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; et al. (CoRR, 2020)

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 (MLMIR@MICCAI, 2021)

Bacon: Band-limited Coordinate Networks for Multiscale Scene Representation. - David B. Lindell; Dave Van Veen; Jeong Joon Park; Gordon Wetzstein (CVPR, 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)

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 (BioNLP@ACL, 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; et al. (CoRR, 2023)

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. - Jean-Benoit Delbrouck; Pierre J. Chambon; Zhihong Chen; Maya Varma; Andrew Johnston; Louis Blankemeier; Dave Van Veen; Tan Bui; Steven Quoc Hung Truong; Curtis P. Langlotz (ACL (Findings), 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; et al. (CoRR, 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)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; et al. (CoRR, 2024)

Detecting Underdiagnosed Medical Conditions with Deep Learning-Based Opportunistic CT Imaging. - Asad Aali; Andrew Johnston; Louis Blankemeier; Dave Van Veen; Laura T. Derry; David Svec; Jason Hom; Robert D. Boutin; Akshay S. Chaudhari (CoRR, 2024)

Best Practices for Large Language Models in Radiology. - Christian Bluethgen; Dave Van Veen; Cyril Zakka; Katherine Link; Aaron Fanous; Roxana Daneshjou; Thomas Frauenfelder; Curtis P. Langlotz; Sergios Gatidis; Akshay Chaudhari (CoRR, 2024)

A dataset and benchmark for hospital course summarization with adapted large language models. - 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 (J. Am. Medical Informatics Assoc., 2025)

ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs. - Anthony A. Gatti; Louis Blankemeier; Dave Van Veen; Brian A. Hargreaves; Scott L. Delp; Garry E. Gold; Feliks Kogan; Akshay S. Chaudhari (IEEE Trans. Medical Imaging, 2025)