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Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Radiology, 2019-03, Vol.290 (3), p.669

2019

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Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

Journal of digital imaging, 2017-10, Vol.30 (5), p.622-628

2017

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Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis

Gastroenterology (New York, N.Y. 1943), 2022-11, Vol.163 (5), p.1435-1446.e3

2022

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MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.2835-2844

2016

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S116 Association Between Body Composition Measured by Artificial Intelligence and the Long-Term Sequelae After Acute Pancreatitis

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S92-S93

2023

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S4 Intermuscular Adipose Tissue is Associated With the Severity of Acute Pancreatitis in Hospitalized Patients

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S3-S5

2023

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Acute Effect of Countermovement Jumping on Throwing Performance in Track and Field Athletes During Competition

Journal of strength and conditioning research, 2017-02, Vol.31 (2), p.359-364

2017

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Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning

Tomography (Ann Arbor), 2016-12, Vol.2 (4), p.334-340

2016

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Convolutional neural network for the detection of pancreatic cancer on CT scans

The Lancet. Digital health, 2020-09, Vol.2 (9), p.e453-e453

2020

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The basics of diffusion and perfusion imaging in brain tumors

Applied radiology (1976), 2014-07, Vol.43 (7), p.22-29

2014

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MIRMAID: A Content Management System for Medical Image Analysis Research

Radiographics, 2015-09, Vol.35 (5), p.1461

2015

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Machine Learning for Medical Imaging

Radiographics, 2017-03, Vol.37 (2), p.505

2017

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Is There a Role for B-cell Depletion as Therapy for Scleroderma? A Case Report and Review of the Literature

Seminars in arthritis and rheumatism, 2010-10, Vol.40 (2), p.127-136

2010

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Variability and accuracy of different software packages for dynamic susceptibility contrast magnetic resonance imaging for distinguishing glioblastoma progression from pseudoprogression

Journal of medical imaging (Bellingham, Wash.), 2015-04, Vol.2 (2), p.026001-026001

2015

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NIMG-26COMPARISON OF POST-GADOLINIUM 3D FAST SPIN ECHO IMAGES VERSUS REGISTERED AND SUBTRACTED MPRAGE IMAGES IN GLIOMA PATIENTS

Neuro-oncology (Charlottesville, Va.), 2015-11, Vol.17 (suppl 5), p.v159.2-v159

2015

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Deep Learning in Radiology: Does One Size Fit All?

Journal of the American College of Radiology, 2018-03, Vol.15 (3), p.521-526

2018

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Mo1413 ARTIFICIAL INTELLIGENCE-ENABLED AUTOMATED WHOLE PANCREAS FAT ESTIMATION ON MAGNETIC RESONANCE IMAGING

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-1048-S-1049

2024

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Abstract PO-084: Automated detection of pancreatic ductal adenocarcinoma (PDAC) on CT scans using artificial intelligence (AI): Impact of inclusion of automated pancreas segmentation on the accuracy of 3D-convolutional neural network (CNN)

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.PO-084-PO-084

2021

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Su1346: COMPUTED TOMOGRAPHY BASED RADIOMICS SIGNATURE: A POTENTIAL INDICATOR IN PRIMARY SCLEROSIS CHOLANGITIS USING THE BODY COMPOSITION MODEL

Gastroenterology (New York, N.Y. 1943), 2022-05, Vol.162 (7), p.S-1190

2022

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A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions

Gynecologic oncology, 2022-09, Vol.166 (3), p.596-605

2022

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Automated Segmentation of Kidney Cortex and Medulla in CT Images: A Multisite Evaluation Study

Journal of the American Society of Nephrology, 2022-02, Vol.33 (2), p.420-430

2022

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Fast super-resolution ultrasound microvessel imaging using spatiotemporal data with deep fully convolutional neural network

Physics in medicine & biology, 2021-03, Vol.66 (7), p.75005

2021

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Two‐stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra‐reader and inter‐reader reliability at full and reduced radiation dose on an external dataset

Medical physics (Lancaster), 2021-05, Vol.48 (5), p.2468-2481

2021

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Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists

Journal of computer assisted tomography, 2022-11, Vol.46 (6), p.841

2022

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Higher Skeletal Muscle Index Is Associated with Improved Overall Survival in Older Patients with Sarcopenia Undergoing Allogeneic Stem Cell Transplant

Blood, 2021-11, Vol.138 (Supplement 1), p.3960-3960

2021

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Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis

MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

S116 Association Between Body Composition Measured by Artificial Intelligence and the Long-Term Sequelae After Acute Pancreatitis

S4 Intermuscular Adipose Tissue is Associated With the Severity of Acute Pancreatitis in Hospitalized Patients

Acute Effect of Countermovement Jumping on Throwing Performance in Track and Field Athletes During Competition

Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning

Convolutional neural network for the detection of pancreatic cancer on CT scans

The basics of diffusion and perfusion imaging in brain tumors

MIRMAID: A Content Management System for Medical Image Analysis Research

Machine Learning for Medical Imaging

Is There a Role for B-cell Depletion as Therapy for Scleroderma? A Case Report and Review of the Literature

Variability and accuracy of different software packages for dynamic susceptibility contrast magnetic resonance imaging for distinguishing glioblastoma progression from pseudoprogression

NIMG-26COMPARISON OF POST-GADOLINIUM 3D FAST SPIN ECHO IMAGES VERSUS REGISTERED AND SUBTRACTED MPRAGE IMAGES IN GLIOMA PATIENTS

Deep Learning in Radiology: Does One Size Fit All?

Mo1413 ARTIFICIAL INTELLIGENCE-ENABLED AUTOMATED WHOLE PANCREAS FAT ESTIMATION ON MAGNETIC RESONANCE IMAGING

Abstract PO-084: Automated detection of pancreatic ductal adenocarcinoma (PDAC) on CT scans using artificial intelligence (AI): Impact of inclusion of automated pancreas segmentation on the accuracy of 3D-convolutional neural network (CNN)

Su1346: COMPUTED TOMOGRAPHY BASED RADIOMICS SIGNATURE: A POTENTIAL INDICATOR IN PRIMARY SCLEROSIS CHOLANGITIS USING THE BODY COMPOSITION MODEL

A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions

Automated Segmentation of Kidney Cortex and Medulla in CT Images: A Multisite Evaluation Study

Fast super-resolution ultrasound microvessel imaging using spatiotemporal data with deep fully convolutional neural network

Two‐stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra‐reader and inter‐reader reliability at full and reduced radiation dose on an external dataset

Volumetric Pancreas Segmentation on Computed Tomography: Accuracy and Efficiency of a Convolutional Neural Network Versus Manual Segmentation in 3D Slicer in the Context of Interreader Variability of Expert Radiologists

Higher Skeletal Muscle Index Is Associated with Improved Overall Survival in Older Patients with Sarcopenia Undergoing Allogeneic Stem Cell Transplant

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