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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.

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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 Healthcare

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserCarola-Bibiane Schönlieb (University of Cambridge).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 10:00-10:30

Introduction

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

User.

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 10:30-10:35

Statistical Framework for Modelling Inter-object Relationships in Multi Object Image Analysis

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserSurajit Ray (University of Glasgow).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 10:35-11:10

Challenges for Machine Learning in Clinical Decision Support : Focus on Stroke

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserIan Poole (Toshiba Medical Visualisation Systems Europe Ltd).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 11:10-11:45

Intraoperative Molecular Imaging in Cancer Surgery

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserDavid Tuch (Lightpoint Medical).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 12:05-12:15

New Technology Can Transform Low-cost Microscopy

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserRichard Williams (ioLight).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 12:15-12:25

Digital Innovation for Imaging Agents

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserChris Foley (GE Healthcare).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 12:25-12:35

Collaborations on Imaging – The Medimmune’s Innovative Way

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserJerry Wu (MedImmune).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 12:35-12:45

MedIAN (Medical Image Analysis Network) - Collaborating Across Disciplines

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserBen Glocker (Imperial College London).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 12:45-13:00

Introduction

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserFred Wilson (GlaxoSmithKline).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 14:00-14:05

Routes to Market Introduction for a Promising Imaging Biomarker

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserElizabeth Berry (Elizabeth Berry Ltd).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 14:05-14:20

From Analysis Method to Quantitative Imaging Biomarkers

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserSarah Lee (Independant Consultant).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 14:20-14:35

Functional Respiratory Imaging: The Story of a Growing Child

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserWim Vos (FluidDa).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 14:35-15:10

Questions

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

User.

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 15:10-15:15

Introduction

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserCarola-Bibiane Schönlieb (University of Cambridge).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 15:40-15:45

Using Machine Learning to Accelerate Treatment Workflows in Radiation Oncology

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserRaj Jena (Cambridge University Hospitals ).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 15:45-16:20

Patient-specific Biomechanical Modelling in the Development of Cardiovascular Disease

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserYuan Huang (Centre for Mathematical Imaging in Healthcare).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 16:20-16:40

The Complexity of Motion in Medical Imaging: From Theory to Practice

TGMW48 - Developments in Healthcare Imaging - Connecting with Industry

UserAngelica I. Aviles-Rivero (University of Cambridge).

HouseSeminar Room 1, Newton Institute.

ClockWednesday 18 October 2017, 16:40-17:00

Graph Methods for Manifold-valued Data

VMV - Variational methods and effective algorithms for imaging and vision

UserDaniel Tenbrinck (Universität Münster).

HouseSeminar Room 2, Newton Institute.

ClockFriday 20 October 2017, 10:00-11:00

Title and abstract tba

GFS - Growth form and self-organisation

User.

HouseSeminar Room 2, Newton Institute.

ClockThursday 26 October 2017, 15:00-16:30

Spectral Computed Tomography

VMVW02 - Generative models, parameter learning and sparsity

UserJames Nagy (Emory University).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 09:50-10:40

tba

VMVW02 - Generative models, parameter learning and sparsity

UserEldad Haber (University of British Columbia).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 11:10-12:00

tba

VMVW02 - Generative models, parameter learning and sparsity

UserChristoph Brune (Universiteit Twente).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 12:00-12:50

PDE-based Algorithms for Convolution Neural Network

VMVW02 - Generative models, parameter learning and sparsity

UserLars Ruthotto (Emory University).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 14:00-14:50

Optimal Approximation with Sparsely Connected Deep Neural Networks

VMVW02 - Generative models, parameter learning and sparsity

UserGitta Kutyniok (Technische Universität Berlin).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 14:50-15:40

Enhancing fMRI Reconstruction by Means of the ICBTV-Regularisation Combined with Suitable Subsampling Strategies and Temporal Smoothing

VMVW02 - Generative models, parameter learning and sparsity

UserEva-Maria Brinkmann (Westfalische Wilhelms-Universitat Munster; Westfalische Wilhelms-Universitat Munster).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 15:40-16:00

tba

VMVW02 - Generative models, parameter learning and sparsity

UserJoan Bruna (New York University; University of California, Berkeley).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 16:30-17:20

tba

VMVW02 - Generative models, parameter learning and sparsity

UserJustin Romberg (Georgia Institute of Technology).

HouseSeminar Room 1, Newton Institute.

ClockMonday 30 October 2017, 17:20-18:10

RED: Regularization by Denoising

VMVW02 - Generative models, parameter learning and sparsity

UserPeyman Milanfar (Google; Google).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 09:00-09:50

tba

VMVW02 - Generative models, parameter learning and sparsity

UserOzan Öktem (KTH - Royal Institute of Technology ; Karolinska Institute).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 09:50-10:40

Accelerated Free-Form Model Discovery of Interpretable Models using Small Data

VMVW02 - Generative models, parameter learning and sparsity

UserLior Horesh (IBM Research).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 11:10-12:00

tba

VMVW02 - Generative models, parameter learning and sparsity

UserMartin Benning (University of Cambridge).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 12:00-12:50

The tensor graphical lasso (Teralasso)

VMVW02 - Generative models, parameter learning and sparsity

UserAlfred Hero (University of Michigan).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 14:00-14:50

Breaking the Curse of Dimensionality with Convex Neural Networks

VMVW02 - Generative models, parameter learning and sparsity

UserFrancis Bach (INRIA Paris - Rocquencourt; ENS - Paris).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 14:50-15:40

Learned forward operators: Variational regularization for black-box models

VMVW02 - Generative models, parameter learning and sparsity

UserJonas Adler (KTH - Royal Institute of Technology ).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 15:40-16:00

Advancements in Optimal Design and Hybrid Iterative Methods for Inverse Problems

VMVW02 - Generative models, parameter learning and sparsity

UserJulianne Chung (Virginia Polytechnic Institute and State University).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 16:30-17:20

tba

VMVW02 - Generative models, parameter learning and sparsity

UserAndreas Hauptmann (University College London).

HouseSeminar Room 1, Newton Institute.

ClockTuesday 31 October 2017, 17:20-18:10

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