publications

* indicates equal contribution

2025

  1. Paper
    Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study
    Hanss, K. E.,  Sarma, K. V., Glowinski, A. L., Krystal, A., Saunders, R., Halls, A. J. M., Gorrell, S., and Reilly, E.
    Journal of Medical Internet Research May 2025
    Link
  2. Panel
    Dr. AI Will See You Now: The Opportunities, Challenges, and Risks of ChatGPT, Gemini, and Other Large Language Models in Psychiatry
    Sarma, K. V., Hanss, K. E., Galatzer-Levy, I. R., and Tolou-Shams, M.
    In APA Annual Meeting 2025 May 2025
  3. Abs
    The Robo-Doctor is Always In: Assessing and Comparing the Psychiatric Diagnostic Capabilities of ChatGPT and other Large Language Models
    Sarma, K. V., Hanss, K. E., Glowinski, A. L., Krystal, A., Halls, A. J. M., and Butte, A. J.
    In APA Annual Meeting 2025 May 2025
  4. Conf
    From Apps to AI: The Emerging Landscape of Digital Mental Health Technology
    Sarma, K. V., and Hanss, K. E.
    In NCPS Annual Meeting 2025 May 2025
  5. Panel
    Saving Time with AI: Best Practices for Using ChatGPT and LLMs to Create Simulation Materials
    Polson, J. S.,  Sarma, K. V., Hanss, K. E., and Lockhart, C.
    In IMSH 2025 May 2025

2024

  1. Abs
    Can Large Language Model-based AI Reason about Behavioral Health? Preliminary Evaluation of a Decision Tree-Based LLM Algorithm for Psychiatric Case Diagnosis
    Sarma, K. V., Hanss, K. E., Glowinski, A. L., Krystal, A., Halls, A. J. M., and Butte, A. J.
    In ACNP 63rd Annual Meeting: Poster Abstracts P1-P304 May 2024
    Link
  2. Abs
    Improving the Performance of LLM-Based Semi-Automated Psychiatric Case Diagnosis using Decision Tree-Based Prompting
    Sarma, Karthik V, Hanss, Kaitlin E., Glowinski, Anne L., Butte, Atul J., and Halls, Andrew J. M.
    In American Medical Informatics Association Annual Meeting May 2024
  3. Panel
    The Ethics of Artificial Intelligence in Psychiatry: A Beginner’s Exploration
    He, C. X.,  Sarma, K. V., and Hu, R.
    In APA Mental Health Services Conference May 2024
  4. Conf
    Evaluation of a Novel Team-Based VR Curriculum for Advanced Resuscitative Care
    Polson, J. S., Barrie, M., Poppe, M., Dorsch, J. R., and Sarma, K. V.
    In Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) May 2024
  5. Abs
    Can Artificial Intelligence Make the Diagnosis? Evaluating the Accuracy of Large Language Models in Diagnosing Child and Adolescent Psychiatry Clinical Cases
    Hanss, K. E.,  Sarma, K. V., Halls, A. J. M., Gorrell, S., and Reilly, E.
    In American Academy of Child and Adolescent Psychiatry Annual Meeting May 2024
  6. Abs
    Can Artificial Intelligence Make the Diagnosis? Investigating Automated Psychiatric Case Diagnosis using Large Language Models
    Sarma, K. V., Hanss, K. E., and Halls, A.
    In Northern California Psychiatric Society Annual Meeting May 2024
  7. Abs
    Grading the Machine: Assessing ChatGPT’s Psychiatric Knowledge through Boards-Style Assessment
    Hanss, Kaitlin E*,  Sarma, Karthik V*, Saunders, Ramotse, and Elkin, David
    In American Psychiatric Association Annual Meeting May 2024
    Winner, 2024 APA Medical Student/Resident Poster Competition
  8. Panel
    2024 Ethics Panel - Ethics of Artificial Intelligence in Psychiatry: A Beginner’s Exploration
    He, C. X., Hu, R., Rogers, M., and Sarma, K. V.
    In Northern California Psychiatric Society Annual Meeting May 2024
  9. Abs
    Virtual Reality Casualty Evacuation (CASEVAC) Trainer: A Digital Transformation that Expands Training Opportunities to Manage Casualties Aboard Various Military Platforms
    Poppe, M., Dorsch, J. R., Barrie, M. G., Patel, N., Weiss, T. L., Tiyasirichokchai, J., Polson, J. S., Ribeira, R. J., and Sarma, K. V.
    In NATO Modelling and Simulation Group Symposium May 2024
  10. Conf
    Virtual Manikin Training: Complete Customizability to Provide Immersive Prolonged Casualty Care Simulation
    Poppe, M., Barrie, M. G., Dorsch, J. R., Patel, N., Polson, J. S., Weiss, T. L., Ribeira, R. J., and Sarma, K. V.
    In International Training Technology Exhibition and Conference (IT2EC) May 2024
  11. Abs
    A Wireless Non-networked Virtual Reality Solution for Intensive Care Training: Using Immersive Technology to Bring the Simulation Center to the Learner
    Barrie, M., Patel, N., Poppe, M., Polson, J., Carr, N., Tiyasirichokchai, J., Ribeira, R. J.,  Sarma, K. V., and Dorsch, J.
    In Society for Simulation in Europe Annual Meeting May 2024
  12. Abs
    Design and Implementation of a Novel Virtual Reality Medical Curriculum Utilizing Resuscitative Endoscopic Balloon Occlusion of the Aorta (REBOA)
    Poppe, M. A., Barrie, M., Patel, N., Dorsch, J., Ribeira, J., Weiss, T., Mallon, P., Carr, N., Polson, J., Ribeira, R. J., and Sarma, K. V.
    In Society for Simulation in Europe Annual Meeting May 2024
  13. Abs
    Virtualizing Complex Medical Equipment: Building a Functional Anesthesia Machine in VR
    Poppe, M. A., Barrie, M., Patel, N., Ribeira, J., Weiss, T., Mallon, P., Carr, N., Polson, J., Ribeira, R. J., and Sarma, K. V.
    In Society for Simulation in Europe Annual Meeting May 2024
  14. Panel
    Integrating Virtual Reality-based Clinical Simulation Training into Healthcare Training Programs
    Sarma, K. V., Culross, B., Brown, N. C., Patton, J., Belk, W. B., and Lockhart, C.
    In International Meeting on Simulation in Healthcare May 2024
  15. Conf
    Codebook VQ-VAE Approach for Prostate Cancer Diagnosis using Multiparametric MRI
    Redekop, Ekaterina, Pleasure, Mara, Wang, Zichen,  Sarma, Karthik V, Kinnaird, Adam, Speier, William, and Arnold, Corey W
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops Jun 2024
    Link
  16. Paper
    Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods
    Johnson, Latrice A., Harmon, Stephanie A., Yilmaz, Enis C., Lin, Yue, Belue, Mason J., Merriman, Katie M., Lay, Nathan S., Sanford, Thomas H.,  Sarma, Karthik V., Arnold, Corey W., Xu, Ziyue, Roth, Holger R., Yang, Dong, Tetreault, Jesse, Xu, Daguang, Patel, Krishnan R., Gurram, Sandeep, Wood, Bradford J., Citrin, Deborah E., Pinto, Peter A., Choyke, Peter L., and Turkbey, Baris
    Abdominal Radiology May 2024
    Link

