標(biāo)題: Titlebook: Medical Computer Vision: Algorithms for Big Data; International Worksh Bjoern Menze,Georg Langs,Dimitris Metaxas Conference proceedings 201 [打印本頁(yè)] 作者: 強(qiáng)烈的愿望 時(shí)間: 2025-3-21 16:51
書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data影響因子(影響力)
書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data被引頻次
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書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data年度引用
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書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data讀者反饋
書(shū)目名稱(chēng)Medical Computer Vision: Algorithms for Big Data讀者反饋學(xué)科排名
作者: 形狀 時(shí)間: 2025-3-21 20:35 作者: aspect 時(shí)間: 2025-3-22 04:27 作者: dictator 時(shí)間: 2025-3-22 07:45 作者: BANAL 時(shí)間: 2025-3-22 10:54 作者: 過(guò)于平凡 時(shí)間: 2025-3-22 15:05
Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderlyimaging biomarkers of cognitive decline are crucial to identify, but few studies have investigated how sets of biomarkers cluster in terms of the information they provide. Here, we evaluated more than 700 frequently studied diffusion and anatomical measures in 247 elderly participants from the Alzhe作者: Metamorphosis 時(shí)間: 2025-3-22 20:44
Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosists prodromal stage, i.e., mild cognitive impairment (MCI). However, most existing multi-atlas based methods simply average or concatenate features generated from multiple atlases, which ignores the important underlying structure information of multi-atlas data. In this paper, we propose a novel rela作者: Asseverate 時(shí)間: 2025-3-23 00:37 作者: PANG 時(shí)間: 2025-3-23 05:27 作者: Ligneous 時(shí)間: 2025-3-23 06:44 作者: Bureaucracy 時(shí)間: 2025-3-23 11:40 作者: 牌帶來(lái) 時(shí)間: 2025-3-23 16:21 作者: dilute 時(shí)間: 2025-3-23 21:43 作者: FIG 時(shí)間: 2025-3-24 01:09
Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentationsstructures automatically and interactively. While they provide segmentations on a much larger scale than possible to achieve with expert annotators, they are typically less accurate than experts. We present and compare approaches to estimate segmentations on large imaging data sets based on a small 作者: opportune 時(shí)間: 2025-3-24 03:58 作者: ICLE 時(shí)間: 2025-3-24 08:15
Joint Feature-Sample Selection and Robust Classification for Parkinson’s Disease Diagnosischemical messenger in the brain impairs several brain regions and yields to various movement and non-motor symptoms. The incidence of PD is considered to be doubled in the next two decades and this urges more researches on its early diagnosis and treatment. In this paper, we propose an approach to d作者: 慎重 時(shí)間: 2025-3-24 13:01 作者: 去才蔑視 時(shí)間: 2025-3-24 16:14 作者: TIA742 時(shí)間: 2025-3-24 21:29
Psoas Major Muscle Segmentation Using Higher-Order Shape Priorground truth data prepared by a clinical expert, we validated the method where it achieved the Jaccard similarity coefficient (JSC) of 75.4?% (right major) and 77.5?% (left major). We also confirmed that the proposed method worked well for thick CT images.作者: 剝皮 時(shí)間: 2025-3-25 00:00
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentationints. A dynamic tree capturing the structural relationships between images is then used to further reduce misalignment errors. Validation on two real human brain datasets, ADNI and LPBA40, shows that our method significantly improves registration and segmentation accuracy.作者: 領(lǐng)帶 時(shí)間: 2025-3-25 03:24 作者: Relinquish 時(shí)間: 2025-3-25 07:53 作者: 白楊 時(shí)間: 2025-3-25 14:41 作者: 分貝 時(shí)間: 2025-3-25 17:13 作者: 約會(huì) 時(shí)間: 2025-3-25 21:21 作者: Torrid 時(shí)間: 2025-3-26 04:06
