Peyton H. Bland
According to our database1,
Peyton H. Bland
authored at least 17 papers
between 1989 and 2010.
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Bibliography
2010
Construction of Abdominal Probabilistic Atlases and Their Value in Segmentation of Normal Organs in Abdominal CT Scans.
IEICE Trans. Inf. Syst., 2010
2009
Voxel-by-Voxel Functional Diffusion Mapping for Early Evaluation of Breast Cancer Treatment.
Proceedings of the Information Processing in Medical Imaging, 2009
2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs.
Proceedings of the Information Processing in Medical Imaging, 2007
2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
2003
Construction of an Abdominal Probabilistic Atlas and its Application in Segmentation.
IEEE Trans. Medical Imaging, 2003
IEEE Trans. Medical Imaging, 2003
1999
Probabilistic Brain Atlas Construction: Thin-Plate Spline Warping via Maximization of Mutual Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
1998
Evaluation of Control Point Selection in Automatic, Mutual Information Driven, 3D Warping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998
1997
Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations.
Medical Image Anal., 1997
1995
IEEE Trans. Medical Imaging, 1995
Proceedings of the Computer Vision, 1995
1989
Application of robust sequential edge detection and linking to boundaries of low contrast lesions in medical images.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989