Jean-Benoit Delbrouck

59 papers A* 6Journal 39Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling.
CoRR
Chong Wang, Yabin Zhang, Yunhe Gao, Maya Varma, Clemence Mottez, Faidra Patsatzi, Jiaming Liu, Jin Long, Jean-Benoit Delbrouck, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz
2026 J jnl
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models.
CoRR
Yabin Zhang, Maya Varma, Yunhe Gao, Jean-Benoit Delbrouck, Jiaming Liu, Chong Wang, Curtis Langlotz
2026 J jnl
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision.
CoRR
Yunhe Gao, Yabin Zhang, Chong Wang, Jiaming Liu, Maya Varma, Jean-Benoit Delbrouck, Akshay Chaudhari, Curtis Langlotz
2025 — conf
Automated Structured Radiology Report Generation.
ACL (1)
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, Maya Varma, Curtis P. Langlotz
2025 J jnl
Automated Structured Radiology Report Generation.
CoRR
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, Maya Varma, Curt Langlotz
2025 J jnl
EchoGraph system for automated quality assessment of echocardiography reports.
npj Digit. Medicine
Chieh-Ju Chao, Jean-Benoit Delbrouck, Mohammad Asadi, Imon Banerjee, Juan Maria Farina, Francesca Galasso, Ahmed K. Mahmoud, Mohammed Tiseer Abbas, Yu-Chiang Wang, Reza Arsanjani, Garvan C. Kane, Jae K. Oh, Bradley J. Erickson, Li Fei-Fei, Ehsan Adeli, Curtis Langlotz
2025 J jnl
Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations.
CoRR
Johannes Moll, Markus M. Graf, Tristan Lemke, Nicolas Lenhart, Daniel Truhn, Jean-Benoit Delbrouck, Jiazhen Pan, Daniel Rueckert, Lisa C. Adams, Keno K. Bressem
2025 J jnl
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data.
CoRR
Stefania L. Moroianu, Christian Bluethgen, Pierre J. Chambon, Mehdi Cherti, Jean-Benoit Delbrouck, Magdalini Paschali, Brandon Price, Judy Gichoya, Jenia Jitsev, