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Editorial for “Detecting Double Expression Status in Primary Central Nervous System Lymphoma Using Multiparametric MRI Based Machine Learning”

Journal of magnetic resonance imaging, 2024-01, Vol.59 (1), p.240-241

Hwang, Scott N.

2024

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Editorial for “Radiomic Features of the Edema Region May Contribute to Grading Meningiomas With Peritumoral Edema”

Journal of magnetic resonance imaging, 2023-07, Vol.58 (1), p.311-312

Hwang, Scott N.

2023

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Editorial for “Practical Approaches to Bone Marrow Fat Fraction Quantification Across Magnetic Resonance Imaging Platforms”

Journal of magnetic resonance imaging, 2020-07, Vol.52 (1), p.307-308

Hwang, Scott N.

2020

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User Acceptance of a Virtual Librarian Chatbot: an Implementation Method Using IBM Watson Natural Language Processing in Virtual Immersive Environment

TechTrends, 2023-11, Vol.67 (6), p.891-902

2023

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11C-Methionine PET for Identification of Pediatric High-Grade Glioma Recurrence

The Journal of nuclear medicine (1978), 2022-05, Vol.63 (5), p.664-671

2022

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11C-Methionine positron emission tomography delineates non-contrast enhancing tumor regions at high risk for recurrence in pediatric high-grade glioma

Journal of neuro-oncology, 2017-03, Vol.132 (1), p.163-170

2017

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Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma

Oncoscience, 2017-06, Vol.4 (5-6), p.57-66

2017

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[ 11 C]-Methionine PET for Identification of Pediatric High-Grade Glioma Recurrence

Journal of Nuclear Medicine, 2021-08, p.jnumed.120.261891

2021

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IMG-20. RADIOMIC FEATURES IMPROVE PROGNOSTICATION OVER CONVENTIONAL MR DERIVED QUALITATIVE DESCRIPTORS IN PEDIATRIC SUPRATENTORIAL HIGH GRADE GLIOMA: COMPARISON OF MACHINE LEARNING TECHNIQUES

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

2020

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Progression of Central Nervous System Vasculopathy in Young Adults with Sickle Cell Anemia

Blood, 2019-11, Vol.134 (Supplement_1), p.2290-2290

2019

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Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquired in vivo

International journal of imaging systems and technology, 1999, Vol.10 (2), p.186-198

1999

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HGG-35. COMBINATIONS OF QUANTITATIVE AND QUALITATIVE MRI FEATURES IDENTIFY PROGNOSTIC AND MOLECULAR SUBGROUPS OF SUPRATENTORIAL PEDIATRIC HIGH-GRADE GLIOMA

Neuro-oncology (Charlottesville, Va.), 2018-06, Vol.20 (suppl_2), p.i96-i96

2018

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sup 11^C-Methionine positron emission tomography delineates non-contrast enhancing tumor regions at high risk for recurrence in pediatric high-grade glioma

Journal of neuro-oncology, 2017-03, Vol.132 (1), p.163

2017

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super(11)C-Methionine positron emission tomography delineates non-contrast enhancing tumor regions at high risk for recurrence in pediatric high-grade glioma

Journal of neuro-oncology, 2017-03, Vol.132 (1), p.163-170

2017

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Post Treatment DSC-MRI is Predictive of Early Treatment Failure in Children with Supratentorial High-Grade Glioma Treated with Erlotinib

Clinical neuroradiology (Munich), 2017-04, Vol.28 (3), p.393-400

2017

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Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma

Oncoscience, 2017-05, Vol.4 (5-6), p.57-66

2017

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Using proton MRSI to predict response to vorinostat treatment in recurrent GBM

Journal of clinical oncology, 2012-05, Vol.30 (15_suppl), p.3055-3055

2012

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Abstract LB-159: Using proton MRSI to predict response of Vorinostat treatment in recurrent GBM

Cancer research (Chicago, Ill.), 2012-04, Vol.72 (8_Supplement), p.LB-159-LB-159

2012

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Early prediction of response to Vorinostat in an orthotopic glioma rat model

