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2020 – today
- 2024
[i7]Lidia Garrucho, Claire-Anne Reidel, Kaisar Kushibar, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir:
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR abs/2406.13844 (2024)- [i6]Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng:
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. CoRR abs/2410.12793 (2024) - 2023
- [i5]David A. Clunie
, Adam E. Flanders, Adam Taylor, Bradley James Erickson, Brian Bialecki, David Brundage, David Gutman, Fred W. Prior, J. Anthony Seibert, John H. Perry, Judy Wawira Gichoya, Justin S. Kirby, Katherine P. Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt M. Tellis, Ying Xiao, Keyvan Farahani:
Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations. CoRR abs/2303.10473 (2023) - [i4]Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - 2022
- [c23]Shorabuddin Syed, Adam Jackson Angel, Hafsa Bareen Syeda, Carole Franc Jennings, Joseph VanScoy, Mahanazuddin Syed, Melody L. Greer, Sudeepa Bhattacharyya, Shaymaa Al-Shukri, Meredith N. Zozus, Fred W. Prior, Benjamin Tharian:
TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation. HEALTHINF 2022: 162-169 - [c22]Shorabuddin Syed, Adam Jackson Angel, Hafsa Bareen Syeda, Carole France Jennings, Joseph VanScoy, Mahanazuddin Syed, Melody L. Greer, Sudeepa Bhattacharyya, Meredith N. Zozus, Benjamin Tharian, Fred W. Prior:
The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings. HEALTHINF 2022: 189-200 - [c21]Mahanazuddin Syed, Kevin W. Sexton, Melody L. Greer, Shorabuddin Syed, Joseph VanScoy, Farhan Kawsar, Erica Olson, Karan Patel, Jake Erwin, Sudeepa Bhattacharyya, Meredith N. Zozus, Fred W. Prior:
DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes. HEALTHINF 2022: 640-647 - [i3]Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, Lidia Garrucho, Eloy García, Smriti Joshi, Socayna Jouide, Michael W. Rutherford, Fred W. Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir:
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. CoRR abs/2209.14472 (2022) - 2021
- [j19]Jonathan P. Bona, Aaron S. Kemp, Carli Cox, Tracy S. Nolan, Lakshmi Pillai, Aparna Das, James E. Galvin, Linda Larson-Prior, Tuhin Virmani, Fred W. Prior:
Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES). Frontiers Artif. Intell. 4: 649970 (2021) - [j18]Mahanazuddin Syed, Shorabuddin Syed, Kevin W. Sexton, Hafsa Bareen Syeda, Maryam Y. Garza, Meredith N. Zozus, Farhanuddin Syed, Salma Begum, Abdullah Usama Syed, Joseph A. Sanford, Fred W. Prior:
Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review. Informatics 8(1): 16 (2021) - [c20]Shorabuddin Syed, Mahanazuddin Syed, Fred W. Prior, Meredith N. Zozus, Hafsa Bareen Syeda, Melody L. Greer, Sudeepa Bhattacharyya, Shashank Garg:
Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures. MIE 2021: 183-187 - [c19]Shorabuddin Syed, Benjamin Tharian, Hafsa Bareen Syeda, Meredith N. Zozus, Melody L. Greer, Sudeepa Bhattacharyya, Mahanazuddin Syed, Fred W. Prior:
Consolidated EHR Workflow for Endoscopy Quality Reporting. MIE 2021: 427-431 - [c18]Mahanazuddin Syed, Shaymaa Al-Shukri, Shorabuddin Syed, Kevin W. Sexton, Melody L. Greer, Meredith N. Zozus, Sudeepa Bhattacharyya, Fred W. Prior:
DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool. MIE 2021: 432-436 - [c17]Mahanazuddin Syed, Shorabuddin Syed, Kevin W. Sexton, Melody L. Greer, Meredith N. Zozus, Sudeepa Bhattacharyya, Farhanuddin Syed, Fred W. Prior:
Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review. MIE 2021: 799-803 - 2020
- [c16]Shorabuddin Syed, Mahanazuddin Syed, Hafsa Bareen Syeda, Fred W. Prior, Meredith N. Zozus, Melody L. Penning, Mohammed Orloff:
Document Oriented Graphical Analysis and Prediction. MIE 2020: 183-187
2010 – 2019
- 2019
- [c15]William C. Bennett, Kirk E. Smith, Quasar Jarosz, Sonya Utecht, Fred W. Prior:
Posda: An Open Source Curation Tool for Validation, Editing, and Inspection of DICOM Objects for Large Scale Imaging Archives. AMIA 2019 - [c14]Aaron S. Kemp, Jonathan P. Bona, Tracy S. Nolan, Linda J. Larson-Prior, Tuhin Virmani, Lakshmi Pillai, Mathias Brochhausen, Lawrence Tarbox, Fred W. Prior:
Semantic Representations of Multi-Modal Data, NeuroInformatic Processing Pipelines, and Derived Neuroimaging Results in the Arkansas Image Enterprise System (ARIES). AMIA 2019 - [c13]Kirk E. Smith, William C. Bennett, Lawrence Tarbox, Tracy S. Nolan, Geri Blake, Justin S. Kirby, John B. Freymann, Fred W. Prior:
The Cancer Imaging Archive (TCIA), NCI's Imaging Data Resource. AMIA 2019 - [c12]Jonathan P. Bona, Aaron S. Kemp, Tracy S. Nolan, Linda J. Larson-Prior, Aparna Das, Tuhin Virmani, Lakshmi Pillai, Mathias Brochhausen, Fred W. Prior:
Semantic Integration of Neuroinformatics Data in the Arkansas Image Enterprise System with Open Biomedical Ontologies. ICBO 2019: 1 - [c11]Ahmad Baghal, Meredith N. Zozus, Amanda Baghal, Shaymaa Al-Shukri, Fred W. Prior:
Factors Associated with Increased Adoption of a Research Data Warehouse. ITCH 2019: 31-35 - [i2]Jason L. Causey, Yuanfang Guan, Wei Dong, Karl Walker, Jake A. Qualls, Fred W. Prior, Xiuzhen Huang:
Lung cancer screening with low-dose CT scans using a deep learning approach. CoRR abs/1906.00240 (2019) - 2018
- [c10]Tahsin M. Kurç, Joel H. Saltz, Fred W. Prior, Ashish Sharma:
Systems Demonstration: Towards a Services Oriented Platform for Combined Radiology-Pathology Image Analysis and Interpretation. AMIA 2018 - [i1]Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang:
Highly accurate model for prediction of lung nodule malignancy with CT scans. CoRR abs/1802.01756 (2018) - 2017
- [c9]Tracy S. Nolan, Justin S. Kirby, Fred W. Prior:
Data Management, Sharing, and Citation Strategies in The Cancer Imaging Archive (TCIA). AMIA 2017 - 2016
- [j17]Leslie D. McIntosh, Cynthia Hudson-Vitale, Fred W. Prior:
Special Issue on Reproducible Research for Biomedical Informatics. J. Biomed. Informatics 59: 317-318 (2016) - 2015
- [j16]Paul K. Commean, Joshua M. Rathmell, Kenneth W. Clark, David R. Maffitt, Fred W. Prior:
A Query Tool for Investigator Access to the Data and Images of the National Lung Screening Trial. J. Digit. Imaging 28(4): 439-447 (2015) - [c8]Matthew Kelsey, Fred W. Prior, Linda J. Larson-Prior:
Spatiotemporal analysis of the appearance of gamma-band Microstates in resting state MEG. EMBC 2015: 2637-2640 - 2013
