{"id":16,"date":"2021-07-21T15:39:39","date_gmt":"2021-07-21T22:39:39","guid":{"rendered":"https:\/\/labs.engineering.asu.edu\/banerjeelab\/?page_id=16"},"modified":"2026-05-19T16:35:45","modified_gmt":"2026-05-19T23:35:45","slug":"welcome-to-the-banerjee-lab","status":"publish","type":"page","link":"https:\/\/labs.engineering.asu.edu\/banerjeelab\/","title":{"rendered":"Welcome to the BanerjeeLab"},"content":{"rendered":"\n

The lab is affiliated with Mayo Clinic, Arizona and Arizona State University. Our members are computer scientists and clinical professionals with passion for AI.<\/h3>\n\n\n\n

At BanerjeeLab<\/strong>, we are pioneering the fusion of unstructured medical data<\/strong>\u2014including radiology and pathology images, 3D anatomical models, and clinical notes\u2014to develop advanced AI models that support clinical diagnosis, treatment planning, and precision medicine<\/strong>.<\/p>\n\n\n\n

\ud83c\udfaf Our Focus<\/strong><\/p>\n\n\n\n

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We are particularly interested in the longitudinal inference<\/strong> of patient data\u2014understanding disease progression over time\u2014and building pathways to deploy AI tools at the point-of-care<\/strong>. Our goal is to empower clinicians with real-time, data-driven insights for prevention, screening, and treatment<\/strong> of cancer and cardiovascular diseases.<\/p>\n\n\n\n

\ud83d\udd2c Core Research Areas<\/p>\n\n\n\n

AI Fairness in Healthcare<\/strong><\/p>\n\n\n\n

Multimodal Data Fusion<\/strong><\/p>\n\n\n\n

Clinical translation of AI models<\/strong><\/p>\n\n\n\n

Anomaly Detection<\/strong><\/p>\n\n\n\n

Large Language Models (LLMs)<\/strong><\/p>\n\n\n\n

Vision-Language Models (VLMs)<\/strong><\/p>\n\n\n\n

MedAI <\/a>Journal club every week – joint with Stanford University, Emory University and NIH.<\/p>\n\n\n\n

Collaborations: <\/strong>We have several multi-institutional research projects in collaboration with multiple academic centers and industries in US (including Stanford, Emory, MIT, Duke, SUNY Buffalo, Moffitt Cancer Center, UCSF, Philips healthcare, Carl Zeiss, Genetech, Arterys Inc) and Europe (CNR, Universit\u00e9 Paris Descartes, HES-SO Valais) related to NLP and prediction. The application area of the developed methodologies spans from breast cancer, liver cancer, prostate cancer up to cardiovascular diseases, sepsis.<\/p>\n\n\n\n

Competencies:<\/strong> Natural Language Processing, Computer Vision, Medical image analysis, deep learning, machine learning, Predictive modeling.<\/p>\n\n\n\n

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Open graduate student support and postdoc position in both Computer vision and NLP: please send CV and a letter of research interest to imon.banerjee[at]asu.edu<\/strong><\/em><\/p>\n\n\n\n

News<\/strong><\/p>\n\n\n\n

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So excited received the NoA for our U01 award from @NCIDataSci. We will build and release a flexible NLP toolset for curate the clinical and patient-centered outcomes of breast cancer patients. Joint project @MayoRadiologyAZ<\/a> @rubinqilab<\/a> @hiti_lab<\/a> @EmoryUniversity<\/a><\/p>— Imon Banerjee (@ImonBanerjee6) August 3, 2022<\/a><\/blockquote>