Detalhe da pesquisa
1.
AI-Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches.
J Magn Reson Imaging
; 2024 Jan 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38243677
2.
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion.
J Magn Reson Imaging
; 54(2): 462-471, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-33719168
3.
Editorial for "Parallel CNN-Deep Learning Clinical-Imaging Signature for Assessing Pathologic Grade and Prognosis of Soft Tissue Sarcoma Patients".
J Magn Reson Imaging
; 2024 Jun 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38896101
4.
Editorial for "Automated Breast Density Assessment in MRI using Deep Learning and Radiomics: Strategies for Reducing Inter-observer Variability".
J Magn Reson Imaging
; 2023 Oct 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-37818764
5.
Artificial intelligence in neuroradiology: a scoping review of some ethical challenges.
Front Radiol
; 3: 1149461, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37492387
6.
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.
Lancet Digit Health
; 5(1): e28-e40, 2023 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36543475
7.
Harnessing multimodal data integration to advance precision oncology.
Nat Rev Cancer
; 22(2): 114-126, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34663944
8.
Weakly-supervised tumor purity prediction from frozen H&E stained slides.
EBioMedicine
; 80: 104067, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-35644123
9.
Deep learning predicts chromosomal instability from histopathology images.
iScience
; 24(5): 102394, 2021 May 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-33997679
10.
Disruption of Protein Complexes from Weighted Complex Networks.
IEEE/ACM Trans Comput Biol Bioinform
; 17(1): 102-109, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-30047895
11.
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.
NPJ Digit Med
; 2: 21, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31304368
12.
Exploring candidate biomarkers for lung and prostate cancers using gene expression and flux variability analysis.
Integr Biol (Camb)
; 10(2): 113-120, 2018 02 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-29349465
13.
Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images.
EBioMedicine
; 27: 317-328, 2018 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-29292031
14.
The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer.
Genomics Proteomics Bioinformatics
; 15(6): 396-404, 2017 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-29247873
15.
Erratum to: Inferring interaction type in gene regulatory networks using co-expression data.
Algorithms Mol Biol
; 10: 25, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26265933
16.
Comparative Analysis of Prostate Cancer Gene Regulatory Networks via Hub Type Variation.
Avicenna J Med Biotechnol
; 7(1): 8-15, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-25926947
17.
Inferring interaction type in gene regulatory networks using co-expression data.
Algorithms Mol Biol
; 10: 23, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26157474
18.
Network-based approach reveals Y chromosome influences prostate cancer susceptibility.
Comput Biol Med
; 54: 24-31, 2014 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-25199846
19.
Analysis of candidate genes has proposed the role of y chromosome in human prostate cancer.
Iran J Cancer Prev
; 7(4): 204-11, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25628841
20.
Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory network.
Gene
; 531(2): 212-9, 2013 Dec 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-24042128