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Abdominal Imaging: Computational and Clinical Applications [[electronic resource] ] : Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Revised Selected Papers / / edited by Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru
Abdominal Imaging: Computational and Clinical Applications [[electronic resource] ] : Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Revised Selected Papers / / edited by Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XIV, 274 p. 148 illus.)
Disciplina 617.5/50754
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
User interfaces (Computer systems)
Computer graphics
Radiology
Image Processing and Computer Vision
Pattern Recognition
User Interfaces and Human Computer Interaction
Computer Graphics
Computer Imaging, Vision, Pattern Recognition and Graphics
Imaging / Radiology
Soggetto genere / forma Conference papers and proceedings.
ISBN 3-642-28557-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Virtual Colonoscopy and CAD Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography -- Dual-Energy Electronic Cleansing for Artifact-Free Visualization of the Colon in Fecal-Tagging CT Colonography -- Computer-Aided Polyp Detection for Laxative-Free CT Colonography -- Comparative Performance of Random Forest and Support Vector Machine Classifiers for Detection of Colorectal Lesions in CT Colonography -- Image-Enhanced Capsule Endoscopy Preserving the Original Color Tones -- 3D Non-rigid Motion Correction of Free-Breathing Abdominal DCE-MRI Data -- Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts -- Ensemble Detection of Colorectal Lesions for CT Colonography -- Automated Detection of Colorectal Lesions in Non-cathartic CT Colonography -- Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy -- Automated Detection and Diagnosis of Crohn’s Disease in CT Enterography -- Quantitative Evaluation of Lumbar Disc Herniation Based on MRI Image -- Liver Tumor Segmentation Using Kernel-Based FGCM and PGCM -- Abdominal Intervention Improving Diagnosis and Intervention: A Complete Approach for Registration of Liver CT Data -- Abdominal Images Non-rigid Registration Using Local-Affine Diffeomorphic Demons -- FIST: Fast Interactive Segmentation of Tumors -- Intraoperative Registration for Liver Tumor Ablation -- Sliding Geometries in Deformable Image Registration -- Simulation of Portal Vein Clamping and the Impact of Safety Margins for Liver Resection Planning -- Liver Segmentation in CT Images for Intervention Using a Graph-Cut Based Model -- Anatomical Feature-Guided Mutual Information Registration of Multimodal Prostate MRI -- Computational Abdominal Anatomy Abdominal Multi-organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations -- Organ Segmentation from 3D Abdominal CT Images Based on Atlas Selection and Graph -- Liver Segmental Anatomy and Analysis from Vessel and Tumor Segmentation via Optimized Graph Cuts -- Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts -- A Bayesian Framework for Estimating Respiratory Liver Motion from Sparse Measurements.-Semi–automated Subcutaneous and Visceral Adipose Tissue Quantification in Computed Tomography -- Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs -- Discontinuity Preserving Registration of Abdominal MR Images with Apparent Sliding Organ Motion -- Segmentation of Cervical Images by Inter-subject Registration with a Statistical Organ Model -- A New Method for Contour Determination of the Prostate in Ultrasound Images -- Analyses of Missing Organs in Abdominal Multi-Organ Segmentation -- Geometric Modelling of Patient-Specific Hepatic Structures Using Cubic Hermite Elements.
Record Nr. UNISA-996465932103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.)
Disciplina 616.8047548
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Machine learning
Mathematical statistics
Data mining
Image Processing and Computer Vision
Machine Learning
Probability and Statistics in Computer Science
Data Mining and Knowledge Discovery
ISBN 3-030-31901-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets.
Record Nr. UNISA-996466429903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Adolescent Brain Cognitive Development Neurocognitive Prediction : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Adolescent Brain Cognitive Development Neurocognitive Prediction : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.)
Disciplina 616.8047548
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Machine learning
Computer science - Mathematics
Mathematical statistics
Data mining
Computer Vision
Machine Learning
Probability and Statistics in Computer Science
Data Mining and Knowledge Discovery
ISBN 3-030-31901-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets.
Record Nr. UNINA-9910349275503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (IX, 85 p. 40 illus.)
Disciplina 616.07540285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Pattern recognition systems
Medical informatics
Computer graphics
Computer Vision
Automated Pattern Recognition
Health Informatics
Computer Graphics
ISBN 3-319-46472-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis -- Validation of an Improved Patient-Specific Mold Design for Registration of In-Vivo MRI and Histology of the Prostate -- Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion -- Uncertainty Quantification of Cochlear Implant Insertion from CT images -- Geodesic Registration for Cervical Cancer Radiotherapy -- Detection of Wrist Fractures in X-Ray Images -- Trajectory Smoothing for Guiding Aortic Valve Delivery with Transapical Access -- Stable Anatomical Structure Tracking for video-bronchoscopy Navigation -- An Automatic Free Fluid Detection for Morrison's-Pouch -- Towards a Statistical Shape-aware Deformable Contour Model for Cranial Nerve Identification.
Record Nr. UNISA-996465670003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 132 p. 58 illus.)
