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20212024
most citedBiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

107 citations · 123 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 107 cited

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Theodore Zhao, Yu Gu, Jianwei Yang +12

Biomedical image analysis is fundamental for biomedical discovery in cell biology, pathology, radiology, and many other biomedical domains. Holistic image analysis comprises interd…

cs.CV2024★ 14 cited

Foundation Models for Biomedical Image Segmentation: A Survey

Ho Hin Lee, Yu Gu, Theodore Zhao +9

Recent advancements in biomedical image analysis have been significantly driven by the Segment Anything Model (SAM). This transformative technology, originally developed for genera…

cs.CL2023★ 1 cited

Pareto Optimal Learning for Estimating Large Language Model Errors

Theodore Zhao, Mu Wei, J. Samuel Preston +1

Large Language Models (LLMs) have shown impressive abilities in many applications. When a concrete and precise answer is desired, it is important to have a quantitative estimation…

q-fin.CP2021★ 1 cited

Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning

Tim Leung, Theodore Zhao

We present the method of complementary ensemble empirical mode decomposition (CEEMD) and Hilbert-Huang transform (HHT) for analyzing nonstationary financial time series. This noise…

q-fin.ST2021

Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices

Tim Leung, Theodore Zhao

We study the price dynamics of cryptocurrencies using adaptive complementary ensemble empirical mode decomposition (ACE-EMD) and Hilbert spectral analysis. This is a multiscale noi…