I am a Postdoctoral Fellow in the Dept. of Radiology and Biomedical Imaging at UCSF working with Peder Larson and Thomas Hope. I am a deep learning expert, and my research involves designing robust machine learning algorithms for image reconstruction and classification of MRI, PET, CT, SPECT, LIDAR, and radar. My current work and funding is focused on prostate cancer imaging, recognition, and radiotherapy planning, and has broad applicability to other organ systems. My foundational work is focused on understanding and quantifying the generalization properties of deep networks.

I also hold part-time appointments at the San Francisco VA Medical Center (Staff Researcher), Toyon Research Corp. (Senior Analyst, RF Signal Processing), and Ziteo Medical Inc. (Director of Imaging), where I am translating solutions for high resolution intelligence in defense and healthcare.

I'm on the job market this year, please reach out if you are interested!

Current Appointments

UCSF logo Postdoctoral Fellow (2019-Present)
Department of Radiology and Biomedical Imaging, University of California, San Francisco

SFVAMC logo Staff Researcher - (2021-Present)
San Francisco Veterans' Affairs Medical Center

Toyon logo Senior Analyst - (2021-Present)
Toyon Research

Ziteo logo Director of Imaging - (2021-Present)
Ziteo Medical

Experience

UCSB logo Graduate Student Researcher - 2014-2019
Scientific Computing Group, University of California, Santa Barbara

Toyon logo Analyst - 2017-2021
ISR Algorithms Group, Toyon Research

Toyon logo Research Intern - 2015-2017
ISR Algorithms Group, Toyon Research

Akela logo Research Intern - Summer 2015
Akela Inc.

NeuralAnalytics logo Consultant - 2014 - 2016
Neural Analytics (now NovaSignal)

UCLA logo Researcher - 2014 - 2016
Staba Lab, Department of Neurology, University of California, Los Angeles

UCLA logo Research Assistant - 2013 - 2014
Neurovascular Imaging Research Core, University of California, Los Angeles

UCLA logo Research Assistant - 2013 - 2014
Integrated NanoMaterials Core Lab, University of California, Los Angeles

Education

UCSB logoPh.D., Electrical and Computer Engineering (2014-2019)
University of California, Santa Barbara
Advisor: Dr. Shivkumar Chandrasekaran
Thesis: High-Dimensional Polynomial Approximation with Applications in Imaging and Recognition

UCSB logoM.S., Electrical and Computer Engineering (2014-2016)
University of California, Santa Barbara
Advisor: Dr. Shivkumar Chandrasekaran

UCLA logoB.S., Electrical Engineering (2010-2014)
University of California, Los Angeles
Advisor: Dr. Diana L. Huffaker

Publications   [Scholar]

Under Review

  1. Predicting Generalization of CNNs Without Labels   
    A. Rajagopal, V.C Madala, T.A. Hope, P.E.Z. Larson
    under review, December 2021.
  2. A Privacy-Optimizing Streaming Data Architecture   
    D. Dangwal, A. Rajagopal, A.G. Glova, R. Gretsch, P. Jain, J. Balkind, and T. Sherwood
    under review, November 2021
  3. Generation of synthetic megavoltage CT for MRI-only radiotherapy treatment planning using a 3D deep convolutional neural network   
    J. Scholey, A. Rajagopal, E. Vasquez, A. Sudhyadhom, P.E.Z. Larson
    under review, November 2021.
  4. Synthetic PET via Domain Translation of 3D MRI   
    A. Rajagopal, Y. Natsuaki, K. Wangerin, M. Hamdi, R. Laforest, H. An, P.E. Kinahan, J.J. Sunderland, T.A. Hope, P.E.Z. Larson
    under review, October 2021.
  5. Lesion Insertion Tool to Assess PET-MR Attenuation Correction Methods: Matched Contralateral and Localized Uptake Lesion Insertions in Pelvis PET-MR Data   
    R. Laforest, M. Khaligi, Y. Natsuaki, , D. Chandramohan, D. Byrd, H. An, P.E.Z Larson, S.S. James, J.J. Sunderland, P.E. Kinahan, T.A. Hope Y. Natsuaki, A.P. Leynes, K. Wangerin, M. Hamdi, A. Rajagopal, P.E. Kinahan, R. Laforest, P.E.Z. Larson, T.A. Hope, S. St. James
    under review, January 2021.