Disciplina 616.0754
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Pattern recognition systems
Medical informatics
Computer graphics
Computer Vision
Automated Pattern Recognition
Health Informatics
Computer Graphics
ISBN 3-319-31808-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Medical Imaging -- Translational Research -- Segmentation Registration -- Preoperative Planning -- Clinical Procedures -- Computational Modeling.
Record Nr. UNISA-996466047703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Clinical Image-Based Procedures. Translational Research in Medical Imaging : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru
Clinical Image-Based Procedures. Translational Research in Medical Imaging : 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers / / edited by Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 132 p. 58 illus.)
Disciplina 616.0754
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Pattern recognition systems
Medical informatics
Computer graphics
Computer Vision
Automated Pattern Recognition
Health Informatics
Computer Graphics
ISBN 3-319-31808-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Medical Imaging -- Translational Research -- Segmentation Registration -- Preoperative Planning -- Clinical Procedures -- Computational Modeling.
Record Nr. UNINA-9910484555403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical Image-Based Procedures. Translational Research in Medical Imaging : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura
Clinical Image-Based Procedures. Translational Research in Medical Imaging : 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (IX, 85 p. 40 illus.)
Disciplina 616.07540285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Pattern recognition systems
Medical informatics
Computer graphics
Computer Vision
Automated Pattern Recognition
Health Informatics
Computer Graphics
ISBN 3-319-46472-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis -- Validation of an Improved Patient-Specific Mold Design for Registration of In-Vivo MRI and Histology of the Prostate -- Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion -- Uncertainty Quantification of Cochlear Implant Insertion from CT images -- Geodesic Registration for Cervical Cancer Radiotherapy -- Detection of Wrist Fractures in X-Ray Images -- Trajectory Smoothing for Guiding Aortic Valve Delivery with Transapical Access -- Stable Anatomical Structure Tracking for video-bronchoscopy Navigation -- An Automatic Free Fluid Detection for Morrison's-Pouch -- Towards a Statistical Shape-aware Deformable Contour Model for Cranial Nerve Identification.
Record Nr. UNINA-9910484190803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Second International Workshop, CLIP 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Revised Selected Papers / / edited by Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel González Ballester, Klaus Drechsler
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Second International Workshop, CLIP 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Revised Selected Papers / / edited by Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Angel González Ballester, Klaus Drechsler
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (X, 162 p. 91 illus.) : online resource
Disciplina 006.6
006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Pattern recognition systems
Medical informatics
Computer Vision
Automated Pattern Recognition
Health Informatics
ISBN 3-319-05666-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates 1 -- Forming the Interface Between Doctor and Designing Engineer -- Image-based Bronchoscopy Navigation System Based on CT and C-Arm Fluoroscopy -- Path Planning for Multi-port Lateral Skull Base Surgery based on First Clinical Experiences -- On-line Lumen Centre Detection in Gastrointestinal and Respiratory Endoscopy -- Automatic Markov Random Field Segmentation of Susceptibility-Weighted MR Venography -- MR Enterography Image Fusion in Small Bowel Analysis -- Landmark-based Surgical Navigation -- Structure-guided Nonrigid Registration of CT{MR Pelvis Scans with Large Deformations in MR-based Image Guided Radiation Therapy -- Placement of External Ventricular Drains Using an Average Model -- Automated Kidney Detection and Segmentation in 3D Ultrasound -- Surgical Work ow Analysis, Design and Development of an Image-Based Navigation System for Endoscopic Interventions -- Automatic Optimization of Depth Electrode Trajectory Planning -- Towards A Clinical Stereoscopic Augmented Reality System for Laparoscopic Surgery -- Automatic Detection of Misalignment in Rigid 3D-2D Registration -- Prototype Design and Phantom Evaluation of a Device for Co-Registered MRI/TRUS Imaging of the Prostate -- Modelling Smooth Intensity Changes in the Putamen for Diagnosis of Sporadic Creutzfeldt-Jakob Disease -- Inter-slice Correspondence for 2D Ultrasound-guided Procedures -- First Clinical Experience with BMD Assessment in Vertebrae Using Dual-energy CT.
Record Nr. UNISA-996203274403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers / / edited by Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt
Clinical Image-Based Procedures. Translational Research in Medical Imaging [[electronic resource] ] : Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers / / edited by Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XII, 160 p. 72 illus.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Pattern recognition systems
Medical informatics
Computer Vision
Automated Pattern Recognition
Health Informatics
ISBN 3-319-13909-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An 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.
Record Nr. UNISA-996211264703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Clinical Image-Based Procedures. Translational Research in Medical Imaging : Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers / / edited by Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt
Clinical Image-Based Procedures. Translational Research in Medical Imaging : Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers / / edited by Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Klaus Drechsler, Yoshinobu Sato, Marius Erdt
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XII, 160 p. 72 illus.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Pattern recognition systems
Medical informatics
Computer Vision
Automated Pattern Recognition
Health Informatics
ISBN 3-319-13909-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An 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.
Record Nr. UNINA-9910483393703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui