標題: 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] 作者: Lactase 時間: 2025-3-21 19:14
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022影響因子(影響力)學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡公開度
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022網(wǎng)絡公開度學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022被引頻次學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022年度引用學科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2022讀者反饋學科排名
作者: jet-lag 時間: 2025-3-21 21:13
978-3-031-16445-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 膽小懦夫 時間: 2025-3-22 02:58 作者: 生命層 時間: 2025-3-22 06:45 作者: compassion 時間: 2025-3-22 09:02 作者: NICHE 時間: 2025-3-22 13:49
Unsupervised Deformable Image Registration with?Absent Correspondences in?Pre-operative and?Post-recs on 3D clinical data from the BraTS-Reg challenge demonstrate our method can improve image alignment compared to traditional and deep learning-based registration approaches with or without cost function masking strategy. The source code is available at ..作者: GLIDE 時間: 2025-3-22 18:10
ContraReg: Contrastive Learning of?Multi-modality Unsupervised Deformable Image Registrationtally, ContraReg achieves accurate and robust results with smooth and invertible deformations across a series of baselines and ablations on a neonatal T1-T2 brain MRI registration task with all methods validated over a wide range of deformation regularization strengths.作者: DEI 時間: 2025-3-23 00:02
Learning-Based US-MR Liver Image Registration with?Spatial Priorstechnique. This workflow was validated with . liver image data for 18 subjects. The best average TRE of rigid and non-rigid registration obtained with our dataset was at 6.27 ± 2.82?mm and 3.63 ± 1.87?mm, respectively.作者: 持久 時間: 2025-3-23 02:41 作者: 鞭子 時間: 2025-3-23 09:33
0302-9743 ational 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 in作者: Solace 時間: 2025-3-23 09:49 作者: COKE 時間: 2025-3-23 14:06
SVoRT: Iterative Transformer for?Slice-to-Volume Registration in?Fetal Brain MRIing state-of-the-art methods. Experiments with real-world MRI data are also performed to demonstrate the ability of the proposed model to improve the quality of 3D reconstruction under severe fetal motion.作者: atopic-rhinitis 時間: 2025-3-23 20:49
Double-Uncertainty Guided Spatial and?Temporal Consistency Regularization Weighting for?Learning-Basistent with that of the student model. More importantly, instead of searching for a fixed weight, the teacher enables automatically adjusting the weights of the spatial regularization and the temporal consistency regularization by taking advantage of the transformation uncertainty and appearance unc作者: defuse 時間: 2025-3-24 01:30
On the?Dataset Quality Control for?Image Registration Evaluationtasets, we identified and confirmed a small number of landmarks with potential localization errors and found that, in some cases, the landmark distribution was not ideal for an unbiased assessment of non-rigid registration errors. Under discussion, we provide some constructive suggestions for improv作者: Initial 時間: 2025-3-24 05:07
Dual-Branch Squeeze-Fusion-Excitation Module for?Cross-Modality Registration of?Cardiac SPECT and?CTinvestigated before. In this paper, we propose a Dual-Branch Squeeze-Fusion-Excitation (DuSFE) module for the registration of cardiac SPECT and CT-derived .-maps. DuSFE fuses the knowledge from multiple modalities to recalibrate both channel-wise and spatial features for each modality. DuSFE can be 作者: intuition 時間: 2025-3-24 09:58 作者: 豐滿有漂亮 時間: 2025-3-24 11:46
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning Network (NICE-Net) for deformable image registration. In the NICE-Net, we propose: (i) a Single-pass Deep Cumulative Learning (SDCL) decoder that can cumulatively learn coarse-to-fine transformations within a single pass (iteration) of the network, and (ii) a Selectively-propagated Feature Learning作者: 種植,培養(yǎng) 時間: 2025-3-24 17:38 作者: 饒舌的人 時間: 2025-3-24 19:48 作者: right-atrium 時間: 2025-3-25 00:01 作者: 調(diào)整 時間: 2025-3-25 04:20 作者: Baffle 時間: 2025-3-25 10:12
