Body Mass Index Prediction from Chest Radiographs and Associated Performance Gaps in Chest Radiograph Abnormality Prediction, CAR 2024 Annual Scientific Meeting (ASM), 11-14, 2024, Montréal, Canada, Apr. 2024.
- F. Khan Khattak, L. Cheng, S. Akinli-Kocak, M. Du, F. He, B. Li, B. Ogbuokiri, S. Raza, L. S. Kalantari, Y. Wang, X. Zhu, G. Taylor, Responsible Language Models, the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 20-27, Vancouver, Canada, Feb. 2024.
2023
- J. J. Tian, D. Emerson, D. Pandya, L. S. Kalantari, F. Khattak, Efficient Evaluation of Bias in Large Language Models through Prompt Tuning, Socially Responsible Language Modelling Research workshop at NeurIPS, New Orleans, Louisiana, USA, Dec. 2023.
- I. Banerjee, K. Bhattacharjee, J. L. Burns, H. Trivedi, S. Purkayastha, L. S. Kalantari, B. N. Patel, R. Shiradkar, J. Gichoya, “Shortcuts” causing bias in radiology artificial intelligence: causes, evaluation, and mitigation, Journal of the American College of Radiology, Volume 20, Issue 9, Sep. 2023. (IF 5.1).
- L. Zhang, B. Brown-Mulry, V. Nalla, I. Hwang, J. W. Gichoya, A. Gastounioti, I. Banerjee, L. S. Kalantari, M. Woo, H. Trivedi, Multivariate Analysis on Performance Gaps of Artificial Intelligence Models in Screening Mammography, CoRR, 2023.
- Z. Movahedi Nia, N. L. Bragazzi, A. Ahmadi, A. Asgari, B. Mellado, J. Orbimski, L. Seyyed-Kalantari, W. A. Woldegerima, J Wu, J. D. Kong, 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, Journal of the Royal Society Interface, Sep. 2023. (IF 4.8).
- J. W. Gichoya, K. Thomas, L. A. Celi, N. Safdar, I. Banerjee, J. D Banja, L. S. Kalantari, H. Trivedi, S. Purkayastha, AI Pitfalls and what not to do: mitigating bias in AI, British Journal of Radiology, Sep. 2023. (IF 3.629).
- M. Ahluwalia, M. Abdalla, J. Sanayei, L. S. Kalantari, M. Hussain, A. Ali, and B. Fine, The subgroup imperative: chest radiograph classifier generalization gaps in patient, setting, and pathology subgroups, Radiology: Artificial Intelligence, Vol. 5, No. 5, Jul. 2023. (IF: 22.5).
2022
- J. W Gichoya, I. Banerjee, A. R. Bhimireddy, J. L Burns, L. A. Celi, L. Chen, R. Correa, N. Dullerud, M. Ghassemi, S. Huang, P. Kuo, M. Lungren, L. Palmer, B. Price, S. Purkayastha, A. Pyrros, L. Oakden-Rayner, C. Okechukwu, L. S. Kalantari, H. Trivedi, R. Wang, Z. Zaiman, H. Zhang, AI recognition of patient race in medical imaging: a modelling study, ...
- L. S. Kalantari, H. Zhang, M. McDermott, I. Y. Chen, and M. Ghassemi, Reply to: ‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’, Nature Medicine, Vol. 28, 1161–1162, 2022,.16 June 2022. (IF: 87.24).
International collaborations