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2024 Journal Article Synthetic data for deep learning in computer vision and medical imaging: a means to reduce data biasPaproki, 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 |
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2021 Journal Article Time to get serious about the detection and monitoring of early lung disease in cystic fibrosisBayfield, 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 |
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2018 Journal Article A lightweight rapid application development framework for biomedical image analysisChandra, 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 |
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2017 Journal Article Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee InjuryPaproki, 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 |
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2017 Journal Article Comparison of 3D bone models of the knee joint derived from CT and 3T MR imagingNeubert, 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 |
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2015 Journal Article Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance imagesYang, 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 |
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2014 Journal Article Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images: data from the Osteoarthritis InitiativePaproki, 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 |
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2012 Journal Article A novel mesh processing based technique for 3D plant analysisPaproki, 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 |
