Peyton H. Bland - Concepedia

Author

Peyton H. Bland

Also Known As

P Bland, P H Bland, P. H. Bland, P.H. Bland, PEYTON BLAND, PEYTON H. BLAND, Peyton Bland, Peyton H Bland, Peyton H. Bland

Publications

5.3K

Citations

H-Index

Concepts

All Affiliations

University of Michigan Michigan Medicine University of Iowa University of Chicago Cornell University

About

Peyton H. Bland is an author at University of Michigan specializing in engineering, radiology, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	20	2.1K
2	Medicine	12	12	845
3	Health Sciences	9	9	936
4	Biomedical Engineering	4	4	776
5	Natural Sciences	1	1	330

Peyton H. Bland

Publications

5.2K

Citations

H-Index

Page 1

	Year	Citations
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans Samuel G. Armato, Geoffrey McLennan, Luc Bidaut, Medical Physics	2011	2.7K
Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations Charles R. Meyer, Jennifer L. Boes, Boklye Kim, Medical Image Analysis EngineeringMulti-image FusionBiomedical EngineeringImage AnalysisGeometric Deformations	1997	465
Construction of an abdominal probabilistic atlas and its application in segmentation Hyunjin Park, Peyton H. Bland, Chuck Meyer IEEE Transactions on Medical Imaging EngineeringStatistical Shape AnalysisAbdominal Probabilistic AtlasSurgeryDiagnostic Imaging	2003	330
Evaluation of cancer therapy using diffusion magnetic resonance imaging. Brian D. Ross, Bradford A. Moffat, Theodore S. Lawrence, PubMed Cancer TherapyNeuro-oncologyTumor ImagesEngineeringOncologic Imaging	2003	236
The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation Michael F. McNitt‐Gray, Samuel G. Armato, Charles R. Meyer, Academic Radiology Nodule DetectionData Collection ProcessMachine VisionImage AnalysisMedical Imaging	2007	219
Retrospective correction of intensity inhomogeneities in MRI Charles R. Meyer, Peyton H. Bland, James G. Pipe IEEE Transactions on Medical Imaging Computed TomographyEngineeringPet-mriSurface CoilsDiagnosis	1995	176
A Feasibility Study of Parametric Response Map Analysis of Diffusion-Weighted Magnetic Resonance Imaging Scans of Head and Neck Cancer Patients for Providing Early Detection of Therapeutic Efficacy Craig J. Galbán, Suresh K. Mukherji, Thomas L. Chenevert, Translational Oncology	2009	154
Motion correction in fMRI via registration of individual slices into an anatomical volume Boklye Kim, Jennifer L. Boes, Peyton H. Bland, Magnetic Resonance in Medicine	1999	140
Least Biased Target Selection in Probabilistic Atlas Construction Hyunjin Park, Peyton H. Bland, Alfred O. Hero, Lecture notes in computer science EngineeringData ScienceTarget SelectionProbabilistic AnalysisRandom Mapping	2005	83
Semiautomatic registration of volumetric ultrasound scans Charles R. Meyer, Jennifer L. Boes, Boklye Kim, Ultrasound in Medicine & Biology Gross AnatomyMedical UltrasoundSemiautomatic RegistrationEngineeringMedical Imaging	1999	81

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