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J. Freymann · SciRah

Researcher profile · Semantic Scholar

J. Freymann

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J. Freymann — researcher profile on SciRah

h-index: 31
Works: 65
Citations: 17K

Most-cited papers

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
K. W. Clark, B. Vendt, Kirk E. Smith, J. Freymann +8 more
2013Journal of digital imaging4,603 citations Open access
Semantic Scholar
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
S. Bakas, H. Akbari, Aristeidis Sotiras, M. Bilello +5 more
2017Scientific Data3,089 citations Open access
Semantic Scholar
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Samuel G. Armato, Geoffrey Mclennan, L. Bidaut, Michael F. McNitt-Gray +52 more
2011Medical Physics (Lancaster)3,062 citations Open access
Semantic Scholar
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
S. Bakas, M. Reyes, A. Jakab, S. Bauer +419 more
2018arXiv.org2,123 citations
Semantic Scholar
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
U. Baid, S. Ghodasara, S. Mohan, M. Bilello +99 more
2021arXiv.org1,221 citations
Semantic Scholar
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.
D. Gutman, Lee A. D. Cooper, Scott N. Hwang, C. Holder +23 more
2013Radiology441 citations Open access
Semantic Scholar
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation
M. McNitt-Gray, S. Armato, C. Meyer, A. Reeves +18 more
2007SPIE Medical Imaging236 citations Open access
Semantic Scholar
Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor.
Rajan Jain, L. Poisson, D. Gutman, L. Scarpace +10 more
2014Radiology229 citations Open access
Semantic Scholar
Author Correction: Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
A. Grossberg, A. Mohamed, H. Elhalawani, William C. Bennett +15 more
2018Scientific Data163 citations Open access
Semantic Scholar
Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers.
R. Jain, L. Poisson, J. Narang, D. Gutman +10 more
2013Radiology142 citations Open access
Semantic Scholar
Addition of MR Imaging Features and Genetic Biomarkers Strengthen Glioblastoma Survival Prediction in TCGA Patients
M. Nicolasjilwan, Ying Hu, Chun-Hua Yan, D. Meerzaman +18 more
2014Journal of neuroradiology. Journal de neuroradiologie130 citations Open access
Semantic Scholar
The public cancer radiology imaging collections of The Cancer Imaging Archive
F. Prior, Kirk E. Smith, Ashish A. Sharma, J. Kirby +5 more
2017Scientific Data125 citations Open access
Semantic Scholar
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, U. Baid, M. Zenk, Brandon Edwards +28 more
2021arXiv.org108 citations
Semantic Scholar
Radiogenomics of clear cell renal cell carcinoma: preliminary findings of The Cancer Genome Atlas–Renal Cell Carcinoma (TCGA–RCC) Imaging Research Group
A. Shinagare, Raghunandan Vikram, C. Jaffe, O. Akin +12 more
2015Abdominal Imaging104 citations Open access
Semantic Scholar
Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival.
Pattana Wangaryattawanich, M. Hatami, Ji-Xin Wang, G. Thomas +14 more
2015Neuro-Oncology104 citations Open access
Semantic Scholar
TCIA: An Information Resource to Enable Open Science
Fred W. Prior, Ken Clark, Paul Commean, J. Freymann +7 more
2013Annual International Conference of the IEEE Engineering in Medicine and Biology Society103 citations Open access
Semantic Scholar
Image Data Sharing for Biomedical Research—Meeting HIPAA Requirements for De-identification
J. Freymann, Justin S. Kirby, John Perry, D. Clunie +1 more
2012Journal of digital imaging92 citations Open access
Semantic Scholar
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, U. Baid, Chiharu Sako +88 more
2021The journal of machine learning for biomedical imaging87 citations Open access
Semantic Scholar
Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive.
Jayashree Kalpathy-Cramer, J. Freymann, J. Kirby, Paul Kinahan +1 more
2014Translational Oncology83 citations Open access
Semantic Scholar
De-identification of Medical Images with Retention of Scientific Research Value.
S. Moore, D. Maffitt, Kirk E. Smith, J. Kirby +5 more
2015Radiographics79 citations Open access
Semantic Scholar
Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges
H. Elhalawani, A. Mohamed, A. White, James Zafereo +19 more
2017Scientific Data73 citations Open access
Semantic Scholar
Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project
R. Colen, M. Vangel, Ji-Xin Wang, D. Gutman +14 more
2014BMC Medical Genomics70 citations Open access
Semantic Scholar
Using Computer-extracted Image Phenotypes from Tumors on Breast MRI to Predict Breast Cancer Pathologic Stage
Elizabeth S. Burnside, K. Drukker, Hui Li, E. Bonaccio +16 more
2015Cancer66 citations Open access
Semantic Scholar
Descriptor : Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
A. Grossberg, A. Mohamed, H. Elhalawani, William C. Bennett +15 more
201860 citations
Semantic Scholar
Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group.
