標題: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; 24th International C Marleen de Bruijne,Philippe C. Cattin,Caroli [打印本頁] 作者: 迅速 時間: 2025-3-21 16:26
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021影響因子(影響力)
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021影響因子(影響力)學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021網(wǎng)絡(luò)公開度
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021被引頻次
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021被引頻次學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021年度引用
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021年度引用學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021讀者反饋
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021讀者反饋學(xué)科排名
作者: 警告 時間: 2025-3-21 20:20 作者: EVEN 時間: 2025-3-22 01:34 作者: Eeg332 時間: 2025-3-22 07:41 作者: 偽造 時間: 2025-3-22 11:26
Kai Cheng,Yiting Ma,Bin Sun,Yang Li,Xuejin Chen verfolgt sie damit eines der am ambitioniertesten und ehrgeizigsten Vorhaben Deutschlands. Die Voraussetzungen der Anfangsjahre scheinen vielversprechend: Erfolgreiche Aktienverk?ufe an Privatinvestoren, ein vielbeachteter B?rsengang und sogar die Aufnahme in den MDAX im Jahr 2000. Dennoch bleiben 作者: ALIBI 時間: 2025-3-22 16:16
Alan Q. Wang,Aaron K. LaViolette,Leo Moon,Chris Xu,Mert R. Sabuncu verfolgt sie damit eines der am ambitioniertesten und ehrgeizigsten Vorhaben Deutschlands. Die Voraussetzungen der Anfangsjahre scheinen vielversprechend: Erfolgreiche Aktienverk?ufe an Privatinvestoren, ein vielbeachteter B?rsengang und sogar die Aufnahme in den MDAX im Jahr 2000. Dennoch bleiben 作者: 焦慮 時間: 2025-3-22 17:50
Chun-Mei Feng,Huazhu Fu,Shuhao Yuan,Yong Xuoxid und Propan als Gase mit gleichem Molekulargewicht.UnterDas Thema dieser Arbeit ist die chemische Oberfl?chenmodifikation von mesopor?sen Gl?sern. Diese wurde genutzt, um Gemische ?hnlicher Gase zu trennen, die aufgrund der wirkenden Stofftransport- und Adsorptionsmechanismen nur durch spezifisc作者: 喊叫 時間: 2025-3-22 22:05 作者: nascent 時間: 2025-3-23 03:48
Changyeop Shin,Hyun Ryu,Eun-Seo Cho,Young-Gyu Yoon in Abh?ngigkeit von der Anzahl an (named oder concurrent) Usern, die mit der Software arbeiten sollen?– eine bestimmte Zahl Softwarelizenzen und erh?lt somit das Recht, die Software zu nutzen. In den letzten Jahren hat sich dafür der Begriff ?Closed Software“ etabliert. Andere Bezeichnungen sind pr作者: 推測 時間: 2025-3-23 05:58
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Imagespost-processing. Deep learning (DL) has shown great potential to reconstruct the high-resolution (HR) thin-slice MR images from those low-resolution (LR) cases, which we refer to as the slice interpolation task in this work. However, since it is generally difficult to sample abundant paired LR-HR MR作者: geriatrician 時間: 2025-3-23 13:13 作者: 流動才波動 時間: 2025-3-23 16:14 作者: Anguish 時間: 2025-3-23 19:53
Synthesizing Multi-tracer PET Images for Alzheimer’s Disease Patients Using a 3D Unified Anatomy-Awaide molecular characterization of patients with cognitive disorders. However, multiple tracers are needed to measure glucose metabolism (.F-FDG), synaptic vesicle protein (.C-UCB-J), and .-amyloid (.C-PiB). Administering multiple tracers to patient will lead to high radiation dose and cost. In addit作者: 玉米棒子 時間: 2025-3-23 22:59 作者: sphincter 時間: 2025-3-24 03:15
TransCT: Dual-Path Transformer for Low Dose Computed Tomographyuce the dose of X-ray radiation to patients. However, the noise caused by low X-ray exposure degrades the CT image quality and then affects clinical diagnosis accuracy. In this paper, we train a transformer-based neural network to enhance the final CT image quality. To be specific, we first decompos作者: 變色龍 時間: 2025-3-24 07:52
IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representationw-resolution (LR) MR images and achieve an arbitrary up-sampling rate for HR image reconstruction. In this work, we suppose the desired HR image as an implicit continuous function of the 3D image spatial coordinate, and the thick-slice LR images as several sparse discrete samplings of this function.作者: Cultivate 時間: 2025-3-24 12:55
DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Imagesderstanding, increasing robustness in downstream tasks, etc. However, applying deep-learning-based SR approaches for clinical applications often encounters issues of domain inconsistency, as the test data may be acquired by different machines or on different organs. In this work, we present a novel 作者: 脆弱么 時間: 2025-3-24 15:00
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolations extremely small. Both analytical and iterative models need more projections for effective modeling. Deep learning methods have gained prevalence due to their excellent reconstruction performances, but such success is mainly limited within the same dataset and does not generalize across datasets wi作者: CLEAR 時間: 2025-3-24 22:07
Fast Magnetic Resonance Imaging on?Regions of Interest: From Sensing to?Reconstructiontely. However, few existing methods study ROI in both data acquisition and image reconstruction when accelerating MRI by partial k-space measurements. Aiming at utilizing limited sampling resources efficiently on most relevant and desirable imaging contents in fast MRI, we propose a deep network fra作者: 座右銘 時間: 2025-3-25 01:39