2023

  1. Panel
    Integrating Virtual Reality-Based Medical Simulation Training into the Healthcare Enterprise
    Sarma, K. V., Brennan, A. M., Culross, B., Dorsch, J., and Belk, W.
    In Augmented World Expo USA May 2023
  2. Abs
    Virtual Reality-Based Manikin Simulation Training
    Poppe, M., Dorsch, J. R., Weiss, T. L., Andre, T., Barrie, M., Polson, J., Ribeira, R. J., and Sarma, K. V.
    In Australasian Military Medicine Association Conference May 2023
  3. Conf
    Virtual Reality-based Medical Simulation for Pre-Hospital Space Medicine Care: VALOR PHSMCC
    Sarma, K. V., Barrie, M., Dorsch, J. R., Carr, N., Patel, N., Poppe, M., Weiss, T. L., Polson, J., and Ribeira, R. J.
    In Interservice/Industry Training, Simulation, and Education Conference May 2023
  4. Abs
    Enabling Medical Mobility and CASEVAC during Future Large Scale Combat Operations
    Sarma, Karthik V, Barrie, Michael G, Carr, Nora, Dorsch, John R, Polson, Jennifer S, Lockhart, Cheryl C, and Ribeira, Ryan J
    In Military Health System Research Symposium May 2023
  5. Paper
    Integrating Battlefield Documentation into Virtual Reality Medical Simulation Training: Virtual Battlefield Assisted Trauma Distributed Observation Kit (BATDOK)
    Sarma, Karthik V, Barrie, Michael G, Dorsch, John R, Andre, Tanner W, Polson, Jennifer S, Ribeira, Rosie J, Andre, Tyler B, and Ribeira, Ryan J
    Military Medicine Nov 2023
    Link
  6. 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 Nov 2023
  7. 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 Nov 2023
  8. 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 Nov 2023
  9. 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 Nov 2023
    Link
  10. 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 Nov 2023
  11. 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) Nov 2023
  12. 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) Nov 2023
  13. 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 Nov 2023
  14. 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 Nov 2023
  15. 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 Nov 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 Nov 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 Nov 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 Nov 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 Nov 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 Nov 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) Nov 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 Nov 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 Nov 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