標(biāo)題: Titlebook: OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging; Second International Luping Zhou,Duygu Sarikaya,Hong [打印本頁(yè)] 作者: Cleveland 時(shí)間: 2025-3-21 19:23
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging影響因子(影響力)
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging影響因子(影響力)學(xué)科排名
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging網(wǎng)絡(luò)公開度
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging被引頻次
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging被引頻次學(xué)科排名
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging年度引用
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging年度引用學(xué)科排名
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging讀者反饋
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging讀者反饋學(xué)科排名
作者: 枕墊 時(shí)間: 2025-3-21 20:33 作者: MOAN 時(shí)間: 2025-3-22 03:29
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/o/image/700048.jpg作者: 一再煩擾 時(shí)間: 2025-3-22 05:44
https://doi.org/10.1007/978-3-030-32695-1artificial intelligence; computer vision; image analysis; image reconstruction; imaging systems; multi-sp作者: grovel 時(shí)間: 2025-3-22 12:31
lus bleibt, wie die Diskussion im Teil 2 gezeigt hat, vielfach unerfüllt. Dieses ist nicht nur auf die allgemeine Komplexit?t der Problemstellung zurückzuführen, sondern liegt nicht zuletzt darin begründet, da? sich mit der st?rkeren Differenzierung der Phasen zwangsl?ufig auch die Notwendigkeit ein作者: Accommodation 時(shí)間: 2025-3-22 14:57
lus bleibt, wie die Diskussion im Teil 2 gezeigt hat, vielfach unerfüllt. Dieses ist nicht nur auf die allgemeine Komplexit?t der Problemstellung zurückzuführen, sondern liegt nicht zuletzt darin begründet, da? sich mit der st?rkeren Differenzierung der Phasen zwangsl?ufig auch die Notwendigkeit ein作者: DEFER 時(shí)間: 2025-3-22 20:16 作者: projectile 時(shí)間: 2025-3-22 23:00 作者: alcohol-abuse 時(shí)間: 2025-3-23 04:26
V. Vishal,Neeraj Sharma,Munendra Singh genes as well as the complete genome for manymicro-organisms. Subsequently it is hoped, by means of powerfulbioinformatic tools, to determine the gene variants that contribute tovarious multifactorial diseases and genes that exist in certaininfectious agents but not humans. As a consequence, this w作者: Orgasm 時(shí)間: 2025-3-23 07:35 作者: 虛假 時(shí)間: 2025-3-23 12:56 作者: Scleroderma 時(shí)間: 2025-3-23 16:30
Chin-Boon Chng,Pooi-Mun Wong,Nicholas Ho,Xiaoyu Tan,Chee-Kong Chuis also known today that they are the most sensitive regions to climatic change, and are thus perfect case studies for the detection of such changes. The most serious obstacle to the study of climatic and other geographical elements of the polar areas (including the Arctic) has always been the severe作者: exophthalmos 時(shí)間: 2025-3-23 18:54
s also known today that they are the most sensitive regions to climatic change, and are thus perfect case studies for the detection of such changes. The most serious obstacle to the study of climatic and other geographical elements of the polar areas (including the Arctic) has always been the severe作者: 粗鄙的人 時(shí)間: 2025-3-23 23:19 作者: 驕傲 時(shí)間: 2025-3-24 04:03
Mauricio Orbes-Arteainst,Jorge Cardoso,Lauge S?rensen,Christian Igel,Sebastien Ourselin,Marc Modat,Ms also known today that they are the most sensitive regions to climatic change, and are thus perfect case studies for the detection of such changes. The most serious obstacle to the study of climatic and other geographical elements of the polar areas (including the Arctic) has always been the severe作者: 顧客 時(shí)間: 2025-3-24 09:25
Maria Ines Meyer,Ezequiel de la Rosa,Koen Van Leemput,Diana M. Simas also known today that they are the most sensitive regions to climatic change, and are thus perfect case studies for the detection of such changes. The most serious obstacle to the study of climatic and other geographical elements of the polar areas (including the Arctic) has always been the severe作者: lanugo 時(shí)間: 2025-3-24 12:40 作者: 憤怒歷史 時(shí)間: 2025-3-24 18:52
