標題: Titlebook: Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017; 20th International C Maxime Descoteaux,Lena Maier-Hein,Simon Duch [打印本頁] 作者: 文化修養(yǎng) 時間: 2025-3-21 16:38
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017影響因子(影響力)
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017影響因子(影響力)學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017網(wǎng)絡公開度
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017網(wǎng)絡公開度學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017被引頻次
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017被引頻次學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017年度引用
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017年度引用學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017讀者反饋
書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017讀者反饋學科排名
作者: 小故事 時間: 2025-3-22 00:03 作者: Palter 時間: 2025-3-22 02:56 作者: aneurysm 時間: 2025-3-22 08:06 作者: BARB 時間: 2025-3-22 10:59
Yang Song,Hang Chang,Heng Huang,Weidong Caien” genügt, die ihm der Rezeptor vorgibt, um so spezifischer ist die Bindung. Vereinfacht dargestellt, mu? ein Ineinanderpassen von Ligand und Rezeptor, ?hnlich dem Schlüssel-Schlo?-Prinzip vorliegen, bevor eine Wirkung ausgel?st werden kann. Die Affinit?t eines Opioids ist dann um so gr??er, je bes作者: 季雨 時間: 2025-3-22 13:21
Xinwei Sun,Lingjing Hu,Yuan Yao,Yizhou Wangi einem Myokardinfarkt ein gesteigerter Sympathikustonus ein Kammerflimmern ausl?sen kann. Weiterhin mu? ein neurohumural bedingter Verlust der alveolokapill?ren Integrit?t mit Stauung und Flüssigkeitsansammlung und einer daraus resultierenden Complianceabnahme der Lunge bedacht werden, wenn Verletz作者: 一再困擾 時間: 2025-3-22 17:45
Gabriele Abbati,Stefan Bauer,Sebastian Winklhofer,Peter J. Schüffler,Ulrike Held,Jakob M. Burgstalleorgesehen sind [226]. Im weiteren Verlauf der Schmerzleitung sind Opiatrezeptoren in den verschiedensten h?heren Schaltstellen und Hirnnervenkernen anzutreffen, wodurch die ausgesprochene Wirkeffektivit?t der Opioide erkl?rlich wird [48, 106, 148, 194, 195, 226, 270]. So sind Opiatbindestellen beson作者: Ingrained 時間: 2025-3-22 22:27
Sebastian J. Wirkert,Anant S. Vemuri,Hannes G. Kenngott,Sara Moccia,Michael G?tz,Benjamin F. B. Mayemental limit of light known as the di?raction limit. However, there was a growing awareness among scientists and engineers that this limit can be overcome using optical near ?elds. Since a drastic paradigm shift in the c- cepts of optics is required to understand the intrinsic nature of optical near作者: padding 時間: 2025-3-23 05:26
Medical Image Computing and Computer Assisted Intervention ? MICCAI 201720th International C作者: Indent 時間: 2025-3-23 07:03 作者: LURE 時間: 2025-3-23 12:25
Li Zhang,Dana Cobzas,Alan Wilman,Linglong Kong komplett aktualisierten 6. Auflage:?Schmerz, Geschlecht und Opioidwirkung, Bewertung transdermaler Applikationstechniken, Therapie opioidbedingter Nebenwirkungen, Opioidanwendung bei S?uglingen und alten Mensc978-3-662-09096-1作者: MAUVE 時間: 2025-3-23 14:58 作者: 整潔 時間: 2025-3-23 21:33 作者: 入伍儀式 時間: 2025-3-24 02:08
Mingliang Wang,Xiaoke Hao,Jiashuang Huang,Kangcheng Wang,Xijia Xu,Daoqiang Zhang作者: 杠桿支點 時間: 2025-3-24 02:53 作者: Flatter 時間: 2025-3-24 07:56 作者: 換話題 時間: 2025-3-24 13:04
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Statuss in a data-driven manner, and then extract multiple image patches around these detected landmarks. A deep multi-task multi-channel convolutional neural network is then developed for joint disease classification and clinical score regression. We train our model on a large multi-center cohort (., ADN作者: exquisite 時間: 2025-3-24 18:17
Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease classifiers. Finally, we adopt an ensemble strategy to combine outputs of all SVM classifiers to achieve the final decision. Our method has been evaluated on 46 subjects, and the superior classification results demonstrate the effectiveness of our proposed method as compared to other methods.作者: HIKE 時間: 2025-3-24 22:39