Deformer: Towards Displacement Field Learning for?Unsupervised Medical Image Registration multi-scale framework to predict the displacement fields in a coarse-to-fine manner, superior performance can be achieved compared with traditional and learning-based approaches. Comprehensive experiments on two public datasets are conducted to demonstrate the effectiveness of the proposed Deformer作者: AVOW 時間: 2025-3-25 13:43 作者: Obstruction 時間: 2025-3-25 16:28
Fast Spherical Mapping of?Cortical Surface Meshes Using Deep Unsupervised Learninges, for the first time, we propose a deep learning-based algorithm to learn the mapping between the original cortical surface and spherical surface meshes. Specifically, we take advantage of the Spherical U-Net model to learn the spherical diffeomorphic deformation field for minimizing the distortio作者: 外科醫(yī)生 時間: 2025-3-25 21:59
Conference proceedings 2022 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 simulation; mach作者: 一起 時間: 2025-3-26 00:52 作者: Onerous 時間: 2025-3-26 04:35 作者: visceral-fat 時間: 2025-3-26 10:56
Medical Image Computing and Computer Assisted Intervention – MICCAI 202225th International C作者: 手勢 時間: 2025-3-26 15:28 作者: 溫室 時間: 2025-3-26 18:52 作者: 生氣的邊緣 時間: 2025-3-27 00:15
Zhe Xu,Jie Luo,Donghuan Lu,Jiangpeng Yan,Sarah Frisken,Jayender Jagadeesan,William M. Wells III,Xiu , in light of the experiences accumulated since the end of the nineteenth century, adopted in the French and German societies towards “rapprochement” and “reconciliation” after the Second World War. Gradually, reconciliation has become a major part of Franco-German and even European heritage. Critic作者: gain631 時間: 2025-3-27 02:04
Tony C. W. Mok,Albert C. S. Chungction of communism and the acceptance of Western values would integrate Russia into the international community. However, instead of providing friendly support, Western countries—according to the narrative—used Russia’s compliance for their own ends. With the ascendency of President Vladimir Putin, 作者: BOLT 時間: 2025-3-27 07:03 作者: Ventilator 時間: 2025-3-27 12:30 作者: 提升 時間: 2025-3-27 17:11 作者: ESPY 時間: 2025-3-27 21:41
Zhehua Mao,Liang Zhao,Shoudong Huang,Yiting Fan,Alex P. W. Lee作者: Accede 時間: 2025-3-28 00:32 作者: Herpetologist 時間: 2025-3-28 05:46
Mohamed A. Suliman,Logan Z. J. Williams,Abdulah Fawaz,Emma C. Robinson作者: Melanoma 時間: 2025-3-28 07:18 作者: Harness 時間: 2025-3-28 13:49 作者: 門窗的側(cè)柱 時間: 2025-3-28 16:40 作者: Wallow 時間: 2025-3-28 22:03 作者: 高歌 時間: 2025-3-29 02:06
Qi Zeng,Shahed Mohammed,Emily H. T. Pang,Caitlin Schneider,Mohammad Honarvar,Julio Lobo,Changhong Hu作者: Kidnap 時間: 2025-3-29 03:27 作者: paroxysm 時間: 2025-3-29 09:59
nly through overt moral judgements but also more implicitly by narratives that label other nations or groups as aggressive and dangerous. From the perspective of democratic peacebuilding, history teaching has an obligation to endow young people with an understanding of how to free their minds from t作者: Optimum 時間: 2025-3-29 13:08
Junshen Xu,Daniel Moyer,P. Ellen Grant,Polina Golland,Juan Eugenio Iglesias,Elfar Adalsteinsson failure and triumph. Since 1648 the Peace of Westphalia has been brought up in diverse contexts of identity management in a national or international framework. As a result, this early modern treaty that concluded the Thirty Years’ War has a long history of being stereotyped in European history. By作者: 知識分子 時間: 2025-3-29 18:36
Zhe Xu,Jie Luo,Donghuan Lu,Jiangpeng Yan,Sarah Frisken,Jayender Jagadeesan,William M. Wells III,Xiu tion” as interpretative concepts and, on the other, the use of these terms in historical sources. In other words: the language of interpretation must not be confused with the language of sources. We need to study the historicity of such concepts in order to understand their reflection on the shared 作者: Trypsin 時間: 2025-3-29 22:10 作者: Hamper 時間: 2025-3-30 00:52
Jie Luo,Guangshen Ma,Nazim Haouchine,Zhe Xu,Yixin Wang,Tina Kapur,Lipeng Ning,William M. Wells III,Sion of problematic moments of Russian history. At the same time, it aims at evoking feelings of patriotism. This chapter compares different versions of this narrative by analysing current textbooks on Russia’s post-Soviet history with regard to the question of how they portray the West. With some va作者: Ostrich 時間: 2025-3-30 04:20
