派博傳思國際中心

標(biāo)題: Titlebook: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers; 13th International W Oscar Camara,Esthe [打印本頁]

作者: 太平間    時間: 2025-3-21 16:34
書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers影響因子(影響力)




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers影響因子(影響力)學(xué)科排名




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers網(wǎng)絡(luò)公開度




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers被引頻次




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers被引頻次學(xué)科排名




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers年度引用




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers年度引用學(xué)科排名




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers讀者反饋




書目名稱Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers讀者反饋學(xué)科排名





作者: hemophilia    時間: 2025-3-21 20:47

作者: 異教徒    時間: 2025-3-22 00:24
Mengyun Qiao,Berke Doga Basaran,Huaqi Qiu,Shuo Wang,Yi Guo,Yuanyuan Wang,Paul M. Matthews,Daniel Ruehm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the opera
作者: Synthesize    時間: 2025-3-22 06:05
Xiaoran Zhang,Chenyu You,Shawn Ahn,Juntang Zhuang,Lawrence Staib,James Duncanhm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the opera
作者: 護(hù)身符    時間: 2025-3-22 11:36

作者: HEAVY    時間: 2025-3-22 15:48
Xabier Morales,Carlos Albors,Jordi Mill,Oscar Camarahm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the opera
作者: CULP    時間: 2025-3-22 20:41

作者: 辮子帶來幫助    時間: 2025-3-23 00:42

作者: TAG    時間: 2025-3-23 03:35

作者: 發(fā)源    時間: 2025-3-23 07:59
Dieuwertje Alblas,Christoph Brune,Kak Khee Yeung,Jelmer M. Wolterink with exercises and suggested reading, suitable for graduate.This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field,
作者: 構(gòu)想    時間: 2025-3-23 12:28
Marica Muffoletto,Hao Xu,Hugo Barbaroux,Karl P. Kunze,Radhouene Neji,René Botnar,Claudia Prieto,Dani with exercises and suggested reading, suitable for graduate.This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field,
作者: 不能仁慈    時間: 2025-3-23 17:02
Emily Chan,Ciaran O’Hanlon,Carlota Asegurado Marquez,Marwenie Petalcorin,Jorge Mariscal-Harana,Haoticontained guide to the area. The book covers many of the recent developments of the field, including application of important separators, branching based on linear programming, Cut & Count to obtain faster algorithms on tree decompositions, algorithms based on representative families of matroids, an
作者: Influx    時間: 2025-3-23 19:57

作者: 改革運(yùn)動    時間: 2025-3-23 23:07
978-3-031-23442-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: Neuropeptides    時間: 2025-3-24 05:38
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers978-3-031-23443-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 粗魯性質(zhì)    時間: 2025-3-24 08:35
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/876377.jpg
作者: BRAND    時間: 2025-3-24 14:25

作者: CARK    時間: 2025-3-24 15:44

作者: BILIO    時間: 2025-3-24 19:08

作者: Encephalitis    時間: 2025-3-25 02:53
Conference proceedings 2022eld in conjunction with the 25th MICCAI conference...The 34 regular workshop papers included in this volume were carefully reviewed and selected after being revised and deal with topics such as: common cardiac segmentation and modelling problems to more advanced generative modelling for ageing heart
作者: Grandstand    時間: 2025-3-25 03:31
Multi-modal Latent-Space Self-alignment for?Super-Resolution Cardiac MR Segmentationn anatomical prior derived from unpaired 3D high-resolution CT scans. On 3D MR angiograms, the trained pipeline produced high-resolution segments that preserve an anatomical prior derived from patients with various cardiovascular diseases.
作者: fluoroscopy    時間: 2025-3-25 09:50
Personalized Fast Electrophysiology Simulations to?Evaluate Arrhythmogenicity of?Ventricular Slow Coeline to four patients that have suffered a myocardial infarction, reproducing successfully predicting patient arrhythmogeneity in all cases with low computational times compatible with clinical routine (less than 4?h).
作者: insurrection    時間: 2025-3-25 13:51

