Confidence-Quantifying Landmark Localisation For Cardiac MRI. - Lawrence Schobs; Shuo Zhou; Marcella Cogliano; Andrew J. Swift; Haiping Lu (ISBI, 2021)

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. - Haiping Lu; Xianyuan Liu; Robert Turner; Peizhen Bai; Raivo E. Koot; Shuo Zhou; Mustafa Chasmai; Lawrence Schobs (CoRR, 2021)

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. - Haiping Lu; Xianyuan Liu; Shuo Zhou; Robert Turner; Peizhen Bai; Raivo E. Koot; Mustafa Chasmai; Lawrence Schobs; Hao Xu (CIKM, 2022)

Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. - Lawrence Schobs; Thomas M. McDonald 001; Haiping Lu (UNSURE@MICCAI, 2023)

Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. - Prasun C. Tripathi; Md. Naimul Islam Suvon; Lawrence Schobs; Shuo Zhou; Samer Alabed; Andrew J. Swift; Haiping Lu (MICCAI (7), 2023)

Uncertainty Estimation for Heatmap-Based Landmark Localization. - Lawrence Andrew Schobs; Andrew J. Swift; Haiping Lu (IEEE Trans. Medical Imaging, 2023)

Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. - Prasun C. Tripathi; Sina Tabakhi; Mohammod Naimul Islam Suvon; Lawrence Andrew Schobs; Samer Alabed; Andrew J. Swift; Shuo Zhou; Haiping Lu (CoRR, 2024)