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brainsied to estimate the missing cortical thickness maps in a longitudinal infant dataset, which includes 31 healthy subjects, with each having up to 5 scans. The experimental results indicate that our method can accurately estimate missing cortical thickness maps, with the average vertex-wise error less than 0.23?mm.作者: Microaneurysm 時(shí)間: 2025-3-26 06:01 作者: 懶洋洋 時(shí)間: 2025-3-26 09:51
Joint Feature-Sample Selection and Robust Classification for Parkinson’s Disease Diagnosisa robust classification framework is proposed that can simultaneously de-noise the selected subset of features and samples, and learn a classification model. Our model can further de-noise the test samples based on the cleaned training data. Experimental results on both synthetic and a publicly available PD dataset show promising results.作者: irritation 時(shí)間: 2025-3-26 15:22 作者: 煩人 時(shí)間: 2025-3-26 17:25
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629131.jpg作者: ethnology 時(shí)間: 2025-3-26 23:46 作者: 分貝 時(shí)間: 2025-3-27 05:06
978-3-319-42015-8Springer International Publishing Switzerland 2016作者: SUE 時(shí)間: 2025-3-27 06:10
Medical Computer Vision: Algorithms for Big Data978-3-319-42016-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 窗簾等 時(shí)間: 2025-3-27 13:19 作者: Pillory 時(shí)間: 2025-3-27 14:37
Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosisects. Finally, we learn a classifier based on selected features in each atlas space, followed by an ensemble classification strategy to combine multiple classifiers for making a final decision. Experimental results on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database demonstrate that o作者: GROUP 時(shí)間: 2025-3-27 21:31 作者: NAV 時(shí)間: 2025-3-27 23:55
Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdtion. As for the structural information, we enhance the vasculature using a vesselness filter. Similar volumes in a training dataset with respect to the vasculature structure are selected and used for atlas generation. Using 150 cases of contrast-enhanced 3D abdominal CT volumes, our experiment impr作者: 神圣在玷污 時(shí)間: 2025-3-28 05:49
Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity tasks, and develop a class of algorithms to solve them efficiently. Experiments on parallel dynamic MRI datasets demonstrate that our proposed methods outperform the state-of-the-art parallel MRI reconstruction algorithms.作者: ostracize 時(shí)間: 2025-3-28 06:44 作者: 琺瑯 時(shí)間: 2025-3-28 11:35
Henning Müller,Bjoern Menze,Georg Langs,Albert Montillo,Michael Kelm,Shaoting Zhang,Weidong Cai,Dimie (CR) is violated..But in the particular case under consideration better properties can be obtained without supposing (CR). Especially in the case . = 1 (.∈}; ..), the functions ..(.) can be rearranged and partially redefined in such a way, that an analogous . representation holds. Then, all functi作者: Tempor 時(shí)間: 2025-3-28 14:49 作者: 殘忍 時(shí)間: 2025-3-28 22:07 作者: PARA 時(shí)間: 2025-3-29 01:33
Mingxia Liu,Daoqiang Zhang,Ehsan Adeli-Mosabbeb,Dinggang Shen作者: BABY 時(shí)間: 2025-3-29 03:28
Vasileios Zografos,Alexander Valentinitsch,Markus Rempfler,Federico Tombari,Bjoern Menze作者: Kindle 時(shí)間: 2025-3-29 07:45 作者: 翻布尋找 時(shí)間: 2025-3-29 12:16 作者: 迎合 時(shí)間: 2025-3-29 15:55 作者: fluoroscopy 時(shí)間: 2025-3-29 22:04
Yang Yu,Zhennan Yan,Li Feng,Dimitris Metaxas,Leon Axel作者: Nausea 時(shí)間: 2025-3-30 00:11
Markus Krenn,Matthias Dorfer,Oscar Alfonso Jiménez del Toro,Henning Müller,Bjoern Menze,Marc-André W作者: comely 時(shí)間: 2025-3-30 04:37
Tsutomu Inoue,Yoshiro Kitamura,Yuanzhong Li,Wataru Ito,Hiroshi Ishikawa作者: 蘑菇 時(shí)間: 2025-3-30 12:08 作者: obeisance 時(shí)間: 2025-3-30 15:53 作者: RAG 時(shí)間: 2025-3-30 20:32
