A large public dataset of annotated clinical mris and metadata of patients with acute stroke. For the dataset source: Faria, Andreia V.

A large public dataset of annotated clinical mris and metadata of patients with acute stroke Dec 11, 2021 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. Mori S, et al. g. We provide a tool for detection and segmentation of ischemic acute and sub-acute strokes in brain diffusion weighted MRIs (DWIs). Mar 7, 2023 · In this study, we developed a fully automatic system to calculate ASPECTS comparable with consensus expert readings. A large public dataset of annotated clinical MRIs of patients with acute stroke and linked metadata Chin-Fu Liu 1,2 , Richard Leigh 3 , Brenda Johnson 3 , Victor Urrutia 3 , Johnny Hsu 4 , Xin Xu 4 , record abstractsIn addition to the ICPSR citation, users are asked to cite the publication in which these data are described. Jul 10, 2023 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. Sci Data 10 , 548 (2023). Jun 28, 2023 · Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019|医学影像数据集|急性中风数据集 收藏 Mendeley Data 2024-03-27 更新 2024-06-30 收录 Mar 7, 2023 · A large dataset of annotated clinical MRIs and linked metadata of patients with acute stroke. It categorizes lesions as ischemic, hemorrhage, or not visible and includes demographic and clinical information recorded at admission and discharge Acute Stroke Database: Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke. 8) Pub Date : 2023-08-22, DOI: 10. Jul 2, 2023 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. s41597-023-02457-9 - Free download as PDF File (. Data (2022). 1038/s41597-023-02457-9 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ] Oct 23, 2024 · large public dataset of annotated clinical MRI scans and metadata of acute stroke patients has also been made available [16], which could enable further development of AI Jan 1, 2022 · Methods We developed a tool with deep learning networks trained and tested on a large dataset of 2,348 clinical diffusion weighted MRIs of patients with acute and sub-acute ischemic strokes, and May 16, 2022 · This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. Distribution of lesions attributed to ischemia or hemorrhage according to (a) volumes, (b) arterial territories, (c) brain structures. under consideration Sci. Dec 24, 2006 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke: 急性中风: OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing: 脑MRI: A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data: CT椎体 Download scientific diagram | Dataset lesion and image profiles. We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. Please use the following citation: Liu, CF. May 16, 2022 · Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019 (ICPSR 38464) Version Date: Dec 12, 2022 View help for published Jan 15, 2024 · Dataset includes annotated clinical MRIs and detailed metadata of patients with acute stroke. Methods: We used 1,878 annotated clinical brain MRIs from patients with acute ischemic strokes to generate a fully automated artificial intelligence based system that outputs radiological reports in addition to the infarct volume, 3D digital infarct mask, and the feature vector of anatomical regions affected by the acute infarct. Jan 6, 2025 · The MAGIC repository boasts various strengths: (1) its comprehensive dataset with the high completeness and amount of variables collected and its large sample size, (2) the focus on most recent data sets which allows to minimize bias from a change over time in stroke treatment standards, (3) the multicentre provenance of data, balancing the influence from each single centre to reduce bias, (4 Nov 8, 2017 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke CF Liu, R Leigh, B Johnson, V Urrutia, J Hsu, X Xu, X Li, S Mori, AE Hillis, Scientific Data 10 (1), 548 , 2023 A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke Overview of attention for article published in Scientific Data, August 2023 Altmetric Badge 2009 and 2019. Mori, S. In this context, we introduce a publicly accessible dataset encompassing 2,888 multimodal clinical MRIs of patients dealing with acute and early subacute strokes. Hillis, Andreia V. Conclusion: The generation of reports indicates that our fully automated system is able to extract quantitative, objective, structured, and personalized information from stroke MRIs. The dataset provides high quality, large Aug 22, 2023 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. Faria4,* 1Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA Dec 12, 2022 · This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. In acute stroke, large clinical neuroimaging datasets have led to improvements in segmentation algorithms for clinical MRI protocols (e. This large, diverse dataset can be used to train and test lesion segmentation algorithms . Sci Data. We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and In acute stroke, large clinical neuroimaging datasets have led to improvements in segmentation algorithms for clinical MRI protocols (e. 1016/j. 10. The deep learning networks were trained and tested on a large dataset of 2,348 clinical images, and further tested on 280 images of an external dataset. Aug 2, 2024 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. 