Michael Pound
Michael Pound
Associate Professor, University of Nottingham
Verified email at - Homepage
Cited by
Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Deep machine learning provides state-of-the-art performance in image-based plant phenotyping
MP Pound, JA Atkinson, AJ Townsend, MH Wilson, M Griffiths, ...
Gigascience 6 (10), gix083, 2017
Uncovering the hidden half of plants using new advances in root phenotyping
JA Atkinson, MP Pound, MJ Bennett, DM Wells
Current opinion in biotechnology 55, 1-8, 2019
RootNav: navigating images of complex root architectures
MP Pound, AP French, JA Atkinson, DM Wells, MJ Bennett, T Pridmore
Plant physiology 162 (4), 1802-1814, 2013
Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat
JA Atkinson, LU Wingen, M Griffiths, MP Pound, O Gaju, MJ Foulkes, ...
Journal of Experimental Botany 66 (8), 2283-2292, 2015
Systems Analysis of Auxin Transport in the Arabidopsis Root Apex
LR Band, DM Wells, JA Fozard, T Ghetiu, AP French, MP Pound, ...
The Plant Cell 26 (3), 862-875, 2014
Deep learning for multi-task plant phenotyping
MP Pound, JA Atkinson, DM Wells, TP Pridmore, AP French
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
J Gao, AP French, MP Pound, Y He, TP Pridmore, JG Pieters
Plant methods 16, 1-12, 2020
Automated recovery of three-dimensional models of plant shoots from multiple color images
MP Pound, AP French, EH Murchie, TP Pridmore
Plant physiology 166 (4), 1688-1698, 2014
Root system markup language: toward a unified root architecture description language
G Lobet, MP Pound, J Diener, C Pradal, X Draye, C Godin, M Javaux, ...
Plant physiology 167 (3), 617-627, 2015
RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures
R Yasrab, JA Atkinson, DM Wells, AP French, TP Pridmore, MP Pound
GigaScience 8 (11), giz123, 2019
Integration of hormonal signaling networks and mobile microRNAs is required for vascular patterning in Arabidopsis roots
D Muraro, N Mellor, MP Pound, H Help, M Lucas, J Chopard, HM Byrne, ...
Proceedings of the National Academy of Sciences 111 (2), 857-862, 2014
Approaches to three-dimensional reconstruction of plant shoot topology and geometry
JA Gibbs, M Pound, AP French, DM Wells, E Murchie, T Pridmore
Functional Plant Biology 44 (1), 62-75, 2016
CellSeT: novel software to extract and analyze structured networks of plant cells from confocal images
MP Pound, AP French, DM Wells, MJ Bennett, TP Pridmore
The Plant Cell 24 (4), 1353-1361, 2012
The 4-dimensional plant: effects of wind-induced canopy movement on light fluctuations and photosynthesis
AJ Burgess, R Retkute, SP Preston, OE Jensen, MP Pound, TP Pridmore, ...
Frontiers in plant science 7, 1392, 2016
The 6xABRE Synthetic Promoter Enables the Spatiotemporal Analysis of ABA-Mediated Transcriptional Regulation
R Wu, L Duan, JL Pruneda-Paz, D Oh, M Pound, S Kay, JR Dinneny
Plant Physiology 177 (4), 1650-1665, 2018
High-resolution three-dimensional structural data quantify the impact of photoinhibition on long-term carbon gain in wheat canopies in the field
AJ Burgess, R Retkute, MP Pound, J Foulkes, SP Preston, OE Jensen, ...
Plant Physiology 169 (2), 1192-1204, 2015
Predicting plant growth from time-series data using deep learning
R Yasrab, J Zhang, P Smyth, MP Pound
Remote Sensing 13 (3), 331, 2021
Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction
JA Gibbs, M Pound, AP French, DM Wells, E Murchie, T Pridmore
Plant physiology 178 (2), 524-534, 2018
Pressing the flesh: Sensing multiple touch and finger pressure on arbitrary surfaces
J Marshall, T Pridmore, M Pound, S Benford, B Koleva
Pervasive Computing, 38-55, 2008
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