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Daeature selection in an unified formulation, thus alleviating the modality heterogeneity issue and making all the samples comparable to share a common classifier in the RKHS. The resulting classifier obviously captures the nonlinear data-to-label relationship. We have tested our method using MRI and 作者: arterioles 時間: 2025-3-25 02:35
GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction experiments have been evaluated on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. The advantage of proposed model is verified by improved stability of selected lesion features and better classification results.作者: ATRIA 時間: 2025-3-25 05:17
Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis ofes of 206 early parkinsonian patients has confirmed differential patterns on the visualized feature images using the proposed method. Computer-aided diagnosis based on multi-class support vector machine (SVM) shown improved diagnostic accuracy of Parkinsonism using the tensor-factorized feature imag作者: 墊子 時間: 2025-3-25 10:19 作者: PARA 時間: 2025-3-25 13:06 作者: 甜得發(fā)膩 時間: 2025-3-25 17:34 作者: CUMB 時間: 2025-3-25 21:21 作者: 遣返回國 時間: 2025-3-26 03:54
Latent Processes Governing Neuroanatomical Change in Aging and Dementia a proxy for dementia. Our results reveal cross-sectional and longitudinal patterns of change in neuroanatomy that distinguishes aging processes from disease processes. Finally, latent processes do not only yield a parsimonious model but also a significantly improved prediction accuracy.作者: Maximizer 時間: 2025-3-26 07:42 作者: gruelling 時間: 2025-3-26 12:14 作者: 冰雹 時間: 2025-3-26 13:26
Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotattext feature representations, and introduce a method for this purpose based on computing the energies of the spherical harmonic decompositions computed at different frequencies and radii. We test our method on full 3D multi-parameter MRI volumes from 47 patients with HCC and achieve promising results.作者: adumbrate 時間: 2025-3-26 18:20 作者: 史前 時間: 2025-3-26 21:12 作者: abnegate 時間: 2025-3-27 01:53 作者: Gratuitous 時間: 2025-3-27 07:59
Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volspecially affecting small lesions can be modeled, thus yielding improved lesion segmentation. The proposed method is tested on multiple MR image sequences including 3D MP2RAGE, 3D FLAIR, and 3D DIR. Quantitative evaluation is done by comparison with manual segmentations on a cohort of 39 multiple sclerosis early-stage patients.作者: 甜瓜 時間: 2025-3-27 10:01
0302-9743 tional Conference on Medical Image?Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017..The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process.?The papers have been organized i作者: Immobilize 時間: 2025-3-27 15:27 作者: AER 時間: 2025-3-27 20:47
Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detectioning component means, principal directions, and variances, for abnormality detection in images. The results on 4 large publicly available datasets, involving retinopathy and cancer, show that our method outperforms the state of the art.作者: Schlemms-Canal 時間: 2025-3-28 00:40
Unsupervised Feature Learning for Endomicroscopy Image Retrievalty between pCLE and histology images. Experiments on a database with 700 pCLE mosaics demonstrate that the proposed method outperforms previous works on pCLE feature learning. Specially, the top-1 accuracy in an eight-class retrieval task is 0.659 which leads to 10% improvement compared with the state-of-the-art method.作者: 公社 時間: 2025-3-28 03:02
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRIaining set. We extensively evaluate DOTE in two challenging tasks: image super-resolution and cross-modality synthesis. The experimental results demonstrate superior performance of our method over other state-of-the-art methods.作者: 愚笨 時間: 2025-3-28 08:09 作者: 放逐 時間: 2025-3-28 10:55 作者: 兒童 時間: 2025-3-28 15:32