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reductionom two problems: 1) the CT imaging geometry constraint is not fully embedded into the network during training, leaving room for further performance improvement; 2) the model interpretability is lack of sufficient consideration. Against these issues, we propose a novel interpretable dual domain netwo作者: Redundant 時間: 2025-3-25 03:27 作者: 語源學(xué) 時間: 2025-3-25 11:15
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscormed to recover the image. Much work has gone into optimizing the sensing and reconstruction portions separately. We propose a method of jointly optimizing both sensing and reconstruction end-to-end under a total measurement constraint, enabling learning of the optimal sensing scheme concurrently w作者: 粘 時間: 2025-3-25 15:27 作者: 啟發(fā) 時間: 2025-3-25 16:00
Generator Versus Segmentor: Pseudo-healthy Synthesisgical one. Recent approaches based on Generative Adversarial Network (GAN) have been developed for this task. However, these methods will inevitably fall into the trade-off between preserving the subject-specific identity and generating healthy-like appearances. To overcome this challenge, we propos作者: 緊張過度 時間: 2025-3-25 20:19
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprintingructing a series of time frames from highly-undersampled non-Cartesian spiral k-space data and (ii) pattern matching using the time frames to infer tissue properties (e.g., . and . relaxation times). In this paper, we introduce a novel end-to-end deep learning framework to seamlessly map the tissue 作者: opinionated 時間: 2025-3-26 00:50 作者: 大量殺死 時間: 2025-3-26 08:07
RLP-Net: A Recursive Light Propagation Network for 3-D Virtual Refocusingand complex movements. Designing such an optical system is constrained by the inherent trade-off among resolution, speed, and noise which comes from the limited number of photons that can be collected. In this paper, we propose a recursive light propagation network (RLP-Net) that infers the 3-D volu作者: FAZE 時間: 2025-3-26 10:40
0302-9743 ational Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*.The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are org作者: DAMP 時間: 2025-3-26 15:42
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reductionnly consists of simple computational operators, which facilitate us to correspondingly unfold iterative steps into network modules and thus improve the interpretablility of the framework. Extensive experiments on synthesized and clinical data show the superiority of our InDuDoNet. Code is available in ..作者: BARK 時間: 2025-3-26 19:39 作者: 臭了生氣 時間: 2025-3-26 23:50
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscoscopy images comprising of a variety of biological samples. We show that our method outperforms several baseline sensing schemes and a regularized regression reconstruction algorithm. Our code is publicly-available at ..作者: 名次后綴 時間: 2025-3-27 01:55
Conference proceedings 2021nference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*.The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in 作者: 殺子女者 時間: 2025-3-27 07:36 作者: Flounder 時間: 2025-3-27 10:51
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629203.jpg作者: Banister 時間: 2025-3-27 15:03 作者: Herbivorous 時間: 2025-3-27 17:46 作者: hermetic 時間: 2025-3-28 01:38
ensweisen von politischen Ph?nomenen zum erkenntnisf?rdernden Gegenstand von Politikunterricht machen und zudem die Differenz von geplantem und durchgeführtem Unterricht in Hinsicht auf Lerngegenst?nde und Unterrichtsmedien fachdidaktisch besser reflektieren zu k?nnen.作者: 提升 時間: 2025-3-28 04:49 作者: 津貼 時間: 2025-3-28 06:40
Kai Cheng,Yiting Ma,Bin Sun,Yang Li,Xuejin Chenie ?Organizational Hubris“ wird der Aufstieg, der Niedergang und das Scheitern der CargoLifter AG wissenschaftlich nachvollzogen und erkl?rt..Das Buch richtet sich an Lehrende und Forschende, welche Interesse an den jungen theoretischen Str?mungen Celebrity und Organizational Hubris haben. Es richte作者: Needlework 時間: 2025-3-28 14:09 作者: mitten 時間: 2025-3-28 17:19 作者: admission 時間: 2025-3-28 22:43
0302-9743 and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality..Part V: computer aided diagnosis; i978-3-030-87230-4978-3-030-87231-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 剛開始 時間: 2025-3-29 01:59 作者: 發(fā)酵劑 時間: 2025-3-29 05:02 作者: 功多汁水 時間: 2025-3-29 09:45
Bo Zhou,Rui Wang,Ming-Kai Chen,Adam P. Mecca,Ryan S. O’Dell,Christopher H. Van Dyck,Richard E. Carso作者: 柳樹；枯黃 時間: 2025-3-29 14:03
Hongxiang Lin,Yukun Zhou,Paddy J. Slator,Daniel C. Alexander作者: 大氣層 時間: 2025-3-29 15:48 作者: Thymus 時間: 2025-3-29 23:11 作者: 果核 時間: 2025-3-30 03:18 作者: Corroborate 時間: 2025-3-30 06:38 作者: BLANC 時間: 2025-3-30 10:15 作者: Leisureliness 時間: 2025-3-30 15:26
Over-and-Under Complete Convolutional RNN for MRI Reconstructione on low-level features without losing out on the global structures. Extensive experiments on two datasets demonstrate that the proposed method achieves significant improvements over the compressed sensing and popular deep learning-based methods with less number of trainable parameters.作者: Heterodoxy 時間: 2025-3-30 16:57 作者: 松果 時間: 2025-3-30 22:17 作者: 饑荒 時間: 2025-3-31 01:23 作者: NOTCH 時間: 2025-3-31 05:30
