publications

2023

  1. Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
    Van Veen, D., Van Uden, C., Blankemeier, L., Delbrouck, J.B., Aali, A., Bluethgen, C., Pareek, A., Polacin, M., Collins, W., Ahuja, N., Langlotz, C.P., Hom, J., Gatidis, S., Pauly, J., and Chaudhari, A.S.
    arXiv preprint arXiv:2309.07430 2023
  2. RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
    Van Veen, D.*, Van Uden, C.*, Attias, M., Pareek, A., Bluethgen, C., Polacin, M., Chiu, W., Delbrouck, J.B., Chaves, J.M.Z., Langlotz, C.P., Chaudhari, A.S., and Pauly, J.
    In Association for Computational Linguistics (ACL) - BioNLP 2023
  3. Neural Shape Representations Predit Knee Pain Better than Conventional Shape Models
    Gatti, A., Van Veen, D., Gold, G., Delp, S., and Chaudhari, A.S.
    In The International Society for Magnetic Resonance in Medicine (ISMRM) 2023

2022

  1. Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks
    Van Veen, D., van der Sluijs, R., Ozturkler, B., Desai, A., Bluethgen, C., Boutin, R., Willis, M., Wetzstein, G., Lindell, D., Vasanawala, S., Pauly, J., and Chaudhari, A.S.
    In Medical Imaging with Deep Learning (MIDL) 2022
  2. BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation
    Lindell, D., Van Veen, D., Park, J.J., and Wetzstein, G.
    In Computer Vision and Pattern Recognition (CVPR) 2022

2021

  1. Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging
    Van Veen, D., Duffy, B., Wang, L., Datta, K., Zhang, T., Zaharchuk, G., and Gong, E.
    In Medical Image Computing and Computer Assisted Intervention (MICCAI) - MLMIR 2021
  2. Using Untrained Convolutional Neural Networks to Accelerate MRI in 2D and 3D
    Van Veen, 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
    Van Veen, 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., Van Veen, D., Irwin, C., and Y. Nachmany, et al.
    In International Conference of Machine Learning (ICML) - ML for Global Health 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., Van Veen, 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
    Van Veen, D., Jalal, A., M., , Price, E., Vishwanath, S., and Dimakis, A. G.
    In Neural Information Processing Systems (NeurIPS) - MedNeurIPS 2018