標(biāo)題: Titlebook: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging; Jianhua Yao,Ben Glocker,Shuo Li Book 2015 Springer I [打印本頁(yè)] 作者: 撒謊 時(shí)間: 2025-3-21 18:47
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging影響因子(影響力)
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging影響因子(影響力)學(xué)科排名
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging網(wǎng)絡(luò)公開度
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging被引頻次
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging被引頻次學(xué)科排名
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging年度引用
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging年度引用學(xué)科排名
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging讀者反饋
書目名稱Recent Advances in Computational Methods and Clinical Applications for Spine Imaging讀者反饋學(xué)科排名
作者: Hallowed 時(shí)間: 2025-3-21 21:48 作者: hemophilia 時(shí)間: 2025-3-22 01:17 作者: 手工藝品 時(shí)間: 2025-3-22 06:41 作者: PSA-velocity 時(shí)間: 2025-3-22 10:32
Jianhua Yao,Ben Glocker,Shuo LiSummarizes the most recent advances in spine imaging and its clinical application.Addresses spinal disease which is common and causes a huge burden of morbidity and cost to society.Guides the reader t作者: A保存的 時(shí)間: 2025-3-22 16:28
Lecture Notes in Computational Vision and Biomechanicshttp://image.papertrans.cn/r/image/822662.jpg作者: 表主動(dòng) 時(shí)間: 2025-3-22 18:00 作者: 做作 時(shí)間: 2025-3-22 23:23 作者: magenta 時(shí)間: 2025-3-23 03:14
Recent Advances in Computational Methods and Clinical Applications for Spine Imaging978-3-319-14148-0Series ISSN 2212-9391 Series E-ISSN 2212-9413 作者: Feckless 時(shí)間: 2025-3-23 06:45
Segmentation of Lumbar Vertebrae Slices from CT Imagesndom field model incorporating constraints learned from labelled superpixel features. The method is shown to provide consistently accurate segmentations of different vertebrae from a variety of subjects.作者: Obstacle 時(shí)間: 2025-3-23 12:51 作者: Conduit 時(shí)間: 2025-3-23 17:54
for Climate, Environment and Energy, as a Member of the Bundestag, as Chair of its Environment Committee and as Dean of the Bren School for Environmental Science and Management, Univ. of California, Santa Barbara, USA.978-3-319-03661-8978-3-319-03662-5Series ISSN 2194-3125 Series E-ISSN 2194-3133 作者: 厭惡 時(shí)間: 2025-3-23 18:22
Holger R. Roth,Jianhua Yao,Le Lu,James Stieger,Joseph E. Burns,Ronald M. Summers for Climate, Environment and Energy, as a Member of the Bundestag, as Chair of its Environment Committee and as Dean of the Bren School for Environmental Science and Management, Univ. of California, Santa Barbara, USA.978-3-319-03661-8978-3-319-03662-5Series ISSN 2194-3125 Series E-ISSN 2194-3133 作者: Lasting 時(shí)間: 2025-3-24 00:07
William E. Thong,Hubert Labelle,Jesse Shen,Stefan Parent,Samuel Kadoury for Climate, Environment and Energy, as a Member of the Bundestag, as Chair of its Environment Committee and as Dean of the Bren School for Environmental Science and Management, Univ. of California, Santa Barbara, USA.978-3-319-03661-8978-3-319-03662-5Series ISSN 2194-3125 Series E-ISSN 2194-3133 作者: deadlock 時(shí)間: 2025-3-24 03:52 作者: 衰弱的心 時(shí)間: 2025-3-24 06:58 作者: 劇毒 時(shí)間: 2025-3-24 13:07
Bulat Ibragimov,Robert Korez,Bo?tjan Likar,Franjo Pernu?,Toma? Vrtovec作者: hazard 時(shí)間: 2025-3-24 15:49 作者: 反省 時(shí)間: 2025-3-24 20:43
Marco Perea?ez,Karim Lekadir,Corné Hoogendoorn,Isaac Castro-Mateos ,Alejandro Frangi作者: cancellous-bone 時(shí)間: 2025-3-25 00:20
Simon Pezold,Ketut Fundana,Michael Amann,Michaela Andelova,Armanda Pfister,Till Sprenger ,Philippe C作者: 不愿 時(shí)間: 2025-3-25 06:31 作者: 斜 時(shí)間: 2025-3-25 10:09 作者: 季雨 時(shí)間: 2025-3-25 11:41 作者: Obsequious 時(shí)間: 2025-3-25 15:50
An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plansn constructed by importing optical flow vectors and dose values into the principal component analysis. To develop the predictive model for a group, we also build active shape model (ASM) of tumor contours near the spinal cords. The correlation between ASM and AOFM is estimated via the multiple regre作者: Impugn 時(shí)間: 2025-3-25 22:17 作者: ACE-inhibitor 時(shí)間: 2025-3-26 01:07 作者: abnegate 時(shí)間: 2025-3-26 05:15
Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Disnd weight loads and Meshless-Mechanics (MM)-based cutting using Simulation Open Framework Architecture (SOFA). The surface-mesh based segmentation method is part of a processing pipeline for anatomical modeling to support interactive surgery simulation. Segmentation results were validated against ex作者: 音樂學(xué)者 時(shí)間: 2025-3-26 09:41 作者: STYX 時(shí)間: 2025-3-26 13:07 作者: Mere僅僅 時(shí)間: 2025-3-26 19:32 作者: 的’ 時(shí)間: 2025-3-27 00:26
An Active Optical Flow Model for Dose Prediction in Spinal SBRT Planseatment plans that maximally protect spinal cord while effectively controlling surrounding tumors. Spinal cord dose distribution is primarily affected by the shapes of tumor boundaries near the organ. In this work, we estimate such boundary effects and predict dose distribution by exploring an activ作者: Perigee 時(shí)間: 2025-3-27 03:14 作者: doxazosin 時(shí)間: 2025-3-27 06:07
Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data atlas-based registration for achieving an accurate segmentation of the thoracic and the lumbar vertebrae in the spine as imaged by computed tomography. The method has been evaluated on ten data sets provided as a part of the segmentation challenge hosted by the 2nd MICCAI workshop on Computational 作者: 揭穿真相 時(shí)間: 2025-3-27 11:15
Segmentation of Lumbar Vertebrae Slices from CT Imagesndom field model incorporating constraints learned from labelled superpixel features. The method is shown to provide consistently accurate segmentations of different vertebrae from a variety of subjects.作者: 微粒 時(shí)間: 2025-3-27 17:01 作者: overrule 時(shí)間: 2025-3-27 20:47
An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Immical complexity and articulation of spinal structures, as well as due to image spatial resolution, inhomogeneity and low signal-to-noise ratio. In this paper, we describe an improved framework for vertebra segmentation that is based on an existing shape-constrained deformable model, which was modif作者: 不如樂死去 時(shí)間: 2025-3-28 00:51 作者: considerable 時(shí)間: 2025-3-28 02:34
Automatic Segmentation of the Spinal Cord Using Continuous Max Flow with Cross-sectional Similarity ation-specific segmentation techniques have been proposed in the literature, but only few of them are fully automatic and even fewer approaches maintain a convex formulation. In this paper, we show how to integrate a cross-sectional similarity prior into the convex continuous max-flow framework that作者: Cerebrovascular 時(shí)間: 2025-3-28 08:46
Automated Radiological Grading of Spinal MRI2 MRI scans. It involves detecting and labeling all the vertebrae in the scan and then learning a regression from the disc region to the grading. In developing the regression function we investigate a spectrum of support regions which involve differing degrees of segmentation of the scan: our intent作者: Muscularis 時(shí)間: 2025-3-28 10:31
Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Setshe geometrical parameters of all lumbar vertebral bodies and intervertebral discs are automatically extracted from a mid-sagittal slice using a graphical model based approach. After that, a three-dimensional (3D) variable-radius soft tube model of the lumbar spine column is built to guide the 3D dis作者: Endemic 時(shí)間: 2025-3-28 14:59
Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Dised in simplex mesh active surface models. An ellipsoidal simplex template mesh was initialized within the disc image boundary through affine landmark-based registration, and was allowed to deform according to image gradient forces. Coarse-to-fine multi-resolution approach was adopted in conjunction 作者: 邊緣 時(shí)間: 2025-3-28 21:12
Localisation of Vertebrae on DXA Images Using Constrained Local Models with Random Forest Regressionny osteoporotic vertebral fractures present on images do not come to clinical attention or lead to preventative treatment. Furthermore, vertebral fracture assessment (VFA) typically depends on subjective judgement by a radiologist. The potential utility of computer-aided VFA systems is therefore con作者: 一個(gè)姐姐 時(shí)間: 2025-3-29 02:16 作者: 褻瀆 時(shí)間: 2025-3-29 04:46 作者: 你正派 時(shí)間: 2025-3-29 08:18 作者: 銼屑 時(shí)間: 2025-3-29 11:38 作者: 令人作嘔 時(shí)間: 2025-3-29 16:38
Book 2015rkshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applic作者: 連累 時(shí)間: 2025-3-29 21:35
Book 2015image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop..作者: 陳腐思想 時(shí)間: 2025-3-30 02:20 作者: 小蟲 時(shí)間: 2025-3-30 05:50 作者: 吃掉 時(shí)間: 2025-3-30 09:32 作者: jocular 時(shí)間: 2025-3-30 15:34
Localisation of Vertebrae on DXA Images Using Constrained Local Models with Random Forest Regressionained Local Models (RFRV-CLMs) for this task and show that, while they lead to slightly poorer median errors than AAMs, they are much more robust, reducing the proportion of fit failures by 68?%. They are thus more suitable for use in computer-aided VFA systems.作者: 巧辦法 時(shí)間: 2025-3-30 19:39
Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans1.5 and 0.4?s are reported on a single core. Due to its slice-wise nature, the method can be easily parallelized and fractions of the reported runtimes can be further achieved. Our memory requirements are upper bounded by a single CT slice.作者: 增長(zhǎng) 時(shí)間: 2025-3-30 23:54 作者: certitude 時(shí)間: 2025-3-31 03:25
Automated Radiological Grading of Spinal MRI a heterogeneous clinical dataset containing 1,710 Pfirrmann-graded discs, from 285 symptomatic back pain patients. We are able to predict the grade to . precision at 85.8?% accuracy. Our novel method proposes new image features that outperform previous features and utilizes techniques to improve robustness to MR imaging variations.
