| 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 | 304 | 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 | 60 | 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 | 46 | 2013 |
| 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 | 42 | 2021 |
| 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 | 41 | 2011 |
| 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 | 40 | 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 | 30 | 2015 |
| Method and system for characterizing plan phenotype XRR Sirault, J Fripp, A Paproki US Patent 9,741,128, 2017 | 24 | 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 | 20 | 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 | 13 | 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 | 8 | 2016 |
| Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias A Paproki, O Salvado, C Fookes ACM Computing Surveys, 2024 | 5 | 2024 |
| 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 | | 2022 |
| Time to get serious about the detection and monitoring of early lung disease in cystic fibrosis PD Robinson, S Stick, C Wainwright, KJ Bayfield, TA Douglas, T Rosenow, ... Thorax, 2021 | | 2021 |
| Automated Image Analysis of High-field and Dynamic Musculoskeletal MRI A Paproki | | 2017 |
| 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 | | 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 | | 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 | | |
Jurgen FrippAustralian e-Health Research Centre CSIROBestätigte E-Mail-Adresse bei csiro.au