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標(biāo)題: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee [打印本頁(yè)]

作者: onychomycosis    時(shí)間: 2025-3-21 16:56
書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次學(xué)科排名




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用學(xué)科排名




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋




書(shū)目名稱(chēng)Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋學(xué)科排名





作者: 偏離    時(shí)間: 2025-3-21 20:45
umentary Method we reconstruct different modes of conducting department meetings, in which members collectively engage with department rules and obligations. Our results indicate differences between the studied departments regarding their milieu nature as well as the productivity of their collaborat
作者: 細(xì)胞膜    時(shí)間: 2025-3-22 02:53

作者: 惡意    時(shí)間: 2025-3-22 05:22

作者: 付出    時(shí)間: 2025-3-22 12:15
Minhui Yu,Hao Guan,Yuqi Fang,Ling Yue,Mingxia Liu Kita und Familie auch belasten. Datenmaterial und Analysen stammen aus dem BMBF-Verbundforschungsprojekt PARTNER, das in praxisanalytischer Perspektive die multiplen, allt?glichen Verh?ltnisgestaltungen von Familie und Kita untersucht..Based on the thesis of a double optimisation function of public
作者: 亞當(dāng)心理陰影    時(shí)間: 2025-3-22 14:40
n zu legitimieren. Besonders riskant wird ihr Einsatz, wenn Entscheidungen, die von einem algorithmischen Output abweichen, schwer zu rechtfertigen sind und wenn Faktoren, die jenseits der algorithmischen Kalkulation liegen, weniger Spielraum in Entscheidungsprozessen einger?umt wird.
作者: figurine    時(shí)間: 2025-3-22 19:38

作者: 深陷    時(shí)間: 2025-3-23 00:49
Davood Karimi,Ali Gholipourn der obersten Führungsebene eine der wichtigsten Einflussvariablen für die Gestaltung von Führungs- und Managementkonzepten sind. In allen Organisationen wurden digitale Kommunikationsformate genutzt, um Transparenz zu erm?glichen, die Besch?ftigten in ihrer selbstorganisierten Arbeitsweise zu unte
作者: Blanch    時(shí)間: 2025-3-23 05:08

作者: 全神貫注于    時(shí)間: 2025-3-23 08:18
Zhenwei Wang,Yifan Lv,Mengshen He,Enjie Ge,Ning Qiang,Bao Ge?glichkeiten, Zeit- und Kostenersparnisse - , welche ihren Status als wichtiges Bildungsformat auch für die Zukunft herausstellen. Andererseits bringen digitale Lernangebote für Lehrende und Lernende auch neue Herausforderungen und Problemversch?rfungen mit sich. Die Auswirkungen einer (weiter) zune
作者: Acetabulum    時(shí)間: 2025-3-23 13:01

作者: Ballad    時(shí)間: 2025-3-23 17:26
Yuqian Chen,Fan Zhang,Chaoyi Zhang,Tengfei Xue,Leo R. Zekelman,Jianzhong He,Yang Song,Nikos Makris,Yl kann das ?Crisis Resource Management“ der Verkehrsluftfahrt und der Notfallmedizin sein –, gibt es in Dienstleistungsbereichen inkl. der Finanzindustrie aufgrund der regulatorischen Rahmenbedingungen einen Fokus auf Definitionen von Arbeitsanweisungen statt auf ein Training für den ?seltenen, aber
作者: Consequence    時(shí)間: 2025-3-23 18:36
Medical Image Computing and Computer Assisted Intervention – MICCAI 202225th International C
作者: cushion    時(shí)間: 2025-3-24 01:40

作者: 喃喃而言    時(shí)間: 2025-3-24 04:10
Claire Cury,Jean-Marie Batail,Julie Coloignerfte Beispiele für ein offenes Regierungs- und Verwaltungshandeln in der Praxis sowie ein digitales Karteikartensystem wird umfangreiches Wissen anschaulich und zielgerecht vermittelt..Die Leser werden mit Leitb978-3-658-36794-7978-3-658-36795-4Series ISSN 2751-7357 Series E-ISSN 2751-7365
作者: 假    時(shí)間: 2025-3-24 08:17

