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1.
Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy.
Radiology;
311(1): e232714, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-38625012
2.
GPT-4 for Automated Determination of Radiological Study and Protocol based on Radiology Request Forms: A Feasibility Study.
Radiology;
307(5): e230877, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37310247
3.
Computed tomography-based angle measurements of the sagittal capitulum and trochlea position in relation to the humeral shaft.
Surg Radiol Anat;
45(5): 571-580, 2023 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-36892617
4.
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.
BMC Med Imaging;
21(1): 69, 2021 04 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-33849483
5.
Virtual Monoenergetic Images From a Novel Dual-Layer Spectral Detector Computed Tomography Scanner in Portal Venous Phase: Adjusted Window Settings Depending on Assessment Focus Are Essential for Image Interpretation.
J Comput Assist Tomogr;
42(3): 350-356, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-29369944
6.
The worldwide COVID-19 pandemic caused a decline in sonographic examinations - is this a continuing trend?
Rofo;
2024 Mar 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-38479409
7.
Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers.
Eur J Radiol;
175: 111418, 2024 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-38490130
8.
Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects.
Diagnostics (Basel);
13(3)2023 Jan 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-36766523
9.
A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers.
Br J Radiol;
96(1146): 20220074, 2023 Jun 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37086077
10.
Transfer-Learning Deep Radiomics and Hand-Crafted Radiomics for Classifying Lymph Nodes from Contrast-Enhanced Computed Tomography in Lung Cancer.
Cancers (Basel);
15(10)2023 May 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-37345187
11.
Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network.
Eur Radiol Exp;
7(1): 45, 2023 07 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-37505296
12.
Prediction of anemia on enhanced computed tomography of the thorax using virtual non-contrast reconstructions.
Medicine (Baltimore);
100(48): e28014, 2021 Dec 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-35049212
13.
Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network.
Eur J Radiol;
139: 109718, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-33962109
14.
Lymph Node Assessment in Prostate Cancer: Evaluation of Iodine Quantification With Spectral Detector CT in Correlation to PSMA PET/CT.
Clin Nucl Med;
46(4): 303-309, 2021 04 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33443954
15.
Accelerated MRI of the knee. Quality and efficiency of compressed sensing.
Eur J Radiol;
132: 109273, 2020 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-32957000
16.
Computed tomography pulmonary angiograms using a novel dual-layer spectral detector: Adjusted window settings are essential for diagnostic image quality.
Medicine (Baltimore);
98(33): e16606, 2019 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-31415352
17.
Diagnostic value of spectral reconstructions in detecting incidental skeletal muscle metastases in CT staging examinations.
Cancer Imaging;
19(1): 50, 2019 Jul 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-31315666
18.
Poly-energetic and virtual mono-energetic images from a novel dual-layer spectral detector CT: optimization of window settings is crucial to improve subjective image quality in abdominal CT angiographies.
Abdom Radiol (NY);
43(3): 742-750, 2018 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-28677003
19.
Utilization of virtual mono-energetic images (MonoE) derived from a dual-layer spectral detector CT (SDCT) for the assessment of abdominal arteries in venous contrast phase scans.
Eur J Radiol;
99: 28-33, 2018 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-29362148
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