Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. - Louis Blankemeier; Isabel Gallegos; Juan Manuel Zambrano Chaves; David J. Maron; Alexander T. Sandhu; Fátima Rodriguez; Daniel L. Rubin; Bhavik N. Patel; Marc H. Willis; Robert D. Boutin; Akshay S. Chaudhari (MICCAI (8), 2022)

Interactive Span Recommendation for Biomedical Text. - Louis Blankemeier; Theodore Zhao; Robert Tinn; Sid Kiblawi; Yu Gu 017; Akshay Chaudhari; Hoifung Poon; Sheng Zhang 012; Mu Wei; Joseph Preston (ClinicalNLP@ACL, 2023)

Efficient Diagnosis Assignment Using Unstructured Clinical Notes. - Louis Blankemeier; Jason A. Fries; Robert Tinn; Joseph Preston; Nigam Shah; Akshay Chaudhari (ACL (2), 2023)

Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. - Louis Blankemeier; Arjun D. Desai; Juan Manuel Zambrano Chaves; Andrew Wentland; Sally Yao; Eduardo Pontes Reis; Malte E. K. Jensen; Bhanushree Bahl; Khushboo Arora; Bhavik N. Patel; Leon Lenchik; Marc H. Willis; et al. (CoRR, 2023)

Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. - Louis Blankemeier; Sebastien Baur; Wei-Hung Weng; Jake Garrison; Yossi Matias; Shruthi Prabhakara; Diego Ardila; Zaid Nabulsi (CoRR, 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)

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. - Scott L. Fleming; Alejandro Lozano; William J. Haberkorn; Jenelle A. Jindal; Eduardo Pontes Reis; Rahul Thapa; Louis Blankemeier; Julian Z. Genkins; Ethan Steinberg; Ashwin Nayak 002; Birju S. Patel; Chia-Chun Chiang; et al. (AAAI, 2024)

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)

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!". - Justin Xu; Zhihong Chen; Andrew Johnston; Louis Blankemeier; Maya Varma; Jason Hom; William J. Collins; Ankit Modi; Robert Lloyd; Benjamin Hopkins; Curtis P. Langlotz; Jean-Benoit Delbrouck (BioNLP@ACL, 2024)

GREEN: Generative Radiology Report Evaluation and Error Notation. - Sophie Ostmeier; Justin Xu; Zhihong Chen; Maya Varma; Louis Blankemeier; Christian Bluethgen; Arne Edward Michalson; Michael E. Moseley; Curtis P. Langlotz; Akshay Chaudhari; Jean-Benoit Delbrouck (EMNLP (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)

HeAR - Health Acoustic Representations. - Sebastien Baur; Zaid Nabulsi; Wei-Hung Weng; Jake Garrison; Louis Blankemeier; Sam Fishman; Christina Chen; Sujay Kakarmath; Minyoi Maimbolwa; Nsala Sanjase; Brian Shuma; Yossi Matias; et al. (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)

Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!". - Justin Xu; Zhihong Chen; Andrew Johnston; Louis Blankemeier; Maya Varma; Jason Hom; William J. Collins; Ankit Modi; Robert Lloyd; Benjamin Hopkins; Curtis P. Langlotz; Jean-Benoit Delbrouck (CoRR, 2024)

Foundation Models in Radiology: What, How, When, Why and Why Not. - Magdalini Paschali; Zhihong Chen; Louis Blankemeier; Maya Varma; Alaa Youssef; Christian Bluethgen; Curtis P. Langlotz; Sergios Gatidis; Akshay Chaudhari (CoRR, 2024)

Time-to-Event Pretraining for 3D Medical Imaging. - Zepeng Frazier Huo; Jason Alan Fries; Alejandro Lozano; Jeya Maria Jose Valanarasu; Ethan Steinberg; Louis Blankemeier; Akshay S. Chaudhari; Curtis P. Langlotz; Nigam Shah (ICLR, 2025)

Identifying Spurious Correlations using Counterfactual Alignment. - Joseph Paul Cohen; Louis Blankemeier; Akshay S. Chaudhari (Trans. Mach. Learn. Res., 2025)

Explaining 3D Computed Tomography Classifiers with Counterfactuals. - Joseph Paul Cohen; Louis Blankemeier; Akshay Chaudhari (CoRR, 2025)

MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders. - Maya Varma; Ashwin Kumar; Rogier van der Sluijs; Sophie Ostmeier; Louis Blankemeier; Pierre J. Chambon; Christian Bluethgen; Jip Prince; Curtis P. Langlotz; Akshay Chaudhari (CoRR, 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)