H. Vargas, Erich P Huang, Y. Lakhman, J. Ippolito +9 more
2017Radiology59 citations Open access
Semantic Scholar
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
H. Li, G. Conte, S. Anwar, F. Kofler +60 more
2023arXiv.org50 citations Open access
Semantic Scholar
Proteogenomic insights suggest druggable pathways in endometrial carcinoma
Yong-Chao Dou, L. Katsnelson, M. Gritsenko, Ying-Wei Hu +159 more
2023Cancer Cell50 citations Open access
Semantic Scholar
A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma
A. Rao, G. Rao, D. Gutman, A. Flanders +9 more
2015Journal of Neurosurgery45 citations Open access
Semantic Scholar
Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges
H. Elhalawani, Timothy A. Lin, S. Volpe, A. Mohamed +44 more
2018Frontiers in Oncology40 citations Open access
Semantic Scholar
Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis
L. Beer, Hilal Şahin, N. Bateman, Ivana Blažić +14 more
2020European Radiology36 citations Open access
Semantic Scholar
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
D. LaBella, U. Baid, O. Khanna, Shan McBurney-Lin +118 more
2024Machine Learning for Biomedical Imaging34 citations Open access
Semantic Scholar
Deep learning-based segmentation of multisite disease in ovarian cancer
T. Buddenkotte, L. Rundo, R. Woitek, Lorena Escudero Sánchez +23 more
2023European Radiology Experimental30 citations Open access
Semantic Scholar
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
M. Zenk, U. Baid, Sarthak Pati, Akis Linardos +343 more
2025Nature Communications29 citations Open access
Semantic Scholar
From Discovery to Practice and Survivorship: Building a National Real‐World Data Learning Healthcare Framework for Military and Veteran Cancer Patients
Jerry S. H. Lee, K. Darcy, Hai Hu, Y. Casablanca +15 more
2019Clinical pharmacology and therapy27 citations Open access
Semantic Scholar
Call for Data Standardization: Lessons Learned and Recommendations in an Imaging Study.
A. Basu, Denise B. Warzel, Aras Eftekhari, J. Kirby +4 more
2019JCO Clinical Cancer Informatics25 citations Open access
Semantic Scholar
DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
A. Fedorov, Matthew C. Hancock, D. Clunie, M. Brochhausen +7 more
2020Medical Physics (Lancaster)21 citations Open access
Semantic Scholar
Informatics Methods to Enable Sharing of Quantitative Imaging Research Data
M. Levy, J. Freymann, J. Kirby, Andrey Fedorov +16 more
2012Magnetic Resonance Imaging21 citations Open access
Semantic Scholar
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
F. Kofler, Felix Meissen, Felix Steinbauer, R. Graf +64 more
2023arXiv.org18 citations Open access
Semantic Scholar
How Can We Effect Culture Change Toward Data-Driven Medicine?
C. Mayo, J. Deasy, B. Chera, J. Freymann +2 more
2016International Journal of Radiation Oncology, Biology, Physics16 citations
Semantic Scholar
The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
F. Kofler, Felix Meissen, Felix Steinbauer, Robert Graf +102 more
202310 citations
Semantic Scholar
Computational Precision Medicine Radiology-Pathology challenge on Brain Tumor Classification 2020
K. Farahani, T. Kurç, S. Bakas, Ben Bearce +7 more
20209 citations
Semantic Scholar
Standardized representation of the LIDC annotations using DICOM
A. Fedorov, Matthew C. Hancock, D. Clunie, M. Brochhausen +7 more
20189 citations Open access
Semantic Scholar
Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma
M. Lehrer, A. Bhadra, V. Ravikumar, James Chen +7 more
2017Oncoscience8 citations Open access
Semantic Scholar
MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark: "Prediction of Survival and Pseudoprogression"
S. Bakas, Bjoern H Menze, C. Davatzikos, Jayashree Kalpathy-Cramer +19 more
20207 citations
Semantic Scholar
TU-AB-BRA-03: The Cancer Imaging Archive: Supporting Radiomic and Imaging Genomic Research with Open-Access Data Sets
J. Kirby, L. Tarbox, J. Freymann, C. Jaffe +1 more
20156 citations
Semantic Scholar
Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project
R. Colen, M. Vangel, Ji-Xin Wang, D. Gutman +14 more
2014BMC Medical Genomics6 citations Open access
Semantic Scholar
Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies
J. Kalen, D. Clunie, Yanling Liu, J. Tatum +7 more
2021Tomography5 citations Open access
Semantic Scholar
TU‐CD‐BRB‐07: Identification of Associations Between Radiologist‐Annotated Imaging Features and Genomic Alterations in Breast Invasive Carcinoma, a TCGA Phenotype Research Group Study
A. Rao, Jose M. Net, K. Brandt, Erich P Huang +13 more
20155 citations
Semantic Scholar
NEURO/MEDICAL ONCOLOGY
P. Ambady, M. Holdhoff, C. Ferrigno, S. Grossman +496 more
20134 citations Open access
Semantic Scholar
Comprehensive radiogenomics analysis of qualitative and quantitative features of cross-sectional imaging in the TCGA project in MIBC.
S. Lerner, V. Duddalwar, Erich P Huang, E. Altun +16 more
2019Journal of Clinical Oncology2 citations
Semantic Scholar

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