Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution.

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Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis

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Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution.

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Preprocessing of 18F-DMFP-PET ...... and the Gaussian Distribution.

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Preprocessing of 18F-DMFP-PET ...... and the Gaussian Distribution.

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Preprocessing of 18F-DMFP-PET ...... and the Gaussian Distribution.

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Preprocessing of 18F-DMFP-PET ...... and the Gaussian Distribution.

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Preprocessing of 18F-DMFP-PET ...... and the Gaussian Distribution.

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Preprocessing of 18F-DMFP-PET ...... and the Gaussian Distribution.

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P1476

Preprocessing of 18F-DMFP-PET ...... and the Gaussian Distribution.

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P2093

Diego Salas-Gonzalez

http://www.w3.org/2001/XMLSchema#string

Fermín Segovia

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Javier Ramírez

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Juan M Górriz

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Reference cluster normalization improves detection of frontotemporal lobar degeneration by means of FDG-PET.

Striatal and extrastriatal microPET imaging of D2/D3 dopamine receptors in rat brain with [¹⁸F]fallypride and [¹⁸F]desmethoxyfallypride

Changes in network activity with the progression of Parkinson's disease.

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism

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326

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scholarly article

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10.3389/FNAGI.2017.00326

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P478

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Francisco J Martínez-Murcia

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2017-10-09T00:00:00Z

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29062277

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P932

5640782

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Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution.

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P2860

P2860

Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution.

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P1476

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P2860

P304

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P356

P478

P50

P577

P698

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P1476

P2093

P2860

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P31

P356

P478

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P577

P698

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