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antonella.delgaudio@uniroma1.it
Antonella Del Gaudio
Dottorando
Struttura:
DIPARTIMENTO DI SCIENZE MEDICO-CHIRURGICHE E DI MEDICINA TRASLAZIONALE
E-mail:
antonella.delgaudio@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography
EUROPEAN RADIOLOGY
2024
Lean body weight-based contrast injection protocol in liver CT: optimization of contrast medium dose
LA RADIOLOGIA MEDICA
2024
Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography
LA RADIOLOGIA MEDICA
2023
Radiomics analysis in gastrointestinal imaging: a narrative review
DIGESTIVE MEDICINE RESEARCH
2023
Low-dose liver CT: image quality and diagnostic accuracy of deep learning image reconstruction algorithm
EUROPEAN RADIOLOGY
2023
Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol
SKELETAL RADIOLOGY
2023
The Role of Chest CT Radiomics in Diagnosis of Lung Cancer or Tuberculosis. A Pilot Study
DIAGNOSTICS
2022
A Case Report of Multiple Gastrointestinal Stromal Tumors: Imaging Findings, Surgical Approach, and Review of the Literature
FRONTIERS IN SURGERY
2022
MRI techniques for the evaluation on liver fat content: comparison between different techniques
ESGAR annual meeting 2022
2022
Deep-learning image reconstruction for low-dose liver CT
ESGAR 2022 book of abstracts
2022
Lumbar spine MRI: comparison of novel deep learning algorithm and conventional sequences on 1.5T
ECR 2022 Book of Abstracts
2022
Deep learning image reconstruction algorithm improves image quality of abdominal computed tomography: extensive comparison with hybrid iterative reconstruction
2022
Radiomic cancer hallmarks to identify high-risk patients in non-metastatic colon cancer
CANCERS
2022
Adrenal Lesions: A Review of Imaging
DIAGNOSTICS
2022
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