lectureComing Invited Talks

talks  Past Invited Talks

  • [September 2020 – Workshop Talk] @Theory and Algorithms in Graph-based Learning, The Institute for Mathematics and its Applications (IMA, Minneapolis), (Virtual Event).
  • [September 2020 – Talk] @Geometry and Machine Learning with Applications to Biomedical Engineering, UCL, (Virtual Event)
  • [June 2020 – Symposia Talk]  @SIAM Conference on Mathematics of Data Science (MDS20), Cincinnati, Ohio, USA. (Virtual Conference Link)
  • [July 2020 – Symposia Talk]  @SIAM Conference on Imaging Science (IS20) , Toronto, Canada. (Virtual Event)
  • [June 2020 – Symposia Talk] @AIMS Conference, Atlanta, USA. (Postponed 2021)
  • [March 2020 – Outreach Talk] The Power of AI in Healthcare, @Harnessing big clinical data in medicine: can AI improve Breast Cancer Screening?” Cambridge Science Festival, Newnham College.
  • [March 2020 – Talk]  When Labelling Hurts: Learning to Classify Large-Scale Medical Data with Minimal Supervision @Imaging & Mathematics Network, Cancer Research UK Cambridge Institute.
  • [November 2019 – Tutorial Talk] The Power of Unlabelled Data for Learning with Medical Data @ACPR Auckland, New Zealand.
  • [October 2019 – Seminar Talk] Variational and Data-Driven Multi-Task Models for Medical Image Analysis @KAIST Daejeon, South Korea.
  • [September 2019 Workshop Talk] Multi-Task and Hybrid Models for Medical Image Analysis: From Image Reconstruction to Classification @Mummering Workshop on Dynamic Imaging, Universiteit Leiden, NL.
  • [June 2019 – Workshop Talk] Are We There?: Current Status, Challenges and Opportunities for Remote Sensing Data. Re-visioning Transport and Health Workshop 2019.
  • [May. 2019 – Seminar Talk]  IPAM @University of California, Los Angeles (UCLA), USA.
  • [April. 2019 – Workshop Talk]  Learning to Classify under Extreme Minimal Supervision on Graphs: From Space to Medical Large-Scale Problems.  @GAMM, Mathematical Signal and Image Processing. Raitenhaslach, Germany.
  • [April. 2019 – Seminar Talk]  Multi-tasking for MR Image Enhancement: From Acceleration to Motion Correction. Cambridge Cardiovascular Seminar. @Cambridge Cardiovascular.
  • [Dec. 2018 – Seminar Talk] Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All? – A Tailored Approach to Single Image Reflection Removal. @Department of Mathematics, National University of Singapore (NUS), Singapore.
  • [Dec. 2018 – Tutorial Talk] Classic vs Deep Vision. Revising the Classic Perspective, @Asian Conference on Computer Vision ACCV, Perth, Australia.
  • [Nov. 2018 –  Workshop Talk] Image Analysis and Machine Learning For Remote Sensing Data:   Current Status, Challenges and Opportunities   @Using images at scale to understand environments and behaviours. Cambridge, UK.
  • [Sep. 2018 – Workshop Talk] Compressed Sensing Plus Motion: A New Perspective for Improving Undersampled MR Data.  @Data Challenges in Cardiovascular Research, Cardiovascular SRI and Big Data SRI, UK.
  • [Sep. 2018 – Symposia Talk] Spatio-temporal imaging by joint motion and image reconstruction and its application to spatiotemporal MRI, Minisymposia Inverse problems with Imperfect Forward Models , SIAM Conference on Imaging Science, Bologna Italy. @SIAM-IS18.
  • [2018 – Workshop Talk]  Representational Similarity Analysis and Advanced Computational Methods @RSA2018.
  • [2018 – Workshop Talk] Invited Talk @EPSRC Centre for Mathematical Imaging in Healthcare Academic Engagement Conference, Cambridge.
  • [2017 – Workshop Talk] Invited Talk  @Developments in Healthcare Imaging – Connecting with Industry, Isaac Newton Institute, Cambridge, UK.
  • [2017 – Workshop Talk] The Complexity of Motion in Medical Imaging: From Variational Methods to Machine Learning Workshop Image Analysis and Processing in the Life Sciences, University of Warwick, UK. @MiR@W Day.
  • [2017-  Seminar Talk] Challenges in Medical Robotics: From Computer Vision to Deep Learning. @UAM, Mexico.

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