E-LIB Suche - Ergebnisse für: Sirinukunwattana, K

1

Enhancing local context of histology features in vision tra..:

Wood, R ; Sirinukunwattana, K ; Domingo, E...
doi:10.1007/978-3-031-19660-7_15. , 2022

Link: https://doi.org/10.1007/..

2

Automated quality assessment of large digitised histology c..:

Haghighat, M ; Browning, L ; Sirinukunwattana, K...
doi:10.1038/s41598-022-08351-5. , 2022

Link: https://doi.org/10.1038/..

3

Loss Of COP9-signalosome genes Aa 2q37 is associated with I..:

Gooding, S ; Ansari-Pour, N ; Kazeroun, MH...
doi:10.1182/blood.2022015909. , 2022

Link: https://doi.org/10.1182/..

4

A graph based neural network approach to immune profiling o..:

Martin, NG ; Malacrino, S ; Wojciechowska, M...
doi:10.1109/embc48229.2022.9871251. , 2022

Link: https://doi.org/10.1109/..

5

Transcriptome and genome evolution during HER2-amplified br..:

Lu, P ; Foley, J ; Zhu, C...
doi:10.1186/s13058-021-01451-6. , 2022

Link: https://doi.org/10.1186/..

6

Continuous Indexing of Fibrosis (CIF): improving the assess..:

Harrington, H ; Ryou, H ; Sirinukunwattana, K...
doi:10.1038/s41375-022-01773-0. , 2022

Link: https://doi.org/10.1038/..

7

The potential of artificial intelligence to detect lymphova..:

Ghosh, A ; Sirinukunwattana, K ; Khalid Alham, N...
doi:10.3390/cancers13061325. , 2021

Link: https://doi.org/10.3390/..

8

Image-based consensus molecular subtype classification (imC..:

Sirinukunwattana, K ; Domingo, E ; Richman, SD...
https://eprints.whiterose.ac.uk/163862/15/544.full.pdf. , 2021

Link: https://eprints.whiteros..

9

Artificial intelligence for advance requesting of immunohis..:

Chatrian, A ; Colling, R ; Browning, L...
doi:10.1038/s41379-021-00826-6. , 2021

Link: https://doi.org/10.1038/..

10

Detailed molecular and immune marker profiling of archival ..:

Rao, SR ; Alham, NK ; Upton, E...
doi:10.1016/j.jmoldx.2020.02.012. , 2020

Link: https://doi.org/10.1016/..

11

Image-based consensus molecular subtype classification (imC..:

Sirinukunwattana, K ; Domingo-Villanueva, E ; Richman, S...
doi:10.1136/gutjnl-2019-319866. , 2020

Link: https://doi.org/10.1136/..

12

Artificial intelligence-based morphological fingerprinting ..:

Sirinukunwattana, K ; Aberdeen, A ; Theissen, H...
doi:10.1182/bloodadvances.2020002230. , 2020

Link: https://doi.org/10.1182/..

13

Image-based consensus molecular subtype (imCMS) classificat..:

Sirinukunwattana, K ; Domingo, E ; Richman, SD...
https://discovery.ucl.ac.uk/id/eprint/10107588/1/gutjnl-2019-319866.full.pdf. , 2020

Link: https://discovery.ucl.ac..

14

Novel digital signatures of tissue phenotypes for predictin..:

Sirinukunwattana, K ; Snead, D ; Epstein, D...
doi:10.1038/s41598-018-31799-3. , 2019

Link: https://doi.org/10.1038/..

15

Author Correction: Why rankings of biomedical image analysi..:

Maier-Hein, L ; Eisenmann, M ; Reinke, A...
https://discovery.ucl.ac.uk/id/eprint/10068381/1/Maier-Hein_s41467-019-08563-w.pdf. , 2019

Link: https://discovery.ucl.ac..