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Isaac Newton Institute Seminar Series
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The Isaac Newton Institute for Mathematical Sciences is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. You can receive regular information by email on Institute seminars and events by subscribing to our mailing lists: follow the instructions at http://www.newton.cam.ac.uk/mailing.html. There are lists for each individual Institute programme. If you have a question about this list, please contact: Jonathan H N Chin; Chie Sibley Obata; Kathryn de Ridder; Clare Merritt; info@newton.ac.uk; Vincenzo Abete; ss917; ad864. If you have a question about a specific talk, click on that talk to find its organiser. 37 upcoming talks and 7627 talks in the archive: show first 500. Welcome, Introduction & Update from the Centre for Mathematical Imaging in HealthcareTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
IntroductionTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Statistical Framework for Modelling Inter-object Relationships in Multi Object Image AnalysisTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Challenges for Machine Learning in Clinical Decision Support : Focus on StrokeTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Intraoperative Molecular Imaging in Cancer SurgeryTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
New Technology Can Transform Low-cost MicroscopyTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Digital Innovation for Imaging AgentsTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Collaborations on Imaging – The Medimmune’s Innovative WayTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
MedIAN (Medical Image Analysis Network) - Collaborating Across DisciplinesTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
IntroductionTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Routes to Market Introduction for a Promising Imaging BiomarkerTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
From Analysis Method to Quantitative Imaging BiomarkersTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Functional Respiratory Imaging: The Story of a Growing ChildTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
QuestionsTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
IntroductionTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Using Machine Learning to Accelerate Treatment Workflows in Radiation OncologyTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Patient-specific Biomechanical Modelling in the Development of Cardiovascular DiseaseTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
The Complexity of Motion in Medical Imaging: From Theory to PracticeTGMW48 - Developments in Healthcare Imaging - Connecting with Industry
Graph Methods for Manifold-valued DataVMV - Variational methods and effective algorithms for imaging and vision
Title and abstract tbaGFS - Growth form and self-organisation
Spectral Computed TomographyVMVW02 - Generative models, parameter learning and sparsity
tbaVMVW02 - Generative models, parameter learning and sparsity
tbaVMVW02 - Generative models, parameter learning and sparsity
PDE-based Algorithms for Convolution Neural NetworkVMVW02 - Generative models, parameter learning and sparsity
Optimal Approximation with Sparsely Connected Deep Neural NetworksVMVW02 - Generative models, parameter learning and sparsity
Enhancing fMRI Reconstruction by Means of the ICBTV-Regularisation Combined with Suitable Subsampling Strategies and Temporal SmoothingVMVW02 - Generative models, parameter learning and sparsity
tbaVMVW02 - Generative models, parameter learning and sparsity
tbaVMVW02 - Generative models, parameter learning and sparsity
RED: Regularization by DenoisingVMVW02 - Generative models, parameter learning and sparsity
tbaVMVW02 - Generative models, parameter learning and sparsity
Accelerated Free-Form Model Discovery of Interpretable Models using Small DataVMVW02 - Generative models, parameter learning and sparsity
tbaVMVW02 - Generative models, parameter learning and sparsity
The tensor graphical lasso (Teralasso)VMVW02 - Generative models, parameter learning and sparsity
Breaking the Curse of Dimensionality with Convex Neural NetworksVMVW02 - Generative models, parameter learning and sparsity
Learned forward operators: Variational regularization for black-box modelsVMVW02 - Generative models, parameter learning and sparsity
Advancements in Optimal Design and Hybrid Iterative Methods for Inverse ProblemsVMVW02 - Generative models, parameter learning and sparsity
tbaVMVW02 - Generative models, parameter learning and sparsity
Please see above for contact details for this list. |
Other listsNatural Language Processing Reading Group C.U. Ethics in Mathematics Society (CUEiMS) Cambridge Network IT & Infrastructure SIGOther talksDiscovering regulators of insulin output with flies and human islets: implications for diabetes and pancreas cancer Depression and inflammation in the 21st century What's the point of Margaret Cavendish's Blazing World? Enriched Internal Categories Black and British Migration Emotion |
Carola-Bibiane Schönlieb (University of Cambridge).
Wednesday 18 October 2017, 10:00-10:30