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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

A lightweight rapid application development framework for biomedical image analysis

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

Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee Injury

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

Comparison of 3D bone models of the knee joint derived from CT and 3T MR imaging

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

Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative

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

Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: data from the osteoarthritis initiative

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

Automatic bone segmentation and bone-cartilage interface extraction for the shoulder joint from magnetic resonance images

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

Automated segmentation and analysis of normal and osteoarthritic knee menisci from magnetic resonance images: data from the Osteoarthritis Initiative

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.

Automatic Bone Segmentation for Shoulder {MRI} using Statistical Shape Models