publications

* indicates equal contribution

2023

  1. Abs
    Increasing the flexibility of virtual reality-based medical simulation training through dynamically reconfigurable patient and scenario states: Virtual Manikins
    Sarma, Karthik V, Barrie, Michael G, Ribeira, Jason R, Polson, Jennifer S, and Ribeira, Ryan J
    In Society for Simulation in Europe Annual Meeting (SESAM) 2023 2023
  2. Abs
    Virtual Reality Simulation Meets a Need to Train Knowledge, Skills and Abilities for Aeromedical Transport with a Novel Training Platform
    Barrie, Michael G, Patel, Nilesh, Poppe, Michael, Polson, Jennifer S, Ribeira, Ryan J, and Sarma, Karthik V
    In Society for Simulation in Europe Annual Meeting (SESAM) 2023 2023
  3. Abs
    Employing Virtual Reality for Medical Simulation Training
    Poppe, Michael, Barrie, Michael G, Patel, Nilesh, Polson, Jennifer S, Ribeira, Ryan J, and Sarma, Karthik V
    In Society for Simulation in Europe Annual Meeting (SESAM) 2023 2023
  4. Paper
    Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology
    Rajagopal, Abhejit, Redekop, Ekaterina, Kemisetti, Anil, Kulkarni, Rushikesh, Raman, Steven,  Sarma, Karthik, Magudia, Kirti, Arnold, Corey W., and Larson, Peder E.Z.
    Academic Radiology 2023
    Link
  5. abs
    Virtual Advancement of Learning for Operational Readiness in the Prehospital Setting (VALOR-PS): A Prospective, Controlled Multi-Center Trial of Virtual Reality and High Fidelity Manikin Simulation Across the Roles of Care
    Sarma, Karthik V., Barrie, Michael, Dorsch, John R., Weiss, Talia L., Ribeira, Jason R, Polson, Jennifer S., Andre, Tyler, Crowe, Edward H, Cox, Daniel, Fales, William, and Ribeira, Ryan J.
    In IMSH Research Study Development and Presentation Program 2023
  6. Conf
    Virtual Simulation for Unconventional Warfare Medicine
    Sarma, Karthik V, Dorsch, John R, Barrie, Michael G, and Ribeira, Ryan J
    In International Training Technology Exhibition and Conference (IT2EC) 2023
  7. Conf
    Maintaining CBRNE Medical Readiness with VR
    Barrie, Michael G, Patel, Nilesh, Weiss, Talia L, Poppe, Michael, Polson, Jennifer S, Dorsch, John R, Ribeira, Ryan J, and Sarma, Karthik V
    In International Training Technology Exhibition and Conference (IT2EC) 2023
  8. Conf
    Integrated Learner Assessment for Readiness Tracking within Virtual Reality Medical Simulation
    Poppe, Michael, Dorsch, John R, Weiss, Talia L, Andre, Tyler, Barrie, Michael G, Polson, Jennifer S, Ribeira, Ryan J, and Sarma, Karthik V
    In MODSIM World 2023 2023
  9. Conf
    Implementation of a Proof-of-Concept Virtual Reality Medical Simulation Training Capability for USAF Pararescuemen
    Polson, Jennifer S, Dorsch, John R, Weiss, Talia L, Andre, Tyler, Barrie, Michael G, Ribeira, Ryan J, and Sarma, Karthik V
    In MODSIM World 2023 2023
  10. Paper
    Development and Pilot Evaluation of a Virtual Reality Healthcare Simulation Curriculum for Nursing Education: SLS with VR
    Sarma, Karthik V., Parikh, Nikita, Bambini, Deborah, Barakat, Sharifa, Pohlman, Heidi, Malmgren, Lauren, Carr, Nora, Chan, Crystal, Limberg, Sriranjani, Weiss, Talia L., Ribeira, Jason R, Polson, Jennifer S., Barrie, Michael, Andre, Tyler, Namperumal, Srihari K, and Ribeira, Ryan J.
    In Technical Proceedings of the International Meeting on Simulation in Healthcare 2023

