Preface.- Workshop Organization.- Computer Aided Diagnosis and Intervention.- Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications, by Holger Roth, Jianhua Yao, Le, James Stieger, Joseph Burns, Ronald Summers.- Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis, by William Thong, Hubert Labelle, Jesse Shen, Stefan Parent, Samuel Kadoury.- An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans, by Jianfei Liu, Jackie Wu, FangFang Yin, John Kirkpatrick, Alvin Cabrera, Yaorong Ge.- Portable optically tracked ultrasound system for scoliosis measurement, by Guillermo Carbajal, Бlvaro Gуmez, Gabor Fichtinger, Tamas Ungi.- Spine Segmentation.- Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data, by Daniel Forsberg.- Segmentation of Lumbar Vertebrae Slices from CT Images, by Hugo Hutt, Richard Everson, Judith Meakin.- Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images, by Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Detailed Vertebral Segmentation using Part-Based Decomposition and Conditional Shape Models, by Marco Pereaсez, Karim Lekadir, Cornй Hoogendoorn, Isaac Castro Mateos, Alejandro Frangi.- MR Image Processing.- Automatic Segmentation of the Spinal Cord using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features, by Simon Pezold, Ketut Fundana, Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger, Philippe Cattin.- Automated Radiological Measurement of Spinal MRI, by Meelis Lootus, Timor Kadir, Andrew Zisserman.- Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Images, by Xiao Dong, Guoyan Zheng.- Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation, by Rabia Haq, Rifat Aras, Roderick Borgie, David Besachio, Michel Audette.- Localization.- Localisation of Vertebrae on DXA Images using Constrained Local Models with Random Forest Regression Voting, by Paul Bromiley, Judith Adams, Tim Cootes.- Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans, by Jiri Hladuvka, David Major, Katja Bьhler.- Modeling.- Area- and Angle-preserving Parametrization for Vertebra Surface Mesh, by Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazame.- Contour models for descriptive patient-specific neuro-anatomical modeling: towards a digital brainstem atlas, by Nirmal Patel, Sharmin Sultana, Michel Audette.- Segmentation Challenge.- Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae, by Daniel Forsberg.- Lumbar and thoracic spine segmentation using a statistical multi-object shape+pose model, by Alexander Seitel, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi.- Vertebrae Segmentation in 3D CT Images based on a Variational Framework, by Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler, Thomas Pock.- Interpolation-Based Shape-Constrained Deformable Model Approach for Segmentation of Vertebrae from CT Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo, Tomaz Vrtovec.- 3D Vertebra segmentation by feature selection Active Shape Model, by Isaac Castro Mateos, Jose Pozo Soler, Alejandro Frangi.- Report of Vertebra Segmentation Challenge in 2014 MICCAI Workshop on Computational Spine Imaging, by Jianhua Yao, Shuo Li.
Автор: Tsai Jeffrey J P & Ng Ka-Lok Название: Computational Methods With Applications In Bioinformatics Analysis ISBN: 9813207973 ISBN-13(EAN): 9789813207974 Издательство: World Scientific Publishing Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.
The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.
The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Описание: Preface.- Structural shear stress evaluation of triple periodic minimal surfaces, by H.A. Almeida, P.J. Bбrtolo.- On the numerical microstructural modeling of vascular tissues, by Estefania Peсa.- What exists in the scientific literature about biomechanical models in pelvic floor? - A systematic review, by Renato Andrade, Rui Viana, Sara Viana, Thuane da Roza, Teresa Mascarenhas, Renato Natal Jorge.- The impairment of female pelvic ligaments and its relation to pelvic floor dysfunction: biomechanical analysis, by Sofia Brandгo, Marco Parente, Ana Rita Silva, Thuane Da Roza, Teresa Mascarenhas, Isabel Ramos, Renato Natal Jorge.- Pelvic floor muscles behavior in practitioners of high and low impact sports, by Thuane Da Roza, Sofia Brandгo, Teresa Mascarenhas, Josй Alberto Duarte, Renato Natal Jorge.- Effects of a pelvic floor muscle training in nulliparous athletes with urinary incontinence: biomechanical models protocol, by M Sousa, R Viana, S Viana, T Da Roza, R Azevedo, M Araъjo, C Festas, T Mascarenhas, R Natal Jorge.- Biomechanical study of the cervical spine, by Tatiana Teixeira, Luнsa Costa Sousa, Renato Natal Jorge, Marco Parente, Joгo Maia Gonзalves, Rolando Freitas.- Injury simulation of anterior cruciate ligament using isogeometric analysis, by J.P.S. Ferreira, M.P.L. Parente, R.M. Natal Jorge.- Influence of flexing load position on the loading of cruciate ligaments at the knee - A graphics-based analysis, by A. Imran.- Modelling and simulation in orthopedic biomechanics - applications and limitations, by A. Imran.- One-dimensional modelling of the coronary circulation. Application to noninvasive quantification of fractional flow reserve (FFR), by Etienne Boileau, Perumal Nithiarasu.- Prediction of carotid hemodynamic descriptors based on ultrasound data and a neural network model, by Catarina F. Castro, Carlos Conceiзгo Antуnio, Luнsa Costa Sousa.- Computer image registration techniques applied to nuclear medicine image, by Raquel S. Alves, Joгo Manuel R.S. Tavares.- Segmentation and 3D Reconstruction of Animal Tissues in Histological Images, by Liliana Azevedo, Augusto M. R. Faustino, Joгo Manuel R. S. Tavares.- Ischemic region segmentation in rat heart photos using DRLSE algorithm, by Regina C. Coelho, Salety F. Baracho, Vinнcius V. de Melo, Carlos Marcelo G. de Godoy.- Pectoral and breast segmentation technique based on texture information, by Khamsa Djaroudib, Pascal Lorenz, Abdelmalik Taleb Ahmed, Abdelmadjid Zidani.- Statistical and physical micro-feature-based segmentation of cortical bone images using artificial intelligence, by Ilige S. Hage, Ramsey F. Hamade.- Human motion segmentation using active shape models, by Maria Joгo M. Vasconcelos, Joгo Manuel R. S. Tavares.- 3D Vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production, by Sandra R. Ventura, Diamantino R. Freitas, Isabel M. Ramos, Joгo Manuel R. S. Tavares.
