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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:  
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
12:00 to 12:05 Unravelling Radiomics in Ovarian Cancer through Image-Directed Interventions: from Ultrasound-Guided Biopsies to 3D-Moulds Maria Delgado-Ortet (University of Cambridge)
12:05 to 12:10 Deep Learning for Image Reconstruction in CT Subhadip Mukherjee (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 Motion Correction for Cardiac MRI Images using Generative Neural Networks with Disentangled Latent Space Variables Malena Sabaté Landman (Cambridge Mathematics of Information in Healthcare)
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 Investigating Bias in Full Blood Count Data Daniel Kreuter (University of Cambridge)
12:35 to 12:40 On Image Quality Assessment for Deep Learning in Medical Imaging Anna Breger (University of Cambridge)
12:40 to 13:00 Questions and Answers
Session 3:   
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 TBC
15:20 to 15:45 Tea and coffee break
15:45 to 16:25 Machine Learning Models Rachael Warrington (The Smith Institute)
16:25 to 16:45 Next Steps