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Publication search results
found 67 matches
- 2024
- Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio:
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR abs/2405.01822 (2024) - 2023
- Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. IEEE Trans. Medical Imaging 42(6): 1799-1808 (2023) - Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow:
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis. Comput. Ind. Biomed. Art 6(1): 9 (2023) - Christopher Kitras, Carter Pollan, Kyle Myers, Camille Wirthlin Tischner, Philip Lundrigan:
Location Verification of Crowd-Sourced Sensors. ICCCN 2023: 1-7 - Patrick M. Lenahan, E. B. Frantz, Sean W. King, Mark A. Anders, S. J. Moxim, James P. Ashton, Kyle J. Myers, M. E. Flatté, N. J. Harmon:
Near Zero Field Magnetoresistance Spectroscopy: A New Tool in Semiconductor Reliability Physics. IRPS 2023: 1-6 - Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Predictive accuracy of model observers in lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Heather M. Whitney, Natalie M. Baughan, Kyle J. Myers, Maryellen L. Giger, Michael F. McNitt-Gray:
Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Evaluating generative stochastic image models using task-based image quality measures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow:
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR abs/2303.09038 (2023) - Mehdi Rezaie, Ashley J. Ross, Hee-Jong Seo, Hui Kong, Anna Porredon, Lado Samushia, Edmond Chaussidon, Alex Krolewski, Arnaud de Mattia, Florian Beutler, Jessica Nicole Aguilar, Steven Ahlen, Shadab Alam, Santiago Ávila, Benedict Bahr-Kalus, Jose Bermejo-Climent, David D. Brooks, Todd Claybaugh, Shaun Cole, Kyle Dawson, Axel de la Macorra, Peter Doel, Andreu Font-Ribera, Jaime E. Forero-Romero, Satya Gontcho A Gontcho, Julien Guy, Klaus Honscheid, Theodore Kisner, Martin Landriau, Michael Levi, Marc Manera, Aaron Meisner, Ramon Miquel, Eva-Maria Mueller, Adam Myers, Jeffrey A. Newman, Jundan Nie, Nathalie Palanque-Delabrouille, Will J. Percival, Claire Poppett, Graziano Rossi, Eusebio Sánchez, Michael S. Schubnell, Gregory G. Tarlé, Benjamin Alan Weaver, Christophe Yèche, Zhimin Zhou, Hu Zou:
Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies. CoRR abs/2307.01753 (2023) - 2022
- Bilal Shaikh, Lucian P. Smith, Dan Vasilescu, Gnaneswara Marupilla, Michael Wilson, Eran Agmon, Henry Agnew, Steven S. Andrews, Azraf Anwar, Moritz E. Beber, Frank T. Bergmann, David Brooks, Lutz Brusch, Laurence Calzone, Kiri Choi, Joshua Cooper, John Detloff, Brian Drawert, Michel Dumontier, G. Bard Ermentrout, James R. Faeder, Andrew P. Freiburger, Fabian Fröhlich, Akira Funahashi, Alan Garny, John H. Gennari, Padraig Gleeson, Anne Goelzer, Zachary B. Haiman, Jan Hasenauer, Joseph L. Hellerstein, Henning Hermjakob, Stefan Hoops, Jon C. Ison, Diego Jahn, Henry V. Jakubowski, Ryann Jordan, Matús Kalas, Matthias König, Wolfram Liebermeister, Rahuman S. Malik-Sheriff, Synchon Mandal, Robert A. McDougal, J. Kyle Medley, Pedro Mendes, Robert Müller, Chris J. Myers, Aurélien Naldi, Tung V. N. Nguyen, David P. Nickerson, Brett G. Olivier, Drashti Patoliya, Loïc Paulevé, Linda R. Petzold, Ankita Priya, Anand K. Rampadarath, Johann M. Rohwer, Ali Sinan Saglam, Dilawar Singh, Ankur Sinha, Jacky L. Snoep, Hugh Sorby, Ryan K. Spangler, Jörn Starruß, Payton J. Thomas, David D. van Niekerk, Daniel Weindl, Fengkai Zhang, Anna Zhukova, Arthur P. Goldberg, James C. Schaff, Michael L. Blinov, Herbert M. Sauro, Ion I. Moraru, Jonathan R. Karr:
BioSimulators: a central registry of simulation engines and services for recommending specific tools. Nucleic Acids Res. 50(W1): 108-114 (2022) - Brandon D. Gallas, Aldo Badano, Sarah Dudgeon, Katherine Elfer, Victor Garcia, Jochen K. Lennerz, Kyle J. Myers, Nicholas Petrick, Ed Margerrison:
FDA fosters innovative approaches in research, resources and collaboration. Nat. Mach. Intell. 4(2): 97-98 (2022) - Ge Wang, Andreu Badal, Xun Jia, Jonathan S. Maltz, Klaus Mueller, Kyle J. Myers, Chuang Niu, Michael W. Vannier, Pingkun Yan, Zhou Yu, Rongping Zeng:
Development of metaverse for intelligent healthcare. Nat. Mac. Intell. 4(11): 922-929 (2022) - Craig K. Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank W. Samuelson, Miguel P. Eckstein, Kyle J. Myers, Mark A. Anastasio, Jovan G. Brankov:
Analyzing neural networks applied to an anatomical simulation of the breast. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Natalie M. Baughan, Heather M. Whitney, Karen Drukker, Berkman Sahiner, Tingting Hu, Hyun J. Grace Kim, Michael F. McNitt-Gray, Kyle J. Myers, Maryellen L. Giger:
