Lee Jollans
Postdoc
My research is focused om using Machine Learning and Deep Learning for medical image analysis.
Short texts
CV
2023 Postdoc, LiU2018 – 2022 Postdoc, Max-Planck Institue for Psychiatry, Munich
2016 – 2018 PhD, Faculty for Psychology, Trinity College Dublin
Network
- Circulation and Metabolic Cardiovascular Risk Factors Area of Strength (CircM)
- Center for Medical Imaging and Visualization
Publications
2025
Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph
2025 IEEE Workshop on Topological Data Analysis and Visualization (TopoInVis), p. 53-62
(Conference paper)
https://dx.doi.org/10.1109/TopoInVis68599.2025.00010
2024
Accurate fully automated assessment of left ventricle, left atrium, and left atrial appendage function from computed tomography using deep learning
European Heart Journal - Imaging Methods and Practice, Vol. 2, Article qyaf011
(Article in journal)
https://dx.doi.org/10.1093/ehjimp/qyaf011
Research
- WASP-DDLS: HUDI : Huge Complex Diagnostic Imaging Data
- AIDA: Accurate, fast, and automatic assessment of whole-heart anatomy from 3D CT for early disease detection and diagnosis
