派博傳思國際中心

標題: Titlebook: Biomedical Image Registration; 6th International Wo Sébastien Ourselin,Marc Modat Conference proceedings 2014 Springer International Publis [打印本頁]

作者: polysomnography    時間: 2025-3-21 16:25
書目名稱Biomedical Image Registration影響因子(影響力)




書目名稱Biomedical Image Registration影響因子(影響力)學(xué)科排名




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biomedical Image Registration被引頻次




書目名稱Biomedical Image Registration被引頻次學(xué)科排名




書目名稱Biomedical Image Registration年度引用




書目名稱Biomedical Image Registration年度引用學(xué)科排名




書目名稱Biomedical Image Registration讀者反饋




書目名稱Biomedical Image Registration讀者反饋學(xué)科排名





作者: Amenable    時間: 2025-3-21 20:36

作者: 音樂戲劇    時間: 2025-3-22 01:49

作者: echnic    時間: 2025-3-22 08:04

作者: 芭蕾舞女演員    時間: 2025-3-22 09:45
A Hierarchical Coarse-to-Fine Approach for Fundus Image Registrationening program, into 100 mosaics. Accuracy assessment by experienced clinical experts showed that 89 (out of 100) mosaics were either free of any noticeable misalignment or have a misalignment smaller than the width of the misaligned vessel.
作者: Colonnade    時間: 2025-3-22 12:53
Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstructsingle image. The framework can also incorporate motion compensated image reconstruction by iterating between model fitting and image reconstruction. This means it is possible to estimate both the motion and the motion compensated reconstruction just from the partial imaging data and a respiratory s
作者: 空洞    時間: 2025-3-22 20:18
Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariancesethods was evaluated on two publicly available image datasets, one of cerebral angiograms and the other of a spine cadaver, using standardized evaluation methodology. Results showed that the proposed method outperformed the current state-of-the-art methods and achieved registration accuracy of 0.5 m
作者: Middle-Ear    時間: 2025-3-22 21:15

作者: 鋼盔    時間: 2025-3-23 01:44
Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registrationn initialization and rely on the robustness of machine learning to the outliers and label updates via pyramidal deformable registration to gain better learning and predictions. In this sense, the proposed methodology has potential to be adapted in other learning problems as the manual labelling is u
作者: 領(lǐng)袖氣質(zhì)    時間: 2025-3-23 07:42
Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Strel MIND (mMIND) are here presented. The proposed registration technique estimates both rigid transformations and non-linear deformations both common in the optical microscopy volumes and time-sequences acquisition. The performance of our registration technique based on a novel multichannel image rep
作者: 生氣的邊緣    時間: 2025-3-23 09:44
Non-rigid Groupwise Image Registration for Motion Compensation in Quantitative MRIm, black-blood variable flip-angle .. mapping in the carotid artery region, and apparent diffusion coefficient (ADC) mapping in the abdomen. The method was compared to a conventional pairwise alignment that uses a mutual information similarity measure. Registration accuracy was evaluated by computin
作者: 強有力    時間: 2025-3-23 17:31

作者: 緊張過度    時間: 2025-3-23 20:49
https://doi.org/10.1057/9780230508439 a public dataset (CUMC12). Our proposed approach achieves a similar level of accuracy as other state-of-the-art methods but with processing times as short as 1.5 minutes. We also demonstrate preliminary qualitative results in the time-sensitive registration contexts of registering MR brain volumes
作者: troponins    時間: 2025-3-24 00:57

作者: Urgency    時間: 2025-3-24 03:12
Anuradha Sood,Tarun Sharma,Aradhna Sharmaggregation and a decomposition of similarity and regularisation term into two convex optimisation steps. This approach enables non-parametric registration with billions of degrees of freedom with computation times of less than a minute. We apply our method to two different common medical image regis
作者: 新娘    時間: 2025-3-24 07:29

作者: Flagging    時間: 2025-3-24 11:20

作者: 芳香一點    時間: 2025-3-24 16:10
https://doi.org/10.1007/978-3-030-60262-8ethods was evaluated on two publicly available image datasets, one of cerebral angiograms and the other of a spine cadaver, using standardized evaluation methodology. Results showed that the proposed method outperformed the current state-of-the-art methods and achieved registration accuracy of 0.5 m
作者: 低能兒    時間: 2025-3-24 20:25

