activity
20232026
most citedSegment Anything Model for Medical Images?

502 citations · 515 across the 5 of their papers we have counts for

collaborators

6 papers

math.NA2026

Parametric charge-conservative mixed finite element method for 3D incompressible inductionless MHD equations on curved domains

Xue Jiang, Lei Li, Lingxiao Li

This paper develops a charge-conservative mixed finite element method with optimal convergence rates for the stationary incompressible inductionless MHD equations on three-dimensio…

cs.CE2025

An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials

Ruben Doste, Julia Camps, Zhinuo Jenny Wang +8

In recent years, human in silico trials have gained significant traction as a powerful approach to evaluate the effects of drugs, clinical interventions, and medical devices. In si…

eess.IV2024

Personalized Topology-Informed Localization of Standard 12-Lead ECG Electrode Placement from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins

Lei Li, Hannah Smith, Yilin Lyu +5

Cardiac digital twins (CDTs) offer personalized in-silico cardiac representations for the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs requi…

cs.CV2024

Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey

Lei Li, Julia Camps, Blanca Rodriguez +1

Cardiac digital twins (CDTs) are personalized virtual representations used to understand complex cardiac mechanisms. A critical component of CDT development is solving the ECG inve…

q-bio.QM2024★ 13 cited

Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction

Chen Chen, Lei Li, Marcel Beetz +3

Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate. Early detection and prevention of HF could significantly reduce its impact. We…

eess.IV2023★ 502 cited

Segment Anything Model for Medical Images?

Yuhao Huang, Xin Yang, Lian Liu +16

The Segment Anything Model (SAM) is the first foundation model for general image segmentation. It has achieved impressive results on various natural image segmentation tasks. Howev…