Ahmed El-Gazzar,Mirjam Quaak,Leonardo Cerliani,Peter Bloem,Guido van Wingen,Rajat Mani Thomass also known today that they are the most sensitive regions to climatic change, and are thus perfect case studies for the detection of such changes. The most serious obstacle to the study of climatic and other geographical elements of the polar areas (including the Arctic) has always been the severe作者: Host142 時(shí)間: 2025-3-24 21:23
Florian Dubost,Max Dünnwald,Denver Huff,Vincent Scheumann,Frank Schreiber,Meike Vernooij,Wiro Niesseates. It is also known today that they are the most sensitive regions to climatic change, and are thus perfect case studies for the detection of such changes. The most serious obstacle to the study of climatic and other geographical elements of the polar areas (including the Arctic) has always been 作者: 吞吞吐吐 時(shí)間: 2025-3-25 02:55
s also known today that they are the most sensitive regions to climatic change, and are thus perfect case studies for the detection of such changes. The most serious obstacle to the study of climatic and other geographical elements of the polar areas (including the Arctic) has always been the severe作者: 玷污 時(shí)間: 2025-3-25 06:15
Feature Aggregation Decoder for Segmenting Laparoscopic Scenesion. Scene segmentation approaches often rely on encoder-decoder architectures that encode a representation of the input to be decoded to semantic pixel labels. In this paper, we propose to use the deep . model for the encoder and a simple yet effective decoder that relies on a feature aggregation m作者: 小畫像 時(shí)間: 2025-3-25 08:17
Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectoally driven guidewires replace manual insertion and leave the surgeon the task of planning optimal trajectories based on segmentation of associated risk structures. However, such a pipeline brings new challenges. While Deep learning based segmentation such as U-Net can achieve outstanding Dice score作者: 漸強(qiáng) 時(shí)間: 2025-3-25 14:48 作者: integrated 時(shí)間: 2025-3-25 18:14
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Dnt success of deep learning-based methods in computer vision, several neural network approaches have been proposed for fully automatic RSD prediction based solely on visual data from the endoscopic camera. We investigate whether RSD prediction can be improved using unsupervised temporal video segmen作者: interlude 時(shí)間: 2025-3-25 22:45 作者: ABASH 時(shí)間: 2025-3-26 00:23 作者: negligence 時(shí)間: 2025-3-26 05:12
Deep Transfer Learning for Whole-Brain FMRI Analyses often hindered by the small sample size and high dimensionality of these datasets. Especially, in clinical settings, where patient data are scarce. In this work, we demonstrate that transfer learning represents a solution to this problem. Particularly, we show that a DL model, which has been previo作者: EWER 時(shí)間: 2025-3-26 10:06 作者: 別炫耀 時(shí)間: 2025-3-26 14:19 作者: Aviary 時(shí)間: 2025-3-26 18:00
Data Pooling and Sampling of?Heterogeneous Image Data for White Matter Hyperintensity Segmentationen training Deep Neural Networks (DNN) to segment WMH, data pooling may be used to increase the training dataset size. However, it is not yet fully understood how pooling of heterogeneous data influences the segmentation performance. In this contribution, we investigate the impact of sampling ratios作者: Headstrong 時(shí)間: 2025-3-27 00:36
