18 citations · 55 across the 5 of their papers we have counts for
5 papers
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Yinda Chen, Che Liu, Wei Huang +3
Vision-Language Pretraining (VLP) has demonstrated remarkable capabilities in learning visual representations from textual descriptions of images without annotations. Yet, effectiv…
Analyzing drop coalescence in microfluidic device with a deep learning generative model
Kewei Zhu, Sibo Cheng, Nina Kovalchuk +4
Predicting drop coalescence based on process parameters is crucial for experiment design in chemical engineering. However, predictive models can suffer from the lack of training da…
Frozen Language Model Helps ECG Zero-Shot Learning
Jun Li, Che Liu, Sibo Cheng +2
The electrocardiogram (ECG) is one of the most commonly used non-invasive, convenient medical monitoring tools that assist in the clinical diagnosis of heart diseases. Recently, de…
Optimization of microfluidic synthesis of silver nanoparticles: a generic approach using machine learning
Konstantia Nathanael, Sibo Cheng, Nina M. Kovalchuk +2
The properties of silver nanoparticles (AgNPs) are affected by various parameters, making optimisation of their synthesis a laborious task. This optimisation is facilitated in this…
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng, Cesar Quilodran-Casas, Said Ouala +14
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical a…