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A systematic review of data sources for artificial intelligence applications in pediatric brain tumors in Europe: implications for bias and generalizability

Frontiers in oncology, 2023-10, Vol.13, p.1285775-1285775

2023

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Machine Learning Analysis in Diffusion Kurtosis Imaging for Discriminating Pediatric Posterior Fossa Tumors: A Repeatability and Accuracy Pilot Study

Cancers, 2024-07, Vol.16 (14), p.2578

2024

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Developing a Predictive Grading Model for Children with Gliomas Based on Diffusion Kurtosis Imaging Metrics: Accuracy and Clinical Correlations with Patient Survival

Cancers, 2022-09, Vol.14 (19), p.4778

2022

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MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art

Therapeutic Advances in Neurological Disorders, 2018-01, Vol.11, p.1756286418775375-1756286418775375

2018

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Direct Involvement of Cranial Nerve V at Diagnosis in Patients With Diffuse Intrinsic Pontine Glioma: A Potential Magnetic Resonance Predictor of Short-Term Survival

Frontiers in oncology, 2019-04, Vol.9, p.204

2019

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Congenital Craniofacial Plexiform Neurofibroma in Neurofibromatosis Type 1

Diagnostics (Basel), 2021-02, Vol.11 (2), p.218

2021

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Development of a contouring guide in three different head set-ups for hippocampal sparing radiotherapy: a practical approach

Radiologia medica, 2017-09, Vol.122 (9), p.683-689

2017

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Frontal Osteoma‐Induced Headache Revealed by Conventional Radiography With a False Negative MRI: Röntgen Strikes Back

Headache, 2020-03, Vol.60 (3), p.615-616

2020

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SURG-03. IMMERSIVE VIRTUAL REALITY APPLICATIONS IN NEUROSURGICAL ONCOLOGY

Neuro-oncology (Charlottesville, Va.), 2020-12, Vol.22 (Supplement_3), p.iii461-iii461

2020

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Cerebral amyloid angiopathy-related inflammation: a rare disease that needs to be diagnosed

BMJ case reports, 2021-03, Vol.14 (3), p.e242057

2021

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Differentiating solitary brain metastases from high-grade gliomas with MR: comparing qualitative versus quantitative diagnostic strategies

Radiologia medica, 2022-08, Vol.127 (8), p.891-898

2022

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3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients

Journal of digital imaging, 2023-04, Vol.36 (2), p.603-616

2023

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IMG-14. DEVELOPING A PREDICTIVE GRADING MODEL FOR CHILDREN WITH GLIOMAS BASED ON DIFFUSION KURTOSIS IMAGING METRICS: ACCURACY AND CLINICAL CORRELATIONS WITH SURVIVAL

Neuro-oncology (Charlottesville, Va.), 2020-12, Vol.22 (Supplement_3), p.iii357-iii358

2020

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Half-dose versus full-dose macrocyclic gadolinium at 3-T magnetic resonance imaging in paediatric bone and soft-tissue disease

Pediatric radiology, 2018-11, Vol.48 (12), p.1724-1735

2018

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IMG-19. RADIOMICS AND SUPERVISED DEEP LEARNING TO PREDICT MOLECULAR SUBGROUPS IN MEDULLOBLASTOMA BASED ON WHOLE TUMOR VOLUME LABELING: A SINGLE CENTER MULTIPARAMETRIC MR ANALYSIS

Neuro-oncology (Charlottesville, Va.), 2020-12, Vol.22 (Supplement_3), p.iii358-iii359

2020

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IMG-16. WHOLE TUMOR DIFFUSION KURTOSIS IMAGING ANALYSIS FOR DISCRIMINATING PEDIATRIC POSTERIOR FOSSA TUMORS: ACCURACY AND REPEATABILITY

Neuro-oncology (Charlottesville, Va.), 2020-12, Vol.22 (Supplement_3), p.iii358-iii358

2020

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RONC-16. RISK OF PREMATURE RADIONECROSIS IN PAEDIATRIC PATIENTS WITH HIGH RISK MEDULLOBLASTOMA TREATED WITH PROTONS ON THE CRANIUM SPINAL AXIS

Neuro-oncology (Charlottesville, Va.), 2018-06, Vol.20 (suppl_2), p.i177-i178

2018

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RONC-19. LATE NEUROPSYCHOLOGICAL OUTCOMES WITH PROTON RADIATION IN CHILDREN WITH BRAIN TUMOR

Neuro-oncology (Charlottesville, Va.), 2018-06, Vol.20 (suppl_2), p.i178-i178

2018

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RADI-19. DIFFUSION KURTOSIS IMAGING CAN HELP DIFFERENTIATE LOW- AND HIGH-GRADE GLIOMAS IN PEDIATRIC PATIENTS WITH SPECIFIC LOCATION-RELATED PATTERNS: A PROSPECTIVE SINGLE CENTRE STUDY

Neuro-oncology (Charlottesville, Va.), 2018-06, Vol.20 (suppl_2), p.i173-i174

2018

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PD-1 blockade induces responses by inhibiting adaptive immune resistance

