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標(biāo)題: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; 23rd International C Anne L. Martel,Purang Abolmaesumi,Leo Joskow [打印本頁]

作者: 重婚    時(shí)間: 2025-3-21 20:07
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020影響因子(影響力)




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020影響因子(影響力)學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020網(wǎng)絡(luò)公開度




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020被引頻次




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020被引頻次學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020年度引用




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020年度引用學(xué)科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020讀者反饋




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2020讀者反饋學(xué)科排名





作者: 語言學(xué)    時(shí)間: 2025-3-21 23:15
978-3-030-59712-2Springer Nature Switzerland AG 2020
作者: 血統(tǒng)    時(shí)間: 2025-3-22 03:10

作者: SNEER    時(shí)間: 2025-3-22 06:42
https://doi.org/10.1007/978-3-030-59713-9artificial intelligence; bioinformatics; color image processing; computer aided diagnosis; computer visi
作者: 尋找    時(shí)間: 2025-3-22 11:37

作者: LAITY    時(shí)間: 2025-3-22 15:32

作者: 天空    時(shí)間: 2025-3-22 17:11
Active MR ,-space Sampling with Reinforcement Learningion process and propose the use of reinforcement learning to solve it. Experiments on a large scale public MRI dataset of knees show that our proposed models significantly outperform the state-of-the-art in active MRI acquisition, over a large range of acceleration factors.
作者: 協(xié)迫    時(shí)間: 2025-3-23 00:22
End-to-End Variational Networks for Accelerated MRI Reconstructionemained an open problem. In this paper, we present a new approach to this problem that extends previously proposed variational methods by learning fully end-to-end. Our method obtains new state-of-the-art results on the fastMRI dataset?[.] for both brain and knee MRIs.
作者: frugal    時(shí)間: 2025-3-23 04:54
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network-based convolutional neural network that caters to non-Cartesian spiral trajectories commonly used for MRF acquisition. We improve tissue quantification accuracy compared with the state of the art. Our method enables fast 3D MRF with high spatial resolution, allowing whole-brain coverage within 5?min, making MRF more feasible in clinical settings.
作者: exacerbate    時(shí)間: 2025-3-23 07:56
Conference proceedings 2020e on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic..The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review
作者: 積習(xí)難改    時(shí)間: 2025-3-23 12:21

作者: Gesture    時(shí)間: 2025-3-23 15:09

作者: headway    時(shí)間: 2025-3-23 20:26
Learning MRI ,-Space Subsampling Pattern Using Progressive Weight Pruningiteration of learning, we first greedily eliminate a few phases that are considered less important in the .-space according to their assigned weights, and then fine-tune the reconstruction model. In our pilot study, experiments demonstrated the robustness and superiority of our proposed method in both single- and multi-modal MRI settings.
作者: 口音在加重    時(shí)間: 2025-3-23 22:59
0302-9743 Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic..The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-bl
作者: CANON    時(shí)間: 2025-3-24 02:53
Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images Recurrent Feature Sharing Reconstruction network (RFS-Rec) is designed to utilize intermediate features extracted from the matched T.w image by a Convolutional Recurrent Neural Network (CRNN), so that the missing structural information can be incorporated into the undersampled APT raw image thus ef
作者: collateral    時(shí)間: 2025-3-24 09:00
Joint Reconstruction and Bias Field Correction for Undersampled MR Imagingimization scheme. We use the HCP dataset as well as in-house measured images for the evaluations. We show that the proposed method improves the reconstruction quality, both visually and in terms of RMSE.
作者: 誘拐    時(shí)間: 2025-3-24 11:52

作者: GET    時(shí)間: 2025-3-24 16:51
3d-SMRnet: Achieving a New Quality of?MPI?System?Matrix?Recovery by?Deep?Learningrk with a 3d system matrix recovery network and show that it recovers a 3d system matrix with a subsampling factor of 64 in less than a minute and outperforms CS in terms of system matrix quality, reconstructed image quality, and processing time. The advantage of our method is demonstrated by recons
作者: Peculate    時(shí)間: 2025-3-24 21:44

