標(biāo)題: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023; 26th International C Hayit Greenspan,Anant Madabhushi,Russell Tay [打印本頁(yè)] 作者: 厭倦了我 時(shí)間: 2025-3-21 19:53
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023影響因子(影響力)
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023影響因子(影響力)學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023網(wǎng)絡(luò)公開度
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023被引頻次
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023被引頻次學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023年度引用
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023年度引用學(xué)科排名
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023讀者反饋
書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2023讀者反饋學(xué)科排名
作者: periodontitis 時(shí)間: 2025-3-21 22:18
Shishuai Hu,Zehui Liao,Yong Xians thancheap banks. Furthermore, this book is the first to formally model the process of acceptance and rejection of loan applicants as a separate stage of the double-sided Bertrand game after banks have decided on their interest rates. It is shown that for fixed chosen interest rates, the deposit and loan vo978-3-658-44487-7978-3-658-44488-4作者: 鞭子 時(shí)間: 2025-3-22 04:08
Ziyang Zheng,Jiewen Yang,Xinpeng Ding,Xiaowei Xu,Xiaomeng Li Choice-based Conjoint Analyse. .Krippenauswahl mit dem Scoring-Modell. .Kinderzimmereinrichtung mit der Netzplantechnik. .Babyphone-Kauf mit der Two-step Clusteranalyse. .Text Mining von Babyratgebern. .Windelbestandsmanagement. .Make-or-Buy Babybrei. .Einschlafmanagement mit der logistischen Regre作者: Mettle 時(shí)間: 2025-3-22 07:43
Ziyang Chen,Yongsheng Pan,Yiwen Ye,Hengfei Cui,Yong Xia Choice-based Conjoint Analyse. .Krippenauswahl mit dem Scoring-Modell. .Kinderzimmereinrichtung mit der Netzplantechnik. .Babyphone-Kauf mit der Two-step Clusteranalyse. .Text Mining von Babyratgebern. .Windelbestandsmanagement. .Make-or-Buy Babybrei. .Einschlafmanagement mit der logistischen Regre作者: Hay-Fever 時(shí)間: 2025-3-22 08:58 作者: 極小量 時(shí)間: 2025-3-22 16:01
Tao Chen,Yitian Zhao,Lei Mou,Dan Zhang,Xiayu Xu,Mengting Liu,Huazhu Fu,Jiong Zhanggorisierung von Personen in Spannung zu anderen Bewertungsrationalit?ten steht, welche sich st?rker an den Anforderungen der interaktionsges?ttigten, ko-produktiven Anteile von personenbezogenen Dienstleistungsorganisationen orientieren. Somit führt nicht zuletzt der Umstand, dass es sich bei dem zu作者: Cantankerous 時(shí)間: 2025-3-22 17:20 作者: headlong 時(shí)間: 2025-3-22 22:16 作者: puzzle 時(shí)間: 2025-3-23 04:13
Medical Image Computing and Computer Assisted Intervention – MICCAI 202326th International C作者: CHECK 時(shí)間: 2025-3-23 08:05 作者: Muscularis 時(shí)間: 2025-3-23 09:42 作者: 河潭 時(shí)間: 2025-3-23 14:51
Jiameng Liu,Feihong Liu,Kaicong Sun,Mianxin Liu,Yuhang Sun,Yuyan Ge,Dinggang Shened by an outlook for the future...The didactic structure of the textbook includes learning objectives, practical examples and case studies as well as learning comprehension questions and the opportunity to test978-3-658-45021-2978-3-658-45022-9作者: 小樣他閑聊 時(shí)間: 2025-3-23 18:53
Liu Li,Qiang Ma,Cheng Ouyang,Zeju Li,Qingjie Meng,Weitong Zhang,Mengyun Qiao,Vanessa Kyriakopoulou,Jed by an outlook for the future...The didactic structure of the textbook includes learning objectives, practical examples and case studies as well as learning comprehension questions and the opportunity to test978-3-658-45021-2978-3-658-45022-9作者: 樸素 時(shí)間: 2025-3-24 00:57 作者: Myocarditis 時(shí)間: 2025-3-24 04:10 作者: 同步左右 時(shí)間: 2025-3-24 10:23 作者: chemoprevention 時(shí)間: 2025-3-24 11:04 作者: 用不完 時(shí)間: 2025-3-24 14:50 作者: grotto 時(shí)間: 2025-3-24 19:34
Devil is in?Channels: Contrastive Single Domain Generalization for?Medical Image Segmentationtrastive perspective that enables channel-wise feature disentanglement using a single source domain. We evaluated C.SDG against six SDG methods on a multi-domain joint optic cup and optic disc segmentation benchmark. Our results suggest the effectiveness of each module in C.SDG and also indicate tha作者: Canvas 時(shí)間: 2025-3-24 23:13
Transformer-Based Annotation Bias-Aware Medical Image Segmentationies to extract the different preference-focused features. This enables TAB to produce segmentation with various preferences simultaneously using a single segmentation head. Moreover, TAB takes the multivariant normal distribution assumption that models pixel correlations, and learns the annotation d作者: 送秋波 時(shí)間: 2025-3-25 04:49