- [j15]Lu Liu, Paul K. Commean, Charles Hildebolt, David R. Sinacore, Fred W. Prior, James P. Carson, Ioannis A. Kakadiaris, Tao Ju:
Automated, Foot-Bone Registration Using Subdivision-Embedded Atlases for Spatial Mapping of Bone Mineral Density. J. Digit. Imaging 26(3): 554-562 (2013) - [j14]Kenneth W. Clark, Bruce A. Vendt, Kirk E. Smith, John B. Freymann, Justin S. Kirby, Paul Koppel, Stephen M. Moore, Stanley R. Phillips, David R. Maffitt, Michael Pringle, Lawrence Tarbox, Fred W. Prior:
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. J. Digit. Imaging 26(6): 1045-1057 (2013) - [j13]Linda J. Larson-Prior, Robert Oostenveld, Stefania Della Penna, Georgios Michalareas, Fred W. Prior, Abbas Babajani-Feremi, Jan-Mathijs Schoffelen, Laura Marzetti, Francesco de Pasquale, F. Di Pompeo, J. Stout, Mark William Woolrich, Q. Luo, R. Bucholz, Pascal Fries, Vittorio Pizzella, Gian Luca Romani, Maurizio Corbetta, Abraham Z. Snyder:
Adding dynamics to the Human Connectome Project with MEG. NeuroImage 80: 190-201 (2013) - [c7]Fred W. Prior, Kenneth W. Clark, Paul K. Commean, John B. Freymann, C. Carl Jaffe, Justin S. Kirby, Stephen M. Moore, Kirk E. Smith, Lawrence Tarbox, Bruce A. Vendt, Guillermo Marquez:
TCIA: An information resource to enable open science. EMBC 2013: 1282-1285 - [c6]Kirk E. Smith, David G. Politte, Gregory Reiker, Tracy S. Nolan, Charles Hildebolt, Chelsea Mattson, Don M. Tucker, Fred W. Prior, Sergei Turovets, Linda J. Larson-Prior:
Automated measurement of skull circumference, cranial index, and braincase volume from pediatric computed tomography. EMBC 2013: 3977-3980 - [c5]Fred W. Prior, Sarah Jost Fouke, Tammie L. S. Benzinger, Alicia Boyd, Michael Chicoine, Sharath R. Cholleti, Matthew Kelsey, Bart Keogh, Lauren Kim, Mikhail Milchenko, David G. Politte, Stephen Tyree, Kilian Q. Weinberger, Daniel S. Marcus:
Predicting a multi-parametric probability map of active tumor extent using random forests. EMBC 2013: 6478-6481 - 2012
- [j12]David C. Van Essen, Kâmil Ugurbil, Edward J. Auerbach, Deanna M. Barch, T. E. J. Behrens, R. Bucholz, Acer Chang, Liyong Chen, Maurizio Corbetta, Sandra W. Curtiss, Stefania Della Penna, David A. Feinberg, Matthew F. Glasser, Noam Harel, A. C. Heath, Linda J. Larson-Prior, Daniel S. Marcus, Georgios Michalareas, Steen Moeller, Robert Oostenveld, Steven E. Petersen, Fred W. Prior, Bradley L. Schlaggar, Stephen M. Smith, Abraham Z. Snyder, Junqian Xu, Essa Yacoub:
The Human Connectome Project: A data acquisition perspective. NeuroImage 62(4): 2222-2231 (2012) - [c4]Matthew Kelsey, David G. Politte, Ryan Verner, John M. Zempel, Tracy S. Nolan, Abbas Babajani-Feremi, Fred W. Prior, Linda J. Larson-Prior:
Determination of neural state classification metrics from the power spectrum of human ECoG. EMBC 2012: 4336-4340 - [c3]Kirk E. Smith, David G. Politte, Gregory Reiker, Tracy S. Nolan, Charles Hildebolt, Chelsea Mattson, Don M. Tucker, Fred W. Prior, Sergei Turovets, Linda J. Larson-Prior:
Automated measurement of pediatric cranial bone thickness and density from clinical computed tomography. EMBC 2012: 4462-4465 - 2011
- [j11]Daniel S. Marcus, John W. Harwell, Timothy R. Olsen, Michael R. Hodge, Matthew F. Glasser, Fred W. Prior, Mark Jenkinson, Timothy O. Laumann, Sandra W. Curtiss, David C. Van Essen:
Informatics and Data Mining Tools and Strategies for the Human Connectome Project. Frontiers Neuroinformatics 5: 4 (2011) - [j10]James Philbin, Fred W. Prior, Paul G. Nagy:
Will the Next Generation of PACS Be Sitting on a Cloud? J. Digit. Imaging 24(2): 179-183 (2011)
2000 – 2009
- 2009
- [j9]Sharath R. Cholleti, Sally A. Goldman, Avrim Blum, David G. Politte, Steven Don, Kirk E. Smith, Fred W. Prior:
Veritas: Combining Expert Opinions without Labeled Data. Int. J. Artif. Intell. Tools 18(5): 633-651 (2009) - [j8]Bruce A. Vendt, Robert C. McKinstry, William S. Ball, Michael A. Kraut, Fred W. Prior, Bruce Barton, James F. Casella, Michael R. DeBaun:
Silent Cerebral Infarct Transfusion (SIT) Trial Imaging Core: Application of Novel Imaging Information Technology for Rapid and Central Review of MRI of the Brain. J. Digit. Imaging 22(3): 326-343 (2009) - [j7]Joseph P. Erinjeri, Daniel Picus, Fred W. Prior, David A. Rubin, Paul Koppel:
Development of a Google-Based Search Engine for Data Mining Radiology Reports. J. Digit. Imaging 22(4): 348-356 (2009) - [j6]Kenneth W. Clark, David S. Gierada, Guillermo Marquez, Stephen M. Moore, David R. Maffitt, Joan D. Moulton, Mary A. Wolfsberger, Paul Koppel, Stanley R. Phillips, Fred W. Prior:
Collecting 48, 000 CT Exams for the Lung Screening Study of the National Lung Screening Trial. J. Digit. Imaging 22(6): 667-680 (2009) - [j5]Fred W. Prior, Barry S. Brunsden, Charles Hildebolt, Tracy S. Nolan, Michael Pringle, S. Neil Vaishnavi, Linda J. Larson-Prior:
Facial Recognition From Volume-Rendered Magnetic Resonance Imaging Data. IEEE Trans. Inf. Technol. Biomed. 13(1): 5-9 (2009) - 2008
- [c2]Lu Liu, David Raber, David Nopachai, Paul K. Commean, David R. Sinacore, Fred W. Prior, Robert Pless, Tao Ju:
Interactive Separation of Segmented Bones in CT Volumes Using Graph Cut. MICCAI (1) 2008: 296-304 - 2007
- [j4]Kenneth W. Clark, David S. Gierada, Stephen M. Moore, David R. Maffitt, Paul Koppel, Stanley R. Phillips, Fred W. Prior:
Creation of a CT Image Library for the Lung Screening Study of the National Lung Screening Trial. J. Digit. Imaging 20(1): 23-31 (2007) - [j3]Seong Ki Mun, Fred W. Prior, Davide Caramella, Osman Ratib:
Guest Editorial Introduction to the Special Section on Image Management in the Healthcare Enterprise. IEEE Trans. Inf. Technol. Biomed. 11(1): 1-6 (2007)
1990 – 1999
- 1998
- [j2]W. Dean Bidgood Jr., Yasser Alsafadi, M. Tucker, Fred W. Prior, G. Hagan, J. E. Mattison:
The role of digital imaging and communications in medicine in an evolving healthcare computing environment: The model is the Message. J. Digit. Imaging 11(1): 1-9 (1998) - 1997
- [j1]W. Dean Bidgood Jr., Steven C. Horii, Fred W. Prior, Donald E. Van Syckle:
Review: Understanding and Using DICOM, the Data Interchange Standard for Biomedical Imaging. J. Am. Medical Informatics Assoc. 4(3): 199-212 (1997) - 1992
- [c1]Emil Wirsz, Fred W. Prior, Glenn A. Meredith, Kenneth R. Anderson:
Hierarchical Rapid Modeling of Picture Archiving and Communication Systems Using LANNET II.5 and NETWORK II.5. WSC 1992: 1356-1364
Coauthor Index
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