作者: 蒙太奇    時間: 2025-3-25 19:11

作者: Hamper    時間: 2025-3-25 21:30

作者: 光滑    時間: 2025-3-26 01:37

作者: 口訣法    時間: 2025-3-26 05:43

作者: Conscientious    時間: 2025-3-26 08:34

作者: 關(guān)節(jié)炎    時間: 2025-3-26 13:22

作者: 使糾纏    時間: 2025-3-26 19:10

作者: KEGEL    時間: 2025-3-27 00:41

作者: Vulnerable    時間: 2025-3-27 02:45
Comparison of?Semi- and Un-Supervised Domain Adaptation Methods for?Whole-Heart Segmentationprocesses as the heart tissue adapts to disease. Coronary Computed Tomography Angiography (CCTA) is considered a first line tool for patients at low or intermediate risk of coronary artery disease, while Coronary Magnetic Resonance Angiography (CMRA) is a promising alternative due to the absence of
作者: 狂熱語言    時間: 2025-3-27 05:59

作者: Enrage    時間: 2025-3-27 12:02
An Atlas-Based Analysis of Biventricular Mechanics in Tetralogy of Fallot variations in ventricular shape are sufficient to explain corresponding differences in ventricular wall motion directly, or if they are indirect markers of altered myocardial mechanical properties. This study was conducted in a cohort of patients with repaired tetralogy of Fallot (rTOF) that face l
作者: 喃喃訴苦    時間: 2025-3-27 14:41
Review of?Data Types and?Model Dimensionality for?Cardiac DTI SMS-Related Artefact Removaleep learning-based Artificial Intelligence is becoming a crucial tool in mitigating some of its drawbacks, such as the long scan times. As it often happens in fast-paced research environments, a lot of emphasis has been put on showing the capability of deep learning while often not enough time has b
作者: 莊嚴(yán)    時間: 2025-3-27 21:15
Improving Echocardiography Segmentation by?Polar Transformationecade, deep learning-based approaches have significantly improved the performance of echocardiogram segmentation. Most deep learning-based methods assume that the image to be processed is rectangular in shape. However, typically echocardiogram images are formed within a sector of a circle, with a si
作者: 外面    時間: 2025-3-28 00:57

作者: Libido    時間: 2025-3-28 04:44

作者: 使成核    時間: 2025-3-28 07:25
Unsupervised Echocardiography Registration Through Patch-Based MLPs and?Transformersre relatively noisy compared to other imaging modalities. Traditional (non-learning) registration approaches rely on the iterative optimization of a similarity metric which is usually costly in time complexity. In recent years, convolutional neural network (CNN) based image registration methods have
作者: artifice    時間: 2025-3-28 11:17

作者: 同音    時間: 2025-3-28 16:58

作者: brother    時間: 2025-3-28 20:15

作者: 北極熊    時間: 2025-3-29 00:16

作者: 圣歌    時間: 2025-3-29 06:37

作者: Adenocarcinoma    時間: 2025-3-29 10:53
Xiaoran Zhang,Chenyu You,Shawn Ahn,Juntang Zhuang,Lawrence Staib,James Duncanations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods..978-3-642-08892-6978-3-540-69432-8Series ISSN 1860-949X Series E-ISSN 1860-9503
作者: 無法取消    時間: 2025-3-29 11:27

作者: 承認(rèn)    時間: 2025-3-29 18:07

作者: 不理會    時間: 2025-3-29 22:59

作者: 商店街    時間: 2025-3-30 02:08

作者: Loathe    時間: 2025-3-30 06:28

作者: 左右連貫    時間: 2025-3-30 11:44
Towards Real-Time Optimization of?Left Atrial Appendage Occlusion Device Placement Through Physics-Inite element simulation for training. To this end, we leveraged physics-informed neural networks (PINN), which embed the physical laws governing the domain of interest into the model, exhibiting far superior generalization capabilities than conventional data-driven models. Several device types and p
作者: 拋棄的貨物    時間: 2025-3-30 16:08
Haemodynamic Changes in?the?Fetal Circulation Post-connection to?an?Artificial Placenta: A Computatir altering heart rate and AP’s resistance and compliance. We also added a simple wave reflection model and studied its effect on pressure and flow traces. We found that reducing AP’s resistance increased mean flow, and reducing compliance decreased velocity PI. When adding the reflection model, the
作者: 颶風(fēng)    時間: 2025-3-30 17:34

