166 related articles for article (PubMed ID: 34603385)
1. Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry.
Xiao X; Qiao Y; Jiao Y; Fu N; Yang W; Wang L; Yu R; Han J
Front Genet; 2021; 12():721229. PubMed ID: 34603385
[TBL] [Abstract][Full Text] [Related]
2. Dual-modality imaging of immunofluorescence and imaging mass cytometry for whole slide imaging with accurate single-cell segmentation.
Kim EN; Chen PZ; Bressan D; Tripathi M; Miremadi A; di Pietro M; Coussens LM; Hannon GJ; Fitzgerald RC; Zhuang L; Chang YH
bioRxiv; 2023 Feb; ():. PubMed ID: 36865274
[TBL] [Abstract][Full Text] [Related]
3. MATISSE: a method for improved single cell segmentation in imaging mass cytometry.
Baars MJD; Sinha N; Amini M; Pieterman-Bos A; van Dam S; Ganpat MMP; Laclé MM; Oldenburg B; Vercoulen Y
BMC Biol; 2021 May; 19(1):99. PubMed ID: 33975602
[TBL] [Abstract][Full Text] [Related]
4. Automatic quadriceps and patellae segmentation of MRI with cascaded U
Cheng R; Crouzier M; Hug F; Tucker K; Juneau P; McCreedy E; Gandler W; McAuliffe MJ; Sheehan FT
Med Phys; 2022 Jan; 49(1):443-460. PubMed ID: 34755359
[TBL] [Abstract][Full Text] [Related]
5. A novel process for H&E, immunofluorescence, and imaging mass cytometry on a single slide with a concise analytics pipeline.
Marlin MC; Stephens T; Wright C; Smith M; Wright K; Guthridge JM
Cytometry A; 2023 Dec; 103(12):1010-1018. PubMed ID: 37724720
[TBL] [Abstract][Full Text] [Related]
6. Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.
Dieckhaus H; Meijboom R; Okar S; Wu T; Parvathaneni P; Mina Y; Chandran S; Waldman AD; Reich DS; Nair G
Top Magn Reson Imaging; 2022 Jun; 31(3):31-39. PubMed ID: 35767314
[TBL] [Abstract][Full Text] [Related]
7. Dual-modality imaging of immunofluorescence and imaging mass cytometry for whole-slide imaging and accurate segmentation.
Kim EN; Chen PZ; Bressan D; Tripathi M; Miremadi A; di Pietro M; Coussens LM; Hannon GJ; Fitzgerald RC; Zhuang L; Chang YH
Cell Rep Methods; 2023 Oct; 3(10):100595. PubMed ID: 37741277
[TBL] [Abstract][Full Text] [Related]
8. CSM-Net: Automatic joint segmentation of intima-media complex and lumen in carotid artery ultrasound images.
Yuan Y; Li C; Xu L; Zhu S; Hua Y; Zhang J
Comput Biol Med; 2022 Nov; 150():106119. PubMed ID: 37859275
[TBL] [Abstract][Full Text] [Related]
9. Imaging mass cytometry for high-dimensional tissue profiling in the eye.
Schlecht A; Boneva S; Salie H; Killmer S; Wolf J; Hajdu RI; Auw-Haedrich C; Agostini H; Reinhard T; Schlunck G; Bengsch B; Lange CA
BMC Ophthalmol; 2021 Sep; 21(1):338. PubMed ID: 34544377
[TBL] [Abstract][Full Text] [Related]
10. Automatic single cell segmentation on highly multiplexed tissue images.
Schüffler PJ; Schapiro D; Giesen C; Wang HA; Bodenmiller B; Buhmann JM
Cytometry A; 2015 Oct; 87(10):936-42. PubMed ID: 26147066
[TBL] [Abstract][Full Text] [Related]
11. Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning.
Liang S; Tang F; Huang X; Yang K; Zhong T; Hu R; Liu S; Yuan X; Zhang Y
Eur Radiol; 2019 Apr; 29(4):1961-1967. PubMed ID: 30302589
[TBL] [Abstract][Full Text] [Related]
12. OPTIMAL: An OPTimized Imaging Mass cytometry AnaLysis framework for benchmarking segmentation and data exploration.
Hunter B; Nicorescu I; Foster E; McDonald D; Hulme G; Fuller A; Thomson A; Goldsborough T; Hilkens CMU; Majo J; Milross L; Fisher A; Bankhead P; Wills J; Rees P; Filby A; Merces G
Cytometry A; 2024 Jan; 105(1):36-53. PubMed ID: 37750225
[TBL] [Abstract][Full Text] [Related]
13. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
14. Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX.
Magness A; Colliver E; Enfield KSS; Lee C; Shimato M; Daly E; Moore DA; Sivakumar M; Valand K; Levi D; Hiley CT; Hobson PS; van Maldegem F; Reading JL; Quezada SA; Downward J; Sahai E; Swanton C; Angelova M
Nat Commun; 2024 Jun; 15(1):5135. PubMed ID: 38879602
[TBL] [Abstract][Full Text] [Related]
15. Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.
Stember JN; Celik H; Krupinski E; Chang PD; Mutasa S; Wood BJ; Lignelli A; Moonis G; Schwartz LH; Jambawalikar S; Bagci U
J Digit Imaging; 2019 Aug; 32(4):597-604. PubMed ID: 31044392
[TBL] [Abstract][Full Text] [Related]
16. Segmentation and volume quantification of epicardial adipose tissue in computed tomography images.
Li Y; Song S; Sun Y; Bao N; Yang B; Xu L
Med Phys; 2022 Oct; 49(10):6477-6490. PubMed ID: 36047382
[TBL] [Abstract][Full Text] [Related]
17. A review on deep learning applications in highly multiplexed tissue imaging data analysis.
Zidane M; Makky A; Bruhns M; Rochwarger A; Babaei S; Claassen M; Schürch CM
Front Bioinform; 2023; 3():1159381. PubMed ID: 37564726
[TBL] [Abstract][Full Text] [Related]
18. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Lucena O; Souza R; Rittner L; Frayne R; Lotufo R
Artif Intell Med; 2019 Jul; 98():48-58. PubMed ID: 31521252
[TBL] [Abstract][Full Text] [Related]
19. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
Fassler DJ; Abousamra S; Gupta R; Chen C; Zhao M; Paredes D; Batool SA; Knudsen BS; Escobar-Hoyos L; Shroyer KR; Samaras D; Kurc T; Saltz J
Diagn Pathol; 2020 Jul; 15(1):100. PubMed ID: 32723384
[TBL] [Abstract][Full Text] [Related]
20. MSSort-DIA
Li Y; He Q; Guo H; Zhong CQ; Li X; Li Y; Han J; Shuai J
J Proteomics; 2022 May; 259():104542. PubMed ID: 35231660
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]