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.
148 related articles for article (PubMed ID: 38704671)
1. SC-Track: a robust cell-tracking algorithm for generating accurate single-cell lineages from diverse cell segmentations. Li C; Xie SS; Wang J; Sharvia S; Chan KY Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38704671 [TBL] [Abstract][Full Text] [Related]
2. Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy. Scherr T; Löffler K; Böhland M; Mikut R PLoS One; 2020; 15(12):e0243219. PubMed ID: 33290432 [TBL] [Abstract][Full Text] [Related]
3. A fully-automated, robust, and versatile algorithm for long-term budding yeast segmentation and tracking. Wood NE; Doncic A PLoS One; 2019; 14(3):e0206395. PubMed ID: 30917124 [TBL] [Abstract][Full Text] [Related]
4. DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning. Lugagne JB; Lin H; Dunlop MJ PLoS Comput Biol; 2020 Apr; 16(4):e1007673. PubMed ID: 32282792 [TBL] [Abstract][Full Text] [Related]
5. Single-cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates. Jelli E; Ohmura T; Netter N; Abt M; Jiménez-Siebert E; Neuhaus K; Rode DKH; Nadell CD; Drescher K Mol Microbiol; 2023 Jun; 119(6):659-676. PubMed ID: 37066636 [TBL] [Abstract][Full Text] [Related]
6. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks. Burton W; Myers C; Rullkoetter P Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580 [TBL] [Abstract][Full Text] [Related]
7. Tracking cell lineages in 3D by incremental deep learning. Sugawara K; Çevrim Ç; Averof M Elife; 2022 Jan; 11():. PubMed ID: 34989675 [TBL] [Abstract][Full Text] [Related]
8. A robust algorithm for segmenting and tracking clustered cells in time-lapse fluorescent microscopy. Tarnawski W; Kurtcuoglu V; Lorek P; Bodych M; Rotter J; Muszkieta M; Piwowar Ł; Poulikakos D; Majkowski M; Ferrari A IEEE J Biomed Health Inform; 2013 Jul; 17(4):862-9. PubMed ID: 25055315 [TBL] [Abstract][Full Text] [Related]
9. Performance of deep learning restoration methods for the extraction of particle dynamics in noisy microscopy image sequences. Kefer P; Iqbal F; Locatelli M; Lawrimore J; Zhang M; Bloom K; Bonin K; Vidi PA; Liu J Mol Biol Cell; 2021 Apr; 32(9):903-914. PubMed ID: 33502895 [TBL] [Abstract][Full Text] [Related]
10. Tracing cell lineages in videos of lens-free microscopy. Rempfler M; Stierle V; Ditzel K; Kumar S; Paulitschke P; Andres B; Menze BH Med Image Anal; 2018 Aug; 48():147-161. PubMed ID: 29933115 [TBL] [Abstract][Full Text] [Related]
11. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach. Lavdas I; Glocker B; Kamnitsas K; Rueckert D; Mair H; Sandhu A; Taylor SA; Aboagye EO; Rockall AG Med Phys; 2017 Oct; 44(10):5210-5220. PubMed ID: 28756622 [TBL] [Abstract][Full Text] [Related]
12. Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks. Payer C; Štern D; Feiner M; Bischof H; Urschler M Med Image Anal; 2019 Oct; 57():106-119. PubMed ID: 31299493 [TBL] [Abstract][Full Text] [Related]
13. 3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images. Wen C; Miura T; Voleti V; Yamaguchi K; Tsutsumi M; Yamamoto K; Otomo K; Fujie Y; Teramoto T; Ishihara T; Aoki K; Nemoto T; Hillman EM; Kimura KD Elife; 2021 Mar; 10():. PubMed ID: 33781383 [TBL] [Abstract][Full Text] [Related]
14. Training a deep learning model for single-cell segmentation without manual annotation. Din NU; Yu J Sci Rep; 2021 Dec; 11(1):23995. PubMed ID: 34907213 [TBL] [Abstract][Full Text] [Related]
15. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images. Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289 [TBL] [Abstract][Full Text] [Related]
16. A Cell Segmentation/Tracking Tool Based on Machine Learning. Deter HS; Dies M; Cameron CC; Butzin NC; Buceta J Methods Mol Biol; 2019; 2040():399-422. PubMed ID: 31432490 [TBL] [Abstract][Full Text] [Related]
17. ESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCs. Fernández-de-Manúel L; Díaz-Díaz C; Jiménez-Carretero D; Torres M; Montoya MC Biotechniques; 2017 May; 62(5):215-222. PubMed ID: 28528574 [TBL] [Abstract][Full Text] [Related]
18. The multimodality cell segmentation challenge: toward universal solutions. Ma J; Xie R; Ayyadhury S; Ge C; Gupta A; Gupta R; Gu S; Zhang Y; Lee G; Kim J; Lou W; Li H; Upschulte E; Dickscheid T; de Almeida JG; Wang Y; Han L; Yang X; Labagnara M; Gligorovski V; Scheder M; Rahi SJ; Kempster C; Pollitt A; Espinosa L; Mignot T; Middeke JM; Eckardt JN; Li W; Li Z; Cai X; Bai B; Greenwald NF; Van Valen D; Weisbart E; Cimini BA; Cheung T; Brück O; Bader GD; Wang B Nat Methods; 2024 Jun; 21(6):1103-1113. PubMed ID: 38532015 [TBL] [Abstract][Full Text] [Related]
19. A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy. Jang J; Wang C; Zhang X; Choi HJ; Pan X; Lin B; Yu Y; Whittle C; Ryan M; Chen Y; Lee K Cell Rep Methods; 2021 Nov; 1(7):. PubMed ID: 34888542 [TBL] [Abstract][Full Text] [Related]
20. Cell Type Classification and Unsupervised Morphological Phenotyping From Low-Resolution Images Using Deep Learning. Yao K; Rochman ND; Sun SX Sci Rep; 2019 Sep; 9(1):13467. PubMed ID: 31530889 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]