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Currently, her group is leading the charge on advancing multimodal and bioinspired AI. The goal is to advance the science of AI by drawing inspiration from computational models of various brain functions such as memory and learning and modeling the fusion of multiple modalities for information processing. The applications of the core technologies developed in the group are in various domains ranging from healthcare decision support, accelerated scientific discovery, to the building of next generation hybrid cloud data management and storage infrastructures. Among the projects in the team is one called Bioinspired Memories that is at the intersection area of AI, Neuroscience and Cloud technologies. It has healthcare applications for the memory-impaired individuals but also key to generating a new technological infrastructure for next generation storage systems modeled after human declarative memory.
Research Interests
Papers共 227 篇Author StatisticsCo-AuthorSimilar Experts
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MEDICAL IMAGE ANALYSIS (2024): 103064-103064
Satyananda Kashyap,Neerav Karani,Alexander Shang, Niharika D'Souza,Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson,Polina Golland,
APPLICATIONS OF MEDICAL ARTIFICIAL INTELLIGENCE, AMAI 2023 (2024): 165-175
Nature Machine Intelligenceno. 3 (2024): 291-306
MACHINE LEARNING FOR MULTIMODAL HEALTHCARE DATA, ML4MHD 2023 (2024): 141-154
AMIA ... Annual Symposium proceedings. AMIA Symposium (2024): 736-743
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Evangelia Katsoulakis,Qi Wang,Huanmei Wu,Leili Shahriyari,Richard Fletcher,Jinwei Liu,Luke Achenie, Hongfang Liu,Pamela Jackson, Ying Xiao,Tanveer Syeda-Mahmood, Richard Tuli,
npj Digital Medicineno. 1 (2024): 1-11
CoRR (2023)
Matthew Grudza,Brandon Salinel,Sarah Zeien, Matthew Murphy,Jake Adkins,Corey T. Jensen, Curtis Bay,Vikram Kodibagkar,Phillip Koo,Tomislav Dragovich,Michael A. Choti,Madappa Kundranda,
WORLD JOURNAL OF RADIOLOGYno. 12 (2023): 359-369
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