標(biāo)題: Titlebook: Machine Learning in Medical Imaging; 13th International W Chunfeng Lian,Xiaohuan Cao,Zhiming Cui Conference proceedings 2022 Springer Natur [打印本頁] 作者: Dangle 時(shí)間: 2025-3-21 18:43
書目名稱Machine Learning in Medical Imaging影響因子(影響力)
書目名稱Machine Learning in Medical Imaging影響因子(影響力)學(xué)科排名
書目名稱Machine Learning in Medical Imaging網(wǎng)絡(luò)公開度
書目名稱Machine Learning in Medical Imaging網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning in Medical Imaging被引頻次
書目名稱Machine Learning in Medical Imaging被引頻次學(xué)科排名
書目名稱Machine Learning in Medical Imaging年度引用
書目名稱Machine Learning in Medical Imaging年度引用學(xué)科排名
書目名稱Machine Learning in Medical Imaging讀者反饋
書目名稱Machine Learning in Medical Imaging讀者反饋學(xué)科排名
作者: intercede 時(shí)間: 2025-3-21 23:28
Yongsong Huang,Qingzhong Wang,Shinichiro Omachi involve a surprisingly small set of conserved functions, most of which have been the focus of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm作者: jet-lag 時(shí)間: 2025-3-22 00:27
Xin You,Yun Gu,Junjun He,Hui Sun,Jie Yang involve a surprisingly small set of conserved functions, most of which have been the focus of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm作者: Ceremony 時(shí)間: 2025-3-22 05:22
Yunxiang Li,Ruilong Dan,Shuai Wang,Yifan Cao,Xiangde Luo,Chenghao Tan,Gangyong Jia,Huiyu Zhou,You Zh involve a surprisingly small set of conserved functions, most of which have been the focus of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm作者: 狂熱文化 時(shí)間: 2025-3-22 12:31 作者: 破布 時(shí)間: 2025-3-22 13:28
Ziang Xu,Sharib Ali,Soumya Gupta,Simon Leedham,James E. East,Jens Rittscher a progressive decline of global procoagulant factors and inhibitory coagulation parameters. At least by this stage, treatment should include the administration of antithrombin III (AT III) concentrates, dosed according to body weight, to maintain AT III activity at levels above 80% and thus reduce 作者: 和平 時(shí)間: 2025-3-22 18:57
Xi Chen,Jiahuan Lv,Dehua Feng,Xuanqin Mou,Ling Bai,Shu Zhang,Zhiguo Zhou a progressive decline of global procoagulant factors and inhibitory coagulation parameters. At least by this stage, treatment should include the administration of antithrombin III (AT III) concentrates, dosed according to body weight, to maintain AT III activity at levels above 80% and thus reduce 作者: Arresting 時(shí)間: 2025-3-23 00:44
Loic Themyr,Clément Rambour,Nicolas Thome,Toby Collins,Alexandre Hostettler The greatest risk to patients is from new vascular occlusions..The principal antigen of type II HIT is a multimolecular complex composed of platelet factor 4 and heparin. The HIT antibodies bind to platelets and activate them via their Fc component and platelet Fc receptor II. HIT antibodies also b作者: overreach 時(shí)間: 2025-3-23 05:16 作者: 無表情 時(shí)間: 2025-3-23 06:52
Govind Jeevan,S. J. Pawan,Jeny Rajans for acquired disorders of coagulation have been developed and form a new basis for therapeutic strategies. Despite this progress, many physicians are aware of the problem that, especially for intensive care patients, a treatment very often has to be selected before diagnostic procedures can be completed. We978-3-540-61475-3978-3-642-60490-4作者: uncertain 時(shí)間: 2025-3-23 13:19
,Function MRI Representation Learning via?Self-supervised Transformer for?Automated Brain Disorder Aal information of FCNs for MDD diagnosis. Experimental results on 282 MDD patients and 251 healthy control (HC) subjects demonstrate that our method outperforms several competing methods in MDD identification based on rs-fMRI data. Besides, based on our learned fully connected graphs, we can detect 作者: elastic 時(shí)間: 2025-3-23 17:39
,Predicting Age-related Macular Degeneration Progression with?Longitudinal Fundus Images Using Deep baselines on the Age-Related Eye Disease Study, one of the largest longitudinal AMD cohorts with CFPs. The proposed models outperformed the baseline models that utilized only single-visit CFPs to predict the risk of late AMD (0.879 vs 0.868 in AUC for 2-year prediction, and 0.879 vs 0.862 for 5-year作者: 誰在削木頭 時(shí)間: 2025-3-23 21:53