Uncertainty-Informed Mutual Learning for?Joint Medical Image Classification and?Segmentationl, UML could produce confidence estimation in features and performance for each link (classification and segmentation). The experiments on the public datasets demonstrate that our UML outperforms existing methods in terms of both accuracy and robustness. Our UML has the potential to explore the deve作者: 媽媽不開心 時(shí)間: 2025-3-25 09:54
A General Stitching Solution for?Whole-Brain 3D Nuclei Instance Segmentation from?Microscopy Images NIS, particularly in addressing the issue of inter- and intra-slice gaps. We have evaluated the NIS accuracy on top of three state-of-the-art deep models with . image stacks, and visualized results in both inter- and intra-slice gaps of whole brain. With resolved gap issues, our deep stitching mode作者: Anticlimax 時(shí)間: 2025-3-25 13:08 作者: osteocytes 時(shí)間: 2025-3-25 19:45 作者: Expediency 時(shí)間: 2025-3-25 22:08
GL-Fusion: Global-Local Fusion Network for?Multi-view Echocardiogram Video Segmentations of cardiac structures from different views. Furthermore, we collect a multi-view echocardiogram video dataset (MvEVD) to evaluate our method. Our method achieves an 82.29% average dice score, which demonstrates a 7.83% improvement over the baseline method, and outperforms other existing state-of-t作者: 無(wú)情 時(shí)間: 2025-3-26 00:10 作者: 包租車船 時(shí)間: 2025-3-26 06:01
Diffusion Kinetic Model for?Breast Cancer Segmentation in?Incomplete DCE-MRItation module (SM) so that DKM is able to learn cancer hemodynamic information and provide a latent kinetic code to facilitate segmentation performance. Once the DM is pretrained, the latent code estimated from the DM is simply incorporated into the SM, which enables DKM to automatically and accurat作者: GRACE 時(shí)間: 2025-3-26 10:38
CAS-Net: Cross-View Aligned Segmentation by?Graph Representation of?Kneeses along the knee surface, and piece together these patch segmentations into a complete knee segmentation with help of the knee graph. Experiments conducted on the Osteoarthritis Initiative (OAI) dataset demonstrate the validity of the CAS-Net to generate accurate 3D segmentation.作者: hauteur 時(shí)間: 2025-3-26 15:30
One-Shot Traumatic Brain Segmentation with?Adversarial Training and?Uncertainty Rectificationamples to improve both the diversity of augmented data and the robustness of segmentation. Furthermore, potential label error introduced by learned transformations is rectified according to the uncertainty in segmentation. We validate the proposed method by the one-shot segmentation of consciousness作者: 不吉祥的女人 時(shí)間: 2025-3-26 19:49 作者: amorphous 時(shí)間: 2025-3-26 23:17
M-GenSeg: Domain Adaptation for?Target Modality Tumor Segmentation with?Annotation-Efficient Superviy. We evaluated the performance on a brain tumor segmentation dataset composed of four different contrast sequences from the public BraTS 2020 challenge data. We report consistent improvement in Dice scores over state-of-the-art domain-adaptive baselines on the unannotated target modality. Unlike th作者: Aggrandize 時(shí)間: 2025-3-27 02:24
Factor Space and?Spectrum for?Medical Hyperspectral Image Segmentationperiments show our strategy leads to remarkable performance gains in different 2D architectures, reporting an improvement up to . compared with its 2D counterpart in terms of DSC on a public Multi-Dimensional Choledoch dataset. Code is publicly available at ..作者: 遺棄 時(shí)間: 2025-3-27 05:57 作者: 彎彎曲曲 時(shí)間: 2025-3-27 10:16
QCResUNet: Joint Subject-Level and?Voxel-Level Prediction of?Segmentation Quality tumor segmentation QC. To train the proposed model, we created a wide variety of segmentation-quality results by using i) models that have been trained for a varying number of epochs with different modalities; and ii) a newly devised segmentation-generation method called SegGen. The proposed method作者: 浸軟 時(shí)間: 2025-3-27 17:19
