000 01820 a2200589 4500
005 20250516185018.0
264 0 _c20141022
008 201410s 0 0 eng d
022 _a1432-1920
024 7 _a10.1007/s00234-013-1308-9
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aDurst, Christopher R
245 0 0 _aMultimodal MR imaging model to predict tumor infiltration in patients with gliomas.
_h[electronic resource]
260 _bNeuroradiology
_cFeb 2014
300 _a107-15 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAdult
650 0 4 _aAged
650 0 4 _aAlgorithms
650 0 4 _aBrain Neoplasms
_xpathology
650 0 4 _aComputer Simulation
650 0 4 _aFemale
650 0 4 _aGlioma
_xpathology
650 0 4 _aHumans
650 0 4 _aImage Enhancement
_xmethods
650 0 4 _aImage Interpretation, Computer-Assisted
_xmethods
650 0 4 _aMagnetic Resonance Imaging
_xmethods
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aModels, Statistical
650 0 4 _aMultimodal Imaging
_xmethods
650 0 4 _aNeoplasm Invasiveness
650 0 4 _aPilot Projects
650 0 4 _aReproducibility of Results
650 0 4 _aSensitivity and Specificity
650 0 4 _aYoung Adult
700 1 _aRaghavan, Prashant
700 1 _aShaffrey, Mark E
700 1 _aSchiff, David
700 1 _aLopes, M Beatriz
700 1 _aSheehan, Jason P
700 1 _aTustison, Nicholas J
700 1 _aPatrie, James T
700 1 _aXin, Wenjun
700 1 _aElias, W Jeff
700 1 _aLiu, Kenneth C
700 1 _aHelm, Greg A
700 1 _aCupino, A
700 1 _aWintermark, Max
773 0 _tNeuroradiology
_gvol. 56
_gno. 2
_gp. 107-15
856 4 0 _uhttps://doi.org/10.1007/s00234-013-1308-9
_zAvailable from publisher's website
999 _c23366666
_d23366666