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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

Medical physics (Lancaster), 2016-04, Vol.43 (4), p.1882-1896

2016

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Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

Scientific reports, 2017-08, Vol.7 (1), p.8738-12, Article 8738

2017

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Contrast material-induced nephrotoxicity and intravenous low-osmolality iodinated contrast material: risk stratification by using estimated glomerular filtration rate

Radiology, 2013-09, Vol.268 (3), p.719-728

2013

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Contrast material-induced nephrotoxicity and intravenous low-osmolality iodinated contrast material

Radiology, 2013-04, Vol.267 (1), p.94-105

2013

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U‐Net based deep learning bladder segmentation in CT urography

Medical physics (Lancaster), 2019-04, Vol.46 (4), p.1752-1765

2019

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Rates of Breakthrough Reactions in Inpatients at High Risk Receiving Premedication Before Contrast-Enhanced CT

American journal of roentgenology (1976), 2015-07, Vol.205 (1), p.77-84

2015

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Can established CT attenuation and washout criteria for adrenal adenoma accurately exclude pheochromocytoma?

American journal of roentgenology (1976), 2013-07, Vol.201 (1), p.122-127

2013

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Differentiation of papillary renal cell carcinoma subtypes on CT and MRI

American journal of roentgenology (1976), 2013-08, Vol.201 (2), p.347-355

2013

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The Evidence for and Against Corticosteroid Prophylaxis in At-Risk Patients

The Radiologic clinics of North America, 2017-03, Vol.55 (2), p.413-421

2017

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Indirect Cost and Harm Attributable to Oral 13-Hour Inpatient Corticosteroid Prophylaxis before Contrast-enhanced CT

Radiology, 2016-05, Vol.279 (2), p.492-501

2016

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Frequency, outcome, and appropriateness of treatment of nonionic iodinated contrast media reactions

American journal of roentgenology (1976), 2008-08, Vol.191 (2), p.409-415

2008

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Contrast medium-induced nephrotoxicity risk assessment in adult inpatients: a comparison of serum creatinine level- and estimated glomerular filtration rate-based screening methods

Radiology, 2013-10, Vol.269 (1), p.92-100

2013

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CT urography: definition, indications and techniques. A guideline for clinical practice

European radiology, 2008-01, Vol.18 (1), p.4-17

2008

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Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors

Cancers, 2023-09, Vol.15 (17), p.4372

2023

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Frequency, management, and outcome of extravasation of nonionic iodinated contrast medium in 69,657 intravenous injections

Radiology, 2007-04, Vol.243 (1), p.80-87

2007

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Video Interviewing: A Review and Recommendations for Implementation in the Era of COVID-19 and Beyond

Academic radiology, 2020-09, Vol.27 (9), p.1316-1322

2020

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Nephrogenic systemic fibrosis: a report of 29 cases

American journal of roentgenology (1976), 2008-03, Vol.190 (3), p.736-741

2008

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In vivo predictors of renal cyst pseudoenhancement at 120 kVp

American journal of roentgenology (1976), 2014-02, Vol.202 (2), p.336-342

2014

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Contrast media controversies in 2015: imaging patients with renal impairment or risk of contrast reaction

American journal of roentgenology (1976), 2015-06, Vol.204 (6), p.1174-1181

2015

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Diagnostic Accuracy of CT for Prediction of Bladder Cancer Treatment Response with and without Computerized Decision Support

Academic radiology, 2019-09, Vol.26 (9), p.1137-1145

2019

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Cocaine nephropathy: A rare cause of abnormal nephrograms

Radiology case reports, 2021-03, Vol.16 (3), p.728-730

2021

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The challenges in assessing contrast-induced nephropathy: where are we now?

American journal of roentgenology (1976), 2014-04, Vol.202 (4), p.784

2014

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Prevention of Contrast-Induced Nephropathy: An Overview

The Radiologic clinics of North America, 2009-09, Vol.47 (5), p.801-811

2009

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Auto-Initialized Cascaded Level Set (AI-CALS) Segmentation of Bladder Lesions on Multidetector Row CT Urography

Academic radiology, 2013-02, Vol.20 (2), p.148-155

2013

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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

Contrast material-induced nephrotoxicity and intravenous low-osmolality iodinated contrast material: risk stratification by using estimated glomerular filtration rate

Contrast material-induced nephrotoxicity and intravenous low-osmolality iodinated contrast material

U‐Net based deep learning bladder segmentation in CT urography

Rates of Breakthrough Reactions in Inpatients at High Risk Receiving Premedication Before Contrast-Enhanced CT

Can established CT attenuation and washout criteria for adrenal adenoma accurately exclude pheochromocytoma?

Differentiation of papillary renal cell carcinoma subtypes on CT and MRI

The Evidence for and Against Corticosteroid Prophylaxis in At-Risk Patients

Indirect Cost and Harm Attributable to Oral 13-Hour Inpatient Corticosteroid Prophylaxis before Contrast-enhanced CT

Frequency, outcome, and appropriateness of treatment of nonionic iodinated contrast media reactions

Contrast medium-induced nephrotoxicity risk assessment in adult inpatients: a comparison of serum creatinine level- and estimated glomerular filtration rate-based screening methods

CT urography: definition, indications and techniques. A guideline for clinical practice

Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors

Frequency, management, and outcome of extravasation of nonionic iodinated contrast medium in 69,657 intravenous injections

Video Interviewing: A Review and Recommendations for Implementation in the Era of COVID-19 and Beyond

Nephrogenic systemic fibrosis: a report of 29 cases

In vivo predictors of renal cyst pseudoenhancement at 120 kVp

Contrast media controversies in 2015: imaging patients with renal impairment or risk of contrast reaction

Diagnostic Accuracy of CT for Prediction of Bladder Cancer Treatment Response with and without Computerized Decision Support

Cocaine nephropathy: A rare cause of abnormal nephrograms

The challenges in assessing contrast-induced nephropathy: where are we now?

Prevention of Contrast-Induced Nephropathy: An Overview

Auto-Initialized Cascaded Level Set (AI-CALS) Segmentation of Bladder Lesions on Multidetector Row CT Urography

Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study

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