標(biāo)題: Titlebook: Bildverarbeitung für die Medizin 2022; Proceedings, German Klaus Maier-Hein,Thomas M. Deserno,Thomas Tolxdorf Conference proceedings 2022 [打印本頁(yè)] 作者: risky-drinking 時(shí)間: 2025-3-21 18:31
書目名稱Bildverarbeitung für die Medizin 2022影響因子(影響力)
書目名稱Bildverarbeitung für die Medizin 2022影響因子(影響力)學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2022網(wǎng)絡(luò)公開度
書目名稱Bildverarbeitung für die Medizin 2022網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2022被引頻次
書目名稱Bildverarbeitung für die Medizin 2022被引頻次學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2022年度引用
書目名稱Bildverarbeitung für die Medizin 2022年度引用學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2022讀者反饋
書目名稱Bildverarbeitung für die Medizin 2022讀者反饋學(xué)科排名
作者: 不滿分子 時(shí)間: 2025-3-21 22:53 作者: FOIL 時(shí)間: 2025-3-22 03:23 作者: 干涉 時(shí)間: 2025-3-22 04:45
Leonid Grinin,Andrey Korotayev,Arno Tauschtine 3D-CT scans can be implemented to assist radiologists in clinical practice. The resource limited clinical setting demands for solutions that emphasise accuracy and robustness while oftentimes being limited by computational resources. The VerSe19 and ’20 challenges aim at addressing the task of 作者: extemporaneous 時(shí)間: 2025-3-22 10:45 作者: Aprope 時(shí)間: 2025-3-22 15:26 作者: ANIM 時(shí)間: 2025-3-22 18:20 作者: AGATE 時(shí)間: 2025-3-22 23:57
https://doi.org/10.1007/978-3-030-18569-5earning in a decentralized fashion, heterogeneous data can be leveraged from a variety of sources and acquisition protocols whilst ensuring patient privacy. It is, however, crucial to continuously monitor the performance of the model. Yet when it comes to the segmentation of diffuse lung lesions, a 作者: 無(wú)聊點(diǎn)好 時(shí)間: 2025-3-23 02:16
Critical Studies of the Asia-Pacificment of ischemic strokes, in particular in cases of large vessel occlusions (LVO). Thus, the clinical workflow greatly benefits from an automated detection of patients suffering from LVOs. This work uses convolutional neural networks for case-level classification trained with elastic deformation of 作者: 致詞 時(shí)間: 2025-3-23 05:50 作者: 神圣在玷污 時(shí)間: 2025-3-23 12:33 作者: infinite 時(shí)間: 2025-3-23 14:07
https://doi.org/10.1007/978-981-13-9487-4T) or OCT angiography. Multiple images with different modalities or acquisition times are often analyzed for the diagnosis of retinal diseases. Automatically aligning the vessel structures in the images by means of multi-modal registration can support the ophthalmologists in their work. Our method u作者: Debrief 時(shí)間: 2025-3-23 21:49
The Rise and Fall of Democracy in Turkey,. However, the availability of annotated data is often limited. To overcome such limitations, this paper addresses the idea of using synthetic spine X-ray data to train a deep learning model to aid in the detection of vertebrae. For this purpose, a pipeline for automatic generation of synthetic data作者: 轉(zhuǎn)折點(diǎn) 時(shí)間: 2025-3-24 01:29 作者: Fortuitous 時(shí)間: 2025-3-24 05:45 作者: 反話 時(shí)間: 2025-3-24 06:54
https://doi.org/10.1007/978-981-287-194-7s. Medical images are often acquired in different hospitals, by different devices and using different parameters, resulting in varying intensity profiles. However, when performing population-based analysis over various datasets, e.g. from different hospitals, it is important to be able to distinguis作者: 單純 時(shí)間: 2025-3-24 12:37
https://doi.org/10.1007/978-981-287-194-7ogies have been proposed to standardise the surgical workflow by localising drill sites or defining the drill tunnel orientation. A precise drill tunnel is of high clinical relevance to prevent detrimental changes in the reconstructed ligament’s biomechanics as well as early wall breakout with the r作者: Musculoskeletal 時(shí)間: 2025-3-24 17:27
Six Steps Toward Violent Fundamentalism body. Providing the necessary equipment for surgeons to become accustomed to these types of devices can be expensive and time-consuming. A much more cost-effective and versatile approach to train surgeons or prepare already trained surgeons for upcoming operations is to create surgical simulations 作者: Insul島 時(shí)間: 2025-3-24 22:28
The Origins of the “Manichean Mindset”eural network methods for this task usually estimate offset fields to infer the 3D joint positions. Occlusions of important hand parts and inconsistencies in the point clouds, e.g. caused by uneven exposure from the depth sensor, pose a challenge to these methods. We propose to simplify the optimiza作者: minion 時(shí)間: 2025-3-25 02:45