作者: Aura231    時(shí)間: 2025-3-24 11:34
Ignacio Sarasua,Sebastian P?lsterl,Christian Wachinger
作者: 異端邪說(shuō)下    時(shí)間: 2025-3-24 16:03
Huy-Dung Nguyen,Micha?l Clément,Boris Mansencal,Pierrick Coupé
作者: 他日關(guān)稅重重    時(shí)間: 2025-3-24 22:50

作者: 規(guī)章    時(shí)間: 2025-3-25 01:13
Jo?l Chavas,Louise Guillon,Marco Pascucci,Beno?t Dufumier,Denis Rivière,Jean-Fran?ois Mangin
作者: BUMP    時(shí)間: 2025-3-25 06:44

作者: 細(xì)頸瓶    時(shí)間: 2025-3-25 09:28
Feng Liu,Guihong Wan,Yevgeniy R. Semenov,Patrick L. Purdon
作者: RENIN    時(shí)間: 2025-3-25 15:41
Progression Models for?Imaging Data with?Longitudinal Variational Auto Encodersmethod. We then apply it to 3D MRI and FDG-PET data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to recover well documented patterns of structural and metabolic alterations of the brain.
作者: 使腐爛    時(shí)間: 2025-3-25 18:12
Domain-Prior-Induced Structural MRI Adaptation for?Clinical Progression Prediction of?Subjective Cogal MRI adaptation (DSMA) method for SCD progression prediction by mitigating the distribution gap between SCD and AD groups. The proposed DSMA method consists of two parallel . for MRI feature learning in the labeled source domain and unlabeled target domain, an . to locate potential disease-associa
作者: 收到    時(shí)間: 2025-3-25 23:44
CASHformer: Cognition Aware SHape Transformer for?Longitudinal Analysisyers during fine-tuning. This reduces the number of parameters by over 90% with respect to the original model and therefore enables the application of large models on small datasets without overfitting. In addition, CASHformer models cognitive decline to reveal AD atrophy patterns in the temporal se
作者: 大包裹    時(shí)間: 2025-3-26 00:31

作者: 共棲    時(shí)間: 2025-3-26 07:56

作者: VOK    時(shí)間: 2025-3-26 10:44

作者: ANTE    時(shí)間: 2025-3-26 16:40
Feature Robustness and?Sex Differences in?Medical Imaging: A Case Study in?MRI-Based Alzheimer’s Disdataset composition, we find that CNN performance is generally improved for both male and female subjects when including more female subjects in the training dataset. We hypothesize that this might be due to inherent differences in the pathology of the two sexes. Moreover, in our analysis, the logis
作者: GLADE    時(shí)間: 2025-3-26 17:05
Extended Electrophysiological Source Imaging with?Spatial Graph Filtersose the graph signal representation in the source space into low-, medium-, and high-frequency subspaces, and project the source signal into the graph low-frequency subspace. We further introduce a low-rank representation with temporal graph regularization in the projected space to build the ESI fra
作者: septicemia    時(shí)間: 2025-3-26 21:09
Hybrid Graph Transformer for?Tissue Microstructure Estimation with?Undersampled Diffusion MRI Datad transformer layers and a residual connection to facilitate model training. Extensive experiments on the data from the Human Connectome Project (HCP) demonstrate that our method significantly improves the quality of microstructural estimations over existing state-of-the-art methods.
作者: bacteria    時(shí)間: 2025-3-27 03:25

作者: 西瓜    時(shí)間: 2025-3-27 08:33
One-Shot Segmentation of?Novel White Matter Tracts via?Extensive Data Augmentation tracts. In this work, we explore the problem of one-shot segmentation of novel WM tracts. Since in the one-shot setting the annotated training data is extremely scarce, based on the existing knowledge transfer framework, we propose to further perform extensive data augmentation for the single annot
作者: 幸福愉悅感    時(shí)間: 2025-3-27 10:02

作者: 組裝    時(shí)間: 2025-3-27 17:31
Shape-Based Features of?White Matter Fiber-Tracts Associated with?Outcome in?Major Depression Disordbundles and the clinical improvement 6 months after. More precisely, the right-sided thalamo-occipital fascicle and optic radiations are the most robust followed by the splenium. The present study shows the interest in considering white matter shape in the context of depression, contributing to impr
作者: HACK    時(shí)間: 2025-3-27 20:06

