51 results on '"Retico, A."'
Search Results
2. A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data.
3. Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research.
4. MUSA: A Platform for Data-Intensive Services in Edge-Cloud Continuum.
5. Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report.
6. Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues.
7. Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.
8. Analysis of a Flexible Dual-Channel Octagonal Coil System for UHF MRI.
9. Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria.
10. Voxelized Breast Phantoms for Dosimetry in Mammography.
11. Making Data Big for a Deep-learning Analysis: Aggregation of Public COVID-19 Datasets of Lung Computed Tomography Scans.
12. 3D Printing Materials for Physical Breast Phantoms: Monte Carlo Assessment and Experimental Validation.
13. Assessment of ultra-high-field Magnetic Resonance Imaging safety via temperature increase monitoring with Magnetic Resonance Thermometry.
14. Effect of data harmonization of multicentric dataset in ASD/TD classification.
15. Residual Convolutional Neural Networks for Breast Density Classification.
16. Residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features.
17. Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma Tumours Treated with Intensity Modulated Radiation Therapy.
18. Numerical and Workbench Design of 2.35 T Double-Tuned (¹H/²³Na) Nested RF Birdcage Coils Suitable for Animal Size MRI.
19. Evaluation of Dosimetric Properties in Full Field Digital Mammography (FFDM) - Development of a New Dose Index.
20. A new method to evaluate the average absorbed dose in mammography and breast tomosynthesis.
21. Subject-specific knee SAR prediction using a degenerate birdcage at 7T.
22. Double Tuned 1H-23Na Birdcage Coils for MRI at 7 T : Performance evaluation through electromagnetic simulations.
23. Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria.
24. Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T.
25. A Semiautomatic Image Processing Tool to Measure Small Structures in Magnetic Resonance Images of the Brain at 7 Tesla - Application to Hippocampus Subfields of Patients with Mild Cognitive Impairment.
26. Magnetic Resonance Imaging at 7 Tesla with Dedicated Radiofrequency Coils - Application to Cervical Cord and Knee.
27. Processing Magnetic Resonance Image Features with One-class Support Vector Machines - Investigation of the Autism Spectrum Disorder Heterogeneity.
28. ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders.
29. A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans.
30. Quantitative Scoring of Muscle Involvement in MRI of Neuromuscular Diseases.
31. A 7T double-tuned (1H/31P) microstrip surface RF coil for the IMAGO7 MR scanner.
32. A non-invasive method for a quantitative evaluation of muscle involvement in MRI of Neuromuscular Diseases.
33. Non-invasive assessment of Neuromuscular Disorders by 7 tesla Magnetic Resonance Imaging and Spectroscopy: Dedicated radio-frequency coil development.
34. Automated hippocampus segmentation with the Channeler Ant Model: Results on different datasets.
35. Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T.
36. Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).
37. Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study.
38. Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).
39. Global grid monitoring: the EGEE/WLCG case.
40. GPCALMA, a mammographic CAD in a GRID connection.
41. Female children with autism spectrum disorder: An insight from mass-univariate and pattern classification analyses.
42. Combination of computer-aided detection algorithms for automatic lung nodule identification.
43. Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.
44. Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.
45. Pleural nodule identification in low-dose and thin-slice lung computed tomography.
46. Lung nodule detection in low-dose and thin-slice computed tomography.
47. Computer-aided detection of pulmonary nodules in low-dose CT.
48. Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier.
49. Selective reduction of CAD false-positive findings.
50. A voxel-based neural approach (VBNA) to identify lung nodules in the ANODE09 study.
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