Klaus Maier-Hein,Thomas M. Deserno,Thomas TolxdorfAktuelle Forschungsergebnisse.Deckt alle Bereiche der medizinischen Bildverarbeitung ab.Vertiefung der Gespr?che zwischen Wissenschaftlern, Industrie und Anwendern作者: 獸群 時(shí)間: 2025-3-25 07:23 作者: 粗鄙的人 時(shí)間: 2025-3-25 11:21 作者: Eructation 時(shí)間: 2025-3-25 13:09
978-3-658-36931-6Der/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert durch Springer Fachmedien Wiesbaden 作者: Antimicrobial 時(shí)間: 2025-3-25 17:03 作者: 折磨 時(shí)間: 2025-3-25 23:51 作者: 得罪人 時(shí)間: 2025-3-26 02:59 作者: moribund 時(shí)間: 2025-3-26 07:47
Abstract: nnDetection, because diagnostic decisions often depend on rating of objects rather than e.g. pixels. For this task, the cumbersome and iterative process of method configuration constitutes a major research bottleneck. Recently, nnU-Net has tackled this challenge for the task of image segmentation with great success.作者: 起草 時(shí)間: 2025-3-26 10:01
Abstract: Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery,ogies have been proposed to standardise the surgical workflow by localising drill sites or defining the drill tunnel orientation. A precise drill tunnel is of high clinical relevance to prevent detrimental changes in the reconstructed ligament’s biomechanics as well as early wall breakout with the risk of damaging neurovascular structures.作者: 伸展 時(shí)間: 2025-3-26 13:59 作者: 挫敗 時(shí)間: 2025-3-26 20:08 作者: disparage 時(shí)間: 2025-3-26 22:44
Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases,nhanced MRI is particularly relevant. Previouswork has focused on liver segmentation in the late hepatobiliary contrast phase, which may not always be available in heterogeneous data from clinical routine. In this contribution, we demonstrate the training of a convolutional neural network across con作者: opalescence 時(shí)間: 2025-3-27 05:04 作者: animated 時(shí)間: 2025-3-27 07:21 作者: NOMAD 時(shí)間: 2025-3-27 13:17
Unsupervised Anomaly Detection in the Wild,chniques without the need for explicitly labeled data. However, most previous works study different methods in a constrained research setting with a limited number of common types of pathologies. Here, we want to explore a more realistic setting and target the incidental findings in a large-scale po作者: Instrumental 時(shí)間: 2025-3-27 13:41 作者: novelty 時(shí)間: 2025-3-27 20:23 作者: BULLY 時(shí)間: 2025-3-27 22:26
Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations,ment of ischemic strokes, in particular in cases of large vessel occlusions (LVO). Thus, the clinical workflow greatly benefits from an automated detection of patients suffering from LVOs. This work uses convolutional neural networks for case-level classification trained with elastic deformation of 作者: 斷斷續(xù)續(xù) 時(shí)間: 2025-3-28 02:58 作者: 捏造 時(shí)間: 2025-3-28 09:58
Machine Learning-based Detection of Spherical Markers in CT Volumes,s of the markers is crucial for an accurate alignment. A typical approach utilizes a 3D version of fast radial symmetry transform for marker detection. This method works only for a given set of radii and tends to be influenced by reconstruction artifacts.With a desire for a more robust solution, a d作者: Indent 時(shí)間: 2025-3-28 13:32 作者: 完成才會(huì)征服 時(shí)間: 2025-3-28 17:42
Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created fr. However, the availability of annotated data is often limited. To overcome such limitations, this paper addresses the idea of using synthetic spine X-ray data to train a deep learning model to aid in the detection of vertebrae. For this purpose, a pipeline for automatic generation of synthetic data作者: GULP 時(shí)間: 2025-3-28 19:15 作者: 看法等 時(shí)間: 2025-3-29 00:05 作者: 倫理學(xué) 時(shí)間: 2025-3-29 05:37
Abstract: Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffs. Medical images are often acquired in different hospitals, by different devices and using different parameters, resulting in varying intensity profiles. However, when performing population-based analysis over various datasets, e.g. from different hospitals, it is important to be able to distinguis作者: 尊敬 時(shí)間: 2025-3-29 07:15
Abstract: Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery,ogies have been proposed to standardise the surgical workflow by localising drill sites or defining the drill tunnel orientation. A precise drill tunnel is of high clinical relevance to prevent detrimental changes in the reconstructed ligament’s biomechanics as well as early wall breakout with the r作者: 脆弱吧 時(shí)間: 2025-3-29 11:38