NMR in biomedicine, 2012-02, Vol.25 (9), p.1104-1111

2012

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Leukoencephalopathy and Long-term Neurobehavioral, Neurocognitive and Brain Imaging Outcomes in Survivors of Childhood Acute Lymphoblastic Leukemia Treated with Chemotherapy: A Longitudinal Analysis

The Lancet. Haematology, 2016-09, Vol.3 (10), p.e456-e466

2016

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Christian Colleges' Special Need for Diversity

The Chronicle of Higher Education, 2013-06, Vol.59 (40)

Hwang, Scott

2013

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Christian Colleges' Special Need for Diversity

The Chronicle of higher education, 2013-06, Vol.59 (39)

Hwang, Scott

2013

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Addition of MR Imaging Features and Genetic Biomarkers Strengthen Glioblastoma Survival Prediction in TCGA Patients

Journal of neuroradiology, 2014-07, Vol.42 (4), p.212-221

2014

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Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquiredin vivo

International journal of imaging systems and technology, 1999, Vol.10 (2), p.186-198

1999

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Quantitative analysis of magnetic resonance images for the prediction of trabecular bone competence

Hwang, Scott Nyshin

1998

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Editorial for “Detecting Double Expression Status in Primary Central Nervous System Lymphoma Using Multiparametric MRI Based Machine Learning”

Editorial for “Radiomic Features of the Edema Region May Contribute to Grading Meningiomas With Peritumoral Edema”

Editorial for “Practical Approaches to Bone Marrow Fat Fraction Quantification Across Magnetic Resonance Imaging Platforms”

User Acceptance of a Virtual Librarian Chatbot: an Implementation Method Using IBM Watson Natural Language Processing in Virtual Immersive Environment

11C-Methionine PET for Identification of Pediatric High-Grade Glioma Recurrence

11C-Methionine positron emission tomography delineates non-contrast enhancing tumor regions at high risk for recurrence in pediatric high-grade glioma

Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma

[ 11 C]-Methionine PET for Identification of Pediatric High-Grade Glioma Recurrence

IMG-20. RADIOMIC FEATURES IMPROVE PROGNOSTICATION OVER CONVENTIONAL MR DERIVED QUALITATIVE DESCRIPTORS IN PEDIATRIC SUPRATENTORIAL HIGH GRADE GLIOMA: COMPARISON OF MACHINE LEARNING TECHNIQUES

Progression of Central Nervous System Vasculopathy in Young Adults with Sickle Cell Anemia

Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquired in vivo

HGG-35. COMBINATIONS OF QUANTITATIVE AND QUALITATIVE MRI FEATURES IDENTIFY PROGNOSTIC AND MOLECULAR SUBGROUPS OF SUPRATENTORIAL PEDIATRIC HIGH-GRADE GLIOMA

sup 11^C-Methionine positron emission tomography delineates non-contrast enhancing tumor regions at high risk for recurrence in pediatric high-grade glioma

super(11)C-Methionine positron emission tomography delineates non-contrast enhancing tumor regions at high risk for recurrence in pediatric high-grade glioma

Post Treatment DSC-MRI is Predictive of Early Treatment Failure in Children with Supratentorial High-Grade Glioma Treated with Erlotinib

Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma

Using proton MRSI to predict response to vorinostat treatment in recurrent GBM

Abstract LB-159: Using proton MRSI to predict response of Vorinostat treatment in recurrent GBM

Early prediction of response to Vorinostat in an orthotopic glioma rat model

Leukoencephalopathy and Long-term Neurobehavioral, Neurocognitive and Brain Imaging Outcomes in Survivors of Childhood Acute Lymphoblastic Leukemia Treated with Chemotherapy: A Longitudinal Analysis

Christian Colleges' Special Need for Diversity

Christian Colleges' Special Need for Diversity

Addition of MR Imaging Features and Genetic Biomarkers Strengthen Glioblastoma Survival Prediction in TCGA Patients

Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquiredin vivo

Quantitative analysis of magnetic resonance images for the prediction of trabecular bone competence

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