Year |
Citation |
Score |
2018 |
Raissi D, Han Q, Winkler M, Escott E. Procedural competency training during diagnostic radiology residency: Time to go beyond “See one, do one, teach one”! International Journal of Academic Medicine. 4: 50. DOI: 10.4103/IJAM.IJAM_70_17 |
0.306 |
|
2009 |
Han Q, Strup SE, Carswell MC, Clarke D, Seales WB. Model completion via deformation cloning based on an explicit global deformation model. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12: 1067-74. PMID 20426217 |
0.366 |
|
2009 |
Han Q, Strup SE, Carswell MC, Clarke D, Seales WB. Model completion via deformation cloning based on an explicit global deformation model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5762: 1067-1074. DOI: 10.1007/978-3-642-04271-3_129 |
0.363 |
|
2007 |
Han Q, Merck D, Levy J, Villarruel C, Damon JN, Chaney EL, Pizer SM. Geometrically proper models in statistical training. Information Processing in Medical Imaging : Proceedings of the ... Conference. 20: 751-62. PMID 17633745 |
0.731 |
|
2007 |
Foskey M, Gash A, Han Q, Tracton G, Joshi S, Pizer S, Chaney E. SU-FF-I-58: A Software Toolkit for Multi-Image Registration and Segmentation in IGRT and ART Medical Physics. 34: 2351-2351. DOI: 10.1118/1.2760435 |
0.617 |
|
2006 |
Han Q, Pizer SM, Damon JN. Interpolation in discrete single figure medial objects Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2006. DOI: 10.1109/CVPRW.2006.105 |
0.553 |
|
2005 |
Han Q, Pizer SM, Merck D, Joshi S, Jeong JY. Multi-figure anatomical objects for shape statistics. Information Processing in Medical Imaging : Proceedings of the ... Conference. 19: 701-12. PMID 17354737 |
0.728 |
|
2004 |
Chaney E, Pizer S, Joshi S, Broadhurst R, Fletcher T, Gash G, Han Q, Jeong J, Lu C, Merck D, Stough J, Tracton G. Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models International Journal of Radiation Oncology*Biology*Physics. 60: S153-S154. DOI: 10.1016/J.Ijrobp.2004.06.067 |
0.433 |
|
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