,Region-Guided Channel-Wise Attention Network for?Accelerated MRI Reconstruction,l networks. To address this issue, we propose a novel channel-wise attention which is implemented under the guidance of implicitly learned spatial semantics. We incorporate the proposed attention module in a deep network cascade for fast MRI reconstruction. In experiments, we demonstrate that the pr作者: 取消 時(shí)間: 2025-3-24 02:12 作者: 內(nèi)部 時(shí)間: 2025-3-24 04:14
,Rethinking Degradation: Radiograph Super-Resolution via?AID-SRGAN, its counterparts. ., our proposed method achieves 31.90 of PSNR with a scale factor of ., which is 7.05% higher than that obtained by recent work, SPSR ?[.]. Our dataset and code will be made available at: ..作者: 飲料 時(shí)間: 2025-3-24 07:02
,3D Segmentation with?Fully Trainable Gabor Kernels and?Pearson’s Correlation Coefficient,ccurate, robust to learning rates, and does not require manual weight selections. Experiments on 43 3D brain magnetic resonance images with 19 anatomical structures show that, using the proposed loss function with a proper combination of conventional and Gabor-based kernels, we can train a network w作者: GUILE 時(shí)間: 2025-3-24 13:01
,A More Design-Flexible Medical Transformer for?Volumetric Image Segmentation,onal information of each 3D patch. Positional bias can also enrich attention diversities. Moreover, we give detailed reasons why we choose the convolution-based decoder instead of recently proposed Swin Transformer blocks after preliminary experiments on the decoder design. Finally, we propose the C作者: happiness 時(shí)間: 2025-3-24 16:56 作者: 粘土 時(shí)間: 2025-3-24 20:36
,Plug-and-Play Shape Refinement Framework for?Multi-site and?Lifespan Brain Skull Stripping, multi-site and lifespan skull stripping. To deal with the domain shift between multi-site lifespan datasets, we take advantage of the brain shape prior, which is invariant to imaging parameters and ages. Experiments demonstrate that our framework can outperform the state-of-the-art methods on multi作者: MAZE 時(shí)間: 2025-3-25 00:12 作者: upstart 時(shí)間: 2025-3-25 04:58
,Patch-Level Instance-Group Discrimination with?Pretext-Invariant Learning for?Colitis Scoring,k and several state-of-the-art SSL methods. Compared to the baseline (ResNet50) supervised classification our proposed PLD-PIRL obtained an improvement of 4.75% on hold-out test data and 6.64% on unseen center test data for top-1 accuracy.作者: radiograph 時(shí)間: 2025-3-25 11:13
,Whole Mammography Diagnosis via?Multi-instance Supervised Discriminative Localization and?Classificngthen localization ability of small lesions. A classification branch is used after the encoder to jointly train lesion classification and segmentation. The instance-based outputs are merged into the image-level both for segmentation and classification (SegMap and ClsMap). In step two, a whole mammo作者: follicular-unit 時(shí)間: 2025-3-25 15:15 作者: Melanoma 時(shí)間: 2025-3-25 16:21
,U-Net vs Transformer: Is U-Net Outdated in?Medical Image Registration?,he proposed LKU-Net outperforms TransMorph by using only 1.12% of its parameters and 10.8% of its mult-adds operations. We further evaluate LKU-Net on a MICCAI Learn2Reg 2021 challenge dataset for inter-subject registration, our LKU-Net also outperforms TransMorph on this dataset and ranks first on 作者: 不出名 時(shí)間: 2025-3-25 20:37 作者: 長處 時(shí)間: 2025-3-26 01:33 作者: 彈藥 時(shí)間: 2025-3-26 08:17
Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Tr is used for tissue appearance of the lung while both together provide motion characteristics. Our ablation study shows that incorporating tissue appearance and lung motion accurately classifies all patients with different types and severity of emphysema against the non-emphysema cases. In addition作者: set598 時(shí)間: 2025-3-26 11:48 作者: 毗鄰 時(shí)間: 2025-3-26 14:46
s of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm978-1-61779-747-7978-1-60327-507-1作者: STING 時(shí)間: 2025-3-26 20:52
