LEADER 05996nam 22007575 450 001 9910483393703321 005 20231206162332.0 010 $a3-319-13909-6 024 7 $a10.1007/978-3-319-13909-8 035 $a(CKB)3710000000325032 035 $a(SSID)ssj0001408210 035 $a(PQKBManifestationID)11773997 035 $a(PQKBTitleCode)TC0001408210 035 $a(PQKBWorkID)11346465 035 $a(PQKB)11208800 035 $a(DE-He213)978-3-319-13909-8 035 $a(MiAaPQ)EBC6300964 035 $a(MiAaPQ)EBC5587268 035 $a(Au-PeEL)EBL5587268 035 $a(OCoLC)899062812 035 $a(PPN)183152379 035 $a(EXLCZ)993710000000325032 100 $a20141208d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aClinical Image-Based Procedures. Translational Research in Medical Imaging $eThird International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers /$fedited by Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XII, 160 p. 72 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8680 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-13908-8 327 $aAn Open Source Multimodal Image-guided Prostate Biopsy Framework -- Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans -- Data-driven learning to detect characteristic kinetics in ultrasound images of arthritis -- COSMO - Coupled Shape Model for radiation therapy planning of head & neck cancer -- Automated Estimation of Aortic Intima-Media Thickness from Fetal Ultrasound -- Polyp Segmentation Method in Colonoscopy Videos by means of MSA-DOVA Energy Maps Calculation -- Generation of Patient-specific 3D Cardiac Chamber Models for Real-time Guidance in Cardiac Ablation Procedures -- Hierarchical shape mod ling of the cochlea and surrounding risk structures for minimally invasive cochlear implant Surgery -- Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block -- Confidence Weighted Local Phase Features for Robust Bone Surface Segmentation in Ultrasound -- Evaluation of Electromagnetic Tracking for Stereoscopic Augmented Reality Laparoscopic Visualization -- Automatic lung tumor segmentation with leaks removal in follow-up CT studies -- Patient Specific Simulation for Planning of Cochlear Implantation Surgery -- Weighted Partitioned Active Shape Model for Optic Pathway Segmentation -- Longitudinal Intensity Normalization in Multiple Sclerosis Patients -- Spatial-Temporal Image-Constrained Lung 4D-CT Reconstruction for Radiotherapy Planning -- Simultaneous Multi-Phase Coronary CT Angiography Analysis for Coronary Artery Disease Evaluation -- Ultrasound-based Predication of Prostate Cancer in MRI-guided Biopsy -- Applying An Active Contour Model for Pre-Operative Planning of Transapical Aortic Valve Replacement. 330 $aThis book constitutes revised selected papers from the Third International Workshop on Clinical Image-Based Procedures, CLIP 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014. The 19 papers presented in this volume were carefully reviewed and selected from 26 submissions.  New strategies are essential to ensure a smooth and effective translation of computational image-based techniques into the clinic. For these reasons CLIP 2014?s major focus is on translational research filling the gaps between basic science and clinical applications. A highlight of the workshop is the subject of strategies for personalized medicine to enhance diagnosis, treatment and interventions. Authors are encouraged to submit work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image data. Submissions related to applications already in use and evaluated by clinical users are particularly encouraged. The event will bring together world-class specialists to present ways to strengthen links between computer scientists and engineers, and clinicians. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8680 606 $aComputer vision 606 $aPattern recognition systems 606 $aMedical informatics 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aHealth Informatics 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aMedical informatics. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aHealth Informatics. 676 $a006.37 702 $aLinguraru$b Marius George$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOyarzun Laura$b Cristina$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShekhar$b Raj$c(Biomedical engineer),$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWesarg$b Stefan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGonzález Ballester$b Miguel Ángel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDrechsler$b Klaus$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSato$b Yoshinobu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aErdt$b Marius$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483393703321 996 $aClinical Image-Based Procedures. Translational Research in Medical Imaging$92596357 997 $aUNINA