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26th July 2022
09:30 to 10:00 Registration, Tea and Coffee
10:00 to 10:15 Welcome and Introduction John Aston (University of Cambridge), (Cambridge Mathematics of Information in Healthcare)
Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare)
Session 1:   (Chair: Carola-Bibiane Schönlieb (Cambridge Mathematics of Information in Healthcare))
10:15 to 10:45 CHIMERA: Collaborative Healthcare Innovation through Mathematics, Engineering and AI. Nick Ovenden (University College London)
10:45 to 11:15 EPSRC Hub in Quantitative Modelling in Healthcare: Research and Partnerships Activity Krasimira Tsaneva-Atanasova (EPSRC Hub for Quantitative Modelling in Healthcare, University of Exeter)
11:15 to 11:45 Emulation and Uncertainty Quantification in Cardiac Modelling Hao Gao (SofTMech - University of Glasgow)
11:45 to 12:00 Tea and Coffee Break
Session 2: Elevator Pitches (Chair: John Aston (Cambridge Mathematics of Information in Healthcare))
12:00 to 12:05 Unravelling Heterogeneity in Ovarian Cancer through Image-Directed Interventions Maria Delgado-Ortet (University of Cambridge)
12:05 to 12:10 Investigating Bias in Full Blood Count Data Daniel Kreuter (University of Cambridge)
12:10 to 12:15 Can we Predict the Severity of COVID-19 Using Full Blood Counts? Samuel Tull (University of Cambridge)
12:15 to 12:20 Multi-Modal Hypergraph Diffusion Networks for Alzheimer Classification Angelica I. Aviles-Rivero (University of Cambridge), (University of Cambridge), (Cambridge Mathematics of Information in Healthcare)
12:20 to 12:25 Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI Malena Sabaté Landman (Emory University)
12:25 to 12:30 Spectral Decomposition of Protein Structures in Heterogeneous Cryo-EM Carlos Esteve Yague (University of Cambridge)
12:30 to 12:35 Deep Learning for Image Reconstruction in CT Subhadip Mukherjee (University of Bath)
12:35 to 12:40 On Image Quality Assessment for Deep Learning in Medical Imaging Anna Breger (University of Cambridge), (Medical University of Vienna)
12:40 to 12:45 Federated Deep Learning in Clinical Applications Josh Kaggie (University of Cambridge)
12:45 to 12:50 Automated Quality Control of Chest X-rays Ian Selby (University of Cambridge)
12:50 to 12:55 Survival analysis-based uncertainty estimation for regression problems Sören Dittmer (University of Cambridge), (University of Bremen)
12:55 to 13:55 Questions and Answers
Session 3:    (Chair: Houyuan Jiang (Cambridge Judge Business School)
13:00 to 14:00 Lunch
14:00 to 14:40 A Landmarking Approach for the Dynamic Scheduling of Cardiovascular Risk Assessments Jessica Barrett (MRC Biostatistics Unit)
14:40 to 15:20 Addressing the Carbon Footprint of Computational Science Loïc Lannelongue (University of Cambridge)
15:20 to 15:45 Tea and coffee break
Session 4:     (Chair: Marina Romanchikova (National Physical Laboratory))
15:45 to 16:15 Explainability in Machine Learning Rachael Warrington (The Smith Institute)
16:15 to 16:45 Integrating Genomics and Multi-omics at Population Scale for Disease Insights Adam Butterworth (University of Cambridge)
16:45 to 17:00 Next Steps
17:00 to 18:00 Drinks Reception