作者: FEAS    時間: 2025-3-30 20:41
Going Off-Grid: Continuous Implicit Neural Representations for?3D Vascular Modelingnts on the surface. Second, we simultaneously fit nested vessel walls in a single INR without intersections. Third, we show how 3D models of individual arteries can be smoothly blended into a single watertight surface. Our results show that INRs are a flexible representation with potential for minim
作者: Tinea-Capitis    時間: 2025-3-31 04:54
Comparison of?Semi- and Un-Supervised Domain Adaptation Methods for?Whole-Heart Segmentationility across modalities and patients. Hence, the aim of this work was to develop a pipeline to perform automatic heart segmentation of multiple cardiac imaging scans, addressing the domain shift between MRs (target) and CTs (source). We trained two Domain Adaptation (DA) methods, using Generative Ad
作者: FLAX    時間: 2025-3-31 09:00

作者: 災(zāi)難    時間: 2025-3-31 10:00
An Atlas-Based Analysis of Biventricular Mechanics in Tetralogy of Fallotess the effect of perturbations in these ED shape modes on corresponding components of SWM. Perturbations to ED shape modes and myocardial contractility explained observed variation in SWM to varying degrees. In some cases, shape markers were partial determinants of systolic function and, in other c
作者: 控制    時間: 2025-3-31 17:26
Review of?Data Types and?Model Dimensionality for?Cardiac DTI SMS-Related Artefact Removaltuition, our experiments show that, for a fixed number of parameters, simpler 2D real-valued models outperform their more advanced 3D or complex counterparts. The best performance is although obtained by a real-valued model trained using both the magnitude and phase components of the acquired data.
作者: 音樂學(xué)者    時間: 2025-3-31 21:16
Improving Echocardiography Segmentation by?Polar Transformationhe segmentation model is trained on both .-. and .-. images. During inference, the predictions from the .-. and .-. images are combined using max-voting. We verify the efficacy of our method on the CAMUS dataset with a variety of segmentation networks, encoder networks, and loss functions. The exper
作者: Introduction    時間: 2025-4-1 00:27
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approachs a data-driven approach inspired by the PSM method to learn population-level spatiotemporal shape changes directly from shape data. We introduce a novel SSM optimization scheme that produces landmarks that are in correspondence both across the population (inter-subject) and across time-series (intr
作者: 用樹皮    時間: 2025-4-1 05:46
Interpretable Prediction of?Post-Infarct Ventricular Arrhythmia Using Graph Convolutional NetworkThis allows the model to process the data on the 3D patient anatomy and bypass the “grid" structure limitation of the traditional convolutional neural network. The model was trained and evaluated on a dataset of 600 patients (27. VA), using 451 (3/4) and 149 (1/4) patients as training and testing da
作者: follicle    時間: 2025-4-1 07:40
Unsupervised Echocardiography Registration Through Patch-Based MLPs and?Transformersansformers. We provide experiments on 2D-echocardiography registration to answer the former question partially and provide a benchmark solution. Our results on a large public 2D-echocardiography dataset show that the patch-based MLP/Transformer model can be effectively used for unsupervised echocard
作者: foodstuff    時間: 2025-4-1 10:33
Sensitivity Analysis of?Left Atrial Wall Modeling Approaches and?Inlet/Outlet Boundary Conditions in walls; 2) with a passive movement of the mitral valve annulus plane from a dynamic mesh approach based on springs (DM-SB); and 3) imposing LA wall deformation extracted from dynamic computed tomography (DM-dCT) images. Different strategies for the inlet/outlet boundary conditions were also tested.
作者: 自然環(huán)境    時間: 2025-4-1 16:16

作者: Banquet    時間: 2025-4-1 19:15

作者: 最小    時間: 2025-4-1 22:41
Maria Inmaculada Villanueva,Marc López,Sergio Sánchez,Patricia Garcia-Ca?adilla,Paula C. Randanne,Ammplexity results and lower bounds, giving negative evidence by way of W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds..All the results and concepts are introduced at a level acces978-3-319-35702-7978-3-319-21275-3
作者: 柔軟    時間: 2025-4-2 06:16





歡迎光臨 派博傳思國際中心 (http://pjsxioz.cn/) Powered by Discuz! X3.5
张家口市| 宜君县| 兴安盟| 育儿| 阜城县| 绥德县| 涡阳县| 乐清市| 乐都县| 阿拉尔市| 四川省| 双柏县| 松原市| 富川| 澄迈县| 伊宁县| 台前县| 旅游| 民权县| 芒康县| 浙江省| 钦州市| 彭水| 中阳县| 孟州市| 息烽县| 沙河市| 开原市| 横峰县| 布拖县| 镇原县| 永靖县| 牟定县| 三都| 读书| 礼泉县| 温宿县| 天峻县| 板桥市| 内丘县| 深州市|