Anthony Paproki
Anthony Paproki
Postdoctoral fellow
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Cited by
Cited by
A novel mesh processing based technique for 3D plant analysis
A Paproki, X Sirault, S Berry, R Furbank, J Fripp
BMC plant biology 12, 1-13, 2012
Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images–data from the Osteoarthritis Initiative
A Paproki, C Engstrom, SS Chandra, A Neubert, J Fripp, S Crozier
Osteoarthritis and cartilage 22 (9), 1259-1270, 2014
PlantScan: a three-dimensional phenotyping platform for capturing the structural dynamic of plant development and growth
X Sirault, J Fripp, A Paproki, P Kuffner, C Nguyen, R Li, H Daily, J Guo, ...
Proceedings of the 7th International Conference on Functional-Structural …, 2013
Automated 3D segmentation and analysis of cotton plants
A Paproki, J Fripp, O Salvado, X Sirault, S Berry, R Furbank
2011 International Conference on Digital Image Computing: Techniques and …, 2011
Time to get serious about the detection and monitoring of early lung disease in cystic fibrosis
KJ Bayfield, TA Douglas, T Rosenow, JC Davies, SJ Elborn, M Mall, ...
Thorax 76 (12), 1255-1265, 2021
Comparison of 3D bone models of the knee joint derived from CT and 3T MR imaging
A Neubert, KJ Wilson, C Engstrom, RK Surowiec, A Paproki, N Johnson, ...
European Journal of Radiology 93, 178-184, 2017
Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images
Z Yang, J Fripp, SS Chandra, A Neubert, Y Xia, M Strudwick, A Paproki, ...
Physics in Medicine & Biology 60 (4), 1441, 2015
Method and system for characterizing plan phenotype
XRR Sirault, J Fripp, A Paproki
US Patent 9,741,128, 2017
A lightweight rapid application development framework for biomedical image analysis
SS Chandra, JA Dowling, C Engstrom, Y Xia, A Paproki, A Neubert, ...
Computer methods and programs in biomedicine 164, 193-205, 2018
Automated T2-mapping of the menisci from magnetic resonance images in patients with acute knee injury
A Paproki, C Engstrom, M Strudwick, KJ Wilson, RK Surowiec, C Ho, ...
Academic Radiology 24 (10), 1295-1304, 2017
Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: Data from the osteoarthritis initiative
A Paproki, KJ Wilson, RK Surowiec, CP Ho, A Pant, P Bourgeat, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 424-427, 2016
Learning Dense Correspondence from Synthetic Environments
M Lal, A Paproki, N Habili, L Petersson, O Salvado, C Fookes
2022 International Conference on Digital Image Computing: Techniques and …, 2022
Automated Image Analysis of High-field and Dynamic Musculoskeletal MRI
A Paproki
Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative
A Neubert, I Naser, A Paproki, C Engstrom, J Fripp, S Crozier, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 881-884, 2016
Automatic Bone Segmentation for Shoulder MRI using Statistical Shape Models
Z Yang, J Fripp, C Engstrom, S Chandra, Y Xia, A Paproki, M Strudwick, ...
International Society for Magnetic Resonance in Medicine, 2014
KEYNOTE: Functional-structural modelling with L-systems: Where from and where to
J Hanan
Publishers: Finnish Society of Forest Science, Vantaa, Finland Finnish …, 0
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