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ORCIDYekaterina Shpanskaya
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- affiliation: Stanford School of Medicine, CA, USA
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Journal Articles
- 2020
[j6]Shih-Cheng Huang
, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)- [j5]Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020) - 2019
- [j4]Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel:
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1(12): 578-583 (2019) - 2013
- [j3]Kelly R. Murphy, Susan M. Landau, Kingshuk Roy Choudhury, Christopher A. Hostage, Katie S. Shpanskaya, Haris I. Sair, Jeffrey R. Petrella, Terence Z. Wong, P. Murali Doraiswamy:
Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth. NeuroImage 78: 474-480 (2013) - 2012
- [j2]Zhengzhang Chen, Kanchana Padmanabhan, Andrea M. Rocha, Yekaterina Shpanskaya, James R. Mihelcic, Kathleen Scott, Nagiza F. Samatova:
Spice: discovery of phenotype-determining component interplays. BMC Syst. Biol. 6: 40 (2012) - [j1]Matthew C. Schmidt, Andrea M. Rocha, Kanchana Padmanabhan, Yekaterina Shpanskaya, Jillian F. Banfield, Kathleen Scott, James R. Mihelcic, Nagiza F. Samatova:
NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems. PLoS Comput. Biol. 8(5) (2012)
Conference and Workshop Papers
- 2019
- [c1]Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI 2019: 590-597
Informal and Other Publications
- 2019
- [i4]Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. CoRR abs/1901.07031 (2019) - 2018
- [i3]Liyue Shen, Katie S. Shpanskaya, Edward H. Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John M. Pauly, Kristen W. Yeom:
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain. CoRR abs/1812.07102 (2018) - 2017
- [i2]Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng:
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR abs/1711.05225 (2017) - [i1]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 S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng:
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. CoRR abs/1712.06957 (2017)
Coauthor Index
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