Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps.

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Imaging in neuro-oncology.Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma

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P2860

Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps.

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http://www.wikidata.org/entity/Q36337934

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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name

Differentiation of pseudoprogr ...... ADC parametric response maps.

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Differentiation of pseudoprogr ...... ADC parametric response maps.

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Differentiation of pseudoprogr ...... ADC parametric response maps.

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Differentiation of pseudoprogr ...... ADC parametric response maps.

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Differentiation of pseudoprogr ...... ADC parametric response maps.

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Differentiation of pseudoprogr ...... ADC parametric response maps.

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P1476

Differentiation of pseudoprogr ...... ADC parametric response maps.

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P2093

Caroline Reimer

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Heinz-Peter Schlemmer

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Katerina Deike

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Markus Graf

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

Peter Reimer

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

Ralf Omar Floca

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P2860

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Pseudoprogression and pseudoresponse in the treatment of gliomas.

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e0174620

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scholarly article

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10.1371/JOURNAL.PONE.0174620

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English

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P478

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Wolfgang Wick

Philipp Kickingereder

Benedikt Wiestler

Martin Bendszus

Alexander Radbruch

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2017-04-06T00:00:00Z

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28384170

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5383222

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Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps.

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P2860

P2860

Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps.

description

name

type

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prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932