publications

2022

  1. Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks
    VanVeen, D., vanderSluijs, R., Ozturkler, B., Desai, A., Bluethgen, C., Boutin, R., Willis, M., Wetzstein, G., Lindell, D., Vasanawala, S., Pauly, J., and Chaudhari, A. S.
    In MIDL (short) 2022
  2. BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation
    Lindell, D., VanVeen, D., Park, J.J., and Wetzstein, G.
    In CVPR 2022

2021

  1. Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging
    VanVeen, D., Duffy, B., Wang, L., Datta, K., Zhang, T., Zaharchuk, G., and Gong, E.
    In Medical Image Computing and Computer Assisted Intervention (MICCAI) - Machine Learning for Medical Imaging Reconstruction (MLMIR) Workshop 2021
  2. Using Untrained Convolutional Neural Networks to Accelerate MRI in 2D and 3D
    VanVeen, D., Desai, A., Heckel, R., and Chaudhari, A. S.
    In The International Society for Magnetic Resonance in Medicine (ISMRM) 2021

2020

  1. Compressed Sensing with Deep Image Prior and Learned Regularization
    VanVeen, D., Jalal, A., Soltanolkotabi, M., Price, E., Vishwanath, S., and Dimakis, A. G.
    arXiv preprint arXiv:1806.06438 2020
  2. Design Considerations for High Impact, Automated Echocardiogram Analysis
    Toussaint, W., VanVeen, D., Irwin, C., and Y. Nachmany, et al.
    In International Conference of Machine Learning (ICML) - Global Health Workshop 2020
  3. Implementing Compressed Sensing with Deep Image Prior to Reconstruct Undersampled Dynamic Contrast-Enhanced MRI Data of the Breast
    Slavkova, K., DiCarlo, J. C., VanVeen, D., Syed, A. K., Jalal, A., Virostko, J., Sorace, A. G., Dimakis, A. G., and Yankeelov, T. E.
    In The International Society for Magnetic Resonance in Medicine (ISMRM) 2020

2018

  1. Compressed Sensing Recovery of Medical Images using Deep Image Prior
    VanVeen, D., Jalal, A., M., , Price, E., Vishwanath, S., and Dimakis, A. G.
    In Neural Information Processing Systems (NeurIPS) - MedNeurIPS Workshop 2018