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A cost-effectiveness analysis of an integrated clinical-radiogenomic screening program for the identification of BRCA 1/2 carriers (e-PROBE study)

Scientific reports, 2024-01, Vol.14 (1), p.928-928, Article 928

2024

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Stability of dosomics features extraction on grid resolution and algorithm for radiotherapy dose calculation

Physica medica, 2020-09, Vol.77, p.30-35

2020

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Developing and validating ultrasound‐based radiomics models for predicting high‐risk endometrial cancer

Ultrasound in obstetrics & gynecology, 2022-08, Vol.60 (2), p.256-268

2022

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On dose cube pixel spacing pre-processing for features extraction stability in dosiomic studies

Physica medica, 2021-10, Vol.90, p.108-114

2021

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OC10.01: Developing and validating ultrasound‐based radiomics models for predicting high‐risk category in endometrial cancer patients

Ultrasound in obstetrics & gynecology, 2021-10, Vol.58 (S1), p.31-31

2021

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Process mining to optimize palliative patient flow in a high-volume radiotherapy department

Technical innovations & patient support in radiation oncology, 2021-03, Vol.17, p.32-39

2021

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Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator

Frontiers in computer science (Lausanne), 2021-12, Vol.3

2021

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PO-1792 On dose cube pixel spacing pre-processing for features extraction stability in dosomic studies

Radiotherapy and oncology, 2021-08, Vol.161, p.S1517-S1518

2021

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Ultrasound in obstetrics & gynecology, 2022-08, Vol.60 (2), p.299-300

2022

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Ultrasound in obstetrics & gynecology, 2022-08, Vol.60 (2), p.299-300

2022

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Ultrasound in obstetrics & gynecology, 2022-08, Vol.60 (2), p.299-300

2022

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PO-1814 Enhancing a radiomic-based model prediction of patient outcome in locally advanced rectal cancer

Radiotherapy and oncology, 2021-08, Vol.161, p.S1543-S1544

2021

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Local Tuning of an Existing Externally Developed Radiomic-Based Model for Predicting Patient Outcome in Locally Advanced Rectal Cancer

International journal of radiation oncology, biology, physics, 2021-11, Vol.111 (3), p.e106-e106

2021

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PO-1570: Robustness of dosomic features extraction on grid resolution and algorithm model calculation

Radiotherapy and oncology, 2020-11, Vol.152, p.S850-S851

2020

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PO-1278: Process mining for the optimization of palliative patients’ workflow in a radiotherapy department

Radiotherapy and oncology, 2020-11, Vol.152, p.S673-S674

2020

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Stability of dosiomics features extraction on dose voxel cube pixel spacing and calculation grid resolution and algorithm

Physica medica, 2021-12, Vol.92, p.S79

2021

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OD50 - Stability of dosiomics features extraction on dose voxel cube pixel spacing and calculation grid resolution and algorithm

Physica medica, 2021-12, Vol.92, p.S79-S79

2021

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356P Late-onset pancreatic cancer (LOPC) patients (pts) treated at an Italian center: A real-word analysis from the Gemelli GENERATOR experience

Annals of oncology, 2024-06, Vol.35, p.S147-S147

2024

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348P Early-onset pancreatic cancer (EOPC) patients (pts) treated at an Italian third level referral center: A real-word artificial-intelligence (AI) analysis from the Gemelli Generator experience

Annals of oncology, 2024-06, Vol.35, p.S145-S145

2024

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POS1142 DEVELOPMENT AND VALIDATION OF A RULE-BASED FRAMEWORK FOR AUTOMATED IDENTIFICATION OF LONGITUDINAL CLINICAL FEATURES ABOUT SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS FROM ELECTRONIC HEALTH RECORDS

Annals of the rheumatic diseases, 2024-06, Vol.83 (Suppl 1), p.1014-1014

2024

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AB1067 VALIDATION OF MACHINE LEARNING ALGORITHM TO CHARACTERIZE DISEASE COMPLEXITY AND FLARES IN SYSTEMIC LUPUS ERYTHEMATOSUS

