Overview
Availability
- Dr Anthony Paproki is:
- Available for supervision
Qualifications
- Masters (Coursework) of Computer Science and Information Technology, Université de Technologie Belfort-Montbeliard
- Doctor of Philosophy of Artificial Intelligence and Image Processing, The University of Queensland
Works
Search Professor Anthony Paproki’s works on UQ eSpace
2024
Journal Article
Synthetic data for deep learning in computer vision and medical imaging: a means to reduce data bias
Paproki, Anthony, Salvado, Olivier and Fookes, Clinton (2024). Synthetic data for deep learning in computer vision and medical imaging: a means to reduce data bias. ACM Computing Surveys, 56 (11) 271, 1-37. doi: 10.1145/3663759
2023
Conference Publication
Learning dense correspondence from synthetic environments
Lal, Mithun, Paproki, Anthony, Habili, Nariman, Petersson, Lars, Salvado, Olivier and Fookes, Clinton (2023). Learning dense correspondence from synthetic environments. 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW Australia, 30 November-2 December 2022. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta56598.2022.10034586
2021
Journal Article
Time to get serious about the detection and monitoring of early lung disease in cystic fibrosis
Bayfield, Katie J., Douglas, Tonia A., Rosenow, Tim, Davies, Jane Carolyn, Elborn, Stuart J., Mall, Marcus, Paproki, Anthony, Ratjen, Felix, Sly, Peter D., Smyth, Alan R., Stick, Stephen, Wainwright, Claire E. and Robinson, Paul D. (2021). Time to get serious about the detection and monitoring of early lung disease in cystic fibrosis. Thorax, 76 (12), 1-11. doi: 10.1136/thoraxjnl-2020-216085
2018
Journal Article
A lightweight rapid application development framework for biomedical image analysis
Chandra, Shekhar S., Dowling, Jason A., Engstrom, Craig, Xia, Ying, Paproki, Anthony, Neubert, Aleš, Rivest-Hénault, David, Salvado, Olivier, Crozier, Stuart and Fripp, Jurgen (2018). A lightweight rapid application development framework for biomedical image analysis. Computer Methods and Programs in Biomedicine, 164, 193-205. doi: 10.1016/j.cmpb.2018.07.011
2017
Journal Article
Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee Injury
Paproki, Anthony, Engstrom, Craig, Strudwick, Mark, Wilson, Katharine J., Surowiec, Rachel K., Ho, Charles, Crozier, Stuart and Fripp, Jurgen (2017). Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee Injury. Academic Radiology, 24 (10), 1295-1304. doi: 10.1016/j.acra.2017.03.025
2017
Journal Article
Comparison of 3D bone models of the knee joint derived from CT and 3T MR imaging
Neubert, Aleš, Wilson, Katharine J., Engstrom, Craig, Surowiec, Rachel K., Paproki, Anthony, Johnson, Nicholas, Crozier, Stuart, Fripp, Jurgen and Ho, Charles P. (2017). Comparison of 3D bone models of the knee joint derived from CT and 3T MR imaging. European Journal of Radiology, 93, 178-184. doi: 10.1016/j.ejrad.2017.05.042
2017
Other Outputs
Automated Image Analysis of High-field and Dynamic Musculoskeletal MRI
Paproki, Anthony (2017). Automated Image Analysis of High-field and Dynamic Musculoskeletal MRI. PhD Thesis, School of Information Technol and Elec Engineering, The University of Queensland. doi: 10.14264/uql.2017.388
2016
Conference Publication
Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: data from the osteoarthritis initiative
Paproki, Anthony, Wilson, Katharine J., Surowiec, Rachel K., Ho, Charles P., Pant, Abinash, Bourgeat, Pierrick, Engstrom, Craig, Crozier, Stuart and Fripp, Jurgen (2016). Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: data from the osteoarthritis initiative. IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 13-16 April 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISBI.2016.7493298
2016
Conference Publication
Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative
Neubert, Ales, Naser, Ibrahim, Paproki, Anthony, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2016). Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 13-16 April, 2016. Piscataway, United States: IEEE Operations Center. doi: 10.1109/ISBI.2016.7493406
2015
Journal Article
Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images
Yang, Zhengyi, Fripp, Jurgen, Chandra, Shekhar S., Neubert, Ales, Xia, Ying, Strudwick, Mark, Paproki, Anthony, Engstrom, Craig and Crozier, Stuart (2015). Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images. Physics in Medicine and Biology, 60 (4), 1441-1459. doi: 10.1088/0031-9155/60/4/1441
2014
Conference Publication
Automatic Bone Segmentation for Shoulder {MRI} using Statistical Shape Models
Yang, Zhengyi, Fripp, Jurgen, Engstrom, Craig, Chandra, Shekhar, Xia, Ying, Paproki, Anthony, Strudwick, Mark, Neubert, Ales and Crozier, Stuart (2014). Automatic Bone Segmentation for Shoulder {MRI} using Statistical Shape Models. 2014 – Joint Annual Meeting ISMRM-ESMRMB, 22nd Scientific Meeting and Exhibition, Milan, Italy, 10-16 May 2014. Berkeley, CA United States: International Society for Magnetic Resonance in Medicine.
2014
Journal Article
Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images: data from the Osteoarthritis Initiative
Paproki, A., Engstrom, C., Chandra, S. S., Neubert, A., Fripp, J. and Crozier, S. (2014). Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images: data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage, 22 (9), 1259-1270. doi: 10.1016/j.joca.2014.06.029
2012
Journal Article
A novel mesh processing based technique for 3D plant analysis
Paproki, Anthony, Sirault, Xavier, Berry, Scott, Furbank, Robert and Fripp, Jurgen (2012). A novel mesh processing based technique for 3D plant analysis. Bmc Plant Biology, 12 63. doi: 10.1186/1471-2229-12-63
2011
Conference Publication
Automated 3D segmentation and analysis of cotton plants
Paproki, Anthony, Fripp, Jurgen, Salvado, Olivier, Sirault, Xavier, Berry, Scott and Furbank, Robert (2011). Automated 3D segmentation and analysis of cotton plants. 2011 International Conference on Digital Image Computing: Techniques and Applications, Noosa, QLD Australia, 6-8 December 2011. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta.2011.99
Supervision
Availability
- Dr Anthony Paproki is:
- Available for supervision
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