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Publication search results
found 18 matches
- 2024
- Anahita Fathi Kazerooni, Nastaran Khalili, Deep Gandhi, Xinyang Liu, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Anurag Gottipati, Debanjan Haldar, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johansen, Blaise V. Jones, Neda Khalili, Florian Kofler, Dominic LaBella, Hollie Anne Lai, Koen Van Leemput, Hongwei Bran Li, Nazanin Maleki, Aaron S. McAllister, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Khanak K. Nandolia, Julija Pavaine, Marie Piraud, Tina Poussaint, Sanjay P. Prabhu, Zachary Reitman, Andres Felipe Rodriguez, Jeffrey D. Rudie, Mariana Sanchez-Montano, Ibraheem Salman Shaikh, Lubdha M. Shah, Nakul Sheth, Russel Taki Shinohara, Wenxin Tu, Karthik Viswanathan, Chunhao Wang, Jeffrey B. Ware, Benedikt Wiestler, Walter I. Wiggins, Anna Zapaishchykova, Mariam Aboian, Miriam Bornhorst, Peter de Blank, Michelle Deutsch, Maryam Fouladi, Lindsey Hoffman, Benjamin H. Kann, Margot Lazow, Leonie Mikael, Ali Nabavizadeh, Roger J. Packer, Spyridon Bakas, Adam C. Resnick, Brian Rood, Arastoo Vossough, Marius George Linguraru:
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2404.15009 (2024) - 2023
- Brian P. Alcock, William Huynh, Romeo Chalil, Keaton W. Smith, Amogelang R. Raphenya, Mateusz A. Wlodarski, Arman Edalatmand, Aaron J. Petkau, Sohaib A. Syed, Kara K. Tsang, Sheridan J. C. Baker, Mugdha Dave, Madeline C. McCarthy, Karyn M. Mukiri, Jalees A. Nasir, Bahar Golbon, Hamna Imtiaz, Xingjian Jiang, Komal Kaur, Megan Kwong, Zi Cheng Liang, Keyu C. Niu, Prabakar Shan, Jasmine Y. J. Yang, Kristen L. Gray, Gemma Hoad, Baofeng Jia, Timsy Bhando, Lindsey A. Carfrae, Maya A. Farha, Shawn French, Rodion Gordzevich, Kenneth Rachwalski, Megan M. Tu, Emily Bordeleau, Damion M. Dooley, Emma J. Griffiths, Haley L. Zubyk, Eric D. Brown, Finlay Maguire, Robert G. Beiko, William W. L. Hsiao, Fiona S. L. Brinkman, Gary H. Van Domselaar, Andrew G. McArthur:
CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res. 51(D1): 690-699 (2023) - 2022
- Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel:
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. 2(9): 605-616 (2022) - 2020
- Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey:
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 3 (2020) - Joshua R. Vest, Mark A. Unruh, Katy Ellis Hilts, Lindsey Sanner, Joshua Jones, Shahid Khokhar, Hye-Young Jung:
End user information needs for a SMART on FHIR-based automated transfer form to support the care of nursing home patients during emergency department visits. AMIA 2020 - Daniel J. Liebling, Michal Lahav, Abigail Evans, Aaron Donsbach, Jess Holbrook, Boris Smus, Lindsey Boran:
Unmet Needs and Opportunities for Mobile Translation AI. CHI 2020: 1-13 - Daniel J. Liebling, Michal Lahav, Abigail Evans, Aaron Donsbach, Jess Holbrook, Boris Smus, Lindsey Boran:
Unmet Needs and Opportunities for Mobile Translation AI. CoRR abs/2002.12387 (2020) - 2019
- Kevin Li, Rachel Chen, William Lindsey, Aaron A. Best, Matthew DeJongh, Christopher S. Henry, Nathan L. Tintle:
Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data. PSB 2019: 172-183 - 2018
