PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon, Chute, Chris, Ball, Robyn L., Borus, Norah, Huang, Andrew, Patel, Bhavik N., Rajpurkar, Pranav, Irvin, Jeremy, Dunnmon, Jared, Bledsoe, Joseph, Shpanskaya, Katie, Dhaliwal, Abhay, Zamanian, Roham, Ng, Andrew Y., Lungren, Matthew P.
Published in NPJ digital medicine (24.04.2020)
Published in NPJ digital medicine (24.04.2020)
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Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer’s disease
Sohn, Dongwha, Shpanskaya, Katie, Lucas, Joseph E., Petrella, Jeffrey R., Saykin, Andrew J., Tanzi, Rudolph E., Samatova, Nagiza F., Doraiswamy, P. Murali
Published in Scientific reports (10.05.2018)
Published in Scientific reports (10.05.2018)
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Attention-guided deep learning for gestational age prediction using fetal brain MRI
Shen, Liyue, Zheng, Jimmy, Lee, Edward H., Shpanskaya, Katie, McKenna, Emily S., Atluri, Mahesh G., Plasto, Dinko, Mitchell, Courtney, Lai, Lillian M., Guimaraes, Carolina V., Dahmoush, Hisham, Chueh, Jane, Halabi, Safwan S., Pauly, John M., Xing, Lei, Lu, Quin, Oztekin, Ozgur, Kline-Fath, Beth M., Yeom, Kristen W.
Published in Scientific reports (26.01.2022)
Published in Scientific reports (26.01.2022)
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Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth
Murphy, Kelly R., Landau, Susan M., Choudhury, Kingshuk Roy, Hostage, Christopher A., Shpanskaya, Katie S., Sair, Haris I., Petrella, Jeffrey R., Wong, Terence Z., Doraiswamy, P. Murali
Published in NeuroImage (Orlando, Fla.) (01.09.2013)
Published in NeuroImage (Orlando, Fla.) (01.09.2013)
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Automated abnormality detection in lower extremity radiographs using deep learning
Varma, Maya, Lu, Mandy, Gardner, Rachel, Dunnmon, Jared, Khandwala, Nishith, Rajpurkar, Pranav, Long, Jin, Beaulieu, Christopher, Shpanskaya, Katie, Fei-Fei, Li, Lungren, Matthew P., Patel, Bhavik N.
Published in Nature machine intelligence (01.12.2019)
Published in Nature machine intelligence (01.12.2019)
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Journal Article
Educational attainment and hippocampal atrophy in the Alzheimer's disease neuroimaging initiative cohort
Shpanskaya, Katie S, Choudhury, Kingshuk Roy, Hostage, Christopher, Murphy, Kelly R, Petrella, Jeffrey R, Doraiswamy, P. Murali
Published in Journal of neuroradiology (01.12.2014)
Published in Journal of neuroradiology (01.12.2014)
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Journal Article
Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon, Chute, Chris, Ball, Robyn L., Borus, Norah, Huang, Andrew, Patel, Bhavik N., Rajpurkar, Pranav, Irvin, Jeremy, Dunnmon, Jared, Bledsoe, Joseph, Shpanskaya, Katie, Dhaliwal, Abhay, Zamanian, Roham, Ng, Andrew Y., Lungren, Matthew P.
Published in NPJ digital medicine (28.07.2020)
Published in NPJ digital medicine (28.07.2020)
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Toward Personalized Network Biomarkers in Alzheimer's Disease: Computing Individualized Genomic and Protein Crosstalk Maps
Padmanabhan, Kanchana, Shpanskaya, Katie, Bello, Gonzalo, Doraiswamy, P Murali, Samatova, Nagiza F
Published in Frontiers in aging neuroscience (26.09.2017)
Published in Frontiers in aging neuroscience (26.09.2017)
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Journal Article
Impact of 18F-florbetapir PET imaging of β-amyloid neuritic plaque density on clinical decision-making
Zannas, Anthony S., Doraiswamy, P. Murali, Shpanskaya, Katie S., Murphy, Kelly R., Petrella, Jeffrey R., Burke, James R., Wong, Terence Z.