作者: ineptitude    時(shí)間: 2025-3-27 23:49
Conference proceedings 2022nalysis; image segmentation I; ..Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; ..Part VI: Image registration; image reconstruction; ..Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and si
作者: BULLY    時(shí)間: 2025-3-28 04:30

作者: 蜿蜒而流    時(shí)間: 2025-3-28 06:59
Conference proceedings 2022onference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. .The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the fol
作者: 暴露他抗議    時(shí)間: 2025-3-28 14:21
0302-9743 national Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. .The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized
作者: ATOPY    時(shí)間: 2025-3-28 16:56
3D Global Fourier Network for Alzheimer’s Disease Diagnosis Using Structural MRI strategy to identify discriminative features. Extensive experiments on two independent datasets (ADNI and AIBL) demonstrate that our proposed GF-Net outperforms several state-of-the-art methods in terms of accuracy and other metrics, and can also identify pathological regions of AD. The code is released at
作者: 縮短    時(shí)間: 2025-3-28 22:42
An Adaptive Network with?Extragradient for?Diffusion MRI-Based Microstructure Estimationive iterative selection module, the sparse representation process can be modeled flexibly according to specific dMRI models. The network was evaluated on the . (NODDI) model on a public 3T and a private 7T dataset. AEME showed superior improved accuracy and generalizability compared to other state-of-the-art microstructural estimation algorithms.
作者: 隱藏    時(shí)間: 2025-3-29 01:54

作者: HERTZ    時(shí)間: 2025-3-29 03:06

作者: 妨礙    時(shí)間: 2025-3-29 10:11
Beno?t Sauty,Stanley Durrlemans can be understood as formal, organizational subunits of schools, given an account of schools as organizations within the framework of a praxeological sociology of knowledge. However, this account also emphasizes the importance of milieus for organizational practices in addition to the formal struc
作者: IRK    時(shí)間: 2025-3-29 11:28
Feng Chang,Chaoyi Wu,Yanfeng Wang,Ya Zhang,Xin Chen,Qi Tian universities and individual schools that primary focuses on educational “experimentation”. It is this particular form of institutionalised “research-practice partnerships” that is examined more closely in this article with regard to questions of optimising organisations. After briefly outlining the
作者: 惡臭    時(shí)間: 2025-3-29 18:32

作者: 令人作嘔    時(shí)間: 2025-3-29 20:58
tationsrahmen vor, der datenintensive Algorithmen weder als Kommunikationspartner noch als Ersatz für Entscheidungen begreift, sondern als technische Einrichtungen zur Bearbeitung und Verbreitung von Information, kurz: als Medien. Unsere These ist, dass diese Medien zu neuartigen kommunikativen Arra
作者: A簡(jiǎn)潔的    時(shí)間: 2025-3-30 02:55
Geng Chen,Haotian Jiang,Jiannan Liu,Jiquan Ma,Hui Cui,Yong Xia,Pew-Thian Yaph?hten Anpassungsanforderungen konfrontiert. Mit unserem Beitrag m?chten wir zeigen, wie solche Anpassungsleistungen durch die Ver?nderungen von Führungs- und Managementkonzepten und die Nutzung digitaler Tools unterstützt und erleichtert werden k?nnen. Diese ver?nderten Konzepte folgen in Abkehr de
作者: 嚴(yán)重傷害    時(shí)間: 2025-3-30 05:12
Davood Karimi,Ali Gholipourh?hten Anpassungsanforderungen konfrontiert. Mit unserem Beitrag m?chten wir zeigen, wie solche Anpassungsleistungen durch die Ver?nderungen von Führungs- und Managementkonzepten und die Nutzung digitaler Tools unterstützt und erleichtert werden k?nnen. Diese ver?nderten Konzepte folgen in Abkehr de
作者: 哺乳動(dòng)物    時(shí)間: 2025-3-30 09:32
Wan Liu,Qi Lu,Zhizheng Zhuo,Yaou Liu,Chuyang Yetationsrahmen vor, der datenintensive Algorithmen weder als Kommunikationspartner noch als Ersatz für Entscheidungen begreift, sondern als technische Einrichtungen zur Bearbeitung und Verbreitung von Information, kurz: als Medien. Unsere These ist, dass diese Medien zu neuartigen kommunikativen Arra
作者: Evolve    時(shí)間: 2025-3-30 15:36
Zhenwei Wang,Yifan Lv,Mengshen He,Enjie Ge,Ning Qiang,Bao Ge zu einer st?rkeren Digitalisierung der Bildung wurde durch die Coronapandemie beschleunigt vollzogen und ist nicht mehr aufzuhalten. Quasi über Nacht wurden Online-Seminare zur neuen Norm in Unterricht, Hochschullehre und Erwachsenenbildung. Die Technik gilt dabei Vielen als Segen und Fluch zugleic
作者: 疲憊的老馬    時(shí)間: 2025-3-30 17:21
Tianshu Zheng,Weihao Zheng,Yi Sun,Yi Zhang,Chuyang Ye,Dan Wu zu einer st?rkeren Digitalisierung der Bildung wurde durch die Coronapandemie beschleunigt vollzogen und ist nicht mehr aufzuhalten. Quasi über Nacht wurden Online-Seminare zur neuen Norm in Unterricht, Hochschullehre und Erwachsenenbildung. Die Technik gilt dabei Vielen als Segen und Fluch zugleic
作者: deadlock    時(shí)間: 2025-3-30 22:40