Annals of the rheumatic diseases, 2024-06, Vol.83 (Suppl 1), p.1849-1850

2024

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PO-1261 Predictive model of 2yDFS during MR guided RT neoadjuvant chemoradiotherapy in LARC patients

Radiotherapy and oncology, 2021-08, Vol.161, p.S1039-S1041

2021

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P-177 Italian real world artificial intelligence (AI) based analysis of EaRly-onset COLorEctal cancer: The ERCOLE study

Annals of oncology, 2023-06, Vol.34, p.S79-S79

2023

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P-110 Epidemiological and clinicopathological features of early- (EOPC) and late-onset pancreatic cancer (LOPC) patients (pts): A mono-institutional retrospective analysis

Annals of oncology, 2023-06, Vol.34, p.S53-S53

2023

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PO-1679 Deep learning approach to generate synthetic CT from CBCT for online adaptive radiotherapy in pelvis

Radiotherapy and oncology, 2023-05, Vol.182, p.S1385-S1387

2023

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A cost-effectiveness analysis of an integrated clinical-radiogenomic screening program for the identification of BRCA 1/2 carriers (e-PROBE study)

Stability of dosomics features extraction on grid resolution and algorithm for radiotherapy dose calculation

Developing and validating ultrasound‐based radiomics models for predicting high‐risk endometrial cancer

On dose cube pixel spacing pre-processing for features extraction stability in dosiomic studies

OC10.01: Developing and validating ultrasound‐based radiomics models for predicting high‐risk category in endometrial cancer patients

Process mining to optimize palliative patient flow in a high-volume radiotherapy department

Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator

PO-1792 On dose cube pixel spacing pre-processing for features extraction stability in dosomic studies

Reply

Reply

Reply

PO-1814 Enhancing a radiomic-based model prediction of patient outcome in locally advanced rectal cancer

Local Tuning of an Existing Externally Developed Radiomic-Based Model for Predicting Patient Outcome in Locally Advanced Rectal Cancer

PO-1570: Robustness of dosomic features extraction on grid resolution and algorithm model calculation

PO-1278: Process mining for the optimization of palliative patients’ workflow in a radiotherapy department

Stability of dosiomics features extraction on dose voxel cube pixel spacing and calculation grid resolution and algorithm

OD50 - Stability of dosiomics features extraction on dose voxel cube pixel spacing and calculation grid resolution and algorithm

356P Late-onset pancreatic cancer (LOPC) patients (pts) treated at an Italian center: A real-word analysis from the Gemelli GENERATOR experience

348P Early-onset pancreatic cancer (EOPC) patients (pts) treated at an Italian third level referral center: A real-word artificial-intelligence (AI) analysis from the Gemelli Generator experience

POS1142 DEVELOPMENT AND VALIDATION OF A RULE-BASED FRAMEWORK FOR AUTOMATED IDENTIFICATION OF LONGITUDINAL CLINICAL FEATURES ABOUT SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS FROM ELECTRONIC HEALTH RECORDS

AB1067 VALIDATION OF MACHINE LEARNING ALGORITHM TO CHARACTERIZE DISEASE COMPLEXITY AND FLARES IN SYSTEMIC LUPUS ERYTHEMATOSUS

PO-1261 Predictive model of 2yDFS during MR guided RT neoadjuvant chemoradiotherapy in LARC patients

P-177 Italian real world artificial intelligence (AI) based analysis of EaRly-onset COLorEctal cancer: The ERCOLE study

P-110 Epidemiological and clinicopathological features of early- (EOPC) and late-onset pancreatic cancer (LOPC) patients (pts): A mono-institutional retrospective analysis

PO-1679 Deep learning approach to generate synthetic CT from CBCT for online adaptive radiotherapy in pelvis

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