167 related articles for article (PubMed ID: 37340038)
1. A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage.
Angkurawaranon S; Sanorsieng N; Unsrisong K; Inkeaw P; Sripan P; Khumrin P; Angkurawaranon C; Vaniyapong T; Chitapanarux I
Sci Rep; 2023 Jun; 13(1):9975. PubMed ID: 37340038
[TBL] [Abstract][Full Text] [Related]
2. Validation of a deep learning model for traumatic brain injury detection and NIRIS grading on non-contrast CT: a multi-reader study with promising results and opportunities for improvement.
Jiang B; Ozkara BB; Creeden S; Zhu G; Ding VY; Chen H; Lanzman B; Wolman D; Shams S; Trinh A; Li Y; Khalaf A; Parker JJ; Halpern CH; Wintermark M
Neuroradiology; 2023 Nov; 65(11):1605-1617. PubMed ID: 37269414
[TBL] [Abstract][Full Text] [Related]
3. Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans.
Danilov G; Kotik K; Negreeva A; Tsukanova T; Shifrin M; Zakharova N; Batalov A; Pronin I; Potapov A
Stud Health Technol Inform; 2020 Jun; 272():370-373. PubMed ID: 32604679
[TBL] [Abstract][Full Text] [Related]
4. A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning.
Kumaravel P; Mohan S; Arivudaiyanambi J; Shajil N; Venkatakrishnan HN
Curr Med Imaging; 2021; 17(10):1226-1236. PubMed ID: 33602101
[TBL] [Abstract][Full Text] [Related]
5. A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans.
Wang X; Shen T; Yang S; Lan J; Xu Y; Wang M; Zhang J; Han X
Neuroimage Clin; 2021; 32():102785. PubMed ID: 34411910
[TBL] [Abstract][Full Text] [Related]
6. Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury.
Heo S; Ha J; Jung W; Yoo S; Song Y; Kim T; Cha WC
Sci Rep; 2022 Jul; 12(1):12454. PubMed ID: 35864281
[TBL] [Abstract][Full Text] [Related]
7. Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies.
Kundisch A; Hönning A; Mutze S; Kreissl L; Spohn F; Lemcke J; Sitz M; Sparenberg P; Goelz L
PLoS One; 2021; 16(11):e0260560. PubMed ID: 34843559
[TBL] [Abstract][Full Text] [Related]
8. Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning.
Kuo W; Hӓne C; Mukherjee P; Malik J; Yuh EL
Proc Natl Acad Sci U S A; 2019 Nov; 116(45):22737-22745. PubMed ID: 31636195
[TBL] [Abstract][Full Text] [Related]
9. Text Analysis of Radiology Reports with Signs of Intracranial Hemorrhage on Brain CT Scans Using the Decision Tree Algorithm.
Khoruzhaya АN; Kozlov DV; Arzamasov КM; Kremneva EI
Sovrem Tekhnologii Med; 2022; 14(6):34-40. PubMed ID: 37181285
[TBL] [Abstract][Full Text] [Related]
10. Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.
Ginat DT
Neuroradiology; 2020 Mar; 62(3):335-340. PubMed ID: 31828361
[TBL] [Abstract][Full Text] [Related]
11. Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans.
Teneggi J; Yi PH; Sulam J
Radiol Artif Intell; 2024 Jan; 6(1):e230159. PubMed ID: 38294324
[TBL] [Abstract][Full Text] [Related]
12. Opportunity to reduce transfer of patients with mild traumatic brain injury and intracranial hemorrhage to a Level 1 trauma center.
Yun BJ; White BA; Benjamin Harvey H; Prabhakar AM; Sonis JD; Glover M; Vallillo E; Choi S; Borczuk P; Raja AS
Am J Emerg Med; 2017 Sep; 35(9):1281-1284. PubMed ID: 28385479
[TBL] [Abstract][Full Text] [Related]
13. Automated intracranial hemorrhage detection in traumatic brain injury using 3D CNN.
Agrawal D; Poonamallee L; Joshi S; Bahel V
J Neurosci Rural Pract; 2023; 14(4):615-621. PubMed ID: 38059235
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning-Based Brain Hemorrhage Detection in CT Reports.
Bayrak G; Toprak MŞ; Ganiz MC; Kodaz H; Koç U
Stud Health Technol Inform; 2022 May; 294():866-867. PubMed ID: 35612228
[TBL] [Abstract][Full Text] [Related]
15. Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network.
Ye H; Gao F; Yin Y; Guo D; Zhao P; Lu Y; Wang X; Bai J; Cao K; Song Q; Zhang H; Chen W; Guo X; Xia J
Eur Radiol; 2019 Nov; 29(11):6191-6201. PubMed ID: 31041565
[TBL] [Abstract][Full Text] [Related]
16. Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm.
Lee JY; Kim JS; Kim TY; Kim YS
Sci Rep; 2020 Nov; 10(1):20546. PubMed ID: 33239711
[TBL] [Abstract][Full Text] [Related]
17. Transfer Learning of the ResNet-18 and DenseNet-121 Model Used to Diagnose Intracranial Hemorrhage in CT Scanning.
Zhou Q; Zhu W; Li F; Yuan M; Zheng L; Liu X
Curr Pharm Des; 2022; 28(4):287-295. PubMed ID: 34961458
[TBL] [Abstract][Full Text] [Related]
18. Comparative analysis between different volumetric methods on measuring intracranial hemorrhage incorporating roundness index.
Chaidee S; Inkeaw P; Makee T; Khamyod K; Angkurawaranon S; Traisathit P; Vaniyapong T; Chitapanarux I
PLoS One; 2023; 18(10):e0292092. PubMed ID: 37788246
[TBL] [Abstract][Full Text] [Related]
19. Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.
Inkeaw P; Angkurawaranon S; Khumrin P; Inmutto N; Traisathit P; Chaijaruwanich J; Angkurawaranon C; Chitapanarux I
Comput Biol Med; 2022 Jul; 146():105530. PubMed ID: 35460962
[TBL] [Abstract][Full Text] [Related]
20. An efficient deep neural network for automatic classification of acute intracranial hemorrhages in brain CT scans.
Chen YR; Chen CC; Kuo CF; Lin CH
Comput Biol Med; 2024 Jun; 176():108587. PubMed ID: 38735238
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