- Robert V. Lindsey, Aaron Daluiski, Sumit Chopra, Alexander Lachapelle, Michael Mozer, Serge Sicular, Douglas Hanel, Michael Gardner, Anurag Gupta, Robert Hotchkiss, Hollis Potter:
Deep neural network improves fracture detection by clinicians. Proc. Natl. Acad. Sci. USA 115(45): 11591-11596 (2018) - Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata:
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - 2017
- Naveena Yanamala, Marlene S. Orandle, Vamsi K. Kodali, Lindsey M. Bishop, Patti C. Zeidler-Erdely, Jenny R. Roberts, Vincent Castranova, Aaron D. Erdely:
Supervised Machine Learning Approaches Predict and Characterize Nanomaterial Exposures: MWCNT Markers in Lung Lavage Fluid. BCB 2017: 576 - 2016
- Naveena Yanamala, Lindsey M. Bishop, Vamsi K. Kodali, Patti C. Zeidler-Erdely, Aaron D. Erdely:
Machine learning techniques predict and characterize toxicity between different multi-walled carbon nanotubes. BCB 2016: 517 - 2015
- Hsin-Yi Cindy Yeh, Aaron Lindsey, Chih-Peng Wu, Shawna L. Thomas, Nancy M. Amato:
Decoy Database Improvement for Protein Folding. J. Comput. Biol. 22(9): 823-836 (2015) - Stephen M. Ord, Brian Crosse, David Emrich, Dave Pallot, Randall B. Wayth, Michael A. Clark, Steven E. Tremblay, Wayne Arcus, David Barnes, Martin E. Bell, Gianni Bernardi, N. D. Ramesh Bhat, Julie D. Bowman, Frank H. Briggs, John D. Bunton, Roger J. Cappallo, Brian E. Corey, Avinash A. Deshpande, Ludi deSouza, Aaron Ewell-Wice, Lu Feng, Robert F. Goeke, Lincoln J. Greenhill, Bryna J. Hazelton, David Edwin Herne, Jacqueline N. Hewitt, Luke Hindson, Natasha Hurley-Walker, Daniel C. Jacobs, Melanie Johnston-Hollitt, David L. Kaplan, Justin C. Kasper, Barton B. Kincaid, Ronald Koenig, Eric Kratzenberg, Nadia Kudryavtseva, E. Lenc, Colin J. Lonsdale, Mervyn J. Lynch, Benjamin McKinley, Stephen R. McWhirter, Daniel A. Mitchell, Miguel F. Morales, Edward H. Morgan, Divya Oberoi, André R. Offringa, Joseph Pathikulangara, Bart Pindor, Thiagaraj Prabu, Pietro Procopio, Ronald A. Remillard, J. Riding, Alan E. E. Rogers, Anish A. Roshi, Joseph E. Salah, Robert J. Sault, Udaya Shankar Natarajan, K. S. Srivani, James Stevens, Ravi Subrahmanyan, Steven J. Tingay, Mark F. Waterson, Rachel Lindsey Webster, Alan R. Whitney, Andrew J. Williams, Christopher L. Williams, J. Stuart B. Wyithe:
The Murchison Widefield Array Correlator. CoRR abs/1501.05992 (2015) - 2014
- Aaron Lindsey, Hsin-Yi Cindy Yeh, Chih-Peng Wu, Shawna L. Thomas, Nancy M. Amato:
Improving decoy databases for protein folding algorithms. BCB 2014: 717-724 - Hsin-Yi Cindy Yeh, Jory Denny, Aaron Lindsey, Shawna L. Thomas, Nancy M. Amato:
UMAPRM: Uniformly sampling the medial axis. ICRA 2014: 5798-5803 - Lindsey Kuper, Aaron Todd, Sam Tobin-Hochstadt, Ryan R. Newton:
Taming the parallel effect zoo: extensible deterministic parallelism with LVish. PLDI 2014: 2-14 - Lindsey Kuper, Aaron Turon, Neelakantan R. Krishnaswami, Ryan R. Newton:
Freeze after writing: quasi-deterministic parallel programming with LVars. POPL 2014: 257-270
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retrieved on 2024-08-14 11:03 CEST from data curated by the dblp team
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