Consistency-Guided Meta-learning for?Bootstrapping Semi-supervised Medical Image Segmentationloser to those of clean data, which is based on a small set of precisely annotated images. To facilitate the meta-learning process, we additionally introduce a consistency-based Pseudo Label Enhancement (PLE) scheme that improves the quality of the model’s own predictions by ensembling predictions f作者: 貿(mào)易 時(shí)間: 2025-3-27 19:08
Conference proceedings 2023 Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical application作者: overbearing 時(shí)間: 2025-3-28 01:12
Conference proceedings 2023rnational Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023..The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the followin作者: rheumatism 時(shí)間: 2025-3-28 05:26
0302-9743 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023..The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in th作者: 最后一個(gè) 時(shí)間: 2025-3-28 07:34
Category-Level Regularized Unlabeled-to-Labeled Learning for?Semi-supervised Prostate Segmentation w, semi-supervised learning (SSL) presents an attractive option as it can utilize both limited labeled data and abundant unlabeled data. However, if the local center has limited image collection capability, there may also not be enough unlabeled data for semi-supervised learning to be effective. To o作者: ADAGE 時(shí)間: 2025-3-28 11:20
Devil is in?Channels: Contrastive Single Domain Generalization for?Medical Image Segmentationsue, unsupervised domain adaptation and multi-source domain generalization methods have been proposed, which, however, are less favorable for clinical practice due to the cost of acquiring target-domain data and the privacy concerns associated with redistributing the data from multiple source domain作者: Osmosis 時(shí)間: 2025-3-28 16:19
Transformer-Based Annotation Bias-Aware Medical Image SegmentationRecently, researchers have suggested that such bias is the combination of the annotator preference and stochastic error, which are modeled by convolution blocks located after decoder and pixel-wise independent Gaussian distribution, respectively. It is unlikely that convolution blocks can effectivel作者: FRAX-tool 時(shí)間: 2025-3-28 21:52 作者: 進(jìn)取心 時(shí)間: 2025-3-28 23:03
A General Stitching Solution for?Whole-Brain 3D Nuclei Instance Segmentation from?Microscopy Imagesteractions within the larger tissue environment in the brain. Despite the significant progress in achieving accurate NIS within small image stacks using cutting-edge machine learning techniques, there has been a lack of effort to extend this approach towards whole-brain NIS from light-sheet microsco作者: Enzyme 時(shí)間: 2025-3-29 04:43
Adult-Like Phase and?Multi-scale Assistance for?Isointense Infant Brain Tissue Segmentationtomatically segment the brain tissues of a 6-month-old infant (isointense phase), even for manual labeling, due to inherent ongoing myelination during the first postnatal year. The intensity contrast between gray matter and white matter is extremely low in isointense MRI data. To resolve this proble作者: 闡釋 時(shí)間: 2025-3-29 08:10 作者: carotid-bruit 時(shí)間: 2025-3-29 12:01 作者: obtuse 時(shí)間: 2025-3-29 17:22 作者: Palpate 時(shí)間: 2025-3-29 22:20
Diffusion Kinetic Model for?Breast Cancer Segmentation in?Incomplete DCE-MRIal kinetic characteristics and deep learning to improve segmentation performance. However, the difficulty in accessing complete temporal sequences, especially post-contrast images, hinders segmentation performance, generalization ability and clinical application of existing methods. In this work, we作者: ECG769 時(shí)間: 2025-3-30 00:15
CAS-Net: Cross-View Aligned Segmentation by?Graph Representation of?Kneesple views with stacked 2D slices, ensuring diagnosis accuracy while saving scanning time. However, obtaining fine 3D knee segmentation from multi-view 2D scans is challenging, which is yet necessary for morphological analysis. Moreover, radiologists need to annotate the knee segmentation in multiple作者: HAUNT 時(shí)間: 2025-3-30 04:49
One-Shot Traumatic Brain Segmentation with?Adversarial Training and?Uncertainty Rectificationimited by the lack of annotated data. One-shot segmentation based on learned transformations (OSSLT) has emerged as a powerful tool to overcome the limitations of insufficient training samples, which involves learning spatial and appearance transformations to perform data augmentation, and learning 作者: painkillers 時(shí)間: 2025-3-30 11:05 作者: 清楚 時(shí)間: 2025-3-30 16:23 作者: uveitis 時(shí)間: 2025-3-30 18:26 作者: 單獨(dú) 時(shí)間: 2025-3-31 00:08
