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2020 – today
- 2024
[i4]Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed
, Andrew J. Swift, Shuo Zhou, Haiping Lu:
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. CoRR abs/2404.04718 (2024)- 2023
- [j1]Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu:
Uncertainty Estimation for Heatmap-Based Landmark Localization. IEEE Trans. Medical Imaging 42(4): 1021-1034 (2023) - [c4]Lawrence Schobs, Thomas M. McDonald, Haiping Lu:
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. UNSURE@MICCAI 2023: 22-31 - [c3]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: 206-215 - [i3]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 abs/2303.07540 (2023) - 2022
- [c2]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: 4274-4278 - [i2]Lawrence Schobs, Andrew J. Swift, Haiping Lu:
Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR abs/2203.02351 (2022) - 2021
- [c1]Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu:
Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI 2021: 985-988 - [i1]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 abs/2106.09756 (2021)
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