Lawrence Schobs

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 7

Top Topics

Machine Learning

Multiple Sources

Landmark Localization

Top Venues

Publications

Lawrence Schobs, Thomas M. McDonald, Haiping Lu
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. UNSURE@MICCAI (2023)
Prasun C. Tripathi, Mohammod Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. CoRR (2023)
Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. MICCAI (7) (2023)
Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CIKM (2022)
Lawrence Schobs, Andrew J. Swift, Haiping Lu
Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR (2022)
Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CoRR (2021)
Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu
Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI (2021)