Detalhe da pesquisa
1.
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.
Bioinformatics
; 36(17): 4668-4670, 2020 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32589734
2.
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Med Image Anal
; 92: 103047, 2024 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-38157647
3.
Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation.
IEEE Trans Biomed Eng
; 70(9): 2519-2528, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37028023
4.
Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking.
PLoS One
; 18(3): e0283828, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37000778
5.
Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis.
PLoS One
; 16(9): e0257635, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34550999
6.
Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy.
PLoS One
; 15(12): e0243219, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33290432