Published in Neurocase (01.08.2014)
Published in Neurocase (01.08.2014)
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L, Irvin, Jeremy, Park, Allison, Jones, Erik, Bereket, Michael, Patel, Bhavik N, Yeom, Kristen W, Shpanskaya, Katie, Halabi, Safwan, Zucker, Evan, Fanton, Gary, Amanatullah, Derek F, Beaulieu, Christopher F, Riley, Geoffrey M, Stewart, Russell J, Blankenberg, Francis G, Larson, David B, Jones, Ricky H, Langlotz, Curtis P, Ng, Andrew Y, Lungren, Matthew P
Published in PLoS medicine (27.11.2018)
Published in PLoS medicine (27.11.2018)
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L, Zhu, Kaylie, Yang, Brandon, Mehta, Hershel, Duan, Tony, Ding, Daisy, Bagul, Aarti, Langlotz, Curtis P, Patel, Bhavik N, Yeom, Kristen W, Shpanskaya, Katie, Blankenberg, Francis G, Seekins, Jayne, Amrhein, Timothy J, Mong, David A, Halabi, Safwan S, Zucker, Evan J, Ng, Andrew Y, Lungren, Matthew P
Published in PLoS medicine (20.11.2018)
Published in PLoS medicine (20.11.2018)
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Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
Park, Allison, Chute, Chris, Rajpurkar, Pranav, Lou, Joe, Ball, Robyn L, Shpanskaya, Katie, Jabarkheel, Rashad, Kim, Lily H, McKenna, Emily, Tseng, Joe, Ni, Jason, Wishah, Fidaa, Wittber, Fred, Hong, David S, Wilson, Thomas J, Halabi, Safwan, Basu, Sanjay, Patel, Bhavik N, Lungren, Matthew P, Ng, Andrew Y, Yeom, Kristen W
Published in JAMA network open (05.06.2019)
Published in JAMA network open (05.06.2019)
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MRI Radiogenomics of Pediatric Medulloblastoma: A Multicenter Study
Zhang, Michael, Wong, Samuel W, Wright, Jason N, Wagner, Matthias W, Toescu, Sebastian, Han, Michelle, Tam, Lydia T, Zhou, Quan, Ahmadian, Saman S, Shpanskaya, Katie, Lummus, Seth, Lai, Hollie, Eghbal, Azam, Radmanesh, Alireza, Nemelka, Jordan, Harward, 2nd, Stephen, Malinzak, Michael, Laughlin, Suzanne, Perreault, Sébastien, Braun, Kristina R M, Lober, Robert M, Cho, Yoon Jae, Ertl-Wagner, Birgit, Ho, Chang Y, Mankad, Kshitij, Vogel, Hannes, Cheshier, Samuel H, Jacques, Thomas S, Aquilina, Kristian, Fisher, Paul G, Taylor, Michael, Poussaint, Tina, Vitanza, Nicholas A, Grant, Gerald A, Pfister, Stefan, Thompson, Eric, Jaju, Alok, Ramaswamy, Vijay, Yeom, Kristen W
Published in Radiology (01.08.2022)
Published in Radiology (01.08.2022)
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Deep Learning for Automated Classification of Inferior Vena Cava Filter Types on Radiographs
Ni, Jason C., Shpanskaya, Katie, Han, Michelle, Lee, Edward H., Do, Bao H., Kuo, William T., Yeom, Kristen W., Wang, David S.
Published in Journal of vascular and interventional radiology (01.01.2020)
Published in Journal of vascular and interventional radiology (01.01.2020)
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Comorbidity Remission Following Intragastric Dual Balloon Placement
Khoury, Habib, Shpanskaya, Katie, Lapiche, Francine, Morton, John
Published in Surgery for obesity and related diseases (01.10.2017)
Published in Surgery for obesity and related diseases (01.10.2017)
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A5329 - Comorbidity Remission Following Intragastric Dual Balloon Placement
Khoury, Habib, Shpanskaya, Katie, Lapiche, Francine, Morton, John
Published in Surgery for obesity and related diseases (01.10.2017)
Published in Surgery for obesity and related diseases (01.10.2017)
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Does Preoperative Insulin Resistance Affect the Outcomes of Bariatric Surgery?
Shpanskaya, Katie, Khoury, Habib, Azagury, Dan, Rivas, Homero, Morton, John
Published in Surgery for obesity and related diseases (01.10.2017)
Published in Surgery for obesity and related diseases (01.10.2017)
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A5316 - Does Preoperative BMI Level Affect Outcomes of Bariatric Surgery?
Khoury, Habib, Shpanskaya, Katie, Azagury, Dan, Rivas, Homero, Morton, John
Published in Surgery for obesity and related diseases (01.10.2017)
Published in Surgery for obesity and related diseases (01.10.2017)
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Journal Article
A5317 - Does Preoperative Insulin Resistance Affect the Outcomes of Bariatric Surgery?
Shpanskaya, Katie, Khoury, Habib, Azagury, Dan, Rivas, Homero, Morton, John
Published in Surgery for obesity and related diseases (01.10.2017)
Published in Surgery for obesity and related diseases (01.10.2017)
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