作者: Comedienne    時(shí)間: 2025-3-25 02:56
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitiosing super-resolution reconstruction from conventional T2-weighted fast spin echo sequences for 3D isotropic T2 mapping. A quantitative magnetic resonance phantom was imaged using a clinical T2-weighted fast spin echo sequence at variable echo time to allow for super-resolution reconstruction at eve
作者: altruism    時(shí)間: 2025-3-25 03:56
Learned Proximal Networks for Quantitative Susceptibility Mappingscent fashion. This approach combines the strengths of data-driven restoration priors and the clear interpretability of iterative solvers that can take into account the physical model of dipole convolution. During training, our LP-CNN learns an implicit regularizer via its proximal, enabling the dec
作者: vocation    時(shí)間: 2025-3-25 08:35

作者: 浪費(fèi)時(shí)間    時(shí)間: 2025-3-25 14:08

作者: 無能性    時(shí)間: 2025-3-25 19:18
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Cony experimenting on different MRI datasets, we have demonstrated that our method can not only achieve better results compared to the state-of-the-arts but can also effectively reduce residual noise generated during the reconstruction process.
作者: Bucket    時(shí)間: 2025-3-25 22:17

作者: Exonerate    時(shí)間: 2025-3-26 00:11
Mélanie Gaillochet,Kerem Can Tezcan,Ender Konukoglur.Greves Werk ?Organizational Burnout“ ist ein Buch aus der Praxis für die Praxis. Es richtet sich an:.Eigentümer.Unternehmer.Führungskr?fte.Mitarbeiter?.Berater.Das Werk basiert in erster Linie auf Greves Erfahrungen als Unternehmer, CEO und Unternehmen978-3-658-23737-0
作者: 輕彈    時(shí)間: 2025-3-26 08:20

作者: languor    時(shí)間: 2025-3-26 09:30
Anuroop Sriram,Jure Zbontar,Tullie Murrell,Aaron Defazio,C. Lawrence Zitnick,Nafissa Yakubova,Floriadauer vonImmobilien. Durch ein effektives Management des Nutzungszyklus lassen sich Renditesteigerungen erzielen. Hierbei müssen Investitionsschwerpunkte w?hrend des ganzen Lebenszyklus gezielt aufeinander abge978-3-658-23756-1978-3-658-23757-8
作者: 討厭    時(shí)間: 2025-3-26 16:21

作者: 咯咯笑    時(shí)間: 2025-3-26 18:37
Eric Z. Chen,Terrence Chen,Shanhui Sundauer vonImmobilien. Durch ein effektives Management des Nutzungszyklus lassen sich Renditesteigerungen erzielen. Hierbei müssen Investitionsschwerpunkte w?hrend des ganzen Lebenszyklus gezielt aufeinander abge978-3-658-23756-1978-3-658-23757-8
作者: DRAFT    時(shí)間: 2025-3-26 23:52
Pengfei Guo,Puyang Wang,Jinyuan Zhou,Vishal M. Patel,Shanshan Jiangdauer vonImmobilien. Durch ein effektives Management des Nutzungszyklus lassen sich Renditesteigerungen erzielen. Hierbei müssen Investitionsschwerpunkte w?hrend des ganzen Lebenszyklus gezielt aufeinander abge978-3-658-23756-1978-3-658-23757-8
作者: 灌輸    時(shí)間: 2025-3-27 02:39
Luis Pineda,Sumana Basu,Adriana Romero,Roberto Calandra,Michal Drozdzal
作者: 蓋他為秘密    時(shí)間: 2025-3-27 06:04
Sahar Ahmad,Ye Wu,Khoi Minh Huynh,Kim-Han Thung,Weili Lin,Dinggang Shen,Pew-Thian Yap,the UNC/UMN Ba
作者: 可卡    時(shí)間: 2025-3-27 12:00

作者: 毛細(xì)血管    時(shí)間: 2025-3-27 15:32

作者: 減至最低    時(shí)間: 2025-3-27 18:40
Yao Sui,Onur Afacan,Ali Gholipour,Simon K. Warfield
作者: 成份    時(shí)間: 2025-3-28 00:18
Yuanyuan Lyu,Wei-An Lin,Haofu Liao,Jingjing Lu,S. Kevin Zhou
作者: DEMN    時(shí)間: 2025-3-28 05:35
Medical Image Computing and Computer Assisted Intervention – MICCAI 202023rd International C
作者: 招致    時(shí)間: 2025-3-28 10:01