RBGNet: Reliable Boundary-Guided Segmentation of?Choroidal Neovascularizations non-invasive CNV visualization with micrometerscale resolution, aiding precise extraction and analysis. Nevertheless, the irregular shape patterns, variable scales, and blurred lesion boundaries of CNVs present challenges for their precise segmentation in OCTA images. In this study, we propose a .作者: 大酒杯 時(shí)間: 2025-3-31 01:40 作者: Brain-Imaging 時(shí)間: 2025-3-31 08:44
Consistency-Guided Meta-learning for?Bootstrapping Semi-supervised Medical Image Segmentationy to obtain. To alleviate this burden, semi-supervised learning has garnered attention as a potential solution. In this paper, we present .eta-.earning for .ootstrapping Medical Image .mentation (MLB-Seg), a novel method for tackling the challenge of semi-supervised medical image segmentation. Speci作者: painkillers 時(shí)間: 2025-3-31 10:34
Zhe Xu,Donghuan Lu,Jiangpeng Yan,Jinghan Sun,Jie Luo,Dong Wei,Sarah Frisken,Quanzheng Li,Yefeng Zhens and lenders are allowed to switch market sides. Thus, investors do not only base their decisions on loan rates, but also on opportunity costs in the form of deposit rates. Credit rationing may occur if adverse selection due to borrowers’ informational advantage leads to a lower expected return on 作者: acolyte 時(shí)間: 2025-3-31 16:16 作者: evaculate 時(shí)間: 2025-3-31 21:04
Ziquan Wei,Tingting Dan,Jiaqi Ding,Mustafa Dere,Guorong Wucomprehension questions.Test your knowledge with questions a.Organizations of all kinds create a sense of purpose and sometimes incomparable performance that individuals cannot achieve alone. This textbook examines the developments and changes that organizations should make in order to be successful作者: 遺棄 時(shí)間: 2025-3-31 22:47
Jiameng Liu,Feihong Liu,Kaicong Sun,Mianxin Liu,Yuhang Sun,Yuyan Ge,Dinggang Shencomprehension questions.Test your knowledge with questions a.Organizations of all kinds create a sense of purpose and sometimes incomparable performance that individuals cannot achieve alone. This textbook examines the developments and changes that organizations should make in order to be successful作者: OUTRE 時(shí)間: 2025-4-1 02:56
Liu Li,Qiang Ma,Cheng Ouyang,Zeju Li,Qingjie Meng,Weitong Zhang,Mengyun Qiao,Vanessa Kyriakopoulou,Jcomprehension questions.Test your knowledge with questions a.Organizations of all kinds create a sense of purpose and sometimes incomparable performance that individuals cannot achieve alone. This textbook examines the developments and changes that organizations should make in order to be successful作者: critic 時(shí)間: 2025-4-1 08:41 作者: 催眠藥 時(shí)間: 2025-4-1 12:51
Ziyang Chen,Yongsheng Pan,Yiwen Ye,Hengfei Cui,Yong Xia mit maximaler sozialer Anerkennung müssen gefunden werden. Nach der Geburt wird es nicht einfacher! Wie viele Windeln muss ich vorr?tig halten? Wie bestimme ich die kürzeste Kinderwagentour zwischen B?ckerei, Spielplatz, Apotheke, Supermarkt und Drogeriemarkt? Viele Unw?gbarkeiten machen das Eltern作者: Coronary-Spasm 時(shí)間: 2025-4-1 16:12
Boxiang Yun,Qingli Li,Lubov Mitrofanova,Chunhua Zhou,Yan WangVerkettung von personenbezogenen Bewertungsprozessen widmet. Auf der Grundlage einer empirischen Studie zur Verwendung von Risikoeinsch?tzungs- und Dokumentationsb?gen im organisierten Kinderschutz zeigt der Beitrag, dass diese Bewertungspraktiken über verschiedene Sites hinweg koordinieren und dere作者: harmony 時(shí)間: 2025-4-1 21:08
Tao Chen,Yitian Zhao,Lei Mou,Dan Zhang,Xiayu Xu,Mengting Liu,Huazhu Fu,Jiong ZhangVerkettung von personenbezogenen Bewertungsprozessen widmet. Auf der Grundlage einer empirischen Studie zur Verwendung von Risikoeinsch?tzungs- und Dokumentationsb?gen im organisierten Kinderschutz zeigt der Beitrag, dass diese Bewertungspraktiken über verschiedene Sites hinweg koordinieren und dere作者: d-limonene 時(shí)間: 2025-4-2 02:10 作者: 無(wú)脊椎 時(shí)間: 2025-4-2 02:51
Qingyue Wei,Lequan Yu,Xianhang Li,Wei Shao,Cihang Xie,Lei Xing,Yuyin Zhoueren. Unser Beitrag entwickelt diese Argumentationslinie weiter und fragt danach, was wir über die organisierte Personenbewertung lernen, wenn wir das Zusammenspiel von Organisation und Bewertung im Hinblick auf ?soziale Abf?lle“ untersuchen. Eines ist klar, sowohl Organisationen als auch Bewertunge
