Detalhe da pesquisa
1.
Research advances in microfluidic collection and detection of virus, bacterial, and fungal bioaerosols.
Mikrochim Acta
; 191(3): 132, 2024 02 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-38351367
2.
Preoperative MRI-Based Radiomics of Brain Metastasis to Assess T790M Resistance Mutation After EGFR-TKI Treatment in NSCLC.
J Magn Reson Imaging
; 57(6): 1778-1787, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36165534
3.
Brain-Tumor Interface-Based MRI Radiomics Models to Determine EGFR Mutation, Response to EGFR-TKI and T790M Resistance Mutation in Non-Small Cell Lung Carcinoma Brain Metastasis.
J Magn Reson Imaging
; 58(6): 1838-1847, 2023 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37144750
4.
Multiregional radiomics of brain metastasis can predict response to EGFR-TKI in metastatic NSCLC.
Eur Radiol
; 33(11): 7902-7912, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-37142868
5.
Multiparametric MRI-based radiomics for the prediction of microvascular invasion in hepatocellular carcinoma.
Acta Radiol
; 64(2): 456-466, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-35354318
6.
Development and validation of MRI-based radiomics signatures as new markers for preoperative assessment of EGFR mutation and subtypes from bone metastases.
BMC Cancer
; 22(1): 889, 2022 Aug 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-35964032
7.
Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma.
Eur Radiol
; 32(10): 6739-6751, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-35729427
8.
Radiomics for prediction of response to EGFR-TKI based on metastasis/brain parenchyma (M/BP)-interface.
Radiol Med
; 127(12): 1342-1354, 2022 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-36284030
9.
Multiparametric MRI-Based Radiomics Approaches for Preoperative Prediction of EGFR Mutation Status in Spinal Bone Metastases in Patients with Lung Adenocarcinoma.
J Magn Reson Imaging
; 54(2): 497-507, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-33638577
10.
Associations of psychological distress with positive psychological variables and activities of daily living among stroke patients: a cross-sectional study.
BMC Psychiatry
; 19(1): 381, 2019 12 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-31795970
11.
Correction to: Radiomics for prediction of response to EGFR-TKI based on metastasis/brain parenchyma (M/BP)-interface.
Radiol Med
; 128(3): 381-382, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36867395
12.
Microfluidic platform for direct capture and analysis of airborne Mycobacterium tuberculosis.
Anal Chem
; 86(12): 5815-21, 2014 Jun 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-24857567
13.
Structural and functional characterization of the actin-1 gene promoter from the Antheraea pernyi (Lepidoptera: Saturniidae).
J Insect Sci
; 14: 173, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-25368086
14.
A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT images.
iScience
; 26(7): 107005, 2023 Jul 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-37534183
15.
Radiomics signatures for predicting the Ki-67 level and HER-2 status based on bone metastasis from primary breast cancer.
Front Cell Dev Biol
; 11: 1220320, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38264355
16.
Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI.
J Cancer Res Clin Oncol
; 148(1): 97-106, 2022 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-34623517
17.
Digital breast tomosynthesis-based peritumoral radiomics approaches in the differentiation of benign and malignant breast lesions.
Diagn Interv Radiol
; 28(3): 217-225, 2022 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-35748203
18.
Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer.
Diagn Interv Radiol
; 28(4): 312-321, 2022 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-35731710
19.
A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor.
Front Neuroinform
; 16: 973698, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35991287
20.
LWMA-Net: Light-weighted morphology attention learning for human embryo grading.
Comput Biol Med
; 151(Pt B): 106242, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36436483