Dave Van Veen

According to our database, Dave Van Veen authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries.

Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen, Jason Hom, Christian Bluethgen, Eduardo Pontes Reis, Sergios Gatidis, Namuun Clifford, Joseph Daws, Arash S. Tehrani, Jangwon Kim, Akshay S. Chaudhari

CoRR, 2024

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, 2024

2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.

Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari

CoRR, 2023

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models.

Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay Chaudhari, John M. Pauly

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks.

Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun D. Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David B. Lindell, Shreyas Vasanawala, John M. Pauly, Akshay S. Chaudhari

CoRR, 2022

Bacon: Band-limited Coordinate Networks for Multiscale Scene Representation.

David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging.

Dave Van Veen, Ben A. Duffy, Long Wang, Keshav Datta, Tao Zhang, Greg Zaharchuk, Enhao Gong

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020

Design Considerations for High Impact, Automated Echocardiogram Analysis.

Wiebke Toussaint, Dave Van Veen, Courtney Irwin, Yoni Nachmany, Manuel Barreiro-Pérez, Elena Díaz-Peláez, Sara Guerreiro de Sousa, Liliana Millán, Pedro L. Sánchez, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Pedro Ignacio Dorado-Díaz, Víctor Vicente-Palacios

CoRR, 2020