Ngā hua rapu - Robyn L. Ball
- E whakaatu ana i te 1 - 18 hua o te 18
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MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs mā Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Yi Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis P. Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
I whakaputaina 2017Pré-impressão -
2
Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support mā Imon Banerjee, Miji Sofela, Jaden Yang, Jonathan H. Chen, Nigam H. Shah, Robyn L. Ball, Alvin I. Mushlin, Manisha Desai, Joseph Bledsoe, Timothy J. Amrhein, Daniel L. Rubin, Roham T. Zamanian, Matthew P. Lungren
I whakaputaina 2019Artigo -
3
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV mā Pranav Rajpurkar, Chloe O’Connell, Amit Schechter, Nishit Asnani, Jason Li, Amirhossein Kiani, Robyn L. Ball, Marc Mendelson, Gary Maartens, Daniël J. van Hoving, Rulan Griesel, Andrew Y. Ng, Tom Boyles, Matthew P. Lungren
I whakaputaina 2020Artigo -
4
Macrophage Exclusion after Radiation Therapy (MERT): A First in Human Phase I/II Trial using a CXCR4 Inhibitor in Glioblastoma mā Reena Thomas, Seema Nagpal, Michael Iv, Scott G. Soltys, Sophie Bertrand, Judith Shanika Pelpola, Robyn L. Ball, Jaden Yang, Vandana Sundaram, Sophia B. Chernikova, Jonathan Lavezo, Donald E. Born, Hannes Vogel, J. Martin Brown, Lawrence D. Recht
I whakaputaina 2019Artigo -
5
Evaluation of a Smartphone Decision-Support Tool for Diarrheal Disease Management in a Resource-Limited Setting mā Farhana Haque, Robyn L. Ball, Selina Khatun, Mujaddeed Ahmed, Saraswati Kache, Mohammod Jobayer Chisti, Shafiqul Alam Sarker, Stace Maples, Dane Pieri, Teja Vardhan Korrapati, Clea Sarnquist, Nancy A. Federspiel, Muhammad Waliur Rahman, Jason R. Andrews, Mahmudur Rahman, Eric J. Nelson
I whakaputaina 2017Artigo -
6
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging mā Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Yi-Ann Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham T. Zamanian, Andrew Y. Ng, Matthew P. Lungren
I whakaputaina 2020Artigo -
7
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges mā Felipe Kitamura, Luciano M. Prevedello, Errol Colak, Safwan S. Halabi, Matthew P. Lungren, Robyn L. Ball, Jayashree Kalpathy–Cramer, Charles E. Kahn, Tyler Richards, Jason F. Talbott, George Shih, Hui Ming Lin, Katherine P. Andriole, Maryam Vazirabad, Bradley J. Erickson, Adam E. Flanders, John Mongan
I whakaputaina 2024Artigo -
8
Mouse Phenome Database: towards a more FAIR-compliant and TRUST-worthy data repository and tool suite for phenotypes and genotypes mā Molly A. Bogue, Robyn L. Ball, Vivek M. Philip, David O. Walton, Matthew H Dunn, Georgi Kolishovski, Anna Lamoureux, Matthew Gerring, Hongping Liang, Jake Emerson, Timothy M. Stearns, Hao He, Gaurab Mukherjee, John Bluis, Sejal Desai, Beth A. Sundberg, Beena M. Kadakkuzha, Govindarajan Kunde‐Ramamoorthy, Elissa J. Chesler
I whakaputaina 2022Artigo -
9
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model mā Allison Park, Chris Chute, Pranav Rajpurkar, Joe Lou, Robyn L. Ball, Katie Shpanskaya, Rashad Jabarkheel, Lily H. Kim, Emily McKenna, Joe Tseng, Jason Ni, Fidaa Wishah, Fred Wittber, David S. Hong, Thomas J. Wilson, Safwan S. Halabi, Sanjay Basu, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng, Kristen W. Yeom
I whakaputaina 2019Artigo -
10
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison mā Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Richard H. Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
I whakaputaina 2019Artigo -
11
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists mā Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Francis G. Blankenberg, Jayne Seekins, Timothy J. Amrhein, David A. Mong, Safwan S. Halabi, Evan J. Zucker, Andrew Y. Ng, Matthew P. Lungren
I whakaputaina 2018Artigo -
12
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet mā Nicholas Bien, Pranav Rajpurkar, Robyn L. Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Safwan S. Halabi, Evan J. Zucker, Gary S. Fanton, Derek F. Amanatullah, Christopher F. Beaulieu, Geoffrey M. Riley, Russell J. Stewart, Francis G. Blankenberg, David B. Larson, Richard H. Jones, Curtis P. Langlotz, Andrew Y. Ng, Matthew P. Lungren
