Justin Kirby

20.0k citations

32 papers · 6.0k indexed · 2 hit papers · h-index 20

Radiology, Nuclear Medicine and Imaging top 0.2%
Computer Vision and Pattern Recognition top 0.5%
Artificial Intelligence top 0.5%
Neurology top 0.5%
Pulmonary and Respiratory Medicine top 2%

Co-authors: John Freymann Fred Prior Lawrence Tarbox Kirk Smith Kenneth Clark Bruce A. Vendt Stephen Moore Paul Koppel
Topics: Radiomics and Machine Learning in Medical Imaging (26 papers)Medical Imaging Techniques and Applications (8 papers)Glioma Diagnosis and Treatment (6 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Neurology
Journals: Journal of Clinical Oncology Cancer Radiology
Partner nations: United States United Kingdom Netherlands

In The Last Decade

Justin Kirby

31 papers receiving 5.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

2013 2.9k citations Kenneth Clark, Bruce A. Vendt et al. Journal of Digital Imaging profile →
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

2017 1.5k citations Spyridon Bakas, Hamed Akbari et al. Scientific Data profile →

Peers

Countries citing papers authored by Justin Kirby

Since Specialization

Citations

This map shows the geographic impact of Justin Kirby's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Justin Kirby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Kirby more than expected).

Fields of papers citing papers by Justin Kirby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Kirby. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Justin Kirby. The network helps show where Justin Kirby may publish in the future.

