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

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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

   PDF Code Slides
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

   PDF

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

   PDF Poster
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

   PDF Project Page Video Poster

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

   PDF
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

   PDF Code

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

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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

   PDF Code Poster
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

   PDF

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

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