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1.
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities.
Radiol Med
; 128(8): 989-998, 2023 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-37335422
2.
Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer.
Eur J Nucl Med Mol Imaging
; 48(11): 3643-3655, 2021 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-33959797
3.
AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.
Eur J Nucl Med Mol Imaging
; 46(13): 2673-2699, 2019 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-31292700
4.
X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones.
EBioMedicine
; 101: 105018, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38377797
5.
Using Radiomics and Machine Learning Applied to MRI to Predict Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer.
Diagnostics (Basel)
; 13(19)2023 Oct 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37835882
6.
A Radiomic-Based Machine Learning System to Diagnose Age-Related Macular Degeneration from Ultra-Widefield Fundus Retinography.
Diagnostics (Basel)
; 13(18)2023 Sep 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37761333
7.
A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.
Diagnostics (Basel)
; 12(1)2022 Jan 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35054354
8.
Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine.
Healthcare (Basel)
; 10(12)2022 12 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-36553988
9.
Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus.
Radiol Artif Intell
; 4(2): e210199, 2022 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-35391766
10.
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters.
J Vis Exp
; (172)2021 06 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-34223834
11.
A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125.
Eur Radiol Exp
; 5(1): 28, 2021 07 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-34308487
12.
Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy.
Eur Radiol Exp
; 5(1): 7, 2021 02 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33527198
13.
The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study).
J Ultrasound
; 24(4): 429-437, 2021 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-32696414
14.
Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia.
Diagnostics (Basel)
; 11(3)2021 Mar 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-33809625
15.
Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness.
Diagnostics (Basel)
; 11(4)2021 Mar 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-33810222
16.
AI applications to medical images: From machine learning to deep learning.
Phys Med
; 83: 9-24, 2021 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-33662856
17.
Predicting Outcome of Acquired Brain Injury by the Evolution of Paroxysmal Sympathetic Hyperactivity Signs.
J Neurotrauma
; 38(14): 1988-1994, 2021 07 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-33371784
18.
Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease.
Front Neurol
; 11: 576194, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33250847
19.
Parameters Influencing PET Imaging Features: A Phantom Study with Irregular and Heterogeneous Synthetic Lesions.
Contrast Media Mol Imaging
; 2018: 5324517, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-30275800
20.
A Method for Manufacturing Oncological Phantoms for the Quantification of 18F-FDG PET and DW-MRI Studies.
Contrast Media Mol Imaging
; 2017: 3461684, 2017.
Artículo
en Inglés
| MEDLINE | ID: mdl-29097916
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