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Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

American journal of neuroradiology : AJNR, 2018-02, Vol.39 (2), p.208-216

2018

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Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project

American journal of neuroradiology : AJNR, 2018-06, Vol.39 (6), p.1008-1016

2018

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Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

American journal of neuroradiology : AJNR, 2021-03, Vol.42 (3), p.429-434

2021

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Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19

American journal of neuroradiology : AJNR, 2021-05, Vol.42 (5), p.831-837

2021

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Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma

American journal of neuroradiology : AJNR, 2015-09, Vol.36 (9), p.1654-1661

2015

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Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography (Ann Arbor), 2020-06, Vol.6 (2), p.118-128

2020

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Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach

Computer methods and programs in biomedicine, 2015-10, Vol.122 (1), p.1-15

2015

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Analysis of underlying causes of inter-expert disagreement in retinopathy of prematurity diagnosis. Application of machine learning principles

Methods of information in medicine, 2015, Vol.54 (1), p.93-102

2015

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Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers

International journal of radiation oncology, biology, physics, 2016-10, Vol.96 (2), p.S191-S191

2016

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Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, p.353-357

2021

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Gross Tumor Volume (GTV) Target Delineation: Comparison of Expert and Non-expert Contouring with Quantitative PET Parameters

International journal of radiation oncology, biology, physics, 2011, Vol.81 (2), p.S158-S159

2011

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Variations in Point Dose Specification in 3-Dimensional Planning for Intracavitary Cervical Brachytherapy

International journal of radiation oncology, biology, physics, 2011, Vol.81 (2), p.S469-S470

2011

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A COMPARISON BETWEEN ATLAS BASED AUTO-SEGMENTATION AND MANUAL CONTOURING IN 4D-IMAGE BASED TREATMENT PLANNING

Radiotherapy and oncology, 2009-08, Vol.92, p.S162-S162

2009

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A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.1498-1501

2015

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Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.1502-1505

2015

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Artificial Intelligence and Glaucoma: Going Back to Basics

Clinical ophthalmology (Auckland, N.Z.), 2023-01, Vol.17, p.1525-1530

2023

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Prospective Evaluation of an Online Atlas-based Educational Intervention on Head and Neck Organ-at-Risk (OAR) and Lymph Node Level (LNL) Contouring: A Pilot Feasibility Study using Web-based Feedback and Analytic Software

International journal of radiation oncology, biology, physics, 2011, Vol.81 (2), p.S161-S161

2011

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A Prediction Model for Estimating the Benefit of Post-operative Radiotherapy for Oral Cavity Squamous Cell Carcinoma

International journal of radiation oncology, biology, physics, 2010, Vol.78 (3), p.S462-S463

2010

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Respiratory Liver Tumor Motion Reduction using an Abdominal Arc Compression Device

International journal of radiation oncology, biology, physics, 2008, Vol.72 (1), p.S269-S270

2008

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Four-dimensional CT (4D-CT) Image Guidance for Stereotactic Body Radiation Therapy (SBRT)

International journal of radiation oncology, biology, physics, 2008, Vol.72 (1), p.S440-S440

2008

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SP-0446: Radiomics: What about harmonisation and standardisation?

Radiotherapy and oncology, 2018-04, Vol.127, p.S232-S233

Kalpathy-Cramer, J.

2018

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Pre-operative Radiation is Associated with Improved Survival Compared to Post-operative Radiation for Esophageal Cancer: A SEER Database Analysis

International journal of radiation oncology, biology, physics, 2008, Vol.72 (1), p.S129-S129

2008

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A Nomogram for Predicting the Survival Benefit of Post-operative Radiotherapy for Patients with Non-small Cell Lung Cancer

International journal of radiation oncology, biology, physics, 2008, Vol.72 (1), p.S447-S447

2008

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Observer and feature analysis on diagnosis of retinopathy of prematurity

2012 IEEE International Workshop on Machine Learning for Signal Processing, 2012, p.1-6

2012

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Abstract No. 287 An interpretable machine-learning-based risk model of contrast-induced nephropathy in patients undergoing lower-extremity endovascular interventions

Journal of vascular and interventional radiology, 2022-06, Vol.33 (6), p.S132-S132

2022

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Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project

Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19

Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach

Analysis of underlying causes of inter-expert disagreement in retinopathy of prematurity diagnosis. Application of machine learning principles

Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity

Gross Tumor Volume (GTV) Target Delineation: Comparison of Expert and Non-expert Contouring with Quantitative PET Parameters

Variations in Point Dose Specification in 3-Dimensional Planning for Intracavitary Cervical Brachytherapy

A COMPARISON BETWEEN ATLAS BASED AUTO-SEGMENTATION AND MANUAL CONTOURING IN 4D-IMAGE BASED TREATMENT PLANNING

A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity

Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images

Artificial Intelligence and Glaucoma: Going Back to Basics

Prospective Evaluation of an Online Atlas-based Educational Intervention on Head and Neck Organ-at-Risk (OAR) and Lymph Node Level (LNL) Contouring: A Pilot Feasibility Study using Web-based Feedback and Analytic Software

A Prediction Model for Estimating the Benefit of Post-operative Radiotherapy for Oral Cavity Squamous Cell Carcinoma

Respiratory Liver Tumor Motion Reduction using an Abdominal Arc Compression Device

Four-dimensional CT (4D-CT) Image Guidance for Stereotactic Body Radiation Therapy (SBRT)

SP-0446: Radiomics: What about harmonisation and standardisation?

Pre-operative Radiation is Associated with Improved Survival Compared to Post-operative Radiation for Esophageal Cancer: A SEER Database Analysis

A Nomogram for Predicting the Survival Benefit of Post-operative Radiotherapy for Patients with Non-small Cell Lung Cancer

Observer and feature analysis on diagnosis of retinopathy of prematurity

Abstract No. 287 An interpretable machine-learning-based risk model of contrast-induced nephropathy in patients undergoing lower-extremity endovascular interventions

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