作者: ostrish    時間: 2025-3-25 00:33
,In and Out of Cabinet, 1964–2002,n initialization and rely on the robustness of machine learning to the outliers and label updates via pyramidal deformable registration to gain better learning and predictions. In this sense, the proposed methodology has potential to be adapted in other learning problems as the manual labelling is u
作者: 直言不諱    時間: 2025-3-25 03:51

作者: NAG    時間: 2025-3-25 11:14

作者: 躲債    時間: 2025-3-25 13:17
0302-9743 n, UK, in July 2014..The 16 full papers and 8 poster papers included in this volume were carefully reviewed and selected from numerous submitted papers. The full papers are organized in the following topical sections: computational efficiency, model based regularisation, optimisation, reconstruction
作者: 人類的發(fā)源    時間: 2025-3-25 19:34

作者: 現(xiàn)暈光    時間: 2025-3-25 20:06

作者: 健談的人    時間: 2025-3-26 01:27

作者: 多余    時間: 2025-3-26 05:46

作者: 放縱    時間: 2025-3-26 10:30

作者: profligate    時間: 2025-3-26 14:02

作者: enumaerate    時間: 2025-3-26 17:58
0302-9743 s. The full papers are organized in the following topical sections: computational efficiency, model based regularisation, optimisation, reconstruction, interventional application and application specific measures of similarity..978-3-319-08553-1978-3-319-08554-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 攝取    時間: 2025-3-26 21:48
https://doi.org/10.1007/978-3-319-69447-4h qualitative and quantitative results demonstrated the potential feasibility and accuracy of the proposed approach. Its clinical applicability could improve the assessment of aortic total plaque burden from 3D TEE images.
作者: 燕麥    時間: 2025-3-27 04:10

作者: nitroglycerin    時間: 2025-3-27 08:41
Typical Country Patterns and Conclusions,urface assimilation method that estimates a new surface from the manual segmentation from a priori organ shape knowledge and the interobserver segmentation error. Our experiment results show the proposed method improves registration accuracy compared to previous methods.
作者: 忍耐    時間: 2025-3-27 11:18

作者: addict    時間: 2025-3-27 14:28
Labour Dilemmas and Labour Futuresstration error, which is also reflected by a lower .. estimation error. Finally, registration was applied to 46 clinical sequences to identify the average amount of motion found in this type of acquisition; this showed an estimated displacement of 0.98mm, which could lead to over 25% .. estimation error if motion were not corrected.
作者: bonnet    時間: 2025-3-27 19:03
Fast, Simple, Accurate Multi-atlas Segmentation of the Braine algorithm has been evaluated on a number of different cohorts which includes patients of different ages and scanner manufacturers, and has been shown to be robust. It is shown to have comparable accuracy to other state of the art methods using the MICCAI 2012 multi-atlas challenge benchmark, but the runtime is substantially less.
作者: 纖細    時間: 2025-3-27 22:11

作者: DEMUR    時間: 2025-3-28 04:36

作者: 新義    時間: 2025-3-28 07:11

作者: Contend    時間: 2025-3-28 13:57
https://doi.org/10.1007/978-3-319-69447-4sterior is approximated via Monte Carlo sampling or maximized in maximum a-posteriori (MAP) estimation. The framework is demonstrated in the case of landmark-based image registration, including simulated data and annotated pre and intra-operative 3D images.
作者: DEAWL    時間: 2025-3-28 16:12

作者: instulate    時間: 2025-3-28 22:38
Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quanth qualitative and quantitative results demonstrated the potential feasibility and accuracy of the proposed approach. Its clinical applicability could improve the assessment of aortic total plaque burden from 3D TEE images.
作者: 特征    時間: 2025-3-29 01:00
Biomedical Image Registration978-3-319-08554-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: nephritis    時間: 2025-3-29 04:00
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/188053.jpg
作者: 征服    時間: 2025-3-29 09:25
https://doi.org/10.1057/9780230379862om volumetric T1-weighted MRI images. A fully automatic multi-atlas registration based segmentation approach is used to label novel data. We use a standard affine registration method combined with a small deformation (non-diffeomorphic), non-linear registration method which optimises mutual informat
作者: 使隔離    時間: 2025-3-29 13:35