2022

  1. Conf
    Virtual Advancement of Learning for Operational Readiness with Non-Collocated Cross-Role Medical Simulation Training
    Sarma, Karthik V., Barrie, Michael G., Dorsch, John R., Weiss, Talia L., Ribeira, Jason R., Polson, Jennifer S., and Ribeira, Ryan J.
    In NATO MSG-197 Symposium 2022
    Link
  2. Paper
    Virtual Advancement of Learning for Operational Readiness: Implementation and Transition of a VR Medical Simulation Capability for TCCC Responders
    Sarma, Karthik V., Barrie, Michael, Dorsch, John R., Weiss, Talia L., Ribeira, Jason R, Polson, Jennifer S., Namperumal, Srihari K, and Ribeira, Ryan J.
    In Interservice/Industry Training, Simulation, and Education Conference 2022
  3. Abs
    Distributed, Fully-Immersive VR Medical Simulation Training for Team-Based Care
    Sarma, Karthik V., Dorsch, John R., Ribeira, Jason R, Weiss, Talia L., Polson, Jennifer S., Andre, Tyler, Barrie, Michael, and Ribeira, Ryan J.
    In iFEST 2022
  4. Abs
    Integrating Battlefield Documentation into Virtual Reality Medical Simulation Training: Virtual BATDOK
    Sarma, Karthik V., Barrie, Michael, Dorsch, John R., Ribeira, Jason R, Polson, Jennifer S., Andre, Tyler, and Ribeira, Ryan J.
    In Military Health System Research Symposium 2022
  5. Abs
    VR Medical Simulation Training for Canine Tactical Combat Casualty Care: C-TCCC
    Sarma, Karthik V., Barrie, Michael, Andre, Tanner, and Ribeira, Ryan J.
    In DHA Working Dog Research Forum 2022
  6. Conf
    XR Medical Simulation Training for the Future of Warfare: The Virtual Advancement of Learning for Operational Readiness (VALOR) Program
    Sarma, Karthik V., Barrie, Michael, Dorsch, John R., Weiss, Talia L., Polson, Jennifer S., and Ribeira, Ryan J.
    In International Training Technology Exhibition and Conference (IT2EC) 2022
    Winner, Best Paper, IT2EC 2022
  7. Abs
    Enabling Flexible Medical Simulation Training for Emergency Medical Services using Virtual Reality
    Sarma, Karthik V, Polson, Jennifer S., Young, Brian, Barrie, Michael, Andre, Tyler, and Ribeira, Ryan
    In Annual Meeting of the Society for Simulation in Europe 2022
    Finalist, Best Short Communication, SESAM 2022
  8. Paper
    Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning
    Redekop, Ekaterina,  Sarma, Karthik V, Kinnaird, Adam, Sisk, Anthony, Raman, Steven S, Marks, Leonard S, Speier, William, and Arnold, Corey W
    In Medical Imaging with Deep Learning 2022
    Link

2021

  1. Paper
    Federated learning improves site performance in multicenter deep learning without data sharing
    Sarma, Karthik V, Harmon, Stephanie, Sanford, Thomas, Roth, Holger R, Xu, Ziyue, Tetreault, Jesse, Xu, Daguang, Flores, Mona G, Raman, Alex G, Kulkarni, Rushikesh, Wood, Bradford J, Choyke, Peter L, Priester, Alan M, Marks, Leonard S, Raman, Steven S, Enzmann, Dieter, Turkbey, Baris, Speier, William, and Arnold, Corey W
    Journal of the American Medical Informatics Association Feb 2021
    Link
  2. Paper
    Optimizing Spatial Biopsy Sampling for the Detection of Prostate Cancer
    Raman, Alex G*,  Sarma, Karthik V*, Raman, Steven S., Priester, Alan M., Mirak, Sohrab Afshari, Riskin-Jones, Hannah H., Dhinagar, Nikhil, Speier, William, Felker, Ely, Sisk, Anthony E., Lu, David, Kinnaird, Adam, Reiter, Robert E., Marks, Leonard S., and Arnold, Corey W.
    Journal of Urology Apr 2021
    Link
  3. Paper
    Harnessing clinical annotations to improve deep learning performance in prostate segmentation
    Sarma, Karthik V., Raman, Alex G., Dhinagar, Nikhil J., Priester, Alan M., Harmon, Stephanie, Sanford, Thomas, Mehralivand, Sherif, Turkbey, Baris, Marks, Leonard S., Raman, Steven S., Speier, William, and Arnold, Corey W.
    PLOS ONE Jun 2021
    Link

