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ORCIDIan Poole
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2010 – 2019
- 2018
[c25]Aneta Lisowska
, Alison O'Neil, Ian Poole:
Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data. HEALTHINF 2018: 77-82- [c24]Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole:
Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data. ECCV Workshops (3) 2018: 470-484 - [c23]Matthew Daykin, Mathini Sellathurai, Ian Poole:
A Comparison of Unsupervised Abnormality Detection Methods for Interstitial Lung Disease. MIUA 2018: 287-298 - [i1]Alison Q. O'Neil, Antanas Kascenas, Joseph Henry, Daniel Wyeth, Matthew Shepherd, Erin Beveridge, Lauren Clunie, Carrie Sansom, Evelina Seduikyte, Keith Muir, Ian Poole:
Attaining human-level performance for anatomical landmark detection in 3D CT data. CoRR abs/1805.08687 (2018) - 2017
- [c22]Aneta Lisowska, Erin Beveridge, Keith Muir, Ian Poole:
Thrombus Detection in CT Brain Scans using a Convolutional Neural Network. BIOIMAGING 2017: 24-33 - [c21]Aneta Lisowska, Erin Beveridge, Alison O'Neil, Vismantas Dilys, Keith Muir, Ian Poole:
Evaluation of Dense Vessel Detection in NCCT Scans. BIOSTEC (Selected Papers) 2017: 134-145 - [c20]Andrew McNeil, Giulio Degano, Ian Poole, Graeme Houston, Emanuele Trucco:
Comparison of Automatic Vessel Segmentation Techniques for Whole Body Magnetic Resonance Angiography with Limited Ground Truth Data. MIUA 2017: 144-155 - [c19]Aneta Lisowska, Alison O'Neil, Vismantas Dilys, Matthew Daykin, Erin Beveridge, Keith Muir, Stephen McLaughlin, Ian Poole:
Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans. MIUA 2017: 494-505 - [c18]Matthew Daykin, Erin Beveridge, Vismantas Dilys, Aneta Lisowska, Keith Muir, Mathini Sellathurai, Ian Poole:
Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT. MIUA 2017: 537-547 - 2016
- [c17]Alison O'Neil, Mohammad A. Dabbah, Ian Poole:
Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext. MLMI@MICCAI 2016: 139-146 - 2015
- [c16]Aneta Lisowska, Gavin Wheeler, Victor Ceballos Inza, Ian Poole:
An Evaluation of Supervised, Novelty-Based and Hybrid Approaches to Fall Detection Using Silmee Accelerometer Data. ICCV Workshops 2015: 402-408 - [c15]Alison O'Neil, Sean Murphy, Ian Poole:
Anatomical Landmark Detection in CT Data by Learned Atlas Location Autocontext. MIUA 2015: 189-194 - 2014
- [c14]Alison O'Neil, Erin Beveridge, Graeme Houston, Lynne McCormick, Ian Poole:
Arterial tree tracking from anatomical landmarks in magnetic resonance angiography scans. Medical Imaging: Image Processing 2014: 90342S - [c13]Mohammad A. Dabbah, Sean Murphy, Hippolyte Pello, Romain Courbon, Erin Beveridge, Stewart Wiseman, Daniel Wyeth, Ian Poole:
Detection and location of 127 anatomical landmarks in diverse CT datasets. Medical Imaging: Image Processing 2014: 903415 - [c12]Sean Murphy, Brian Mohr, Yasutaka Fushimi, Hitoshi Yamagata, Ian Poole:
Fast, Simple, Accurate Multi-atlas Segmentation of the Brain. WBIR 2014: 1-10 - 2012
- [j1]Sean Murphy, Akin Akinyemi, J. Steel, Yvan R. Petillot, Ian Poole:
Multi-compartment heart segmentation in CT angiography using a spatially varying gaussian classifier. Int. J. Comput. Assist. Radiol. Surg. 7(6): 829-836 (2012) - [c11]Akin Akinyemi, Costas Plakas, Jim Piper, Colin Roberts, Ian Poole:
Optimal atlas selection using image similarities in a trained regression model to predict performance. ISBI 2012: 1264-1267
2000 – 2009
- 2009
- [c10]Akin Akinyemi, Sean Murphy, Ian Poole, Colin Roberts:
Automatic labelling of coronary arteries. EUSIPCO 2009: 1562-1566
1990 – 1999
- 1998
- [c9]Ian Poole, Craig Ewington, Arthur Joones, Steve Wille:
Combining Functional and Object-Oriented Programming Methodologies in a Large Commercial Application. ICCL 1998: 111- - 1996
- [c8]Morris F. Chudleigh, Chris Berridge, Jenny Butler, Rodney May, Ian Poole:
SADLI: Functional Programming in a Safety Critical Application. SSS 1996: 223-242 - 1994
- [c7]Ian Poole, Derek Charleston:
Experience of developing a cervical cytology scanning system using Gofer and Haskell. Functional Programming 1994: 205-217 - [c6]Jim Piper, Ian Poole, Andrew Carothers:
Stein's paradox and improved quadratic discrimination of real and simulated data by covariance weighting. ICPR (2) 1994: 529-532 - [c5]Ian Poole, Derek Charleston:
Formal specification of image processing primitives in a functional language. ICPR (1) 1994: 539-542 - 1992
- [b1]Ian Poole:
Contextual image classification. University College London, UK, 1992 - [c4]Ian Poole:
A functional programming environment for image analysis. ICPR (4) 1992: 124-127 - 1990
- [c3]Ian Poole:
Optimal probabilistic relaxation labeling. BMVC 1990: 1-6
1980 – 1989
- 1988
- [c2]Ian Poole:
Avoiding Class-conditional Independence Assumptions in Image Classification. Alvey Vision Conference 1988: 1-6 - [c1]Ian Poole, Hilary Adams:
LAPWING - A Trainable Image Recognition System for the Linear Array Processor. Pattern Recognition 1988: 296-305
Coauthor Index
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