1038/s41597-023-02457-9 A Large Dataset of Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke. Data . Please see full citation. We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and Dec 9, 2021 · In acute stroke, large clinical neuroimaging datasets have led to improvements in segmentation algorithms for clinical MRI protocols (e. , diffusion weighted imaging, FLAIR, or T2-weighted MRI) 7–9. Stereotaxic white matter atlas based on diffusion Dec 1, 2022 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. 20 in Scientific Data, a Nature journal. The development of such tools, particularly with artificial intelligence, is highly dependent on the availability of large datasets to model training and testing. The performance was comparable to that of an expert ev aluator. While there are many large public MRI datasets, few of these include acute stroke. disease. However, these existing A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke Scientific Data 2023-08-22 | Journal article Feb 20, 2018 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. However, MRIs are not routinely collected as part of stroke rehabilitation clinical care, which usually commences at subacute or chronic stages. present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. For the dataset source: Faria, Andreia V. Dec 20, 2022 · Large-scale uterine myoma MRI dataset covering all FIGO types with pixel-level annotations. clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation requirements, and it is readily useful for non-expert users. May 16, 2022 · This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. health tools, particularly with artificial intelligence, is highly dependent on the availability of large datasets to model training and testing. txt) or read online for free. A large public dataset of annotated clinical MRIs of patients with acute stroke and linked metadata. Sep 26, 2023 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. The dataset provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several Dec 12, 2022 · The collection includes diverse metadata, comprised of demographic information, basic clinical profile (NIH Stroke Scale/Score (NIHSS), hospitalization duration, blood pressure at admission, BMI, and associated health conditions), and expert description of the acute lesion. Under consideration in Sci. Feb 20, 2018 · A USC-led team has now compiled, archived and shared one of the largest open-source data sets of brain scans from stroke patients via a study published Feb. 7-9 However, MRIs are not routinely collected as part of stroke rehabilitation clinical care, which usually commences at subacute or chronic stages. Neuroimage. It supports large-scale processing of new and legacy data, enabling clinical and translational research. A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke Dec 12, 2022 · This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. body mass index. This large, diverse dataset can be Dec 12, 2022 · This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. Inter-university Consortium for Political and Social Research [distributor], 2022-12-12. Feb 20, 2018 · Here we present ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata. Faria4,* 1Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA Oct 19, 2021 · A deep learning-based tool to detect and segment diffusion abnormalities seen on magnetic resonance imaging (MRI) in acute ischemic stroke is developed and outperforms existing algorithms in the detection of small lesions, potentially allowing clinicians and clinical researchers to more quickly and accurately diagnose and assess isChemic strokes. , Johnson, B. metadata of patients with acute stroke. Miller 1,2,7 Feb 16, 2024 · particularly for lesion identification, brain health quantification, and prognosis - large, diverse, and well-annotated public datasets are essential. Hillis3,5, and Andreia V. 12. Stereotaxic white matter atlas based on diffusion tensor imaging in an icbm template. doi: 10. This is a subset of the “Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke”, an anon-ymized dataset organized under waiver of patient consent Aug 20, 2024 · A large public dataset of annotated clinical MRIs and . Acute stroke patients were included with: i) large vessel occlusion of the anterior circulation The development of such tools, particularly with artificial intelligence, is highly dependent on the availability of large datasets to model training and testing. Article. Dec 24, 2006 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke: 急性中风: OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing: 脑MRI: A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data: CT椎体 Nov 25, 2020 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke Chin-FuLiu, RichardLeigh, BrendaJohnson, VictorUrrutia, JohnnyHsu, XinXu, XinLi, SusumuMori, Argye E. neuroimage. Faria4,* 1Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA Aug 22, 2023 · W e share a large dataset of clinical acut e stroke MRIs, associated to demograp hic and clinical metadata, in alignment with the broad aim of the biomedical comm unity to share F AIR data A public dataset of acute stroke MRIs, associated with lesion delineation and organized non-image infor - mation will potentially enable clinical researchers to advance in clinical modeling and Aug 22, 2023 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. , diffusion weighted imaging, FLAIR, or T2-weighted MRI). Our system was trained in 400 clinical diffusion weighted images of patients with acute infarcts and evaluated with an external testing set of 100 cases. We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and The development of such tools, particularly with artificial intelligence, is highly dependent on the availability