Nature (London), 2014-11, Vol.515 (7528), p.568-571

2014

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High versus Low Blood-Pressure Target in Patients with Septic Shock

The New England journal of medicine, 2014-04, Vol.370 (17), p.1583-1593

2014

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Image Classification Using Machine Learning Algorithms in Google Earth Engine Environment

Informatica economica, 2021-09, Vol.25 (3/2021), p.5-16

2021

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ADMISIBILITATEA CONTESTAȚIEI FORMULATE DE PROCURORUL CARE NU A RĂSPUNS ÎN TERMENUL DE 5 ZILE CU PRIVIRE LA MENȚINEREA TRIMITERII ÎN JUDECATĂ SAU A SOLICITAT EXPRES RESTITUIREA CAUZEI LA PARCHET

Dreptul (București), 2020-01 (5), p.159-168

2020

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Sustainable Maintenance of Conductors in Transmission/Distribution Networks Using Complex Magnetic Field Analysis

Sustainability, 2024-08, Vol.16 (15), p.6659

2024

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Deficiency of Vitamin D, a Major Risk Factor for SARS-CoV-2 Severity

Clinical laboratory (Heidelberg), 2022-01, Vol.68 (3)

2022

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A systematic review of data sources for artificial intelligence applications in pediatric brain tumors in Europe: implications for bias and generalizability

Machine Learning Analysis in Diffusion Kurtosis Imaging for Discriminating Pediatric Posterior Fossa Tumors: A Repeatability and Accuracy Pilot Study

Developing a Predictive Grading Model for Children with Gliomas Based on Diffusion Kurtosis Imaging Metrics: Accuracy and Clinical Correlations with Patient Survival

MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art

Direct Involvement of Cranial Nerve V at Diagnosis in Patients With Diffuse Intrinsic Pontine Glioma: A Potential Magnetic Resonance Predictor of Short-Term Survival

Congenital Craniofacial Plexiform Neurofibroma in Neurofibromatosis Type 1

Development of a contouring guide in three different head set-ups for hippocampal sparing radiotherapy: a practical approach

Frontal Osteoma‐Induced Headache Revealed by Conventional Radiography With a False Negative MRI: Röntgen Strikes Back

SURG-03. IMMERSIVE VIRTUAL REALITY APPLICATIONS IN NEUROSURGICAL ONCOLOGY

Cerebral amyloid angiopathy-related inflammation: a rare disease that needs to be diagnosed

Differentiating solitary brain metastases from high-grade gliomas with MR: comparing qualitative versus quantitative diagnostic strategies

3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients

IMG-14. DEVELOPING A PREDICTIVE GRADING MODEL FOR CHILDREN WITH GLIOMAS BASED ON DIFFUSION KURTOSIS IMAGING METRICS: ACCURACY AND CLINICAL CORRELATIONS WITH SURVIVAL

Half-dose versus full-dose macrocyclic gadolinium at 3-T magnetic resonance imaging in paediatric bone and soft-tissue disease

IMG-19. RADIOMICS AND SUPERVISED DEEP LEARNING TO PREDICT MOLECULAR SUBGROUPS IN MEDULLOBLASTOMA BASED ON WHOLE TUMOR VOLUME LABELING: A SINGLE CENTER MULTIPARAMETRIC MR ANALYSIS

IMG-16. WHOLE TUMOR DIFFUSION KURTOSIS IMAGING ANALYSIS FOR DISCRIMINATING PEDIATRIC POSTERIOR FOSSA TUMORS: ACCURACY AND REPEATABILITY

RONC-16. RISK OF PREMATURE RADIONECROSIS IN PAEDIATRIC PATIENTS WITH HIGH RISK MEDULLOBLASTOMA TREATED WITH PROTONS ON THE CRANIUM SPINAL AXIS

RONC-19. LATE NEUROPSYCHOLOGICAL OUTCOMES WITH PROTON RADIATION IN CHILDREN WITH BRAIN TUMOR

RADI-19. DIFFUSION KURTOSIS IMAGING CAN HELP DIFFERENTIATE LOW- AND HIGH-GRADE GLIOMAS IN PEDIATRIC PATIENTS WITH SPECIFIC LOCATION-RELATED PATTERNS: A PROSPECTIVE SINGLE CENTRE STUDY

PD-1 blockade induces responses by inhibiting adaptive immune resistance

High versus Low Blood-Pressure Target in Patients with Septic Shock

Image Classification Using Machine Learning Algorithms in Google Earth Engine Environment

ADMISIBILITATEA CONTESTAȚIEI FORMULATE DE PROCURORUL CARE NU A RĂSPUNS ÎN TERMENUL DE 5 ZILE CU PRIVIRE LA MENȚINEREA TRIMITERII ÎN JUDECATĂ SAU A SOLICITAT EXPRES RESTITUIREA CAUZEI LA PARCHET

Sustainable Maintenance of Conductors in Transmission/Distribution Networks Using Complex Magnetic Field Analysis

Deficiency of Vitamin D, a Major Risk Factor for SARS-CoV-2 Severity

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