Автор: Fei Gao; Kuangyu Shi; Shuo Li Название: Computational Methods for Molecular Imaging ISBN: 331918430X ISBN-13(EAN): 9783319184302 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part 1 - Computational Methods.- A Review of Computational Methods for Molecular Imaging, by Fei Gao, Pengcheng Shi.- Fuzzy Connectedness Image Co-Segmentation for Hybrid PET/MRI and PET/CT Scans, by Ziyue Xu, Ulas Bagci, Jayaram Udupa, Daniel Mollura.- PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI using Joint-Anisotropic Diffusion, by Kuangyu Shi, Xiaoyin Cheng, Nassir Navab, Stefan Foerster, Sibylle I. Ziegler.- Large Scale Simplex Optimisation to Accelerate Kinetic Analysis, by Nicholas Dowson, Paul Thomas, Jye Smith, Olivier Salvado, Stephen Rose.- Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction, by Shadi Albarqouni, Tobias Lasser, Weaam Alkhaldi, Ashraf Al-Amoudi, Nassir Navab.- Joint direct motion estimation/kinetic images reconstruction from gated PET data, by Alexandre Bousse, Jieqing Jiao, Kris Thielemans, Sebastien Ourselin, David Atkinson, Brian Hutton.- Effect of the Mouth Motion in the Attenuation Correction in Neurological PET Studies, by Joaquin Herraiz, Angel Torrado-Carvajal, Norberto Malpica, Juan Hernandez-Tamames.- Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging, by Jingjia Xu, Huafeng Liu, Pengcheng Shi, Fei Gao.- Time-Activity Curve based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction, by Xiaoyin Cheng, Jun Liu, Jakob Vogel, Zhen Liu, Nassir Navab, Sibylle Ziegler, Kuangyu Shi.- Part 2 - Clinical Applications.- 4-D PET-MR with Volumetric Navigators and Compressed Sensing, by Stefano Pedemonte, Ciprian Catana, Koen Van Leemput.- Robust Feature Selection to Predict Lung Tumor Recurrence Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan.- Region-based Data-driven Intensity Normalization for Group Comparison of Functional Brain Images, by Zhiyong Xie, Aijun Zhu, Laigao Chen, Timothy McCarthy.- A reaction-diffusion simulation model of 18F-FDG PET imaging for the quantitative interpretation of cancerous metabolism, by Qian Wang, Zhen Liu, Sibylle I. Ziegler, Kuangyu Shi.- Generation of MR-based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue from Single Short-TE MR Imaging Modality, by Anahita Fathi Kazerooni, Mohammad Hadi A'arabi, Hamidreza Saligheh Rad.- Query by Image of Brain SPECT Database, by David Wack, Feyza Erenler, Robert Miletich.- Age-related Glucose Metabolism Changes in Brain, by Xiaoyan Shen, Zhiliang Liu, Zhenghui Hu, Huafeng Liu.- Investigation of Single- Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer's Disease, by Liam Cattell, Julia Schnabel, Jerome Declerck, Chloe Hutton.
Описание: Offers an overview on results of a novel imaging modality based on magnetic nanoparticles.
Автор: Dua Sumeet Et Al Название: Computational Analysis Of The Human Eye With Applications ISBN: 9814340294 ISBN-13(EAN): 9789814340298 Издательство: World Scientific Publishing Рейтинг: Цена: 23760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advances in semi-automated high-throughput image data collection routines, coupled with a decline in storage costs and an increase in high-performance computing solutions have led to an exponential surge in data collected by biomedical scientists and medical practitioners. This book presents an array of image modeling algorithms and methodologies.
Описание: This monograph presents the latest developments and applications of computational tools related to the biosciences and medical engineering.
Автор: Radim Bris; Jaroslav Majernik; Krzysztof Pancerz; Название: Applications of Computational Intelligence in Biomedical Technology ISBN: 3319191462 ISBN-13(EAN): 9783319191461 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed.
Описание: Although cancer or malignant neoplasms recently have topped the list of causes of deaths in Japan, cardiovascular and cerebrovascular diseases bring about more deaths than cancer if they are reclassified into a unified category of diseases of the vascular system.
Автор: Igelnik & Zurada Название: Efficiency And Scalability Methods For Computational Intellect ISBN: 1466639423 ISBN-13(EAN): 9781466639423 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational modelling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. <em>Efficiency and Scalability Methods for Computational Intellect</em> presents various theories and methods for approaching the problem of modelling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.
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