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_a9783642335556 _99783642335556 |
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024 | 7 |
_a10.1007/9783642335556 _2doi |
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_a201509031010 _bVLOAD _c201405070257 _dVLOAD _y201402201428 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aTA1637-1638 | |
100 | 1 |
_aDurrleman, Stanley. _eeditor. _9346025 |
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245 | 1 | 0 |
_aSpatio-temporal Image Analysis for Longitudinal and Time-Series Image Data : _bSecond International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings / _cedited by Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
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300 |
_ax, 163 páginas 73 ilustraciones _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7570 |
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500 | _aSpringer eBooks | ||
505 | 0 | _aSpatio-temporal Regularization for Longitudinal Registration to an Unbiased 3D Individual Template -- Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer’s Longitudinal Population Analysis -- Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences? -- Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration -- A New Framework for Analyzing Structural Volume Changes of Longitudinal Brain MRI Data -- 4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement -- Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy -- Unsupervised Learning of Shape Complexity: Application to Brain Development -- Spatio-temporal Analysis under Appearance Changes Spatial-temporal Pharmacokinetic Model Based Registration of 4D Brain PET Data -- Predicting the Location of Glioma Recurrence after a Resection Surgery -- Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling -- Spatio-temporal Analysis for Biology Motion-Based Segmentation for Cardiomyocyte Characterization -- Multi-temporal Globally-Optimal Dense 3-D Cell Segmentation and Tracking from Multi-photon Time-lapse Movies of Live Tissue Microenvironments. | |
520 | _aThis book constitutes the refereed proceedings of the Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, held in conjunction with MICCAI 2012 in Nice, France, in October 2012. The 13 papers presented in this volume were carefully reviewed and selected from 22 submissions. They are organized in topical sections named: longitudinal registration and transport; spatio-temporal analysis for shapes; spatio-temporal analysis under appearance changes; and spatio-temporal analysis for biology. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aFletcher, Tom. _eeditor. _9346026 |
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700 | 1 |
_aGerig, Guido. _eeditor. _9329728 |
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700 | 1 |
_aNiethammer, Marc. _eeditor. _9346027 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783642335549 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-33555-6 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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_c306680 _d306680 |