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Dr Jack Spencer

Dr Jack Spencer

Industrial Research Fellow

 

Overview

Jack Spencer is an industrial research fellow with the Translational Research Exchange @ Exeter (TREE), based at the Living Systems Institute. He obtained a BSc in Mathematics from the University of Liverpool in 2012, before pursuing a PhD at the Centre for Mathematical Imaging Techniques at the same institution. The thesis concerned variational methods for image segmentation. He then joined the EPSRC Liverpool Centre for Mathematics in Healthcare as a postdoctoral research associate in 2016 before joing the University of Exeter in 2018. His research interests focus on the medical applications of image processing.

View my profile on the Mathematics website.

Research

Publications

Key publications | Publications by category | Publications by year

Publications by category


Journal articles

Chen D, Spencer J, Mirebeau J-M, Chen K, Shu M, Cohen LD (2021). A Generalized Asymmetric Dual-Front Model for Active Contours and Image Segmentation. IEEE Trans Image Process, 30, 5056-5071. Abstract.  Author URL.
Spencer J, Chen K, Duan J (2019). Parameter-Free Selective Segmentation with Convex Variational Methods. IEEE Transactions on Image Processing, 28(5), 2163-2172. Abstract.
Spencer J (2018). A Restricted-Domain Dual Formulation for Two-Phase Image Segmentation. Irish Machine Vision and Image Processing Conference Proceedings. pp. 139-146, 2017 Abstract.  Author URL.  Full text.
Roberts M, Spencer J (2018). Chan-Vese Reformulation for Selective Image Segmentation.  Abstract.  Author URL.
Williams BM, Spencer JA, Chen K, Zheng Y, Harding S (2016). An effective variational model for simultaneous reconstruction and segmentation of blurred images. Journal of Algorithms and Computational Technology, 10(4), 244-264. Abstract.
Spencer J, Chen K (2016). Stabilised bias field: segmentation with intensity inhomogeneity. Journal of Algorithms & Computational Technology, 10(4), 302-313. Abstract.
Spencer J, Chen K (2015). A convex and selective variational model for image segmentation. Communications in Mathematical Sciences, 13(6), 1453-1472.

Chapters

Spencer J, Chen K (2015). Advanced methods in variational learning: Segmentation with intensity inhomogeneity. In  (Ed) Mathematical Problems in Data Science: Theoretical and Practical Methods, 171-187.  Abstract.

Conferences

Chen D, Spencer JA, Mirebeau J-M, Chen K, Cohen L (In Press). Asymmetric Geodesic Distance Propagation for Active Contours. BRITISH MACHINE VISION CONFERENCE.  Full text.
Spencer J, Chen K (2016). Global and local segmentation of images by geometry preserving variational models and their algorithms.  Abstract.

Publications by year


In Press

Chen D, Spencer JA, Mirebeau J-M, Chen K, Cohen L (In Press). Asymmetric Geodesic Distance Propagation for Active Contours. BRITISH MACHINE VISION CONFERENCE.  Full text.

2021

Chen D, Spencer J, Mirebeau J-M, Chen K, Shu M, Cohen LD (2021). A Generalized Asymmetric Dual-Front Model for Active Contours and Image Segmentation. IEEE Trans Image Process, 30, 5056-5071. Abstract.  Author URL.

2020

Chen D, Spencer J, Mirebeau J-M, Chen K, Shu M, Cohen LD (2020). A Generalized Asymmetric Dual-front Model for Active Contours and Image. Segmentation.

2019

Spencer J, Chen K, Duan J (2019). Parameter-Free Selective Segmentation with Convex Variational Methods. IEEE Transactions on Image Processing, 28(5), 2163-2172. Abstract.

2018

Spencer J (2018). A Restricted-Domain Dual Formulation for Two-Phase Image Segmentation. Irish Machine Vision and Image Processing Conference Proceedings. pp. 139-146, 2017 Abstract.  Author URL.  Full text.
Roberts M, Spencer J (2018). Chan-Vese Reformulation for Selective Image Segmentation.  Abstract.  Author URL.

2016

Williams BM, Spencer JA, Chen K, Zheng Y, Harding S (2016). An effective variational model for simultaneous reconstruction and segmentation of blurred images. Journal of Algorithms and Computational Technology, 10(4), 244-264. Abstract.
Spencer J, Chen K (2016). Global and local segmentation of images by geometry preserving variational models and their algorithms.  Abstract.
Spencer J, Chen K (2016). Stabilised bias field: segmentation with intensity inhomogeneity. Journal of Algorithms & Computational Technology, 10(4), 302-313. Abstract.

2015

Spencer J, Chen K (2015). A convex and selective variational model for image segmentation. Communications in Mathematical Sciences, 13(6), 1453-1472.
Spencer J, Chen K (2015). Advanced methods in variational learning: Segmentation with intensity inhomogeneity. In  (Ed) Mathematical Problems in Data Science: Theoretical and Practical Methods, 171-187.  Abstract.

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