An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. - Jean-Benoit Delbrouck; Stéphane Dupont (EMNLP, 2017)

Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation. - Jean-Benoit Delbrouck; Stéphane Dupont (CoRR, 2017)

Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation. - Jean-Benoit Delbrouck; Stéphane Dupont; Omar Seddati (CoRR, 2017)

Modulating and attending the source image during encoding improves Multimodal Translation. - Jean-Benoit Delbrouck; Stéphane Dupont (CoRR, 2017)

Transformer for Emotion Recognition. - Jean-Benoit Delbrouck (CoRR, 2018)

UMONS Submission for WMT18 Multimodal Translation Task. - Jean-Benoit Delbrouck; Stéphane Dupont (CoRR, 2018)

Bringing back simplicity and lightliness into neural image captioning. - Jean-Benoit Delbrouck; Stéphane Dupont (CoRR, 2018)

Object-oriented Targets for Visual Navigation using Rich Semantic Representations. - Jean-Benoit Delbrouck; Stéphane Dupont (CoRR, 2018)

Modulated Self-attention Convolutional Network for VQA. - Jean-Benoit Delbrouck (ViGIL@NeurIPS, 2019)

Can adversarial training learn image captioning ? - Jean-Benoit Delbrouck (ViGIL@NeurIPS, 2019)

Adversarial reconstruction for Multi-modal Machine Translation. - Jean-Benoit Delbrouck; Stéphane Dupont (CoRR, 2019)

Modulated Self-attention Convolutional Network for VQA. - Jean-Benoit Delbrouck; Antoine Maiorca; Nathan Hubens; Stéphane Dupont (CoRR, 2019)

Can adversarial training learn image captioning ? - Jean-Benoit Delbrouck; Bastien Vanderplaetse; Stéphane Dupont (CoRR, 2019)

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis. - Jean-Benoit Delbrouck; Noé Tits; Mathilde Brousmiche; Stéphane Dupont (CoRR, 2020)

Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition. - Jean-Benoit Delbrouck; Noé Tits; Stéphane Dupont (CoRR, 2020)

QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization. - Jean-Benoit Delbrouck; Cassie Zhang; Daniel L. Rubin (BioNLP@NAACL-HLT, 2021)

Out of Distribution Detection for Medical Images. - Oliver Zhang; Jean-Benoit Delbrouck; Daniel L. Rubin (UNSURE/PIPPI@MICCAI, 2021)

ViLMedic: a framework for research at the intersection of vision and language in medical AI. - Jean-Benoit Delbrouck; Khaled Saab 002; Maya Varma; Sabri Eyuboglu; Pierre J. Chambon; Jared Dunnmon; Juan Zambrano; Akshay Chaudhari; Curtis P. Langlotz (ACL (demo), 2022)

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)

Domino: Discovering Systematic Errors with Cross-Modal Embeddings. - Sabri Eyuboglu; Maya Varma; Khaled Kamal Saab; Jean-Benoit Delbrouck; Christopher Lee-Messer; Jared Dunnmon; James Zou 001; Christopher Ré (ICLR, 2022)

Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. - Jean-Benoit Delbrouck; Maya Varma; Curtis P. Langlotz (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)

Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities. - Zhihong Chen; Maya Varma; Xiang Wan; Curtis P. Langlotz; Jean-Benoit Delbrouck (ACL (2), 2023)

Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization. - Jean-Benoit Delbrouck; Maya Varma; Pierre J. Chambon; Curtis P. Langlotz (BioNLP@ACL, 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 (BioNLP@ACL, 2023)

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. - Maya Varma; Jean-Benoit Delbrouck; Sarah M. Hooper; Akshay Chaudhari; Curtis P. Langlotz (ICCV, 2023)

RaLEs: a Benchmark for Radiology Language Evaluations. - Juanma Zambrano Chaves; Nandita Bhaskhar; Maayane Attias; Jean-Benoit Delbrouck; Daniel L. Rubin; Andreas M. Loening; Curtis P. Langlotz; Akshay Chaudhari (NeurIPS, 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)

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)

RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models. - Maya Varma; Jean-Benoit Delbrouck; Zhihong Chen; Akshay Chaudhari; Curtis P. Langlotz (NeurIPS, 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)

CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats. - Pierre J. Chambon; Jean-Benoit Delbrouck; Thomas Sounack; Shih-Cheng Huang; Zhihong Chen; Maya Varma; Steven Q. H. Truong; Chu The Chuong; Curtis P. Langlotz (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)

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)

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)

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)

Structuring Radiology Reports: Challenging LLMs with Lightweight Models. - Johannes Moll; Louisa Fay; Asfandyar Azhar; Sophie Ostmeier; Tim Lueth; Sergios Gatidis; Curtis P. Langlotz; Jean-Benoit Delbrouck (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)