Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data : Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings
This 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 r...
Auteurs principaux : | , |
---|---|
Format : | Livre |
Langue : | anglais |
Titre complet : | Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data : Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings / edited by Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer. |
Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2012 Cham : Springer Nature |
Collection : | Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7570 |
Accès en ligne : |
Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr |
Sujets : | |
Documents associés : | Autre format:
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data Autre format: Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data |
LEADER | 04802clm a2200709 4500 | ||
---|---|---|---|
001 | PPN168324830 | ||
003 | http://www.sudoc.fr/168324830 | ||
005 | 20241001155100.0 | ||
010 | |a 978-3-642-33555-6 | ||
017 | 7 | 0 | |a 10.1007/978-3-642-33555-6 |2 DOI |
035 | |a (OCoLC)818324024 | ||
035 | |a Springer978-3-642-33555-6 | ||
035 | |a Springer-11645-978-3-642-33555-6 | ||
100 | |a 20130325d2012 k y0frey0103 ba | ||
101 | 0 | |a eng |2 639-2 | |
102 | |a DE | ||
105 | |a ||||a 100yy | ||
106 | |a s | ||
135 | |a dr||||||||||| | ||
181 | |6 z01 |c txt |2 rdacontent | ||
181 | 1 | |6 z01 |a i# |b xxxe## | |
182 | |6 z01 |c c |2 rdamedia | ||
182 | 1 | |6 z01 |a b | |
183 | |6 z01 |a ceb |2 RDAfrCarrier | ||
200 | 1 | |a Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data |e Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings |f edited by Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer. | |
214 | 0 | |a Berlin, Heidelberg |c Springer Berlin Heidelberg | |
214 | 2 | |a Cham |c Springer Nature |d 2012 | |
225 | 0 | |a Image Processing, Computer Vision, Pattern Recognition, and Graphics |x 3004-9954 |v 7570 | |
330 | |a This 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. | ||
359 | 1 | |a Spatio-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. | |
371 | 0 | |a L'accès complet à la ressource est réservé aux usagers des établissements qui en ont fait l'acquisition | |
410 | | | |t Image Processing, Computer Vision, Pattern Recognition, and Graphics |x 3004-9954 |v 7570 | |
452 | | | |t Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data |y 9783642335549 | |
452 | | | |t Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data |b Texte imprimé |y 9783642335563 | |
608 | |3 PPN02886431X |a Actes de congrès |2 rameau | ||
610 | 1 | |a Computer Science | |
610 | 2 | |a Artificial Intelligence (incl. Robotics) | |
610 | 2 | |a Image Processing and Computer Vision | |
610 | 2 | |a Pattern Recognition | |
610 | 2 | |a Algorithm Analysis and Problem Complexity | |
610 | 2 | |a Imaging |a Radiology | |
610 | 2 | |a Computer Graphics | |
610 | 2 | |a Artificial Intelligence. | |
610 | 2 | |a Automated Pattern Recognition | |
610 | 1 | |a Computer Vision | |
610 | 2 | |a Algorithms | |
610 | 2 | |a Radiology | |
615 | |a @Computer Science |n 11645 |2 Springer | ||
676 | |a 006.6 |v 23 | ||
676 | |a 006.37 |v 23 | ||
680 | |a TA1637-1638 | ||
680 | |a TA1637-1638 | ||
700 | 1 | |3 PPN150299540 |a Durrleman |b Stanley |f 1980-.... |4 651 | |
701 | 1 | |a Gerig |b Guido |4 651 | |
801 | 3 | |a FR |b Abes |c 20231204 |g AFNOR | |
801 | 1 | |a DE |b Springer |c 20231204 |g AACR2 | |
856 | 4 | |5 441099901:830854991 |u https://budistant.univ-nantes.fr/login?url=https://doi.org/10.1007/978-3-642-33555-6 | |
915 | |5 441099901:830854991 |b SPRING13-00548 | ||
930 | |5 441099901:830854991 |b 441099901 |j g | ||
991 | |5 441099901:830854991 |a Exemplaire créé en masse par ITEM le 30-09-2024 16:12 | ||
997 | |a NUM |b SPRING13-00548 |d NUMpivo |e EM |s d | ||
998 | |a 978380 |