Search Results for author: Dave Van Veen

Found 8 papers, 4 papers with code

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

no code implementations8 Mar 2024 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

To enable the adaptation of LLMs for BHC synthesis, we introduce a novel benchmark consisting of a pre-processed dataset extracted from MIMIC-IV notes, encapsulating clinical note, and brief hospital course (BHC) pairs.

In-Context Learning

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

no code implementations22 Jan 2024 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 B. Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis Langlotz

However, developing FMs that can accurately interpret CXRs is challenging due to the (1) limited availability of large-scale vision-language datasets in the medical image domain, (2) lack of vision and language encoders that can capture the complexities of medical data, and (3) absence of evaluation frameworks for benchmarking the abilities of FMs on CXR interpretation.

Benchmarking Fairness +2

BACON: Band-limited Coordinate Networks for Multiscale Scene Representation

1 code implementation CVPR 2022 David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein

These networks are trained to map continuous input coordinates to the value of a signal at each point.

Compressed Sensing with Deep Image Prior and Learned Regularization

1 code implementation17 Jun 2018 Dave Van Veen, Ajil Jalal, Mahdi Soltanolkotabi, Eric Price, Sriram Vishwanath, Alexandros G. Dimakis

We propose a novel method for compressed sensing recovery using untrained deep generative models.

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