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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Standing on the shoulders of giants: improving medical image segmentation via bias correctionHongzhi Wang, Sandhitsu Das, John Pluta, et al.Neuroimage|November 15, 2007
Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry studyJunghoon Kim, Brian Avants, Sunil Patel, et al.Neuroimage|January 18, 2011
A learning-based wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentationHongzhi Wang, Sandhitsu R Das, Jung Wook Suh, et al.Neuroimage|February 7, 2009
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registrationArno Klein, Jesper Andersson, Babak A Ardekani, et al.Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 20, 2018
Impact of Reference and Target Region Selection on Amyloid PET SUV Ratios in the Phase 1b PRIME Study of AducanumabPing Chiao, Barry J Bedell, Brian Avants, et al.Neuroimage. Clinical|August 20, 2015
Predicting the laterality of temporal lobe epilepsy from PET, MRI, and DTI: A multimodal studyDorian Pustina, Brian Avants, Michael Sperling, et al.Biostatistics (Oxford, England)|January 12, 2018
Neuroconductor: an R platform for medical imaging analysisJohn Muschelli, Adrian Gherman, Jean-Philippe Fortin, et al.Academic Radiology|November 1, 2003
Characterization of regional pulmonary mechanics from serial magnetic resonance imaging dataJames Gee, Tessa Sundaram, Ichiro Hasegawa, et al.Journal of Healthcare Engineering|October 26, 2017
Multimodal Image Alignment via Linear Mapping between Feature ModalitiesYanyun Jiang, Yuanjie Zheng, Sujuan Hou, et al.European Journal of Radiology|October 2, 2007
MR microscopy of the lung in small rodentsMasaya Takahashi, Shigeto Kubo, Shigeru Kiryu, et al.Pageof 13