Lawrence Schobs

According to our database, Lawrence Schobs authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

Uncertainty Estimation for Heatmap-Based Landmark Localization.

Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu

IEEE Trans. Medical Imaging, April, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes.

Lawrence Schobs, Thomas M. McDonald, Haiping Lu

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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

Confidence-Quantifying Landmark Localisation For Cardiac MRI.

Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021