Spice: discovery of phenotype-determining component interplays. - Zhengzhang Chen; Kanchana Padmanabhan; Andrea M. Rocha; Yekaterina Shpanskaya; James R. Mihelcic; Kathleen Scott; Nagiza F. Samatova (BMC Syst. Biol., 2012)

NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems. - Matthew C. Schmidt; Andrea M. Rocha; Kanchana Padmanabhan; Yekaterina Shpanskaya; Jillian F. Banfield; Kathleen Scott; James R. Mihelcic; Nagiza F. Samatova (PLoS Comput. Biol., 2012)

Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth. - 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 (NeuroImage, 2013)

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. - 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 (CoRR, 2017)

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. - 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; et al. (CoRR, 2017)

Deep Learning with Attention to Predict Gestational Age of the Fetal Brain. - Liyue Shen; Katie S. Shpanskaya; Edward H. Lee; Emily McKenna; Maryam Maleki; Quin Lu; Safwan Halabi; John M. Pauly; Kristen W. Yeom (CoRR, 2018)

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Jeremy Irvin; Pranav Rajpurkar; Michael Ko; Yifan Yu 005; Silviana Ciurea-Ilcus; Christopher Chute; Henrik Marklund; Behzad Haghgoo; Robyn L. Ball; Katie S. Shpanskaya; Jayne Seekins; David A. Mong; et al. (AAAI, 2019)

Automated abnormality detection in lower extremity radiographs using deep learning. - Maya Varma; Mandy Lu; Rachel Gardner; Jared Dunnmon; Nishith Khandwala; Pranav Rajpurkar; Jin Long; Christopher Beaulieu; Katie S. Shpanskaya; Li Fei-Fei 001; Matthew P. Lungren; Bhavik N. Patel (Nat. Mach. Intell., 2019)

PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - 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; et al. (npj Digit. Medicine, 2020)

Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. - 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; et al. (npj Digit. Medicine, 2020)