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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 Carola-Bibiane Schönlieb (University of Cambridge). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 10:00-10:30 IntroductionTGMW48 - Developments in Healthcare Imaging - Connecting with Industry . Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 10:30-10:35 Statistical Framework for Modelling Inter-object Relationships in Multi Object Image AnalysisTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Surajit Ray (University of Glasgow). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 10:35-11:10 Challenges for Machine Learning in Clinical Decision Support : Focus on StrokeTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Ian Poole (Toshiba Medical Visualisation Systems Europe Ltd). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 11:10-11:45 Intraoperative Molecular Imaging in Cancer SurgeryTGMW48 - Developments in Healthcare Imaging - Connecting with Industry David Tuch (Lightpoint Medical). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 12:05-12:15 New Technology Can Transform Low-cost MicroscopyTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Richard Williams (ioLight). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 12:15-12:25 Digital Innovation for Imaging AgentsTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Chris Foley (GE Healthcare). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 12:25-12:35 Collaborations on Imaging – The Medimmune’s Innovative WayTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Jerry Wu (MedImmune). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 12:35-12:45 MedIAN (Medical Image Analysis Network) - Collaborating Across DisciplinesTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Ben Glocker (Imperial College London). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 12:45-13:00 IntroductionTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Fred Wilson (GlaxoSmithKline). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 14:00-14:05 Routes to Market Introduction for a Promising Imaging BiomarkerTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Elizabeth Berry (Elizabeth Berry Ltd). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 14:05-14:20 From Analysis Method to Quantitative Imaging BiomarkersTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Sarah Lee (Independant Consultant). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 14:20-14:35 Functional Respiratory Imaging: The Story of a Growing ChildTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Wim Vos (FluidDa). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 14:35-15:10 QuestionsTGMW48 - Developments in Healthcare Imaging - Connecting with Industry . Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 15:10-15:15 IntroductionTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Carola-Bibiane Schönlieb (University of Cambridge). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 15:40-15:45 Using Machine Learning to Accelerate Treatment Workflows in Radiation OncologyTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Raj Jena (Cambridge University Hospitals ). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 15:45-16:20 Patient-specific Biomechanical Modelling in the Development of Cardiovascular DiseaseTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Yuan Huang (Centre for Mathematical Imaging in Healthcare). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 16:20-16:40 The Complexity of Motion in Medical Imaging: From Theory to PracticeTGMW48 - Developments in Healthcare Imaging - Connecting with Industry Angelica I. Aviles-Rivero (University of Cambridge). Seminar Room 1, Newton Institute. Wednesday 18 October 2017, 16:40-17:00 Graph Methods for Manifold-valued DataVMV - Variational methods and effective algorithms for imaging and vision Daniel Tenbrinck (Universität Münster). Seminar Room 2, Newton Institute. Friday 20 October 2017, 10:00-11:00 Title and abstract tbaGFS - Growth form and self-organisation . Seminar Room 2, Newton Institute. Thursday 26 October 2017, 15:00-16:30 Spectral Computed TomographyVMVW02 - Generative models, parameter learning and sparsity James Nagy (Emory University). Seminar Room 1, Newton Institute. Monday 30 October 2017, 09:50-10:40 tbaVMVW02 - Generative models, parameter learning and sparsity Eldad Haber (University of British Columbia). Seminar Room 1, Newton Institute. Monday 30 October 2017, 11:10-12:00 tbaVMVW02 - Generative models, parameter learning and sparsity Christoph Brune (Universiteit Twente). Seminar Room 1, Newton Institute. Monday 30 October 2017, 12:00-12:50 PDE-based Algorithms for Convolution Neural NetworkVMVW02 - Generative models, parameter learning and sparsity Lars Ruthotto (Emory University). Seminar Room 1, Newton Institute. Monday 30 October 2017, 14:00-14:50 Optimal Approximation with Sparsely Connected Deep Neural NetworksVMVW02 - Generative models, parameter learning and sparsity Gitta Kutyniok (Technische Universität Berlin). Seminar Room 1, Newton Institute. Monday 30 October 2017, 14:50-15:40 Enhancing fMRI Reconstruction by Means of the ICBTV-Regularisation Combined with Suitable Subsampling Strategies and Temporal SmoothingVMVW02 - Generative models, parameter learning and sparsity Eva-Maria Brinkmann (Westfalische Wilhelms-Universitat Munster; Westfalische Wilhelms-Universitat Munster). Seminar Room 1, Newton Institute. Monday 30 October 2017, 15:40-16:00 tbaVMVW02 - Generative models, parameter learning and sparsity Joan Bruna (New York University; University of California, Berkeley). Seminar Room 1, Newton Institute. Monday 30 October 2017, 16:30-17:20 tbaVMVW02 - Generative models, parameter learning and sparsity Justin Romberg (Georgia Institute of Technology). Seminar Room 1, Newton Institute. Monday 30 October 2017, 17:20-18:10 RED: Regularization by DenoisingVMVW02 - Generative models, parameter learning and sparsity Peyman Milanfar (Google; Google). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 09:00-09:50 tbaVMVW02 - Generative models, parameter learning and sparsity Ozan Öktem (KTH - Royal Institute of Technology ; Karolinska Institute). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 09:50-10:40 Accelerated Free-Form Model Discovery of Interpretable Models using Small DataVMVW02 - Generative models, parameter learning and sparsity Lior Horesh (IBM Research). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 11:10-12:00 tbaVMVW02 - Generative models, parameter learning and sparsity Martin Benning (University of Cambridge). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 12:00-12:50 The tensor graphical lasso (Teralasso)VMVW02 - Generative models, parameter learning and sparsity Alfred Hero (University of Michigan). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 14:00-14:50 Breaking the Curse of Dimensionality with Convex Neural NetworksVMVW02 - Generative models, parameter learning and sparsity Francis Bach (INRIA Paris - Rocquencourt; ENS - Paris). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 14:50-15:40 Learned forward operators: Variational regularization for black-box modelsVMVW02 - Generative models, parameter learning and sparsity Jonas Adler (KTH - Royal Institute of Technology ). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 15:40-16:00 Advancements in Optimal Design and Hybrid Iterative Methods for Inverse ProblemsVMVW02 - Generative models, parameter learning and sparsity Julianne Chung (Virginia Polytechnic Institute and State University). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 16:30-17:20 tbaVMVW02 - Generative models, parameter learning and sparsity Andreas Hauptmann (University College London). Seminar Room 1, Newton Institute. Tuesday 31 October 2017, 17:20-18:10 Please see above for contact details for this list. |
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