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1.
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort.
Eur Radiol
; 31(11): 8775-8785, 2021 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-33934177
2.
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.
IEEE Trans Med Imaging
; 43(5): 1995-2009, 2024 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-38224508
3.
AUCReshaping: improved sensitivity at high-specificity.
Sci Rep
; 13(1): 21097, 2023 11 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-38036602
4.
Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19.
J Med Imaging (Bellingham)
; 9(3): 034003, 2022 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-35721308
5.
A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.
Radiat Oncol
; 17(1): 129, 2022 Jul 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-35869525
6.
Contrastive self-supervised learning from 100 million medical images with optional supervision.
J Med Imaging (Bellingham)
; 9(6): 064503, 2022 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-36466078
7.
Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.
Invest Radiol
; 56(8): 471-479, 2021 08 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33481459
8.
Detection and characterization of COVID-19 findings in chest CT: Feasibility and applicability of an AI-based software tool.
Medicine (Baltimore)
; 100(41): e27478, 2021 Oct 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-34731126
9.
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks.
IEEE Trans Med Imaging
; 40(1): 335-345, 2021 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32966215
10.
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment.
Med Image Anal
; 72: 102087, 2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34015595
11.
Quantifying and leveraging predictive uncertainty for medical image assessment.
Med Image Anal
; 68: 101855, 2021 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33260116
12.
Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.
Korean J Radiol
; 22(6): 994-1004, 2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33686818
13.
Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer.
J Nucl Med
; 61(12): 1786-1792, 2020 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-32332147
14.
Machine Learning/Deep Neuronal Network: Routine Application in Chest Computed Tomography and Workflow Considerations.
J Thorac Imaging
; 35 Suppl 1: S21-S27, 2020 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-32317574
15.
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT.
ArXiv
; 2020 Nov 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-32550252
16.
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT.
Radiol Artif Intell
; 2(4): e200048, 2020 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-33928255
17.
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans.
IEEE Trans Pattern Anal Mach Intell
; 41(1): 176-189, 2019 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-29990011
18.
Towards intelligent robust detection of anatomical structures in incomplete volumetric data.
Med Image Anal
; 48: 203-213, 2018 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-29966940
19.
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography.
Med Image Anal
; 35: 238-249, 2017 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-27475910
20.
Correction: A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.
Radiat Oncol
; 17(1): 149, 2022 Aug 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-35999593