Detalhe da pesquisa
1.
Expert-augmented machine learning.
Proc Natl Acad Sci U S A
; 117(9): 4571-4577, 2020 03 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-32071251
2.
Building more accurate decision trees with the additive tree.
Proc Natl Acad Sci U S A
; 116(40): 19887-19893, 2019 10 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31527280
3.
Reply to Nock and Nielsen: On the work of Nock and Nielsen and its relationship to the additive tree.
Proc Natl Acad Sci U S A
; 117(16): 8694-8695, 2020 04 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-32265277
4.
Radiomic Phenotypes for Improving Early Prediction of Survival in Stage III Non-Small Cell Lung Cancer Adenocarcinoma after Chemoradiation.
Cancers (Basel)
; 14(3)2022 Jan 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35158971
5.
Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy.
Sci Rep
; 12(1): 9993, 2022 06 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35705618
6.
Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography.
Cancers (Basel)
; 13(23)2021 Nov 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-34885094
7.
Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation.
Clin Transl Radiat Oncol
; 22: 69-75, 2020 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-32274426
8.
Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.
Radiother Oncol
; 133: 106-112, 2019 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30935565
9.
MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine.
Sci Rep
; 6: 37854, 2016 11 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-27901055