38 results on '"Interlenghi, Matteo"'
Search Results
2. X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones
3. The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)
4. Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer
5. Imaging and spectroscopic data combined to disclose the painting techniques and materials in the fifteenth century Leonardo atelier in Milan
6. AI applications to medical images: From machine learning to deep learning
7. Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy
8. 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
9. AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics
10. Giotto Unveiled: New Developments in Imaging and Elemental Analysis Techniques for Cultural Heritage
11. Using Radiomics and Machine Learning Applied to MRI to Predict Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer
12. A Radiomic-Based Machine Learning System to Diagnose Age-Related Macular Degeneration from Ultra-Widefield Fundus Retinography
13. Giovanna Garzoni Miniaturist at the Savoy Court: Imaging and Materials Investigations to Discover the Painting Technique
14. Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine
15. 2022-RA-610-ESGO Radiomics and transvaginal ultrasound in adnexal masses: is the next future of diagnostics here?
16. Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus
17. A Combined Deep Learning System for Automatic Detection of “Bovine” Aortic Arch on Computed Tomography Scans
18. A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses
19. A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses
20. Predicting Outcome of Acquired Brain Injury by the Evolution of Paroxysmal Sympathetic Hyperactivity Signs
21. Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
22. Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia
23. Imaging and spectroscopic data combined to disclose the painting techniques and materials in the fifteenth century Leonardo atelier in Milan
24. Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness
25. Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia
26. A Decision Support System Based on BI-RADS and Radiomic Classifiers to Reduce False Positive Breast Calcifications at Digital Breast Tomosynthesis: A Preliminary Study
27. Radiomics and gene expression profile to characterize the disease and predict outcome in patients with lung cancer
28. The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)
29. Artificial intelligence applied on chest X-ray can aid in the diagnosis of COVID-19 infection: a first experience from Lombardy, Italy
30. The Giotto's workshop in the XXI century: looking inside the “God the Father with Angels” gable
31. Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease.
32. Parameters Influencing PET Imaging Features: A Phantom Study with Irregular and Heterogeneous Synthetic Lesions
33. An automatic segmentation method for the measurement of the functional volume of oncological lesions on MR ADC maps
34. A Method for Manufacturing Oncological Phantoms for the Quantification of 18F-FDG PET and DW-MRI Studies
35. An anthropomorphic phantom for advanced image processing of realistic18F-FDG PET-CT oncological studies
36. A radiomic machine learning model to predict prostate cancer response to CyberKnife treatment.
37. An Anthropomorphic Phantom for Advanced Image Processing of Realistic F-18-FDG PET-CT Oncological Studies
38. Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness
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