Heads up A Study of Assistive Visualizations for Localisation Guidance in Virtual Reality, body. Providing the necessary equipment for surgeons to become accustomed to these types of devices can be expensive and time-consuming. A much more cost-effective and versatile approach to train surgeons or prepare already trained surgeons for upcoming operations is to create surgical simulations 作者: Dealing 時(shí)間: 2025-3-29 16:00
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimaeural network methods for this task usually estimate offset fields to infer the 3D joint positions. Occlusions of important hand parts and inconsistencies in the point clouds, e.g. caused by uneven exposure from the depth sensor, pose a challenge to these methods. We propose to simplify the optimiza作者: Orgasm 時(shí)間: 2025-3-29 19:56 作者: Relinquish 時(shí)間: 2025-3-30 01:48
Towards an Islamic Restoration,s the segmentation performance by 0.33 of Dice score on the target domain compared with the baseline, and it also gives 0.28 of Dice score improvement in a more rigorous one-shot setting. Our code is available at . Few-shot-UDA.作者: jarring 時(shí)間: 2025-3-30 04:18 作者: 蔑視 時(shí)間: 2025-3-30 09:16 作者: 五行打油詩(shī) 時(shí)間: 2025-3-30 13:41
Six Steps Toward Violent Fundamentalismr study with 19 volunteers each performing 40 trials of five different visualizations. Our results indicate that two of the five visualizations (. and .) are able to reduce the occurrent error, making training in Virtual Reality more suitable for minimally invasive surgery.作者: MAIM 時(shí)間: 2025-3-30 19:34 作者: 時(shí)代 時(shí)間: 2025-3-30 22:23
Iterative 3D CNN Based Segmentation of Vascular Trees in Liver CT, to state of the art methods, our new model generates a more accurate segmentation, resulting in an improvement of the Dice score of 7 % and a reduction of the Hausdorff distance of approximately 20 %.作者: Harass 時(shí)間: 2025-3-31 01:16 作者: 饑荒 時(shí)間: 2025-3-31 05:34 作者: 高深莫測(cè) 時(shí)間: 2025-3-31 10:55 作者: commodity 時(shí)間: 2025-3-31 13:54
Heads up A Study of Assistive Visualizations for Localisation Guidance in Virtual Reality,r study with 19 volunteers each performing 40 trials of five different visualizations. Our results indicate that two of the five visualizations (. and .) are able to reduce the occurrent error, making training in Virtual Reality more suitable for minimally invasive surgery.作者: 秘方藥 時(shí)間: 2025-3-31 17:53
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimatwo point sets. With a mean joint error of 9.43 mm, our approach outperforms most comparable state-of-the-art methods with an average reduction by 19%, while also reducing the computational complexity.作者: 土產(chǎn) 時(shí)間: 2025-3-31 23:40
https://doi.org/10.1007/978-981-19-9661-0reservation is applied to different levels of the network and shown to improve the segmentation. Promising results are achieved with an average Dice score of 0.809 and an average rand index of 0.871 for the best performing network version.作者: prolate 時(shí)間: 2025-4-1 04:23
Islamism, Crisis and Democratizationscenarios, we were able to produce promising quantitative results and detected 31 anomalies which were not reported previously. Evaluation by a radiologist revealed remaining open challenges when it comes to the detection of less conspicuous anomalies.作者: Confound 時(shí)間: 2025-4-1 06:19 作者: 合乎習(xí)俗 時(shí)間: 2025-4-1 13:42 作者: Antimicrobial 時(shí)間: 2025-4-1 16:28
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Informatreservation is applied to different levels of the network and shown to improve the segmentation. Promising results are achieved with an average Dice score of 0.809 and an average rand index of 0.871 for the best performing network version.作者: 發(fā)出眩目光芒 時(shí)間: 2025-4-1 21:56 作者: 協(xié)奏曲 時(shí)間: 2025-4-2 00:38
Quality Monitoring of Federated Covid-19 Lesion Segmentation, this work, we present an array of lightweight metrics that can be calculated locally in each hospital and then aggregated for central monitoring of a federated system. Our linear model detects over 70% of low-quality segmentations on an out-of-distribution dataset and thus reliably signals a decline in model performance.作者: lymphedema 時(shí)間: 2025-4-2 04:08