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - Bilal Shaikh, Lucian P. Smith, Dan Vasilescu, Gnaneswara Marupilla, Michael Wilson, Eran Agmon, Henry Agnew, Steven S. Andrews, Azraf Anwar, Moritz E. Beber, Frank T. Bergmann, David Brooks, Lutz Brusch, Laurence Calzone, Kiri Choi, Joshua Cooper, John Detloff, Brian Drawert, Michel Dumontier, G. Bard Ermentrout, James R. Faeder, Andrew P. Freiburger, Fabian Fröhlich, Akira Funahashi, Alan Garny, John H. Gennari, Padraig Gleeson, Anne Goelzer, Zachary B. Haiman, Joseph L. Hellerstein, Stefan Hoops, Jon C. Ison, Diego Jahn, Henry V. Jakubowski, Ryann Jordan, Matús Kalas, Matthias König, Wolfram Liebermeister, Synchon Mandal, Robert A. McDougal, J. Kyle Medley, Pedro Mendes, Robert Müller, Chris J. Myers, Aurélien Naldi, Tung V. N. Nguyen, David P. Nickerson, Brett G. Olivier, Drashti Patoliya, Loïc Paulevé, Linda R. Petzold, Ankita Priya, Anand K. Rampadarath, Johann M. Rohwer, Ali Sinan Saglam, Dilawar Singh, Ankur Sinha, Jacky L. Snoep, Hugh Sorby, Ryan K. Spangler, Jörn Starruß, Payton J. Thomas, David D. van Niekerk, Daniel Weindl, Fengkai Zhang, Anna Zhukova, Arthur P. Goldberg, Michael L. Blinov, Herbert M. Sauro, Ion I. Moraru, Jonathan R. Karr:
BioSimulators: a central registry of simulation engines and services for recommending specific tools. CoRR abs/2203.06732 (2022) - Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR abs/2204.03547 (2022) - Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR abs/2204.12007 (2022) - 2021
- Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng:
Noise Entangled GAN For Low-Dose CT Simulation. CoRR abs/2102.09615 (2021) - Jian Gao, Yian Yin, Kyle R. Myers, Karim R. Lakhani, Dashun Wang:
Loss of New Ideas: Potentially Long-lasting Effects of the Pandemic on Scientists. CoRR abs/2107.13073 (2021) - Prabhat K. C., Rongping Zeng, M. Mehdi Farhangi, Kyle J. Myers:
Deep neural networks-based denoising models for CT imaging and their efficacy. CoRR abs/2111.09539 (2021) - 2020
- Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Human observer templates for lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160U - 2019
- Nathaniel D. Mercaldo, Kyle B. Brothers, David S. Carrell, Ellen Wright Clayton, John J. Connolly, Ingrid A. Holm, Carol R. Horowitz, Gail P. Jarvik, Terrie E. Kitchner, Rongling Li, Catherine A. McCarty, Jennifer B. McCormick, Valerie D. McManus, Melanie F. Myers, Joshua J. Pankratz, Martha J. Shrubsole, Maureen E. Smith, Sarah C. Stallings, Janet L. Williams, Jonathan S. Schildcrout:
Enrichment sampling for a multi-site patient survey using electronic health records and census data. J. Am. Medical Informatics Assoc. 26(3): 219-227 (2019) - Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Template models for forced-localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 1095206 - 2018
- Rongping Zeng, Congxian Jia, Nima Akhlaghi, Mahsa Torkaman, Brian S. Garra, Karen Alton, Rachel Brem, Tahira Ahmed, Richard Kaczmarek, Kyle J. Myers:
Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques. IWBI 2018: 107180L - 2017
- Kyle J. Myers:
FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation). Medical Imaging: Computer-Aided Diagnosis 2017: 1013415 - 2016
- Dagmar Waltemath, Jonathan R. Karr, Frank T. Bergmann, Vijayalakshmi Chelliah, Michael Hucka, Marcus Krantz, Wolfram Liebermeister, Pedro Mendes, Chris J. Myers, Pinar Pir, Begum Alaybeyoglu, Naveen K. Aranganathan, Kambiz Baghalian, Arne T. Bittig, Paulo E. Pinto Burke, Matteo Cantarelli, Yin Hoon Chew, Rafael S. Costa, Joseph Cursons, Tobias Czauderna, Arthur P. Goldberg, Harold F. Gómez, Jens Hahn, Tuure Hameri, Daniel F. Hernandez Gardiol, Denis Kazakiewicz, Ilya Kiselev, Vincent Knight-Schrijver, Christian Knüpfer, Matthias König, Daewon Lee, Audald Lloret-Villas, Nikita Mandrik, J. Kyle Medley, Bertrand Moreau, Hojjat Naderi-Meshkin, Sucheendra K. Palaniappan, Daniel Priego-Espinosa, Martin Scharm, Mahesh Sharma, Kieran Smallbone, Natalie J. Stanford, Je-Hoon Song, Tom Theile, Milenko Tokic, Namrata Tomar, Vasundra Touré, Jannis Uhlendorf, Thawfeek M. Varusai, Leandro H. Watanabe, Florian Wendland, Markus Wolfien, James T. Yurkovich, Yan Zhu, Argyris Zardilis, Anna Zhukova, Falk Schreiber:
Toward Community Standards and Software for Whole-Cell Modeling. IEEE Trans. Biomed. Eng. 63(10): 2007-2014 (2016) - Subok Park, George Zhang, Kyle J. Myers:
Comparison of Channel Methods and Observer Models for the Task-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise. IEEE Trans. Medical Imaging 35(6): 1431-1442 (2016) - Predrag R. Bakic, Kyle J. Myers, Stephen J. Glick, Andrew D. A. Maidment:
Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions. Digital Mammography / IWDM 2016: 518-524
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