Detalhe da pesquisa
1.
Deep learning detects genetic alterations in cancer histology generated by adversarial networks.
J Pathol
; 254(1): 70-79, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33565124
2.
Spatially resolved electrical impedance methods for cell and particle characterization.
Electrophoresis
; 41(1-2): 65-80, 2020 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31663624
3.
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance.
Comput Biol Med
; 175: 108410, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38678938
4.
A simple approach for detecting HLA-A*02 alleles in archival formalin-fixed paraffin-embedded tissue samples and an application example for studying cancer immunoediting.
HLA
; 101(1): 24-33, 2023 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36251018
5.
The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution.
Nat Commun
; 11(1): 4740, 2020 09 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-32958755
6.
Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow.
Micromachines (Basel)
; 10(5)2019 May 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31075890