Refereed Conference Papers

  1. Understanding and Visualizing Generalization in UNets   
    A. Rajagopal V.C Madala, T.A. Hope, and P.E.Z. Larson
    Medical Imaging with Deep Learning (MIDL '21)
  2. Enhanced PET/MRI Reconstruction via Dichromatic Interpolation of Domain-Translated Zero-Dose PET   
    A. Rajagopal, N. Dwork, T.A. Hope, and P.E.Z.Larson
    SPIE Medical Imaging: Physics of Medical Imaging (SPIE-MI '21)
  3. DeepOSM-3D: recognition in aerial LiDAR RGBD imagery   
    A. Rajagopal, W. Nelson, N. Stier, S. Chandrasekaran, and A.P. Brown
    SPIE Defense and Commercial Sensing: Geospatial Informatics (SPIE-DCS '20)
  4. Remote Heart Monitoring via Medical Telemetry   
    V.R. Radzicki, A. Rajagopal, and H. Lee
    International Telemetry Conference (ITC '19)
  5. Towards deep iterative-reconstruction algorithms for computed tomography (CT/SPECT) applications   
    A. Rajagopal, N. Stier, J. Dey, M.A. King, and S. Chandrasekaran
    SPIE Medical Imaging: Physics of Medical Imaging (SPIE-MI '19)
  6. Fast Algorithms for Displacement and Low-Rank Structured Matrices   
    S. Chandrasekaran, N. Govindarajan, and A. Rajagopal
    2018 ACM International Symposium on Symbolic and Algebraic Computation (ISSAC '18)
  7. Towards non-invasive electrocardiographic imaging using regularized neural networks   
    A. Rajagopal, V.R. Radzicki, H. Lee, and S. Chandrasekaran
    SPIE Medical Imaging: Physics of Medical Imaging (SPIE-MI '18)
  8. Tracking Information in RaDAR Image Formation and Classification Algorithms   
    A. Rajagopal, V.R. Radzicki, S. Chandrasekaran, and H. Lee
    International Telemetry Conference (ITC '17)
  9. A machine learning pipeline for automated registration and classification of 3D LiDAR data   
    A. Rajagopal, V.R. Radzicki, S. Chandrasekaran, and H. Lee
    SPIE Defense and Commercial Sensing: Geospatial Informatics (SPIE-DCS '17)
  10. High-efficiency nanopillar solar cells employing wide-bandgap surface recombination barrier   
    G. Mariani, M. Haddad, A. Rajagopal, and D.L. Huffaker
    SPIE Photonics West

Journal Papers

  1. A Harmonization of PET image Reconstruction HyperParameters in Simultaneous PET/MRI   
    R. Laforest, M. Khaligi, Y. Natsuaki, A. Rajagopal, D. Chandramohan, D. Byrd, H. An, P.E.Z Larson, S.S. James, J.J. Sunderland, P.E. Kinahan, T.A. Hope
    European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI) Physics, September 2021.
  2. A Path to Qualification of PET/MR Scanners for Multicenter Brain Imaging Studies: Evaluation of MR-based Attenuation Correction Methods Using a Patient Phantom   
    C. Ciprian, H. An, F. Boada, T. Cao, D. Faul, B. Jakoby, F. Jansen, B.J. Kemp, P.E. Kinahan, P.E.Z. Larson, M.A. Levine, P. Maniawski, O. Mawlawi, J.E. McConathy, A. McMillan, J. Price, A. Rajagopal, J. Sunderland, P. Veit-Haibach, K.A. Wangerin, C. Ying, T.A. Hope
    Journal of Nuclear Medicine, July 2021.
  3. Nonlinear electrocardiographic imaging using polynomial approximation networks   
    A. Rajagopal, V.R. Radzicki, H. Lee, and S. Chandrasekaran
    APL Bioengineering, October 2018.
  4. Fast indefinite multi-point clustering   
    S. Chandrasekaran and A. Rajagopal
    Calcolo, April 2016.
  5. Noise reduction in intracranial pressure signal using causal shape manifolds   
    A. Rajagopal, R. Hamilton, and F. Scalzo
    Biomedical Signal Processing and Control, March 2016.
  6. Plasmonic field confinement for separate absorption-multiplication in InGaAs nanopillar avalanche photodiodes   
    A. Farrell, P. Senanayake, CH. Hung, G. El-howayek, A. Rajagopal, M. Currie, M. Hayat, and D.L. Huffaker
    Scientific Reports, December 2015.

Funding

  • Pilot Project, Benioff Initiative for Prostate Cancer Research, Principal Investigator (with J.Scholey), $50K, (Aug 2021 - present), "AI-assisted Targeted Prostate Radiotherapy"

  • NIH/NIBIB F32 Fellowship, Principal Investigator, $138K, (Dec 2020 - present), "Multi-modal and Extreme PET/MRI Reconstruction Methods"

  • DoD/SBIR Phase-I, SCO 182-008, Principal Investigator, $225K, (Dec 2018 - Jun 2019), "Maritime Target Classification from Inverse Synthetic Aperture Radar (ISAR) Using Machine Learning"

  • DoD/STTR Phase-I, N18B-T033, Principal Investigator, $125K, (Oct 2018 - Apr 2019), "Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence"

  • DoD/SBIR Phase-II AF161-138, Principal Investigator, $750K, (Nov 2017 - Feb 2020), "Cognitive Processing and Exploitation of 3D Laser Imaging Detection and Ranging (LIDAR) Imagery Data"

Abhejit Rajagopal