Co-authorship network of co-authors of Justin Kirby

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Kirby. A scholar is included among the top collaborators of Justin Kirby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin Kirby. Justin Kirby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies 2021 ·Tomography ·Joseph D. Kalen,David Clunie,Yanling Liu,James L. Tatum,Paula Jacobs,Justin Kirby,John Freymann,(unknown),Kirk Smith,Christian Suloway,James H. Doroshow	2
2	DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules 2020 ·Medical Physics ·Andriy Fedorov,(unknown),David Clunie,Mathias Brochhausen,(unknown),Justin Kirby,John Freymann,Steve Pieper,Hugo J.W.L. Aerts,Ron Kikinis,Fred Prior	11
3	Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis 2020 ·European Radiology ·Lucian Beer,Hilal Şahin,Nicholas W. Bateman,Ivana Blažić,Hebert Alberto Vargas,Harini Veeraraghavan,Justin Kirby,(unknown),John Freymann,C. Carl Jaffe,James D. Brenton,Maura Miccò,Stéphanie Nougaret,Kathleen M. Darcy,G. Larry Maxwell,Thomas P. Conrads,Erich P. Huang,Evis Sala	29
4	Comprehensive radiogenomics analysis of qualitative and quantitative features of cross-sectional imaging in the TCGA project in MIBC. 2019 ·Journal of Clinical Oncology ·Seth P. Lerner,Vinay Duddalwar,Erich P. Huang,Ersan Altun,Tharakeswara Bathala,(unknown),(unknown),Fabiano R. Lucchesi,Valdair Francisco Muglia,Stephen Thomas,Raghu Vikram,Hebert Alberto Vargas,Steven Cen,Darryl Hwang,Kevin G. King,Bino Varghese,(unknown),Justin Kirby,C. Carl Jaffe,John Freymann	2
5	PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images 2018 ·Journal of Medical Imaging ·Samuel G. Armato,Henkjan Huisman,Karen Drukker,Lubomir M. Hadjiiski,Justin Kirby,Nicholas Petrick,George Redmond,Maryellen L. Giger,H. Kenny,Artem B. Mamonov,Jayashree Kalpathy–Cramer,Keyvan Farahani	126
6	Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic featuresbreakdown → 2017 ·Scientific Data ·Spyridon Bakas,Hamed Akbari,Aristeidis Sotiras,Michel Bilello,Martin Rozycki,Justin Kirby,John Freymann,Keyvan Farahani,Christos Davatzikos	1476
7	The public cancer radiology imaging collections of The Cancer Imaging Archive 2017 ·Scientific Data ·Fred Prior,Kirk Smith,Ashish Sharma,Justin Kirby,Lawrence Tarbox,Kenneth Clark,William Bennett,Tracy S. Nolan,John Freymann	93
8	Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group 2017 ·Radiology ·Hebert Alberto Vargas,Erich P. Huang,Yulia Lakhman,Joseph E. Ippolito,Priya Bhosale,Vincent M. Mellnick,Atul B. Shinagare,(unknown),Justin Kirby,(unknown),John Freymann,(unknown),Evis Sala	48
9	Radiogenomics of clear cell renal cell carcinoma: preliminary findings of The Cancer Genome Atlas–Renal Cell Carcinoma (TCGA–RCC) Imaging Research Group 2015 ·Abdominal Imaging ·Atul B. Shinagare,Raghu Vikram,C. Carl Jaffe,Oğuz Akın,Justin Kirby,Erich P. Huang,John Freymann,Nisha I. Sainani,Cheryl A. Sadow,Tharakeswara Bathala,Daniel L. Rubin,Aytekin Oto,Matthew T. Heller,Venkateswar R. Surabhi,(unknown),Stuart G. Silverman	90
10	De-identification of Medical Images with Retention of Scientific Research Value 2015 ·Radiographics ·Stephen Moore,(unknown),Kirk Smith,Justin Kirby,Kenneth W. Clark,John Freymann,Bruce A. Vendt,Lawrence Tarbox,Fred Prior	53
11	Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival 2015 ·Neuro-Oncology ·(unknown),Masumeh Hatami,Jixin Wang,Ginu Thomas,Adam E. Flanders,Justin Kirby,Max Wintermark,Erich Huang,Ali Bakhtiari,Markus M. Luedi,(unknown),Daniel L. Rubin,James Y. Chen,Scott N. Hwang,John Freymann,Chad A. Holder,Pascal O. Zinn,Rivka R. Colen	69
12	Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage 2015 ·Cancer ·Elizabeth S. Burnside,Karen Drukker,Hui Li,Ermelinda Bonaccio,Margarita L. Zuley,Marie A. Ganott,Jose Net,Elizabeth J. Sutton,Kathleen R. Brandt,Gary J. Whitman,Suzanne D. Conzen,Lan Li,Yuan Ji,Yitan Zhu,C. Carl Jaffe,Erich P. Huang,John Freymann,Justin Kirby,Elizabeth A. Morris,Maryellen L. Giger	54
13	Interoperable communication of quantitative image analysis results using DICOM standard 2015 ·Figshare ·(unknown),(unknown),(unknown),Justin Kirby,(unknown),(unknown),(unknown),Pattanasak Mongkolwat,(unknown),(unknown),(unknown),Ron Kikinis	2
14	Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project 2014 ·BMC Medical Genomics ·Rivka R. Colen,Márk Vangel,Jixin Wang,David A. Gutman,Scott N. Hwang,Max Wintermark,Rajan Jain,(unknown),James Y. Chen,Prashant Raghavan,Chad A. Holder,Daniel B. Rubin,Eric Yi‐Hsiu Huang,Justin Kirby,John Freymann,C. Carl Jaffe,Adam E. Flanders,Pascal O. Zinn	59
15	Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor 2014 ·Radiology ·Rajan Jain,Laila Poisson,David A. Gutman,Lisa Scarpace,Scott N. Hwang,Chad A. Holder,Max Wintermark,Arvind Rao,Rivka R. Colen,Justin Kirby,John Freymann,C. Carl Jaffe,Tom Mikkelsen,Adam E. Flanders	177
16	Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive 2014 ·Translational Oncology ·Jayashree Kalpathy–Cramer,John Freymann,Justin Kirby,Paul E. Kinahan,Fred Prior	76
17	The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repositorybreakdown → 2013 ·Journal of Digital Imaging ·Kenneth Clark,Bruce A. Vendt,Kirk Smith,John Freymann,Justin Kirby,Paul Koppel,Stephen Moore,(unknown),(unknown),Michael Pringle,Lawrence Tarbox,Fred Prior	2948
18	Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers 2012 ·Radiology ·Rajan Jain,Laila Poisson,Jayant Narang,David A. Gutman,Lisa Scarpace,Scott N. Hwang,Chad A. Holder,Max Wintermark,Rivka R. Colen,Justin Kirby,John Freymann,Daniel J. Brat,C. Carl Jaffe,Tom Mikkelsen	114
19	Informatics methods to enable sharing of quantitative imaging research data 2012 ·Magnetic Resonance Imaging ·Mia Levy,John Freymann,Justin Kirby,Andriy Fedorov,Fiona M. Fennessy,Steven A. Eschrich,Anders Berglund,David Fenstermacher,Yongqiang Tan,Xiaotao Guo,Thomas L. Casavant,Bartley Brown,Terry A. Braun,André Dekker,Erik Roelofs,James M. Mountz,Fernando E. Boada,Charles M. Laymon,(unknown),Daniel L. Rubin	13
20	Image Data Sharing for Biomedical Research—Meeting HIPAA Requirements for De-identification 2011 ·Journal of Digital Imaging ·John Freymann,Justin Kirby,John Perry,David Clunie,C. Carl Jaffe	64

About Justin Kirby

Justin Kirby is a scholar working on Radiology, Nuclear Medicine and Imaging, Structural Biology and Genetics, having authored 32 papers that have together received 6.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Imaging Techniques and Applications (8 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Health Informatics (272 citations), Radiology, Nuclear Medicine and Imaging (3.8k citations) and Neurology (1.3k citations). Justin Kirby has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John Freymann, Fred Prior, Lawrence Tarbox, Kirk Smith, Kenneth Clark, Bruce A. Vendt, Stephen Moore, Paul Koppel, Michael Pringle and Keyvan Farahani. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Radiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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