Detalhe da pesquisa
1.
MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.
Radiology
; 309(1): e222441, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37815445
2.
Thyroid Nodules on Ultrasound in Children and Young Adults: Comparison of Diagnostic Performance of Radiologists' Impressions, ACR TI-RADS, and a Deep Learning Algorithm.
AJR Am J Roentgenol
; 220(3): 408-417, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36259591
3.
Deep Learning for Breast MRI Style Transfer with Limited Training Data.
J Digit Imaging
; 36(2): 666-678, 2023 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36544066
4.
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach.
J Digit Imaging
; 36(6): 2402-2410, 2023 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37620710
5.
Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features.
Radiology
; 303(1): 54-62, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34981975
6.
Artificial Intelligence (AI) Tools for Thyroid Nodules on Ultrasound, From the AJR Special Series on AI Applications.
AJR Am J Roentgenol
; 219(4): 1-8, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35383487
7.
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning.
BMC Med Inform Decis Mak
; 22(1): 102, 2022 04 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35428335
8.
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.
Breast Cancer Res Treat
; 173(2): 455-463, 2019 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-30328048
9.
Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.
Radiology
; 292(3): 695-701, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31287391
10.
Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
Radiology
; 292(1): 112-119, 2019 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-31112088
11.
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.
J Magn Reson Imaging
; 49(4): 939-954, 2019 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30575178
12.
Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.
J Magn Reson Imaging
; 50(2): 456-464, 2019 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-30648316
13.
Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer.
J Magn Reson Imaging
; 49(7): e231-e240, 2019 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-30672045
14.
How accurate and precise are CT based measurements of iodine concentration? A comparison of the minimum detectable concentration difference among single source and dual source dual energy CT in a phantom study.
Eur Radiol
; 29(4): 2069-2078, 2019 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-30276672
15.
Can Texture Analysis Be Used to Distinguish Benign From Malignant Adrenal Nodules on Unenhanced CT, Contrast-Enhanced CT, or In-Phase and Opposed-Phase MRI?
AJR Am J Roentgenol
; 212(3): 554-561, 2019 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-30620676
16.
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features.
Br J Cancer
; 119(4): 508-516, 2018 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-30033447
17.
Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival.
Breast Cancer Res Treat
; 172(1): 123-132, 2018 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-29992418
18.
Comparison of Visualization Rates of LI-RADS Version 2014 Major Features With IV Gadobenate Dimeglumine or Gadoxetate Disodium in Patients at Risk for Hepatocellular Carcinoma.
AJR Am J Roentgenol
; 210(6): 1266-1272, 2018 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-29629800
19.
Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset.
Breast Cancer Res Treat
; 162(1): 1-10, 2017 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-28064383
20.
Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?
J Magn Reson Imaging
; 46(5): 1332-1340, 2017 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-28181348