| Year |
Citation |
Score |
| 2020 |
Welch ML, McIntosh C, McNiven A, Huang SH, Zhang BB, Wee L, Traverso A, O'Sullivan B, Hoebers F, Dekker A, Jaffray DA. User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions. Physica Medica : Pm : An International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (Aifb). 70: 145-152. PMID 32023504 DOI: 10.1016/J.Ejmp.2020.01.027 |
0.302 |
|
| 2019 |
Welch ML, McIntosh C, Traverso A, Wee L, Purdie TG, Dekker A, Haibe-Kains B, Jaffray DA. External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification. Physics in Medicine and Biology. PMID 31851961 DOI: 10.1088/1361-6560/Ab63Ba |
0.32 |
|
| 2019 |
Welch ML, McIntosh C, Purdie TG, Wee L, Traverso A, Dekker A, Haibe-Kains B, Jaffray DA. Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth. Physics in Medicine and Biology. PMID 31683260 DOI: 10.1088/1361-6560/Ab5427 |
0.364 |
|
| 2019 |
Welch M, McIntosh C, Wee L, McNiven A, Huang SH, Zhang B, Traverso A, O’Sullivan B, Hoebers F, Dekker A, Jaffray D. 163 Application of Novel Radiotherapy and Imaging Features for Head and Neck Patient Locoregional Failure Predictions Radiotherapy and Oncology. 139. DOI: 10.1016/S0167-8140(19)33219-0 |
0.303 |
|
| 2014 |
Kawahara J, McIntosh C, Tam R, Hamarneh G. Novel morphological and appearance features for predicting physical disability from MR images in multiple sclerosis patients Lecture Notes in Computational Vision and Biomechanics. 17: 61-73. DOI: 10.1007/978-3-319-07269-2_6 |
0.494 |
|
| 2013 |
McIntosh C, Svistoun I, Purdie TG. Groupwise conditional random forests for automatic shape classification and contour quality assessment in radiotherapy planning. Ieee Transactions On Medical Imaging. 32: 1043-57. PMID 23475352 DOI: 10.1109/Tmi.2013.2251421 |
0.34 |
|
| 2013 |
Kawahara J, McIntosh C, Tam R, Hamarneh G. Globally optimal spinal cord segmentation using a minimal path in high dimensions Proceedings - International Symposium On Biomedical Imaging. 848-851. DOI: 10.1109/ISBI.2013.6556608 |
0.507 |
|
| 2013 |
Kawahara J, McIntosh C, Tam R, Hamarneh G. Augmenting auto-context with global geometric features for spinal cord segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8184: 211-218. DOI: 10.1007/978-3-319-02267-3_27 |
0.502 |
|
| 2012 |
McIntosh C, Hamarneh G. Medial-based deformable models in nonconvex shape-spaces for medical image segmentation. Ieee Transactions On Medical Imaging. 31: 33-50. PMID 21788185 DOI: 10.1109/Tmi.2011.2162528 |
0.581 |
|
| 2011 |
Hamarneh G, McIntosh C, Drew MS. Perception-based visualization of manifold-valued medical images using distance-preserving dimensionality reduction. Ieee Transactions On Medical Imaging. 30: 1314-27. PMID 21296705 DOI: 10.1109/Tmi.2011.2111422 |
0.554 |
|
| 2011 |
Andrews S, McIntosh C, Hamarneh G. Convex multi-region probabilistic segmentation with shape prior in the isometric log-ratio transformation space Proceedings of the Ieee International Conference On Computer Vision. 2096-2103. DOI: 10.1109/ICCV.2011.6126484 |
0.526 |
|
| 2011 |
McIntosh C, Hamarneh G, Toom M, Tam RC. Spinal cord segmentation for volume estimation in healthy and multiple sclerosis subjects using crawlers and minimal paths Proceedings - 2011 1st Ieee International Conference On Healthcare Informatics, Imaging and Systems Biology, Hisb 2011. 25-31. DOI: 10.1109/HISB.2011.42 |
0.548 |
|
| 2010 |
McIntosh C, Hamarneh G. Evolutionary Deformable Models for Medical Image Segmentation: A Genetic Algorithm Approach to Optimizing Learned, Intuitive, and Localized Medial-Based Shape Deformation Genetic and Evolutionary Computation: Medical Applications. 46-67. DOI: 10.1002/9780470973134.ch4 |
0.571 |
|
| 2009 |
McIntosh C, Hamarneh G. Optimal weights for convex functionals in medical image segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5875: 1079-1088. DOI: 10.1007/978-3-642-10331-5_100 |
0.521 |
|
| 2007 |
McIntosh C, Hamarneh G. Is a single energy functional sufficient? Adaptive energy functionals and automatic initialization. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10: 503-10. PMID 18044606 |
0.544 |
|
| 2007 |
McIntosh C, Hamarneh G, Mori G. Human limb delineation and joint position recovery using localized boundary models 2007 Ieee Workshop On Motion and Video Computing, Wmvc 2007. DOI: 10.1109/WMVC.2007.18 |
0.502 |
|
| 2006 |
McIntosh C, Hamarneh G. Spinal crawlers: deformable organisms for spinal cord segmentation and analysis. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 808-15. PMID 17354965 |
0.545 |
|
| 2006 |
Mcintosh C, Hamarneh G. Vessel crawlers: 3D physically-based deformable organisms for vasculature segmentation and analysis Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 1084-1091. DOI: 10.1109/CVPR.2006.329 |
0.568 |
|
| 2005 |
Hamarneh G, Yang J, Mcintosh C, Langille M. 3D live-wire-based semi-automatic segmentation of medical images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5747: 1597-1603. DOI: 10.1117/12.596148 |
0.534 |
|
| 2005 |
Hamarneh G, McIntosh C. Physics-based deformable organisms for medical image analysis Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5747: 326-335. DOI: 10.1117/12.594856 |
0.578 |
|
| Show low-probability matches. |