作者: Fermentation    時(shí)間: 2025-3-28 14:16
Dongdong Chen,Mike E. Davies,Mohammad GolbabaeeBiesinger. wurde vom Underdog zum bekannten Pers?nlichkeitstrainer, Vortragsredner und Schriftsteller. Als Heavy Metal Coach? belegt er in zahlreichen Trainings, Vortr?gen und Büchern, dass es für eine aktive, erfolgreiche Ver?nderung niemals zu sp?t ist..978-3-658-23526-0
作者: relieve    時(shí)間: 2025-3-28 16:51
Ya?l Balbastre,Mikael Brudfors,Michela Azzarito,Christian Lambert,Martina F. Callaghan,John Ashburnewas die Erkenntnisse über das Ph?nomen des Organizational Burnout hinsichtlich der Grundlagen der Corporate Governance bedeuten k?nnten. Auch die Frage, wie sich das Thema auf das Gesetz zur Kontrolle und Transparenz im Unternehmensbereich (KonTraG) auswirken wird, ist noch offen. Sicher ist allerdi
作者: Forage飼料    時(shí)間: 2025-3-28 21:20

作者: 擴(kuò)音器    時(shí)間: 2025-3-29 01:02
Feng Cheng,Yong Chen,Xiaopeng Zong,Weili Lin,Dinggang Shen,Pew-Thian Yapeie Entfaltung der eigenen Pers?nlichkeit in einem untrennbaren Zusammenhang mit der Freiheit ihrer Mitmenschen denken zu k?nnen. Damit werden sie bef?higt, sich politischer Manipulationen zu erwehren, auch indem sie die historische Entwicklung der freiheitlichen Demokratie reflektieren und als Erru
作者: 憤怒歷史    時(shí)間: 2025-3-29 03:38
Yifeng Guo,Chengjia Wang,Heye Zhang,Guang Yangnhaften demokratischen Institutionen abgekoppeltes Vorstellungsuniversum kann sich seine eigenen Wahrheiten imaginieren. Im Beitrag wird herausgestellt, dass es unbedingt notwendig ist, die imagin?re Dimension zu berücksichtigen. Hierzu werden wesentliche Entwicklungsschritte der ?sthetisierung der
作者: 偽書    時(shí)間: 2025-3-29 09:31

作者: 大方一點(diǎn)    時(shí)間: 2025-3-29 11:52
Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Imageslowed by APTw imaging at particular geometry and locations (i.e. slice) determined by the acquired T.w images. Although many advanced MRI reconstruction methods have been proposed to accelerate MRI, existing methods for APTw MRI lacks the capability of taking advantage of structural information in t
作者: Conflagration    時(shí)間: 2025-3-29 16:07

作者: 一大群    時(shí)間: 2025-3-29 20:30

作者: Hectic    時(shí)間: 2025-3-30 03:20

作者: 針葉樹    時(shí)間: 2025-3-30 05:08

作者: muster    時(shí)間: 2025-3-30 08:58

作者: 詞匯記憶方法    時(shí)間: 2025-3-30 16:25

作者: 易于    時(shí)間: 2025-3-30 18:37
3d-SMRnet: Achieving a New Quality of?MPI?System?Matrix?Recovery by?Deep?Learning model-based reconstruction, the calibration approach has the important advantage that it takes into account both complex particle physics and system imperfections. However, this has the disadvantage that the system matrix has to be re-calibrated each time the scan parameters, the particle types or
作者: 放縱    時(shí)間: 2025-3-30 23:49

作者: daredevil    時(shí)間: 2025-3-31 04:04
An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveformsowever, the design of such waveforms remains an open problem. In this work, we propose a framework for generalized gradient waveform design with optimized sensitivity to selected microstructure features. In particular, we present a rotation-invariant method based on a genetic algorithm to maximize t
作者: 暗語    時(shí)間: 2025-3-31 08:00
Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN gliomas in neuro-oncology with the help of conventional and advanced molecular MR images. However, the lack of sufficient annotated MRI data has vastly impeded the development of such automatic methods. Conventional data augmentation approaches, including flipping, scaling, rotation, and distortion
作者: Organonitrile    時(shí)間: 2025-3-31 10:40
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisition development and supporting diagnosis in equivocal neurological situations. However, such quantitative techniques require long acquisition times and therefore cannot be straightforwardly translated to . brain developmental studies. In clinical fetal brain magnetic resonance imaging routine, 2D low-
作者: 最高點(diǎn)    時(shí)間: 2025-3-31 14:54





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