Junghwan Lee,Tingyi Wanyan,Qingyu Chen,Tiarnan D. L. Keenan,Benjamin S. Glicksberg,Emily Y. Chew,Zhis of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm978-1-61779-747-7978-1-60327-507-1作者: Creatinine-Test 時(shí)間: 2025-3-27 00:46 作者: 自制 時(shí)間: 2025-3-27 03:47
Linkai Peng,Li Lin,Pujin Cheng,Huaqing He,Xiaoying Tangs of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm978-1-61779-747-7978-1-60327-507-1作者: 辮子帶來幫助 時(shí)間: 2025-3-27 06:41
Ken C. L. Wong,Mehdi Moradis of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm978-1-61779-747-7978-1-60327-507-1作者: avarice 時(shí)間: 2025-3-27 13:26 作者: critic 時(shí)間: 2025-3-27 13:45 作者: Fibroid 時(shí)間: 2025-3-27 19:48 作者: 同音 時(shí)間: 2025-3-28 02:00
,Function MRI Representation Learning via?Self-supervised Transformer for?Automated Brain Disorder Asonance imaging (rs-fMRI) has been used to capture abnormality or dysfunction functional connectivity networks for automated MDD detection. A functional connectivity network (FCN) of each subject derived from rs-fMRI data can be modeled as a graph consisting of nodes and edges. Graph neural networks作者: 龍卷風(fēng) 時(shí)間: 2025-3-28 04:28
,Predicting Age-related Macular Degeneration Progression with?Longitudinal Fundus Images Using Deep e. While existing risk prediction models for progression to late AMD are useful for triaging patients, none utilizes longitudinal color fundus photographs (CFPs) in a patient’s history to estimate the risk of late AMD in a given subsequent time interval. In this work, we seek to evaluate how deep ne作者: Ardent 時(shí)間: 2025-3-28 07:39
,Region-Guided Channel-Wise Attention Network for?Accelerated MRI Reconstruction,rs its development in time-critical applications. In recent years, deep learning-based methods leverage the powerful representations of neural networks to recover high-quality MR images from undersampled measurements, which shortens the acquisition process and enables accelerated MRI scanning. Despi作者: Incumbent 時(shí)間: 2025-3-28 11:24
,Student Becomes Decathlon Master in?Retinal Vessel Segmentation via?Dual-Teacher Multi-target Domaiributions. However, most of them only focus on single-target domain adaptation and cannot be applied to the scenario with multiple target domains. In this paper, we propose RVms, a novel unsupervised multi-target domain adaptation approach to segment retinal vessels (RVs) from multimodal and multice作者: ALTER 時(shí)間: 2025-3-28 18:22 作者: 外來 時(shí)間: 2025-3-28 20:40 作者: 人造 時(shí)間: 2025-3-29 00:32
,A More Design-Flexible Medical Transformer for?Volumetric Image Segmentation, encoders, decoders and skip connections. Due to the intrinsic property of convolutional kernels, convolution-based encoders suffer from limited receptive fields. To deal with that, recently proposed Transformer-based networks leveraging the self-attention mechanism build long-range dependency. Howe作者: Collected 時(shí)間: 2025-3-29 06:14
,Dcor-VLDet: A Vertebra Landmark Detection Network for?Scoliosis Assessment with?Dual Coordinate Sysprove cure rates and the quality of life for patients. The spinal disease assessment relies primarily on accurate vertebra landmark detection, such as scoliosis assessment. However, existing approaches do not adequately exploit the relationships between vertebrae and analyze the global spine structu作者: transplantation 時(shí)間: 2025-3-29 11:10
,Plug-and-Play Shape Refinement Framework for?Multi-site and?Lifespan Brain Skull Stripping,een proposed, they suffer from low generalization capability. For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters. Especially, for the lifespan datasets, the model trained on an adult dataset is not 作者: Tremor 時(shí)間: 2025-3-29 13:12
,A Coarse-to-Fine Network for?Craniopharyngioma Segmentation,uity, visual field disorders, and pituitary hypothalamus dysfunction. Segmentation of CP is an essential prerequisite in the diagnosis, screening, and treatment. Also, It’s a challenging task due to the indistinguishable borders, the small tumor size, and high diversity in size, shape, and texture. 作者: lymphoma 時(shí)間: 2025-3-29 18:25
