publications

2024

  1. Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
    D. Van Veen ,  C. Van Uden ,  L. Blankemeier ,  J.B. Delbrouck ,  A. Aali ,  C. Bluethgen ,  A. Pareek ,  M. Polacin ,  E.P. Reis ,  A. Seehofnerova ,  N. Rohatgi ,  P. Hosamani ,  W. Collins ,  N. Ahuja ,  C.P. Langlotz ,  J. Hom ,  S. Gatidis ,  J. Pauly ,  and  A.S. Chaudhari
    Nature Medicine, 2024
    PDF Code Poster Project page
  2. Merlin: A Vision Language Foundation Model for 3D Computed Tomography
    L. Blankemeier ,  J.P. Cohen ,  A. Kumar ,  D. Van Veen ,  S.J.S. Gardezi ,  M. Paschali ,  Z. Chen ,  J.B. Delbrouck ,  E.P. Reis ,  C. Truyts ,  C. Bluethgen ,  M. Engmann ,  J. Kjeldskov ,  S. Ostmeier ,  M. Varma ,  J.M.J. Valanarasu ,  Z. Fang ,  Z. Huo ,  Z. Nabulsi ,  D. Ardila ,  W. Weng ,  E. Amarao ,  N. Ahuja ,  J. Fries ,  N. Shah ,  A. Johnston ,  R.D. Boutin ,  A. Wentland ,  C.P. Langlotz ,  J. Hom ,  S. Gatidis ,  and  A.S. Chaudhari
    arXiv, 2024
    PDF
  3. CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation
    Z. Chen ,  M. Varma ,  J.B. Delbrouck ,  M. Paschali ,  L. Blankemeier ,  D. Van Veen ,  J.M.J. Valanarasu ,  A. Youssef ,  J.P. Cohen ,  E.P. Reis ,  E.B. Tsai ,  A. Johnston ,  C. Olsen ,  T.M. Abraham ,  S. Gatidis ,  A.S. Chaudhari ,  and  C.P. Langlotz
    arXiv, 2024
    PDF Model Demo Code Project page
  4. Missing Wedge Completion via Unsupervised Learning with Coordinate Networks
    D. Van Veen ,  J. Galaz-Montoya ,  L. Shen ,  P. Baldwin ,  A.S. Chaudhari ,  D. Lyumkis ,  M.F. Schmid ,  W. Chiu ,  and  J. Pauly
    International Journal of Molecular Sciences, 2024
    PDF
  5. ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs
    A. Gatti ,  L. Blankemeier ,  D. Van Veen ,  B. Hargreaves ,  S.L. Delp ,  G.E. Gold ,  F. Kogan ,  and  A.S. Chaudhari
    medRxiv, 2024
    PDF Model Code
  6. A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries
    A. Aali ,  D. Van Veen ,  Y.I. Arefeen ,  J. Hom ,  C. Bluethgen ,  E.P. Reis ,  S. Gatidis ,  N. Clifford ,  J. Daws ,  A.S. Tehrani ,  J. Kim ,  and  A.S. Chaudhari
    arXiv, 2024
    PDF
  7. Neural Shape Models Meaningfully Localize Features Relevant to Osteoarthritis Disease: Data from the Osteoarthritis Initiative
    A. Gatti ,  L. Blankemeier ,  D. Van Veen ,  B. Hargreaves ,  S. Delp ,  F. Kogan ,  G. Gold ,  and  A.S. Chaudhari
    In The International Society for Magnetic Resonance in Medicine (ISMRM) , 2024

2023

  1. RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
    D.* Van Veen ,  C.* Van Uden ,  M. Attias ,  A. Pareek ,  C. Bluethgen ,  M. Polacin ,  W. Chiu ,  J.B. Delbrouck ,  J.M.Z. Chaves ,  C.P. Langlotz ,  A.S. Chaudhari ,  and  J. Pauly
    In Association for Computational Linguistics (ACL) - BioNLP , 2023
    PDF Code Slides Project page
  2. Neural Shape Representations Predit Knee Pain Better than Conventional Shape Models
    A. Gatti ,  D. Van Veen ,  G. Gold ,  S. Delp ,  and  A.S. Chaudhari
    In The International Society for Magnetic Resonance in Medicine (ISMRM) , 2023
    PDF

2022

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

2021

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

2020

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

2018

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