標(biāo)題: Titlebook: Bildverarbeitung für die Medizin 2024; Proceedings, German Andreas Maier,Thomas M. Deserno,Thomas Tolxdorff Conference proceedings 2024 De [打印本頁] 作者: Mottled 時間: 2025-3-21 19:00
書目名稱Bildverarbeitung für die Medizin 2024影響因子(影響力)
書目名稱Bildverarbeitung für die Medizin 2024影響因子(影響力)學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2024網(wǎng)絡(luò)公開度
書目名稱Bildverarbeitung für die Medizin 2024網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2024被引頻次
書目名稱Bildverarbeitung für die Medizin 2024被引頻次學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2024年度引用
書目名稱Bildverarbeitung für die Medizin 2024年度引用學(xué)科排名
書目名稱Bildverarbeitung für die Medizin 2024讀者反饋
書目名稱Bildverarbeitung für die Medizin 2024讀者反饋學(xué)科排名
作者: 不愛防注射 時間: 2025-3-21 22:51
Islamophobia and Radicalizationby combining state-of-the-art imaging techniques with innovative precision learning software and a novel Xray microscope. Their method has the potential to revolutionize our understanding of bone structure and improve bone remodelling, by enabling an effective assessment of the effects on bone of ag作者: ENDOW 時間: 2025-3-22 02:43 作者: entail 時間: 2025-3-22 04:37 作者: 處理 時間: 2025-3-22 12:19 作者: motor-unit 時間: 2025-3-22 14:21 作者: 最初 時間: 2025-3-22 17:24
https://doi.org/10.1007/978-3-031-06205-6plied to the LIDC-IDRI dataset [2], Proto-Caps predicts the malignancy of lung nodules and also provides prototypical samples that are similar in regards to the nodules’ spiculation, calcification, and six more visual features. Besides the additional interpretability, the proposed solution shows an 作者: TRACE 時間: 2025-3-22 21:51 作者: 并排上下 時間: 2025-3-23 05:02 作者: Antioxidant 時間: 2025-3-23 06:17 作者: 引起痛苦 時間: 2025-3-23 10:51
Uncovering Islamophobic Victimisation, image-based registration methods is not possible and for both expert supervision is desirable. With Lung250M-4B [1], we present a dataset, that aims to tackle these problems. It consists of 248 curated and pre-processed public multi-centric in- and expiratory lung CT scans from 124 patients with la作者: 輕率的你 時間: 2025-3-23 16:00
Islamophobia, Victimisation and the Veildings indicate that prompting strategies significantly influence segmentation performance. Combining positive points with either bounding boxes or negative points shows substantial benefits, but little to no benefit when combined simultaneously. We further observe that fine-tuning SAM with a few ann作者: 知識 時間: 2025-3-23 19:32
Keynote: 4-D+ nanoSCOPE Project,by combining state-of-the-art imaging techniques with innovative precision learning software and a novel Xray microscope. Their method has the potential to revolutionize our understanding of bone structure and improve bone remodelling, by enabling an effective assessment of the effects on bone of ag作者: considerable 時間: 2025-3-23 23:13 作者: 可以任性 時間: 2025-3-24 04:14 作者: 終止 時間: 2025-3-24 10:28
Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Ma. It extends the As-Rigid- As-Possible (ARAP) deformation algorithm by a smart initialization of the required 3D readout mesh which is fitted to the CoW. Depending on the resulting degree of distortion, it is also possible to merge neighboring arteries directly into the same view. In cases of high d作者: inflate 時間: 2025-3-24 10:58 作者: 側(cè)面左右 時間: 2025-3-24 16:06
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Informplied to the LIDC-IDRI dataset [2], Proto-Caps predicts the malignancy of lung nodules and also provides prototypical samples that are similar in regards to the nodules’ spiculation, calcification, and six more visual features. Besides the additional interpretability, the proposed solution shows an 作者: 誘拐 時間: 2025-3-24 20:08
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free n traditional denoising methods and deep learning, we employ a novel approach that combines a neural network comprised of trainable BF layers. This network is trained using an extended version of Stein’s unbiased risk estimator (SURE) as a self-supervised loss function, which estimates the mean squa作者: 消耗 時間: 2025-3-25 00:09 作者: ostrish 時間: 2025-3-25 05:42 作者: 摻假 時間: 2025-3-25 09:05 作者: Preamble 時間: 2025-3-25 12:11