Xiongchao Chen,Bo Zhou,Huidong Xie,Xueqi Guo,Jiazhen Zhang,Albert J. Sinusas,John A. Onofrey,Chi Liuesem Trend in der Mediation.Mit hilfreichen Checklisten zur Dieses Buch legt dar, wie Mediation und andere konfliktkl?rende Gespr?chsformate unter den besonderen Bedingungen der Kommunikation im virtuellen Raum gelingen k?nnen. Seit Videokonferenz-Systeme browserbasiert und mit sehr guter Audio- und作者: 完整 時間: 2025-3-30 08:14 作者: maculated 時間: 2025-3-30 16:20
SVoRT: Iterative Transformer for?Slice-to-Volume Registration in?Fetal Brain MRI motion, is a challenging task that is highly sensitive to the initialization of slice-to-volume transformations. We propose a novel slice-to-volume registration method using Transformers trained on synthetically transformed data, which model multiple stacks of MR slices as a sequence. With the atte作者: 過去分詞 時間: 2025-3-30 19:11
Double-Uncertainty Guided Spatial and?Temporal Consistency Regularization Weighting for?Learning-Base solution space. For most learning-based registration approaches, the regularization usually has a fixed weight and only constrains the spatial transformation. Such convention has two limitations: (i) Besides the laborious grid search for the optimal fixed weight, the regularization strength of a s作者: geriatrician 時間: 2025-3-30 20:55 作者: Vertical 時間: 2025-3-31 03:15
On the?Dataset Quality Control for?Image Registration Evaluationnnotations is crucial for unbiased comparisons because registration algorithms are trained and tested using these landmarks. Even though some data providers claim to have mitigated the inter-observer variability by having multiple raters, quality control such as a third-party screening can still be 作者: fallible 時間: 2025-3-31 06:02 作者: Frequency 時間: 2025-3-31 12:43
Embedding Gradient-Based Optimization in?Image Registration Networksimal transformation in one fast forward-pass. In this work, we bridge the gap between traditional iterative energy optimization-based registration and network-based registration, and propose Gradient Descent Network for Image Registration (GraDIRN). Our proposed approach trains a DL network that emb作者: 沒有希望 時間: 2025-3-31 15:58
ContraReg: Contrastive Learning of?Multi-modality Unsupervised Deformable Image Registration-modality registration techniques maximize hand-crafted inter-domain similarity functions, are limited in modeling nonlinear intensity-relationships and deformations, and may require significant re-engineering or underperform on new tasks, datasets, and domain pairs. This work presents ContraReg, an作者: 思想 時間: 2025-3-31 17:33
Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for?Deformable Medical Image Registration Ue-of-the-art image registration methods are based on convolutional neural networks, few attempts have been made with Transformers which show impressive performance on computer vision tasks. Existing models neglect to employ attention mechanisms to handle the long-range cross-image relevance in embed作者: 博愛家 時間: 2025-4-1 01:04
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learningmoving images. Deep registration methods based on Convolutional Neural Networks (CNNs) have been widely used as they can perform image registration in a fast and end-to-end manner. However, these methods usually have limited performance for image pairs with large deformations. Recently, iterative de作者: Adherent 時間: 2025-4-1 03:10
DSR: Direct Simultaneous Registration for?Multiple 3D Imageswithout specifying any reference image, feature extraction and matching, or information loss or reuse. The algorithm optimizes the global poses of local image frames by maximizing the similarity between a predefined panoramic image and local images. Although we formulate the problem as a Direct Bund作者: Nomadic 時間: 2025-4-1 07:49
Multi-modal Retinal Image Registration Using a?Keypoint-Based Vessel Structure Aligning NetworkOCT angiography, are often involved to make a diagnosis of retinal disease. Multi-modal retinal registration techniques can assist ophthalmologists by providing a pixel-based comparison of aligned vessel structures in images from different modalities or acquisition times. To this end, we propose an