作者: 山頂可休息    時(shí)間: 2025-3-31 04:30
Yuqian Chen,Fan Zhang,Chaoyi Zhang,Tengfei Xue,Leo R. Zekelman,Jianzhong He,Yang Song,Nikos Makris,Y unternehmensinterne Governance – die Struktur von ex ante definierten Prozessen, Protokollen und ?Lines of Reporting“ – einzubeziehen. Die Menschen treten in einer solchen Sichtweise in den Hintergrund. Letztlich sind es aber gerade die Menschen, welche aus ihren Erfahrungen heraus Operational Resi
作者: 陳舊    時(shí)間: 2025-3-31 07:57
Progression Models for?Imaging Data with?Longitudinal Variational Auto Encodersssments or biomarkers extracted from medical images, allowing missing data imputation and prediction at any timepoint. However, such progression models have seldom been used for entire medical images. In this work, a Variational Auto Encoder is coupled with a temporal linear mixed-effect model to le
作者: 口味    時(shí)間: 2025-3-31 11:43
Boundary-Enhanced Self-supervised Learning for?Brain Structure Segmentationructure segmentation. Most SSL methods treat all pixels equally, failing to emphasize the boundaries that are important clues for segmentation. We propose Boundary-Enhanced Self-Supervised Learning (BE-SSL), leveraging supervoxel segmentation and registration as two related proxy tasks. The former t
作者: 得意人    時(shí)間: 2025-3-31 16:52
Domain-Prior-Induced Structural MRI Adaptation for?Clinical Progression Prediction of?Subjective Cog). To prevent the potential disease conversion, it is critical to investigate biomarkers for SCD progression. Previous learning-based methods employ T1-weighted magnetic resonance imaging (MRI) data to aid the future progression prediction of SCD, but often fail to build reliable models due to the i
作者: Pathogen    時(shí)間: 2025-3-31 19:22
3D Global Fourier Network for Alzheimer’s Disease Diagnosis Using Structural MRI (CAD) of Alzheimer’s disease (AD) using structural magnetic resonance imaging (sMRI). Most of them use spatial convolutional filters to learn local information from the images. In this paper, we propose a 3D Global Fourier Network (GF-Net) to utilize global frequency information that captures long-
作者: 有說(shuō)服力    時(shí)間: 2025-4-1 01:03

作者: motivate    時(shí)間: 2025-4-1 04:42

作者: Gossamer    時(shí)間: 2025-4-1 07:19
Is a?PET All You Need? A?Multi-modal Study for?Alzheimer’s Disease Using 3D CNNsrks on neuroimaging-based computer-aided diagnosis with deep neural networks (DNNs) showed that fusing structural magnetic resonance images (sMRI) and fluorodeoxyglucose positron emission tomography (FDG-PET) leads to improved accuracy in a study population of healthy controls and subjects with AD.




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