2020

  1. Conf
    AI for Prostate: Detection and Grading of Prostate Cancer on Multiparametric MRI
    Sarma, Karthik V., Raman, Alex G., Wang, Zichen, Dhinagar, Nikhil J., Speier, William, and Arnold, Corey W.
    In Informatics Technology for Cancer Research (ITCR) Jun 2020
  2. Paper
    A domain-level DNA strand displacement reaction enumerator allowing arbitrary non-pseudoknotted secondary structures
    Badelt, Stefan, Grun, Casey,  Sarma, Karthik V., Wolfe, Brian, Shin, Seung Woo, and Winfree, Erik
    Journal of The Royal Society Interface Jun 2020
    Link
  3. Paper
    Semi-automated PIRADS scoring via mpMRI analysis
    Dhinagar, Nikhil J., Speier, William,  Sarma, Karthik V., Raman, Alex, Kinnaird, Adam, Raman, Steven S., Marks, Leonard S., and Arnold, Corey W.
    Journal of Medical Imaging Dec 2020
    Link
  4. Abs
    Data-Distributed Deep Learning using Federated Learning: A Case Study
    Sarma, Karthik V., Harmon, Stephanie A., Sanford, Thomas H., Roth, Holger R, Flores, Mona G, Kulkarni, Rushikesh, Wood, Bradford J., Choyke, Peter L., Raman, Steven S., Enzmann, Dieter R., Turkbey, Baris, Speier, William, and Arnold, Corey W
    In Annual Meeting of the Radiological Society of North America Dec 2020
    Winner, 2020 RSNA Trainee Research Award in Medical Informatics

2019

  1. Abs
    MP78-04 PREDICTING PROSTATE CANCER FOCAL THERAPY ELIGIBILITY WITH MACHINE LEARNING
    Zhou, Steve, Priester, Alan, Jayadevan, Rajiv, Yang, Jason, Johnson, David, Raman, Alex,  Sarma, Karthik V., Arnold, Corey, Ballon, Jorge, Natarajan, Shyam, and Marks, Leonard
    The Journal of Urology Apr 2019
    Link
  2. Paper
    Estimating the health-related quality of life of Twitter users using semantic processing
    Sarma, K.V. Karthik V., Spiegel, Brennan M.R. B.M.R., Reid, M.W. Mark W., Chen, Shawn, Merchant, R.M. Raina M., Seltzer, Emily, and Arnold, C.W. Corey W.
    In Studies in Health Technology and Informatics Aug 2019
    Link
  3. Paper
    Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images
    Ho, King Chung, Scalzo, Fabien,  Sarma, Karthik V., Speier, William, El-Saden, Suzie, and Arnold, Corey
    Journal of Medical Imaging May 2019
    Link
  4. Paper
    Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images
    Li, Wenyuan, Li, Jiayun,  Sarma, Karthik V., Ho, King Chung, Shen, Shiwen, Knudsen, Beatrice S., Gertych, Arkadiusz, and Arnold, Corey W.
    IEEE Transactions on Medical Imaging Apr 2019
    Link

2018

  1. Abs
    Estimating Health-Related Quality of Life of Twitter Users: Methods for Semantic Processing of Social Media Posts
    Sarma, Karthik V., Spiegel, B.M.R., Reid, Mark W., Chen, Shawn, Merchant, Raina M., Seltzer, Emily, and Arnold, Corey W.
    In AMIA Annual Symposium Proceedings Apr 2018
  2. Abs
    Prediction of Clinically Significant Prostate Cancer in MR/Ultrasound Guided Fusion Biopsy using Multiparametric MRI
    Shi, Wen,  Sarma, Karthik V, Raman, Alex G, Priester, Alan M, Natarajan, Shyam, Speier, William, Raman, Steven S, Marks, Leonard S, and Arnold, Corey W
    In Medical Imaging Meets NeurIPS Workshop Apr 2018
  3. Abs
    Can We Estimate the Health-Related Quality of Life of Twitter Users Using Tweets? A Feasibility Study
    Sarma, Karthik V, Spiegel, Brennan M R, Reid, Mark W, Chen, Shawn, Merchant, Raina M, Seltzer, Emily, and Arnold, Corey W
    In Machine Learning for Health at NeurIPS Apr 2018
  4. Paper
    An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies
    Li, Jiayun, Speier, William, Ho, King Chung,  Sarma, Karthik V., Gertych, Arkadiusz, Knudsen, Beatrice S., and Arnold, Corey W.
    Computerized Medical Imaging and Graphics Sep 2018
    Link
  5. Paper
    Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies
    Garcia-Gathright, J.I., Matiasz, N.J., Adame, C., Sarma, K.V., Sauer, L., Smedley, N.F., Spiegel, M.L., Strunck, J., Garon, E.B., Taira, R.K., Aberle, D.R., and Bui, A.A.T.
    Computers in Biology and Medicine Sep 2018
    Link

