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Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas

Scientific reports, 2023-12, Vol.13 (1), p.22942-22942, Article 22942

2023

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A Bibliometric Evaluation of the Top 100 Cited Dimethyl Fumarate Articles

Molecules (Basel, Switzerland), 2021-02, Vol.26 (4), p.1085

2021

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Mitochondrial biology in Alzheimer's disease pathogenesis

Journal of neurochemistry, 2010-08, Vol.114 (4), p.933-945

2010

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Gyrification patterns in monozygotic twin pairs varying in discordance for autism

Autism research, 2009-10, Vol.2 (5), p.267-278

2009

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Understanding Bias in Artificial Intelligence: A Practice Perspective

American journal of neuroradiology : AJNR, 2024-04, Vol.45 (4), p.371-373

2024

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Application of artificial intelligence centric workflows for evaluation of neuroradiology emergencies

Clinical imaging, 2023-09, Vol.101, p.133-136

2023

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Machine learning approaches for automated segmentation of gliomas (P3-9.004)

Neurology, 2022-05, Vol.98 (18_supplement)

2022

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Semi-Automated Longitudinal Lesion Tracking In PACS Reveals High Proportion of Metastatic Lesions Showing Mixed Response To Radiosurgery (P14-9.001)

Neurology, 2022-05, Vol.98 (18_supplement)

2022

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Bias assessment of Artificial Intelligence papers in Glioma segmentation using TRIPOD (P14-9.005)

Neurology, 2022-05, Vol.98 (18_supplement)

2022

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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Radiology. Artificial intelligence, 2020-05, Vol.2 (3), p.e190211-e190211

2020

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Acute Bacterial Skin and Skin-Structure Infections, efficacy of Dalbavancin: a systematic review and meta-analysis

Expert review of anti-infective therapy, 2022-11, Vol.20 (11), p.1477-1489

2022

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Clinical Decision Support: Impact on Appropriate Imaging Utilization

Academic radiology, 2023-07, Vol.30 (7), p.1433-1440

2023

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Approaches to Greening Radiology

Academic radiology, 2023-03, Vol.30 (3), p.528-535

2023

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Systematic review and meta-analysis on the safety of dalbavancin

Expert opinion on drug safety, 2021-09, Vol.20 (9), p.1095-1107

2021

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A bibliometric evaluation of the top 100 cited natalizumab articles

Journal of neuroimmunology, 2020-12, Vol.349, p.577379-577379, Article 577379

2020

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Integration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002)

Neurology, 2022-05, Vol.98 (18_supplement)

2022

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A Case of Spinal Infectious Osteomyelitis Versus Gout: Advanced Imaging with Dual Energy CT

The Yale journal of biology & medicine, 2021-12, Vol.94 (4), p.599-602

2021

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Cybersecurity in radiology: Cautionary Tales, Proactive Prevention, and What to do When You Get Hacked

Current problems in diagnostic radiology, 2024-07

2024

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Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction

American journal of neuroradiology : AJNR, 2023-10, Vol.44 (10), p.1126-1134

2023

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Estimating patient dose from x-ray tube output metrics: automated measurement of patient size from CT images enables large-scale size-specific dose estimates

Radiology, 2014-02, Vol.270 (2), p.472-480

2014

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Sinonasal Glomangiopericytoma: Review of Imaging Appearance and Clinical Management Update for a Rare Sinonasal Neoplasm

The Yale journal of biology & medicine, 2021-12, Vol.94 (4), p.593-597

2021

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Global trends of dalbavancin: A bibliometric analysis

Journal of clinical pharmacy and therapeutics, 2022-09, Vol.47 (9), p.1299-1311

2022

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NIMG-71. IDENTIFYING CLINICALLY APPLICABLE MACHINE LEARNING ALGORITHMS FOR GLIOMA SEGMENTATION USING A SYSTEMATIC LITERATURE REVIEW

Neuro-oncology (Charlottesville, Va.), 2021-11, Vol.23 (Supplement_6), p.vi145-vi145

2021

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NIMG-46. SYSTEMATIC LITERATURE REVIEW OF ARTIFICIAL INTELLIGENCE ALGORITHMS USING PRE-THERAPY MR IMAGING FOR GLIOMA MOLECULAR SUBTYPE CLASSIFICATION

Neuro-oncology (Charlottesville, Va.), 2021-11, Vol.23 (Supplement_6), p.vi139-vi139

2021

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NIMG-38. MEASURING ADHERENCE TO TRIPOD OF ARTIFICIAL INTELLIGENCE PAPERS IN THE GLIOMA SEGMENTATION

Neuro-oncology (Charlottesville, Va.), 2021-11, Vol.23 (Supplement_6), p.vi137-vi137

2021

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Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas

A Bibliometric Evaluation of the Top 100 Cited Dimethyl Fumarate Articles

Mitochondrial biology in Alzheimer's disease pathogenesis

Gyrification patterns in monozygotic twin pairs varying in discordance for autism

Understanding Bias in Artificial Intelligence: A Practice Perspective

Application of artificial intelligence centric workflows for evaluation of neuroradiology emergencies

Machine learning approaches for automated segmentation of gliomas (P3-9.004)

Semi-Automated Longitudinal Lesion Tracking In PACS Reveals High Proportion of Metastatic Lesions Showing Mixed Response To Radiosurgery (P14-9.001)

Bias assessment of Artificial Intelligence papers in Glioma segmentation using TRIPOD (P14-9.005)

Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Acute Bacterial Skin and Skin-Structure Infections, efficacy of Dalbavancin: a systematic review and meta-analysis

Clinical Decision Support: Impact on Appropriate Imaging Utilization

Approaches to Greening Radiology

Systematic review and meta-analysis on the safety of dalbavancin

A bibliometric evaluation of the top 100 cited natalizumab articles

Integration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002)

A Case of Spinal Infectious Osteomyelitis Versus Gout: Advanced Imaging with Dual Energy CT

Cybersecurity in radiology: Cautionary Tales, Proactive Prevention, and What to do When You Get Hacked

Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction

Estimating patient dose from x-ray tube output metrics: automated measurement of patient size from CT images enables large-scale size-specific dose estimates

Sinonasal Glomangiopericytoma: Review of Imaging Appearance and Clinical Management Update for a Rare Sinonasal Neoplasm

Global trends of dalbavancin: A bibliometric analysis

NIMG-71. IDENTIFYING CLINICALLY APPLICABLE MACHINE LEARNING ALGORITHMS FOR GLIOMA SEGMENTATION USING A SYSTEMATIC LITERATURE REVIEW

NIMG-46. SYSTEMATIC LITERATURE REVIEW OF ARTIFICIAL INTELLIGENCE ALGORITHMS USING PRE-THERAPY MR IMAGING FOR GLIOMA MOLECULAR SUBTYPE CLASSIFICATION

NIMG-38. MEASURING ADHERENCE TO TRIPOD OF ARTIFICIAL INTELLIGENCE PAPERS IN THE GLIOMA SEGMENTATION

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