These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
7. Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy. Chen J; Zhang X; Yuan J; Shao R; Gan C; Ji Q; Luo W; Pang ZF; Zhu H BMC Med Imaging; 2023 Oct; 23(1):163. PubMed ID: 37858039 [TBL] [Abstract][Full Text] [Related]
8. Weakly Supervised Video Anomaly Detection Based on 3D Convolution and LSTM. Ma Z; Machado JJM; Tavares JMRS Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833584 [TBL] [Abstract][Full Text] [Related]
9. An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. Hu J; Zhu E; Wang S; Liu X; Guo X; Yin J Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31554333 [TBL] [Abstract][Full Text] [Related]
11. Weakly supervised temporal action localization with actionness-guided false positive suppression. Li Z; Wang Z; Liu Q Neural Netw; 2024 Jul; 175():106307. PubMed ID: 38626617 [TBL] [Abstract][Full Text] [Related]
12. Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding. Bi S; Hu Z; Zhang H; Di J; Sun Z Neural Netw; 2024 Nov; 179():106578. PubMed ID: 39111158 [TBL] [Abstract][Full Text] [Related]
13. Local distinguishability aggrandizing network for human anomaly detection. Gong M; Zeng H; Xie Y; Li H; Tang Z Neural Netw; 2020 Feb; 122():364-373. PubMed ID: 31760371 [TBL] [Abstract][Full Text] [Related]
14. 3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance. Shin W; Bu SJ; Cho SB Int J Neural Syst; 2020 Jun; 30(6):2050034. PubMed ID: 32466693 [TBL] [Abstract][Full Text] [Related]
15. CamNuvem: A Robbery Dataset for Video Anomaly Detection. de Paula DD; Salvadeo DHP; de Araujo DMN Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560385 [TBL] [Abstract][Full Text] [Related]
16. LRTD: long-range temporal dependency based active learning for surgical workflow recognition. Shi X; Jin Y; Dou Q; Heng PA Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1573-1584. PubMed ID: 32588246 [TBL] [Abstract][Full Text] [Related]
17. Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. Huang C; Liu C; Wen J; Wu L; Xu Y; Jiang Q; Wang Y IEEE Trans Cybern; 2024 May; 54(5):3197-3210. PubMed ID: 37015630 [TBL] [Abstract][Full Text] [Related]
18. Multimodal and multiscale feature fusion for weakly supervised video anomaly detection. Sun W; Cao L; Guo Y; Du K Sci Rep; 2024 Oct; 14(1):22835. PubMed ID: 39354033 [TBL] [Abstract][Full Text] [Related]
19. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. Ross T; Zimmerer D; Vemuri A; Isensee F; Wiesenfarth M; Bodenstedt S; Both F; Kessler P; Wagner M; Müller B; Kenngott H; Speidel S; Kopp-Schneider A; Maier-Hein K; Maier-Hein L Int J Comput Assist Radiol Surg; 2018 Jun; 13(6):925-933. PubMed ID: 29704196 [TBL] [Abstract][Full Text] [Related]
20. Multi-Channel Generative Framework and Supervised Learning for Anomaly Detection in Surveillance Videos. Vu TH; Boonaert J; Ambellouis S; Taleb-Ahmed A Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34063625 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]