Medical Imaging

PyKale: an ML Library in PyTorch Ecosystem

Make machine learning more accessible to interdisciplinary research by bridging gaps between data, software, and end users

Haiping Lu, Xianyuan Liu, Robert Turner, Shuo Zhou, Peizhen Bai, Raivo Koot, Lawrence Schobs

PyKale: an ML Library in PyTorch Ecosystem

Uncertainty Est. for Landmark Localisation

Quantify the uncertainty in automatic anatomical landmark localisation

Lawrence Schobs, Andrew Swift, Haiping Lu

Uncertainty Est. for Landmark Localisation

Human-In-The-Loop DL for Cardiac CT/MRI

Interactively trained ‘human-in-the-loop’ deep learning to improve cardiac CT/MRI assessment for accurate therapy response and mortality prediction

Andrew Swift, Haiping Lu

Human-In-The-Loop DL for Cardiac CT/MRI

Multisite Brain fMRI Classification

Multi-site autism classification based on site-dependence minimisation and second-order functional connectivity

Shuo Zhou, Gaolang Gong, Haiping Lu

Multisite Brain fMRI Classification

Interpretable ML for Cardiac MRI

Interpretable machine learning to improve prognostic and treatment response assessment on cardiac MRI

Samer Alabed, Shuo Zhou, Johanna Uthoff, Andrew Swift, Haiping Lu

Interpretable ML for Cardiac MRI