Lilian Blot
Lilian Blot
Department of Computer Science, University of York, UK
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Visualizing plant development and gene expression in three dimensions using optical projection tomography
K Lee, J Avondo, H Morrison, L Blot, M Stark, J Sharpe, A Bangham, ...
The Plant Cell 18 (9), 2145-2156, 2006
Background texture extraction for the classification of mammographic parenchymal patterns
L Blot, R Zwiggelaar
Medical Image Understanding and Analysis, 145-148, 2001
Set-permutation-occurrence matrix based texture segmentation
R Zwiggelaar, L Blot, D Raba, ERE Denton
Iberian Conference on Pattern Recognition and Image Analysis, 1099-1107, 2003
Problems of data mobility and reuse in the provision of computer-based training for screening mammography
M Hartswood, R Procter, P Taylor, L Blot, S Anderson, M Rouncefield, ...
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012
A volumetric approach to glandularity estimation in mammography: a feasibility study
L Blot, R Zwiggelaar
Physics in medicine and biology 50, 695, 2005
Extracting background texture in mammographic images: a co-occurrence matrices based approach
L Blot, R Zwiggelaar
5th International Workshop on Digital Mammography, 142-148, 2000
An estimation of firmness for solid ellipsoidal fruits
AP Cherng, F Ouyang, L Blot, R Zwiggelaar
Biosystems engineering 91 (2), 257-259, 2005
EM texture segmentation of mammographic images
R Zwiggelaar, P Planiol, J Marti, R Marti, L Blot, ERE Denton, CME Rubin
Digital Mammography, 223-227, 2003
Synthesis and analysis of solid texture: application in medical imaging
L Blot, R Zwiggelaar
Automated quality assurance applied to mammographic imaging
L Blot, A Davis, M Holubinka, R Martí, R Zwiggelaar
EURASIP Journal on Advances in Signal Processing 2002 (7), 1-10, 2002
Enhancement of abnormal structures in mammographic images
L Blot, R Zwiggelaar, CRM Boggis
Medical Image Understanding and Analysis (MIUA 2000), 125-128, 2000
Reading the lesson: eliciting requirements for a mammography training application
M Hartswood, L Blot, P Taylor, S Anderson, R Procter, L Wilkinson, ...
Medical Imaging 2009: Image Perception, Observer Performance, and Technology …, 2009
Risk assessment: the use of background texture in mammographic imaging
L Blot, E Denton, R Zwiggelaar
Digital Mammography, 541-543, 2003
Scoring systems in computer-based training for digital mammography
P Taylor, M Hartswood, L Blot, R Procter, S Anderson
International Workshop on Digital Mammography, 490-496, 2010
P.: & Gilchrist, A.(2010). Computer-Supported Cooperative Learning for Mammography
M Hartswood, L Blot, R Procter, LT Wilkinson
GROUP, 2010
Using h_int for Risk Assessment in Mammography: a Feasibility Study
L Blot, R Zwiggelaar
Technologies of Participation: A Case Study of CSCL@ Work in Mammography
M Hartswood, R Procter, P Taylor, L Blot, S Anderson
Computer-Supported Collaborative Learning at the Workplace, 113-138, 2013
Structured evaluation of the effectiveness of an interactive tool for developing interpretation skills in mammography
R Pietrosanu, H Gay, A Patel, L Blot, M Hartswood, R Proctor, P Taylor, ...
Breast Cancer Research 14 (1), 1-14, 2012
Medical Image Understanding and Analysis. 2003
R Zwiggelaar, L Blot, D Raba, DRE Erika
Texture segmentation in mammograms.[Google Scholar], 2007
Learning from experience: maintaining flexibility in the production of training materials to support breast cancer screening.
M Hartswood, S Anderson, L Blot, A Gilchrist, R Procter, P Taylor
These proceedings document the various presentations at the Fourth …, 2011
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