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Author Details

John Freymann
Frederick National Laboratory for Cancer Research
2007
32
22
PMIDPaper TitleJournal TitlePublished Year
38057616Deep learning-based segmentation of multisite disease in ovarian cancer.Eur Radiol Exp2023
36998700QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.J Mach Learn Biomed Imaging2022
33681459Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies.Tomography2021
32253542Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis.Eur Radiol2020
32772385DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules.Med Phys2020
30838639From Discovery to Practice and Survivorship: Building a National Real-World Data Learning Healthcare Framework for Military and Veteran Cancer Patients.Clin Pharmacol Ther2019
31834820Call for Data Standardization: Lessons Learned and Recommendations in an Imaging Study.JCO Clin Cancer Inform2019
30482902Author Correction: Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy.Sci Data2018
30179230Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy.Sci Data2018
30175071Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges.Front Oncol2018
28872634Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.Sci Data2017
28781988Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma.Oncoscience2017
28641043Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group.Radiology2017
28925987The public cancer radiology imaging collections of The Cancer Imaging Archive.Sci Data2017
27302507How Can We Effect Culture Change Toward Data-Driven Medicine?Int J Radiat Oncol Biol Phys2016
26619259Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.Cancer2016
26473782A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma.J Neurosurg2016
24997477Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients.J Neuroradiol2015
26203066Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival.Neuro Oncol2015
25969931De-identification of Medical Images with Retention of Scientific Research Value.Radiographics2015
25753955Radiogenomics of clear cell renal cell carcinoma: preliminary findings of The Cancer Genome Atlas-Renal Cell Carcinoma (TCGA-RCC) Imaging Research Group.Abdom Imaging2015
24646147Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor.Radiology2014
24772218Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive.Transl Oncol2014
24889866Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project.BMC Med Genomics2014
23238158Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers.Radiology2013
24109929TCIA: An information resource to enable open science.Annu Int Conf IEEE Eng Med Biol Soc2013
23884657The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.J Digit Imaging2013
23392431MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.Radiology2013
22038512Image data sharing for biomedical research--meeting HIPAA requirements for De-identification.J Digit Imaging2012
22770688Informatics methods to enable sharing of quantitative imaging research data.Magn Reson Imaging2012
21452728The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.Med Phys2011
18035276The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.Acad Radiol2007
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Collaborators

Co-authored papers 8
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Thomas Jefferson University
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The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Co-authored papers 3
University of Michigan-Ann Arbor
Co-authored papers 3
University of Pennsylvania
Co-authored papers 2
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Icahn School of Medicine at Mount Sinai
Co-authored papers 2
University of California los angeles
Co-authored papers 2
Richards Medical Research Laboratories (S.B.)
Co-authored papers 2
CRUK Cambridge Institute, University of Cambridge
Co-authored papers 2
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MD Anderson Cancer Center
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Chan Soon-Shiong Institute of Molecular Medicine at Windber
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Brigham and Women's Hospital, Harvard Medical School
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Walter Reed National Military Medical Center
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University of North Carolina
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