John A. Onofrey, Ph.D.

Affiliations: 
2013 Yale University, New Haven, CT 
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"John Onofrey"

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Xenophon Papademetris grad student 2013 Yale
 (Learning Statistical Deformation Models for Image Registration.)
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Boutagy NE, Ravera S, Papademetris X, et al. (2019) Noninvasive In Vivo Quantification of Adeno-Associated Virus Serotype 9-Mediated Expression of the Sodium/Iodide Symporter Under Hindlimb Ischemia and Neuraminidase Desialylation in Skeletal Muscle Using Single-Photon Emission Computed Tomography/Computed Tomography. Circulation. Cardiovascular Imaging. 12: e009063
Onofrey JA, Staib LH, Papademetris X. (2018) Segmenting the Brain Surface from CT Images with Artifacts Using Locally-Oriented Appearance and Dictionary Learning. Ieee Transactions On Medical Imaging
Onofrey JA, Staib LH, Sarkar S, et al. (2017) Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention. Medical Image Analysis. 39: 29-43
Onofrey JA, Staib LH, Papademetris X. (2016) Learning intervention-induced deformations for non-rigid MR-CT registration and electrode localization in epilepsy patients. Neuroimage. Clinical. 10: 291-301
Onofrey JA, Staib LH, Sarkar S, et al. (2015) LEARNING NONRIGID DEFORMATIONS FOR CONSTRAINED POINT-BASED REGISTRATION FOR IMAGE-GUIDED MR-TRUS PROSTATE INTERVENTION. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2015: 1592-1595
Onofrey JA, Staib LH, Papademetris X. (2015) Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 662-74
Onofrey JA, Papademetris X, Staib LH. (2015) Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data. Ieee Transactions On Medical Imaging. 34: 1522-1532
Onofrey JA, Papademetris X, Staib LH. (2015) Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data Ieee Transactions On Medical Imaging. 34: 1522-1532
Ren S, Huang S, Onofrey J, et al. (2015) A scalable algorithm for structured kernel feature selection Journal of Machine Learning Research. 38: 781-789
Onofrey JA, Staib LH, Papademetris X. (2014) Semi-supervised learning of nonrigid deformations for image registration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8331: 13-23
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