Li Zhang,Dana Cobzas,Alan Wilman,Linglong Kongmit Opioiden.Plus für die Praxis: Dosierungsangaben und Anga.Opioide gelten als die wirkst?rksten Analgetika, die in der Schmerztherapie und An?sthesie verwendet werden. Für den gezielten therapeutischen Einsatz sind bei der Vielzahl von Substanzen genaue Kenntnise über die einzelnen Wirkungsweisen 作者: 彩色 時間: 2025-3-28 19:57 作者: 眨眼 時間: 2025-3-28 23:22
Xiaofeng Zhu,Kim-Han Thung,Ehsan Adeli,Yu Zhang,Dinggang Shen Nozizeptoren sitzen, eine Erregung eine bestimmte Intensit?t erreicht haben, um über unspezifische sog. multimodale Nervenfasern (Wide-dynamic-range-Rezeptoren), die neben Schmerz auch taktile Empfindungen wie Druck, Dehnung und Hitze aufnehmen, zum Rückenmark weitergeleitet zu werden. Hier an der 作者: 狂熱文化 時間: 2025-3-29 04:42
John Treilhard,Susanne Smolka,Lawrence Staib,Julius Chapiro,MingDe Lin,Georgy Shakirin,James S. DuncNozizeptoren sitzen, eine Erregung eine bestimmte Intensit?t erreicht haben, um über unspezifische, sog. multimodale Nervenfasern (Wide-dynamicrange-Rezeptoren), die neben Schmerz auch taktile Empfindungen wie Druck, Dehnung und Hitze aufnehmen, zum Rückenmark weitergeleitet zu werden. Hier an der e作者: 沐浴 時間: 2025-3-29 10:23 作者: 靦腆 時間: 2025-3-29 12:11 作者: Priapism 時間: 2025-3-29 15:40 作者: Glossy 時間: 2025-3-29 23:48 作者: 哺乳動物 時間: 2025-3-30 03:16 作者: 交響樂 時間: 2025-3-30 06:23
Sebastian J. Wirkert,Anant S. Vemuri,Hannes G. Kenngott,Sara Moccia,Michael G?tz,Benjamin F. B. Maye and atom photonics. The main topic is the optical near ?eld, i.e., the thin ?lm of light that is localized on the surface of a nanometric material. In the early 1980s, one of the authors (M. Ohtsu) started his pioneering research on optical near ?elds because he judged that nanometer-sized light wo作者: declamation 時間: 2025-3-30 08:53
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Statusmagnetic resonance imaging (MRI) data, since these two tasks are highly correlated. Although several joint learning models have been developed, most existing methods focus on using human-engineered features extracted from MRI data. Due to the possible heterogeneous property between human-engineered 作者: 努力趕上 時間: 2025-3-30 12:26
Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion to target the disease process early. In this paper, we present a novel nonlinear feature transformation scheme to improve the prediction of MCI-AD conversion through semi-supervised learning. Utilizing Laplacian SVM (LapSVM) as a host classifier, the proposed method learns a smooth spatially varyin作者: Delirium 時間: 2025-3-30 16:38 作者: 喃喃訴苦 時間: 2025-3-30 22:53
Latent Processes Governing Neuroanatomical Change in Aging and Dementiamodate neural systems with high susceptibility to deleterious factors. Due to the overlap, the separation between aging and pathological processes is challenging when analyzing brain structures independently. We propose to identify multivariate latent processes that govern cross-sectional and longit作者: 聽覺 時間: 2025-3-31 04:18
A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Datadifferent datasets. Simply including all the data does not only incur high processing costs but can even harm the prediction. We formulate the smart and efficient selection of a training dataset from big medical image data as a multi-armed bandit problem, solved by Thompson sampling. Our method assu作者: 實現(xiàn) 時間: 2025-3-31 06:42 作者: 寡頭政治 時間: 2025-3-31 12:19 作者: 種植,培養(yǎng) 時間: 2025-3-31 14:32 作者: 細絲 時間: 2025-3-31 20:26
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Dalow-rank matrix completion (.imputing the missing values and unknown labels simultaneously) and multi-task learning (.defining one regression task for each combination of modalities and then learning them jointly), are unable to model the complex data-to-label relationship in AD diagnosis and also i