of large datasets to model training and testing. May 29, 2022 · W e share the first annotated large dataset of clinical acute stroke MRIs, associated to demographic and clinical metadata, in alignment with the broad aim of the biomedical community to share F The development of such tools, particularly with artificial intelligence, is highly dependent on the availability of large datasets to model training and testing. To extract meaningful A large public dataset of annotated clinical MRIs of patients with acute stroke and linked metadata Chin-Fu Liu1,2, Richard Leigh3, Brenda Johnson3, Victor Urrutia3, Johnny Hsu4, Xin Xu4, Xin Li4, Susumu Mori4, Argye E. , Leigh, R. Aug 2, 2024 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. [PMC free article] 18. (a) average and (b) standard deviation maps of the intensity-normalized DWIs in standard space (MNI) of the cases classified as "not-visible" strokes. Accessible tools to efficiently detect and May 29, 2022 · reports using 1,878 clinical MRIs of patients with acute ischemic strokes, from a larger annotated dataset of 2,888 cases. We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. Dec 12, 2022 · This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. Faria Mar 7, 2023 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. 035. Aug 20, 2024 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. While only a few datasets with (sub-)acute stroke data were previously available, several large, high-quality datasets have recently been made publicly accessible. clinical acute stroke MRIs Chin-Fu Liu 1,2 , Yi Zhao 3 , Vivek Yedavalli 4 , Richard Leigh 5 , Vitor Falcao 6 , on behalf of the STIR and VISTA Imaging investigators*, Michael I. 2008;40:570–582. After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata. Oct 18, 2021 · This work presents a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata that provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor. A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke Scientific Data ( IF 5. Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019. Scientific Data (Aug 2023) . Aug 22, 2023 · We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early This DMP aims to collect and create a public dataset of over 4000 MRI and CT scans of patients with various brain illnesses including but not limited to acute stroke and manual lesions. To perform this research, we are working with a large number of annotated clinical MRI data of stroke patients coming from the publicly available ICPSR #38464 stroke dataset. Faria4,* 1Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA 此类工具的开发，尤其是人工智能工具的开发，高度依赖于用于模型训练和测试的大型数据集的可用性。我们提供了包含 2,888 个急性和早期亚急性中风患者的多模态临床 mri 的公共数据集，其中包括手动病变分割和元数据。 Aug 22, 2023 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. from publication: A large public dataset of Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019 acute stroke. pdf), Text File (. Aug 23, 2023 · We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke CF Liu, R Leigh, B Johnson, V Urrutia, J Hsu, X Xu, X Li, S Mori, AE Hillis, Scientific Data 10 (1), 548 , 2023 A large, open source dataset of stroke anatomical brain images and manual A large, open source dataset of stroke anatomical brain images and manual lesion segmentations Structural and functional multi-platform MRI series of a single human Chin-Fu Liu's 22 research works with 150 citations and 1,715 reads, including: A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke A large public dataset of annotated clinical MRIs of patients with acute stroke and linked metadata Chin-Fu Liu1,2, Richard Leigh3, Brenda Johnson3, Victor Urrutia3, Johnny Hsu4, Xin Xu4, Xin Li4, Susumu Mori4, Argye E. We will create and share a public dataset of 4,000 multimodal clinical MRIs and CTs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. This is a collection of 2,888 clinical MRIs of patients admitted at a National Stroke Center, over ten years, with clinical diagnosis of acute or early subacute stroke. Jul 10, 2023 · We used 1,878 annotated brain MRIs to generate a fully automated system that outputs radiological reports in addition to the infarct volume, 3D digital infarct mask, and the feature vector of We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. Article ADS PubMed PubMed Central Google Scholar tools, particularly with artificial intelligence, is highly dependent on the availability of large datasets to model training and testing. Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019 38464 Inter-university Consortium for Political and Social Research Annotated Clinical MRIs and Linked Metadata of Patients with Acute Stroke, Baltimore, Maryland, 2009-2019 38464 Faria, Andreia V. Aug 22, 2023 · A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke Liu Chin-Fu; Leigh Richard; Johnson Brenda; Urrutia Victor; Hsu Johnny; Xu Xin; Li Xin; Mori Susumu; Hillis Argye E; Faria Andreia V For the dataset source: Faria, Andreia V. 2007. This dataset includes meticulous manual lesion segmentation as well as accompanying metadata. The collection includes diverse MRI modalities and protocols. , di usion weighted imaging, FLAIR, or T2-weighted MRI) 7 \n. A large public dataset of annotated clinical MRIs of patients with acute stroke and linked metadata Chin-Fu Liu1,2, Richard Leigh3, Brenda Johnson3, Victor Urrutia3, Johnny Hsu4, Xin Xu4, Xin Li4, Susumu Mori4, Argye E. A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. et al. kyyhor hwknx fvgnumin nlrg wsakgqeh mvz vzgfc uoky dze gdddij fym jjmsrm vaja guu ick