A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism ClassificaMRI scans are represented as 4-Dimensional (3-space + 1-time) tensors. And it is widely believed that the spatio-temporal patterns in fMRI manifests as behaviour and clinical symptoms. Because of the high dimensionality (.1 Million) of fMRI, and the added constraints of limited cardinality of data s作者: 放肆的你 時(shí)間: 2025-3-27 02:39 作者: scrutiny 時(shí)間: 2025-3-27 06:01 作者: 不規(guī)則的跳動(dòng) 時(shí)間: 2025-3-27 12:28 作者: 慟哭 時(shí)間: 2025-3-27 17:05 作者: avenge 時(shí)間: 2025-3-27 18:05
Deep Transfer Learning for Whole-Brain FMRI Analysesch is trained from scratch, when both are applied to the data of a new, unrelated fMRI task. The pre-trained DL model variant is able to correctly decode 67.51% of the cognitive states from a test dataset with 100 individuals, when fine-tuned on a dataset of the size of only three subjects.作者: 哀求 時(shí)間: 2025-3-28 01:55 作者: Liability 時(shí)間: 2025-3-28 03:38
Conference proceedings 2019nternational Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019...For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, s作者: 大方不好 時(shí)間: 2025-3-28 07:26 作者: progestogen 時(shí)間: 2025-3-28 11:48
trachtung einer einzelnen Stufe, eines einzelnen Prozesses oder im Extremfall einer speziellen Maschine. In manchen Studien wird auch der Flu? eines bestimmten Stoffes in den Mittelpunkt der Untersuchung gerückt. Die abgeleiteten Schlüsse bleiben aber bei derartigen Betrachtungen notwendigerweise un作者: Ballerina 時(shí)間: 2025-3-28 14:54 作者: Moderate 時(shí)間: 2025-3-28 20:21
V. Vishal,Neeraj Sharma,Munendra Singhtic relevance of such newlydiscovered targets. Accordingly, it can be expected that in the nearfuture we will witness a substantial increase in novel putativetargets for drugs. To address these new targets effectively, werequire new approaches and innovative tools. At present, twoalternative, yet complementar978-90-481-5584-2978-0-306-46883-4作者: Motilin 時(shí)間: 2025-3-29 00:37
Dominik Rivoir,Sebastian Bodenstedt,Felix von Bechtolsheim,Marius Distler,Jürgen Weitz,Stefanie Speid protein kinase, which is a target for the treatment of inflammatory and neurodegenerative diseases, are presented. The role of the hydrophobicity maps and structure-based docking of a fragment library in exploiting genomes to design drugs is addressed.作者: CURT 時(shí)間: 2025-3-29 06:23 作者: corporate 時(shí)間: 2025-3-29 07:30
Chin-Boon Chng,Pooi-Mun Wong,Nicholas Ho,Xiaoyu Tan,Chee-Kong Chuifor which no data were available). This is probably why it was not until the start of the 1990s that a body of work began to appear which analysed in any depth climatic variability for the Arctic as a whole. While a considerable number of papers had been p- lished before this period, most of them we作者: Visual-Field 時(shí)間: 2025-3-29 14:36
for which no data were available). This is probably why it was not until the start of the 1990s that a body of work began to appear which analysed in any depth climatic variability for the Arctic as a whole. While a considerable number of papers had been p- lished before this period, most of them we作者: 對(duì)手 時(shí)間: 2025-3-29 19:00 作者: Hallowed 時(shí)間: 2025-3-29 19:55 作者: alcoholism 時(shí)間: 2025-3-30 00:51
Ahmed El-Gazzar,Mirjam Quaak,Leonardo Cerliani,Peter Bloem,Guido van Wingen,Rajat Mani Thomasfor which no data were available). This is probably why it was not until the start of the 1990s that a body of work began to appear which analysed in any depth climatic variability for the Arctic as a whole. While a considerable number of papers had been p- lished before this period, most of them we作者: 保守黨 時(shí)間: 2025-3-30 05:38
for which no data were available). This is probably why it was not until the start of the 1990s that a body of work began to appear which analysed in any depth climatic variability for the Arctic as a whole. While a considerable number of papers had been p- lished before this period, most of them we作者: 戰(zhàn)勝 時(shí)間: 2025-3-30 10:13
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical NeuroimagingSecond International
