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Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT

Radiology, 2020-08, Vol.296 (2), p.E46-E54

2020

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MRI features predict survival and molecular markers in diffuse lower-grade gliomas

Neuro-oncology (Charlottesville, Va.), 2017-06, Vol.19 (6), p.862-870

2017

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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

Radiology, 2020-09, Vol.296 (3), p.E156-E165

2020

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Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging

Clinical cancer research, 2018-03, Vol.24 (5), p.1073-1081

2018

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Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI

Scientific reports, 2022-05, Vol.12 (1), p.7924-7924, Article 7924

2022

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Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data

European radiology, 2022-01, Vol.32 (1), p.205-212

2022

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Racial disparity in mycosis fungoides: An analysis of 4495 cases from the US National Cancer Database

Journal of the American Academy of Dermatology, 2017-09, Vol.77 (3), p.497-502.e2

2017

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Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography

Abdominal radiology (New York), 2021-02, Vol.46 (2), p.534-543

2021

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Percutaneous Fluoroscopic-Guided Creation of Neoanastomosis for the Treatment of Biliary Occlusions

Cardiovascular and interventional radiology, 2020-11, Vol.43 (11), p.1671-1678

2020

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Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

The Lancet. Digital health, 2021-05, Vol.3 (5), p.e286-e294

2021

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Editorial: Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors

Frontiers in oncology, 2023-01, Vol.13, p.1081301-1081301

2023

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Deep Learning for Classification of Bone Lesions on Routine MRI

EBioMedicine, 2021-06, Vol.68, p.103402-103402, Article 103402

2021

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Clinical and imaging findings of discharged patients with SARS-CoV-2 positive anal swab samples: a descriptive study

BMC infectious diseases, 2020-09, Vol.20 (1), p.644-644, Article 644

2020

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Assessment of care pattern and outcome in hemangioblastoma

Scientific reports, 2018-07, Vol.8 (1), p.11144-8, Article 11144

2018

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Chronic liver disease not a significant comorbid condition for COVID-19

Scientific reports, 2021-06, Vol.11 (1), p.11734-11734, Article 11734

2021

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Safety and diagnostic value of brain biopsy in HIV patients: a case series and meta-analysis of 1209 patients

Journal of Neurology, Neurosurgery and Psychiatry, 2016-07, Vol.87 (7), p.722-733

2016

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Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Korean Journal of Radiology, 2021, 22(7), , pp.1213-1224

2021

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Association of clinical and imaging characteristics with pulmonary function testing in patients with Long-COVID

Heliyon, 2024-06, Vol.10 (11), p.e31751, Article e31751

2024

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The effect of cirrhosis on radiogenomic biomarker's ability to predict microvascular invasion and outcome in hepatocellular carcinoma

Hepatology (Baltimore, Md.), 2016-08, Vol.64 (2), p.691-692

2016

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Discriminative error prediction network for semi-supervised colon gland segmentation

Medical image analysis, 2022-07, Vol.79, p.102458-102458, Article 102458

2022

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An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data

NPJ digital medicine, 2022-01, Vol.5 (1), p.5-5, Article 5

2022

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Machine intelligence in non-invasive endocrine cancer diagnostics

Nature reviews. Endocrinology, 2022-02, Vol.18 (2), p.81

2022

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Sublobar resection compared with stereotactic body radiation therapy and ablation for early stage non–small cell lung cancer: A National Cancer Database study

The Journal of thoracic and cardiovascular surgery, 2020-11, Vol.160 (5), p.1350-1357.e11

2020

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AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation

IEEE journal of biomedical and health informatics, 2023-08, Vol.27 (8), p.4052-4061

2023

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Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging

Clinical cancer research, 2020-04, Vol.26 (8), p.1944-1952

2020

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Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT

MRI features predict survival and molecular markers in diffuse lower-grade gliomas

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging

Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI

Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data

Racial disparity in mycosis fungoides: An analysis of 4495 cases from the US National Cancer Database

Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography

Percutaneous Fluoroscopic-Guided Creation of Neoanastomosis for the Treatment of Biliary Occlusions

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

Editorial: Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors

Deep Learning for Classification of Bone Lesions on Routine MRI

Clinical and imaging findings of discharged patients with SARS-CoV-2 positive anal swab samples: a descriptive study

Assessment of care pattern and outcome in hemangioblastoma

Chronic liver disease not a significant comorbid condition for COVID-19

Safety and diagnostic value of brain biopsy in HIV patients: a case series and meta-analysis of 1209 patients

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Association of clinical and imaging characteristics with pulmonary function testing in patients with Long-COVID

The effect of cirrhosis on radiogenomic biomarker's ability to predict microvascular invasion and outcome in hepatocellular carcinoma

Discriminative error prediction network for semi-supervised colon gland segmentation

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data

Machine intelligence in non-invasive endocrine cancer diagnostics

Sublobar resection compared with stereotactic body radiation therapy and ablation for early stage non–small cell lung cancer: A National Cancer Database study

AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging

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