I whakaputaina 2018Artigo -
13
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge mā Adam E. Flanders, Luciano M. Prevedello, George Shih, Safwan S. Halabi, Jayashree Kalpathy‐Cramer, Robyn L. Ball, John Mongan, Anouk Stein, Felipe Kitamura, Matthew P. Lungren, Gagandeep Choudhary, Lesley Cala, Luiz Coelho, Monique A. Mogensen, Fanny Morón, Elka Miller, Ichiro Ikuta, Vahe M. Zohrabian, Olivia McDonnell, Christie M. Lincoln, Lubdha M. Shah, David Joyner, Amit Agarwal, Ryan K. Lee, Jaya Nath
I whakaputaina 2020Artigo -
14
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge mā Adam E. Flanders, Luciano M. Prevedello, George Shih, Safwan S. Halabi, Jayashree Kalpathy‐Cramer, Robyn L. Ball, John Mongan, Anouk Stein, Felipe Kitamura, Matthew P. Lungren, Gagandeep Choudhary, Lesley Cala, Luiz Moreira Coelho, Monique A. Mogensen, Fanny Morón, Elka Miller, Ichiro Ikuta, Vahe M. Zohrabian, Olivia McDonnell, Christie M. Lincoln, Lubdha M. Shah, David Joyner, Amit Agarwal, Ryan K. Lee, Jaya Nath
I whakaputaina 2020Errata/Corrigenda -
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The Ontology of Biological Attributes (OBA)—computational traits for the life sciences mā Ray Stefancsik, James P. Balhoff, Meghan A. Balk, Robyn L. Ball, Susan M. Bello, Anita R. Caron, Elissa J. Chesler, Vinícius de Souza, Sarah Gehrke, Melissa Haendel, Laura W. Harris, Nomi L. Harris, Arwa Ibrahim, Sebastian Koehler, Nicolas Matentzoglu, Julie A. McMurry, Chris Mungall, Monica Muñoz‐Torres, Tim Putman, Peter N. Robinson, Damian Smedley, Elliot Sollis, Anne Thessen, Nicole Vasilevsky, David O. Walton, David Osumi-Sutherland
I whakaputaina 2023Artigo -
16
The RSNA Pulmonary Embolism CT Dataset mā Errol Colak, Felipe Kitamura, Stephen Hobbs, Carol C. Wu, Matthew P. Lungren, Luciano M. Prevedello, Jayashree Kalpathy‐Cramer, Robyn L. Ball, George Shih, Anouk Stein, Safwan S. Halabi, Emre Altınmakas, Meng Law, Parveen Kumar, Karam A. Manzalawi, Dennis Charles Nelson Rubio, Jacob W. Sechrist, Pauline Germaine, Eva Castro Lopez, Tomas Amerio, Pushpender Gupta, Manoj Jain, Fernando Uliana Kay, Cheng Ting Lin, Saugata Sen, Jonathan W. Revels, Carola Brussaard, John Mongan
I whakaputaina 2021Artigo -
17
GenomeMUSter mouse genetic variation service enables multitrait, multipopulation data integration and analysis mā Robyn L. Ball, Molly A. Bogue, Hongping Liang, Anuj Srivastava, David G. Ashbrook, Anna Lamoureux, Matthew Gerring, Alexander S. Hatoum, Matthew J. Kim, Hao He, Jake Emerson, Alexander K. Berger, David O. Walton, Keith Sheppard, Bahá El Kassaby, F Castellanos, Govindarajan Kunde-Ramamoorthy, Lu Lu, John Bluis, Sejal Desai, Beth A. Sundberg, Gary Peltz, Zhuoqing Fang, Gary A. Churchill, Robert W. Williams, Arpana Agrawal, Carol J. Bult, Vivek M. Philip, Elissa J. Chesler
I whakaputaina 2024Artigo -
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The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset mā Jeffrey D. Rudie, Hui Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa Davis, John Mongan, Peter Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan‐Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin‐Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Sánchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Doğan, Muris Bečirčić, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Errol Colak
I whakaputaina 2024Artigo
Ngā utauta rapu:
Ngā marau whai pānga
Medicine
Computer science
Radiology
Artificial intelligence
Biology
Internal medicine
Machine learning
Medical physics
Operating system
Radiography
Computational biology
Convolutional neural network
Data science
Deep learning
Gene
Genetics
Medical diagnosis
Pathology
Pulmonary embolism
Receiver operating characteristic
Chest radiograph
Database
Emergency medicine
Family medicine
Medical imaging
Nuclear medicine
Philosophy
Programming language
Quantitative trait locus
Surgery