Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. - Jean-Benoit Delbrouck; Pierre J. Chambon; Christian Bluethgen; Emily Bao Tsai; Omar Almusa; Curtis P. Langlotz (EMNLP (Findings), 2022)

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains. - Pierre J. Chambon; Christian Bluethgen; Curtis P. Langlotz; Akshay Chaudhari (CoRR, 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)

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. - Pierre J. Chambon; Christian Bluethgen; Jean-Benoit Delbrouck; Rogier van der Sluijs; Malgorzata Polacin; Juan Manuel Zambrano Chaves; Tanishq Mathew Abraham; Shivanshu Purohit; Curtis P. Langlotz; Akshay 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)

GenerateCT: Text-Guided 3D Chest CT Generation. - Ibrahim Ethem Hamamci; Sezgin Er; Enis Simsar; Alperen Tezcan; Ayse Gulnihan Simsek; Furkan Almas; Sevval Nil Esirgun; Hadrien Reynaud; Sarthak Pati; Christian Bluethgen; Bjoern H. Menze (CoRR, 2023)

Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification. - Cara Van Uden; Christian Bluethgen; Maayane Attias; Malgorzata Polacin; Haiwei Henry Guo; Neha Simha; Rishi Raj; Curtis P. Langlotz (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)

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. - Tianyu Han; Laura Zigutyte; Luisa Huck; Marc Huppertz; Robert Siepmann; Yossi Gandelsman; Christian Blüthgen; Firas Khader; Christiane Kuhl; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2023)

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes. - Ibrahim Ethem Hamamci; Sezgin Er; Anjany Sekuboyina; Enis Simsar; Alperen Tezcan; Ayse Gulnihan Simsek; Sevval Nil Esirgun; Furkan Almas; Irem Dogan; Muhammed Furkan Dasdelen; Chinmay Prabhakar; Hadrien Reynaud; et al. (ECCV (79), 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)

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)

Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback. - Dennis Hein; Zhihong Chen; Sophie Ostmeier; Justin Xu; Maya Varma; Eduardo Pontes Reis; Arne Edward Michalson; Christian Bluethgen; Hyun Joo Shin; Curtis P. Langlotz; Akshay S. Chaudhari (CoRR, 2024)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. - Eva Prakash; Jeya Maria Jose Valanarasu; Zhihong Chen; Eduardo Pontes Reis; Andrew Johnston; Anuj Pareek; Christian Bluethgen; Sergios Gatidis; Cameron Olsen; Akshay Chaudhari; Andrew Y. Ng; Curtis P. Langlotz (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)

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)

Automated Structured Radiology Report Generation. - Jean-Benoit Delbrouck; Justin Xu; Johannes Moll; Alois Thomas; Zhihong Chen; Sophie Ostmeier; Asfandyar Azhar; Kelvin Zhenghao Li; Andrew Johnston; Christian Bluethgen; Eduardo Pontes Reis; Mohamed S. Muneer; et al. (ACL (1), 2025)

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback. - Dennis Hein; Zhihong Chen; Sophie Ostmeier; Justin Xu; Maya Varma; Eduardo Pontes Reis; Arne Edward Michalson; Christian Bluethgen; Hyun Joo Shin; Curtis P. Langlotz; Akshay S. Chaudhari (ACL (1), 2025)

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)

RadVLM: A Multitask Conversational Vision-Language Model for Radiology. - Nicolas Deperrois; Hidetoshi Matsuo; Samuel Ruipérez-Campillo; Moritz Vandenhirtz; Sonia Laguna; Alain Ryser; Koji Fujimoto; Mizuho Nishio; Thomas M. Sutter; Julia E. Vogt; Jonas Kluckert; Thomas Frauenfelder; et al. (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)

Automated Structured Radiology Report Generation. - Jean-Benoit Delbrouck; Justin Xu; Johannes Moll; Alois Thomas; Zhihong Chen; Sophie Ostmeier; Asfandyar Azhar; Kelvin Zhenghao Li; Andrew Johnston; Christian Bluethgen; Eduardo Pontes Reis; Mohamed Muneer; et al. (CoRR, 2025)

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning. - Melanie Rieff; Maya Varma; Ossian Rabow; Subathra Adithan; Julie Kim; Ken Chang; Hannah Lee; Nidhi Rohatgi; Christian Bluethgen; Mohamed S. Muneer; Jean-Benoit Delbrouck; Michael Moor (CoRR, 2025)

Expert-level validation of AI-generated medical text with scalable language models. - Asad Aali; Vasiliki Bikia; Maya Varma; Nicole Chiou; Sophie Ostmeier; Arnav Singhvi; Magdalini Paschali; Ashwin Kumar; Andrew Johnston; Karimar Amador-Martinez; Eduardo Juan Perez Guerrero; Paola Naovi Cruz Rivera; et al. (CoRR, 2025)