,Patch-Level Instance-Group Discrimination with?Pretext-Invariant Learning for?Colitis Scoring,ation and therapy monitoring. Presently, endoscopic characterisation is largely operator dependant leading to sometimes undesirable clinical outcomes for patients with IBD. We focus on the Mayo Endoscopic Scoring (MES) system which is widely used but requires the reliable identification of subltle c作者: Benign 時(shí)間: 2025-3-29 21:40 作者: 可忽略 時(shí)間: 2025-3-30 00:51 作者: ZEST 時(shí)間: 2025-3-30 08:01 作者: Compass 時(shí)間: 2025-3-30 09:16 作者: 瘋狂 時(shí)間: 2025-3-30 16:13 作者: TEM 時(shí)間: 2025-3-30 19:35
,UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for?Endoscopic Image Segmentation,f region-of-interest (ROI) that includes lesions, inflammations, and instruments can serve to cope with the operator dependence problem in this field. Most supervised methods are developed by fitting models on the available ground truth mask samples only. This work proposes a joint training approach作者: 籠子 時(shí)間: 2025-3-30 23:21
,Dynamic Linear Transformer for?3D Biomedical Image Segmentation,modeling from the self-attention mechanism. However, most methods are still designed for 2D medical images while ignoring the essential 3D volume information. The main challenge for 3D Transformer-based segmentation methods is the quadratic complexity introduced by the self-attention mechanism [.]. 作者: MOTTO 時(shí)間: 2025-3-31 02:48 作者: Valves 時(shí)間: 2025-3-31 06:34
mmon pathways that modulate longevity.Provides overview of r.In recent years, remarkable discoveries have been made concerning the underlying mechanisms of aging. In Life-Span Extension: Single-Cell Organisms to Man, the editors bring together a range of illuminating perspectives from researchers in作者: 腐敗 時(shí)間: 2025-3-31 12:20
Qianqian Wang,Lishan Qiao,Mingxia Liuo Man, the editors bring together a range of illuminating perspectives from researchers investigating the aging process in a variety of species. This novel work addresses the aging process in species ranging from yeast to man and, among other subjects, features detailed discussions of the naked mole作者: LUCY 時(shí)間: 2025-3-31 16:41
Junghwan Lee,Tingyi Wanyan,Qingyu Chen,Tiarnan D. L. Keenan,Benjamin S. Glicksberg,Emily Y. Chew,Zhimmon pathways that modulate longevity.Provides overview of r.In recent years, remarkable discoveries have been made concerning the underlying mechanisms of aging. In Life-Span Extension: Single-Cell Organisms to Man, the editors bring together a range of illuminating perspectives from researchers in作者: 哀悼 時(shí)間: 2025-3-31 18:26
Jingshuai Liu,Chen Qin,Mehrdad Yaghoobimmon pathways that modulate longevity.Provides overview of r.In recent years, remarkable discoveries have been made concerning the underlying mechanisms of aging. In Life-Span Extension: Single-Cell Organisms to Man, the editors bring together a range of illuminating perspectives from researchers in作者: considerable 時(shí)間: 2025-4-1 00:39 作者: CLEFT 時(shí)間: 2025-4-1 02:23
Yongsong Huang,Qingzhong Wang,Shinichiro Omachio Man, the editors bring together a range of illuminating perspectives from researchers investigating the aging process in a variety of species. This novel work addresses the aging process in species ranging from yeast to man and, among other subjects, features detailed discussions of the naked mole作者: antedate 時(shí)間: 2025-4-1 07:55
Ken C. L. Wong,Mehdi Moradimmon pathways that modulate longevity.Provides overview of r.In recent years, remarkable discoveries have been made concerning the underlying mechanisms of aging. In Life-Span Extension: Single-Cell Organisms to Man, the editors bring together a range of illuminating perspectives from researchers in作者: 橢圓 時(shí)間: 2025-4-1 10:42 作者: 不可思議 時(shí)間: 2025-4-1 17:02 作者: Certainty 時(shí)間: 2025-4-1 19:00
Yunxiang Li,Ruilong Dan,Shuai Wang,Yifan Cao,Xiangde Luo,Chenghao Tan,Gangyong Jia,Huiyu Zhou,You Zho Man, the editors bring together a range of illuminating perspectives from researchers investigating the aging process in a variety of species. This novel work addresses the aging process in species ranging from yeast to man and, among other subjects, features detailed discussions of the naked mole