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmendings indicate that prompting strategies significantly influence segmentation performance. Combining positive points with either bounding boxes or negative points shows substantial benefits, but little to no benefit when combined simultaneously. We further observe that fine-tuning SAM with a few ann作者: Oversee 時間: 2025-3-25 17:37
Keynote: Recent Advances in Surgical AI for Next Generation Interventions,ed robotic interventions. These cutting-edge technologies offer tremendous potential to enhance imaging, surgical navigation, and robotic interventions, ultimately reducing cognitive load on surgeons and optimizing procedural efficiency. This talk will highlight AI applications in different surgical作者: 膝蓋 時間: 2025-3-25 22:12 作者: aggressor 時間: 2025-3-26 02:06
Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies,struction. This study investigates the application of hybrid quantum annealing in the context of tomographic image reconstruction, focusing on the formulation of compatible conventional image regularization strategies: L2 and total variation. Using a Shepp-Logan phantom of image size 32 × 32 with 4-作者: 名次后綴 時間: 2025-3-26 07:40 作者: 調(diào)整校對 時間: 2025-3-26 12:14
Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage,dard diagnostic method is cytology of bronchoalveolar lavage fluid using the time-consuming total hemosiderin score (THS). For the routine THS, 300 alveolar macrophages are classified into 5 grades based on the amount of intracellular hemosiderin pigment (degradation product of heme iron of red bloo作者: Aphorism 時間: 2025-3-26 16:14
Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation,ning deep segmentation models. Instead of requesting annotations for the fullWSI, region-based active learning (AL) allows to specify selected regions for annotation in an iterative process, reducing annotation while maintaining segmentation performance. Existing methods for section selection onWSI 作者: amphibian 時間: 2025-3-26 20:13 作者: jagged 時間: 2025-3-26 22:34 作者: Observe 時間: 2025-3-27 02:13 作者: 撫慰 時間: 2025-3-27 05:57 作者: Exclaim 時間: 2025-3-27 09:43 作者: 原告 時間: 2025-3-27 16:57
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs, chest X-ray datasets. However, the presence of patient-specific biometric information in chest radiographs impedes direct and public sharing of such data for research purposes due to the potential risk of patient re-identification. In this context, synthetic data generation emerges as a solution fo作者: TAIN 時間: 2025-3-27 19:34 作者: 謊言 時間: 2025-3-27 22:27
Displacement Representation for Conditional Point Cloud Registration,ps. Applications include outpatient follow-up assessments and intraoperative scenarios like ultrasound-guided navigation. Through a simple modification in displacement prediction representation, we enhance registration results by more than 25% w.r.t. prior work while preserving the model-free paradi作者: MUMP 時間: 2025-3-28 03:14
Joint Learning of Image Registration and Change Detection for Lung CT Images,ncy in diagnostic reading, but also to decrease the number of missed abnormalities. Classically, change maps are created from difference images after an image registration step, which requires a careful balance in order to neither generate artifacts nor disguise relevant changes.We propose jointly l作者: Engulf 時間: 2025-3-28 09:36
Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis,ies on a single structure or image region in order to identify variations to discriminate between patient groups. In many applications, existing automatic segmentation tools or trained neural networks are used to identify relevant image structures. However, if new structures are to be analyzed, thes作者: 激怒 時間: 2025-3-28 13:16
Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250PD, estimation of tumour motion in radiotherapy planning or tracking of lung nodules.With recent developments, deep learning-based methods are competing for state-of-the-art in various image registration tasks. Additionally, geometric deep learning on point clouds – in particular learning-based poin作者: CRUC 時間: 2025-3-28 15:38 作者: ENACT 時間: 2025-3-28 19:54
Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation oft for detecting thin structures that make up a tiny fraction of the entire image volume. We propose a geometric deep learning framework that leverages the representation of the image as a keypoint (KP) cloud and segments it with a graph convolutional network (GCN). From the sparse point segmentation作者: charisma 時間: 2025-3-29 00:26
1431-472X Industrie und Anwendern.Seit mehr als 25 Jahren ist der Workshop "Bildverarbeitung für die Medizin" als erfolgreiche Veranstaltung etabliert. Ziel ist auch 2024 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespr?che zwischen Wissenschaftlern, Industrie und Anwendern. 作者: senile-dementia 時間: 2025-3-29 06:34 作者: 羅盤 時間: 2025-3-29 11:11
Keynote: Recent Advances in Surgical AI for Next Generation Interventions,s, ultimately reducing cognitive load on surgeons and optimizing procedural efficiency. This talk will highlight AI applications in different surgical procedures and where we stand in terms of their clinical translation for moving towards next generation of surgical intervention. [1].作者: 良心 時間: 2025-3-29 14:40 作者: 傳授知識 時間: 2025-3-29 15:42
Islamophobia and Radicalizationn imaging platform (https://stroke.neuroAI-HD.org) for online processing of medical imaging data with the developed ANN, including provisions for data crowdsourcing. Notably, this work has previously been published in Nature Communications [1].作者: 供過于求 時間: 2025-3-29 21:29 作者: 物種起源 時間: 2025-3-30 00:09
https://doi.org/10.1007/978-3-658-42193-9 through the sparsity of the point cloud representation while maintaining accuracy. We measure a 34× speed-up at 1.5× the nnU-Net’s error with F?rstner KPs and a 6× speed-up at 1.3× error with pre-segmentation KPs.作者: Feigned 時間: 2025-3-30 04:07
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Susn imaging platform (https://stroke.neuroAI-HD.org) for online processing of medical imaging data with the developed ANN, including provisions for data crowdsourcing. Notably, this work has previously been published in Nature Communications [1].作者: 不能平靜 時間: 2025-3-30 08:39 作者: Aggregate 時間: 2025-3-30 12:55 作者: 民間傳說 時間: 2025-3-30 16:47 作者: 抗生素 時間: 2025-3-30 21:05 作者: prosthesis 時間: 2025-3-31 03:52 作者: 襲擊 時間: 2025-3-31 08:50 作者: curettage 時間: 2025-3-31 09:50
Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies,ntum annealer. The study reveals, that L2 regularization effectively enhances the obtained image reconstructions and total variation can further improve them. Despite efforts to employ regularized hybrid quantum annealing reconstructions, they still fall short in comparison to traditional reconstruction techniques.作者: 農(nóng)學(xué) 時間: 2025-3-31 14:52 作者: 改正 時間: 2025-3-31 17:55
Segmentation-guided Medical Image Registration,. Our findings demonstrate that incorporating an appropriate label-correction strategy during training can reduce labeling efforts, consequently enhancing the practicality of segmentation-guided registration.作者: URN 時間: 2025-4-1 00:35 作者: 騷動 時間: 2025-4-1 05:15 作者: 一加就噴出 時間: 2025-4-1 07:30
https://doi.org/10.1007/978-3-658-44037-4Computer Science; Informatics; Conference Proceedings; Research; Applications; Bildanalyse; Bilderkennung; 作者: ESO 時間: 2025-4-1 13:49 作者: gustation 時間: 2025-4-1 16:56
Andreas Maier,Thomas M. Deserno,Thomas TolxdorffDeckt alle Bereiche der medizinischen Bildverarbeitung ab.Aktuelle Forschungsergebnisse.Vertiefung der Gespr?che zwischen Wissenschaftlern, Industrie und Anwendern