2017

  1. Paper
    A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies
    Li, Jiayun,  Sarma, Karthik V., Chung Ho, King, Gertych, Arkadiusz, Knudsen, Beatrice S., and Arnold, Corey W.
    In AMIA Annual Symposium Proceedings Sep 2017
    Link

2016

  1. Abs
    An Investigational Patch-based Convolutional Neural Network Model for the Detection of Clinically Significant Prostate Cancer using Multiparametric MRI
    Sarma, Karthik V, Zhong, Xinran, Ho, King Chung, Margolis, Daniel, Raman, Steven, Scalzo, Fabien, Sung, Kyung Hyun, Tan, Nelly, and Arnold, Corey
    In 2016 Annual Meeting of the Radiological Society of North America Sep 2016
    Winner, 2016 RSNA Trainee Research Award in Medical Informatics
  2. Paper
    A Temporal Deep Learning Approach for MR Perfusion Parameter Estimation in Stroke
    Ho, King Chung, Scalzo, Fabien,  Sarma, Karthik V, El-Saden, Suzie, and Arnold, Corey W
    In 23rd International Conference on Pattern Recognition Sep 2016
    Link
  3. Abs
    A Novel Bi-Input Convolutional Neural Network for Deconvolution-Free Estimation of Stroke MR Perfusion Parameters
    Ho, King Chung, Scalzo, Fabien,  Sarma, Karthik V, El-Saden, Suzie, Bui, Alex A T, and Arnold, Corey W
    In 2016 Annual Meeting of the Radiological Society of North America Sep 2016
  4. Abs
    Development of a Deep Learning Model for the Detection of Prostate Cancer using MRI
    Sarma, Karthik V, Zhong, Xinran, Ho, King Chung, Margolis, Daniel J A, Raman, Steven, Scalzo, Fabian, Sung, Kyung Hyun, Tan, Nelly, and Arnold, Corey W
    In Gordon Research Conference in Advanced Health Informatics Sep 2016

2015

  1. Paper
    Patient Portal Preferences: Perspectives on Imaging Information.
    McNamara, Mary, Arnold, Corey,  Sarma, Karthik, Aberle, Denise, Garon, Edward, and Bui, Alex A T
    Journal of the Association for Information Science and Technology Aug 2015
    Link
  2. Paper
    Imaging-histologic discordance at percutaneous biopsy of the lung.
    Oh, Andrea S, Arnold, Corey W, Vangala, Sitaram, Wallace, W Dean, Genshaft, Scott J,  Sarma, Karthik, and Aberle, Denise R
    Academic Radiology Apr 2015
    Link

2014

  1. Paper
    Data Model for Personalized Patient Health Guidelines: An Exploratory Study
    McNamara, Mary,  Sarma, Karthik, Aberle, Denise R., Bui, Alex A.T., and Arnold, Corey
    AMIA Annual Symposium Proceedings Jan 2014
    Link
  2. Paper
    A domain-level DNA strand displacement reaction enumerator allowing arbitrary non-pseudoknotted secondary structures
    Grun, Casey,  Sarma, Karthik, Wolfe, Brian, Shin, Seung Woo, and Winfree, Erik
    In Verification of Engineered Molecular Devices and Programs Jul 2014
    Link

2013

  1. Paper
    Clinical Uncertainties, Health Service Challenges, and Ethical Complexities of HIV "Test-and-Treat": A Systematic Review.
    Kulkarni, Sonali P, Shah, Kavita R,  Sarma, Karthik V, and Mahajan, Anish P
    American Journal of Public Health Apr 2013
    Link