164 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. Automated Flow Cytometric MRD Assessment in Childhood Acute B- Lymphoblastic Leukemia Using Supervised Machine Learning.
Reiter M; Diem M; Schumich A; Maurer-Granofszky M; Karawajew L; Rossi JG; Ratei R; Groeneveld-Krentz S; Sajaroff EO; Suhendra S; Kampel M; Dworzak MN;
Cytometry A; 2019 Sep; 95(9):966-975. PubMed ID: 31282025
[TBL] [Abstract][Full Text] [Related]
3. Label-Free Identification of White Blood Cells Using Machine Learning.
Nassar M; Doan M; Filby A; Wolkenhauer O; Fogg DK; Piasecka J; Thornton CA; Carpenter AE; Summers HD; Rees P; Hennig H
Cytometry A; 2019 Aug; 95(8):836-842. PubMed ID: 31081599
[TBL] [Abstract][Full Text] [Related]
4. Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.
Lippeveld M; Knill C; Ladlow E; Fuller A; Michaelis LJ; Saeys Y; Filby A; Peralta D
Cytometry A; 2020 Mar; 97(3):308-319. PubMed ID: 31688997
[TBL] [Abstract][Full Text] [Related]
5. Minimal residual disease analysis by eight-color flow cytometry in relapsed childhood acute lymphoblastic leukemia.
Karawajew L; Dworzak M; Ratei R; Rhein P; Gaipa G; Buldini B; Basso G; Hrusak O; Ludwig WD; Henze G; Seeger K; von Stackelberg A; Mejstrikova E; Eckert C
Haematologica; 2015 Jul; 100(7):935-44. PubMed ID: 26001791
[TBL] [Abstract][Full Text] [Related]
6. [Minimal residual disease monitoring by flow cytometry in children with acute lymphoblastic leukemia].
Popov AM; Verzhbitskaia TIu; Tsaur GA; Shorikov EV; Savel'ev LI; Tsvirenko SV; Fechina LG
Klin Lab Diagn; 2010 Aug; (8):36-41. PubMed ID: 20886718
[TBL] [Abstract][Full Text] [Related]
7. Early (Day 15 Post Diagnosis) Peripheral Blood Assessment of Measurable Residual Disease in Flow Cytometry is a Strong Predictor of Outcome in Childhood B-Lineage Lymphoblastic Leukemia.
Loosveld M; Nivaggioni V; Arnoux I; Bernot D; Michel G; Béné MC; Eveillard M
Cytometry B Clin Cytom; 2019 Mar; 96(2):128-133. PubMed ID: 30734503
[TBL] [Abstract][Full Text] [Related]
8. IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.
Bibi N; Sikandar M; Ud Din I; Almogren A; Ali S
J Healthc Eng; 2020; 2020():6648574. PubMed ID: 33343851
[TBL] [Abstract][Full Text] [Related]
9. Major impact of an early bone marrow checkpoint (day 21) for minimal residual disease in flow cytometry in childhood acute lymphoblastic leukemia.
Eveillard M; Robillard N; Arnoux I; Garand R; Rialland F; Thomas C; Strullu M; Michel G; Béné MC; Fossat C; Loosveld M
Hematol Oncol; 2017 Jun; 35(2):237-243. PubMed ID: 26449287
[TBL] [Abstract][Full Text] [Related]
10. Prognostic importance of measuring early clearance of leukemic cells by flow cytometry in childhood acute lymphoblastic leukemia.
Coustan-Smith E; Sancho J; Behm FG; Hancock ML; Razzouk BI; Ribeiro RC; Rivera GK; Rubnitz JE; Sandlund JT; Pui CH; Campana D
Blood; 2002 Jul; 100(1):52-8. PubMed ID: 12070008
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A method comparison study of flow cytometry and cytomorphology to determine the percentages of blasts in patients with acute leukemia after induction and consolidation chemotherapy.
Wongprajun S; Auewarakul CU
J Med Assoc Thai; 2010 Jan; 93 Suppl 1():S157-64. PubMed ID: 20364570
[TBL] [Abstract][Full Text] [Related]
13. An open-source solution for advanced imaging flow cytometry data analysis using machine learning.
Hennig H; Rees P; Blasi T; Kamentsky L; Hung J; Dao D; Carpenter AE; Filby A
Methods; 2017 Jan; 112():201-210. PubMed ID: 27594698
[TBL] [Abstract][Full Text] [Related]
14. [Characteristics and monitoring of minimal residual disease in patients with T acute lymphoid leukemia by flow cytometry with two 4-color combinations of fluorescent antibodies].
Li L; Yuan XJ; Xu C; Jiang LM; Shen LS
Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2012 Oct; 20(5):1103-9. PubMed ID: 23114128
[TBL] [Abstract][Full Text] [Related]
15. [The clinical significance of detecting minimal residual disease in acute childhood B-cell lymphoblastic leukemia with flow cytometry].
Zhang LP; Cheng YF; Liu GL; Lu AD; Liu YR; Wang H
Zhonghua Er Ke Za Zhi; 2005 Jul; 43(7):481-5. PubMed ID: 16083543
[TBL] [Abstract][Full Text] [Related]
16. Hematologist-Level Classification of Mature B-Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry Data.
Zhao M; Mallesh N; Höllein A; Schabath R; Haferlach C; Haferlach T; Elsner F; Lüling H; Krawitz P; Kern W
Cytometry A; 2020 Oct; 97(10):1073-1080. PubMed ID: 32519455
[TBL] [Abstract][Full Text] [Related]
17. Two-Dimensional Light Scattering Anisotropy Cytometry for Label-Free Classification of Ovarian Cancer Cells via Machine Learning.
Su X; Yuan T; Wang Z; Song K; Li R; Yuan C; Kong B
Cytometry A; 2020 Jan; 97(1):24-30. PubMed ID: 31313517
[TBL] [Abstract][Full Text] [Related]
18. Methodological aspects of minimal residual disease assessment by flow cytometry in acute lymphoblastic leukemia: A French multicenter study.
Fossat C; Roussel M; Arnoux I; Asnafi V; Brouzes C; Garnache-Ottou F; Jacob MC; Kuhlein E; Macintyre-Davi E; Plesa A; Robillard N; Tkaczuk J; Ifrah N; Dombret H; Béné MC; Baruchel A; Garand R;
Cytometry B Clin Cytom; 2015 Jan; 88(1):21-9. PubMed ID: 25363877
[TBL] [Abstract][Full Text] [Related]
19. Prognostic value of persistent peripheral blood and bone marrow lymphoblasts on day 15 of therapy in childhood acute lymphoblastic leukemia as detected by flow cytometry.
Jaworska-Posadzy A; Styczynski J; Kubicka M; Debski R; Rafinska-Kurylo B; Kolodziej B; Pogorzala M; Wysocki M
Anticancer Res; 2011 Apr; 31(4):1453-7. PubMed ID: 21508402
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]