作者: Latency    時間: 2025-3-29 17:31

作者: SPER    時間: 2025-3-29 21:43
Typical Country Patterns and Conclusions,ty pretreatment fan-beam CT (FBCT) images. Assuming the organ segmentations are both available on CBCT and FBCT images, methods have been proposed to use them to help the intensity-driven image registration. Due to the low contrast between soft-tissue structures exhibited in CBCT, the interobserver
作者: 豐滿有漂亮    時間: 2025-3-30 00:18
Infection Prevention and Waste Disposalel was initialised by hand-labelling the constituent bones and joints of a single sample. A coarse alignment of the entire model mesh to a sample mesh was followed by consecutive registration of individual bones and their descendants down a hierarchy. Transformation parameters for subsequent bones w
作者: exclusice    時間: 2025-3-30 06:32

作者: 環(huán)形    時間: 2025-3-30 09:15
Delays Recognized in Maternal Mortalitysed, because of its favorable trade-off between smoothness and computational cost. Compared with the third-order B-splines, a B-spline function with a lower order has shorter support length, which means it is computationally more attractive. However, a lower-order function is seldom used to construc
作者: Acupressure    時間: 2025-3-30 13:52

作者: miracle    時間: 2025-3-30 20:23

作者: 善于    時間: 2025-3-30 21:44

作者: 概觀    時間: 2025-3-31 04:51

作者: photopsia    時間: 2025-3-31 08:45
https://doi.org/10.1007/978-3-030-60262-8f the fluorescence camera in MIS surgery, the anastomosis procedure becomes safer to avoid ischemia.We propose an Augmented Reality (AR) software that non-rigidly registers the ischemic map based on fluorescence signal on the live endoscopic sequence. The efficiency of the proposed system relies on
作者: 挖掘    時間: 2025-3-31 10:52
https://doi.org/10.1007/978-3-030-60262-8neficially fused with information-rich pre-operative 3D image information by means of 3D-2D image registration. To keep the radiation dose delivered by the X-ray system low, the intra-operative imaging is usually limited to a single projection view. Registration of 3D to a single 2D image is a very
作者: Psa617    時間: 2025-3-31 15:14

作者: 不能逃避    時間: 2025-3-31 20:20

作者: exclamation    時間: 2025-4-1 00:23

作者: 有助于    時間: 2025-4-1 03:31
https://doi.org/10.1007/978-1-349-27063-7cell growth in lungs is of great importance. The main challenges inherently linked with such data analysis are: local contrast changes related to tissue depth, lack of clear object boundaries due to the presence of noise, and cluttering with motion artefacts due to translational shift of the specime
作者: ANT    時間: 2025-4-1 05:59
Labour Worldwide in the Era of Globalizationor large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixel
作者: PACT    時間: 2025-4-1 10:55

作者: microscopic    時間: 2025-4-1 14:38

作者: Infant    時間: 2025-4-1 22:16
978-3-319-08553-1Springer International Publishing Switzerland 2014
作者: hyperuricemia    時間: 2025-4-1 23:20
Fast, Simple, Accurate Multi-atlas Segmentation of the Brainom volumetric T1-weighted MRI images. A fully automatic multi-atlas registration based segmentation approach is used to label novel data. We use a standard affine registration method combined with a small deformation (non-diffeomorphic), non-linear registration method which optimises mutual informat




歡迎光臨 派博傳思國際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
东乌珠穆沁旗| 罗田县| 玛多县| 苍南县| 微博| 阳春市| 鹰潭市| 化德县| 新龙县| 天气| 都昌县| 理塘县| 嵊泗县| 德惠市| 怀宁县| 尼木县| 清苑县| 桓仁| 长宁县| 百色市| 吉水县| 肇源县| 若羌县| 万盛区| 哈尔滨市| 宁德市| 石嘴山市| 南宁市| 宜黄县| 黄龙县| 乌兰浩特市| 丹凤县| 黔西| 临颍县| 称多县| 武功县| 兰西县| 铁岭市| 广西| 伊通| 府谷县|