74 related articles for article (PubMed ID: 32091180)
1. Label-Free Leukemia Monitoring by Computer Vision.
Doan M; Case M; Masic D; Hennig H; McQuin C; Caicedo J; Singh S; Goodman A; Wolkenhauer O; Summers HD; Jamieson D; Delft FV; Filby A; Carpenter AE; Rees P; Irving J
Cytometry A; 2020 Apr; 97(4):407-414. PubMed ID: 32091180
[TBL] [Abstract][Full Text] [Related]
2. Machine Learning of Discriminative Gate Locations for Clinical Diagnosis.
Ji D; Putzel P; Qian Y; Chang I; Mandava A; Scheuermann RH; Bui JD; Wang HY; Smyth P
Cytometry A; 2020 Mar; 97(3):296-307. PubMed ID: 31691488
[TBL] [Abstract][Full Text] [Related]
3. Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology.
Baik M; Shin S; Kumar S; Seo D; Lee I; Jun HS; Kang KW; Kim BS; Nam MH; Seo S
Biosensors (Basel); 2023 Nov; 13(12):. PubMed ID: 38131753
[TBL] [Abstract][Full Text] [Related]
4. Deep learning-based light scattering microfluidic cytometry for label-free acute lymphocytic leukemia classification.
Sun J; Wang L; Liu Q; Tárnok A; Su X
Biomed Opt Express; 2020 Nov; 11(11):6674-6686. PubMed ID: 33282516
[TBL] [Abstract][Full Text] [Related]
5. Siamese deep learning video flow cytometry for automatic and label-free clinical cervical cancer cell analysis.
Liu C; Yuan Z; Liu Q; Song K; Kong B; Su X
Biomed Opt Express; 2024 Apr; 15(4):2063-2077. PubMed ID: 38633087
[TBL] [Abstract][Full Text] [Related]
6. DeepIFC: Virtual fluorescent labeling of blood cells in imaging flow cytometry data with deep learning.
Timonen VA; Kerkelä E; Impola U; Penna L; Partanen J; Kilpivaara O; Arvas M; Pitkänen E
Cytometry A; 2023 Oct; 103(10):807-817. PubMed ID: 37276178
[TBL] [Abstract][Full Text] [Related]
7. Objective assessment of stored blood quality by deep learning.
Doan M; Sebastian JA; Caicedo JC; Siegert S; Roch A; Turner TR; Mykhailova O; Pinto RN; McQuin C; Goodman A; Parsons MJ; Wolkenhauer O; Hennig H; Singh S; Wilson A; Acker JP; Rees P; Kolios MC; Carpenter AE
Proc Natl Acad Sci U S A; 2020 Sep; 117(35):21381-21390. PubMed ID: 32839303
[TBL] [Abstract][Full Text] [Related]
8. Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data.
Rosenberg CA; Rodrigues MA; Bill M; Ludvigsen M
Sci Rep; 2024 Apr; 14(1):9349. PubMed ID: 38654058
[TBL] [Abstract][Full Text] [Related]
9. PXPermute reveals staining importance in multichannel imaging flow cytometry.
Shetab Boushehri S; Kornivetc A; Winter DJE; Kazeminia S; Essig K; Schmich F; Marr C
Cell Rep Methods; 2024 Feb; 4(2):100715. PubMed ID: 38412831
[TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence in imaging flow cytometry.
Pozzi P; Candeo A; Paiè P; Bragheri F; Bassi A
Front Bioinform; 2023; 3():1229052. PubMed ID: 37877042
[No Abstract] [Full Text] [Related]
11. Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine.
Isiksacan Z; D'Alessandro A; Wolf SM; McKenna DH; Tessier SN; Kucukal E; Gokaltun AA; William N; Sandlin RD; Bischof J; Mohandas N; Busch MP; Elbuken C; Gurkan UA; Toner M; Acker JP; Yarmush ML; Usta OB
Proc Natl Acad Sci U S A; 2023 Aug; 120(32):e2115616120. PubMed ID: 37494421
[TBL] [Abstract][Full Text] [Related]
12. Leveraging machine learning to identify acute myeloid leukemia patients and their chemotherapy regimens in an administrative database.
Cao L; Huang YS; Wu C; Getz K; Miller TP; Ruiz J; Fisher BT; Seif AE; Aplenc R; Li Y
Pediatr Blood Cancer; 2023 May; 70(5):e30260. PubMed ID: 36815580
[TBL] [Abstract][Full Text] [Related]
13. Detection of acute promyelocytic leukemia in peripheral blood and bone marrow with annotation-free deep learning.
Manescu P; Narayanan P; Bendkowski C; Elmi M; Claveau R; Pawar V; Brown BJ; Shaw M; Rao A; Fernandez-Reyes D
Sci Rep; 2023 Feb; 13(1):2562. PubMed ID: 36781917
[TBL] [Abstract][Full Text] [Related]
14. Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary.
Srisuwananukorn A; Salama ME; Pearson AT
Haematologica; 2023 Aug; 108(8):1993-2010. PubMed ID: 36700396
[TBL] [Abstract][Full Text] [Related]
15. A New Image for Cell Sorting.
Filby A; Carpenter AE
N Engl J Med; 2022 May; 386(18):1755-1758. PubMed ID: 35507488
[No Abstract] [Full Text] [Related]
16. A weakly supervised deep learning approach for label-free imaging flow-cytometry-based blood diagnostics.
Otesteanu CF; Ugrinic M; Holzner G; Chang YT; Fassnacht C; Guenova E; Stavrakis S; deMello A; Claassen M
Cell Rep Methods; 2021 Oct; 1(6):100094. PubMed ID: 35474892
[TBL] [Abstract][Full Text] [Related]
17. Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.
Ramesh S; Chokkara S; Shen T; Major A; Volchenboum SL; Mayampurath A; Applebaum MA
JCO Clin Cancer Inform; 2021 Dec; 5():1208-1219. PubMed ID: 34910588
[TBL] [Abstract][Full Text] [Related]
18. An image-based flow cytometric approach to the assessment of the nucleus-to-cytoplasm ratio.
Sebastian JA; Moore MJ; Berndl ESL; Kolios MC
PLoS One; 2021; 16(6):e0253439. PubMed ID: 34166419
[TBL] [Abstract][Full Text] [Related]
19. Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry.
Doan M; Barnes C; McQuin C; Caicedo JC; Goodman A; Carpenter AE; Rees P
Nat Protoc; 2021 Jul; 16(7):3572-3595. PubMed ID: 34145434
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning in Biomedical Optics.
Tian L; Hunt B; Bell MAL; Yi J; Smith JT; Ochoa M; Intes X; Durr NJ
Lasers Surg Med; 2021 Aug; 53(6):748-775. PubMed ID: 34015146
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]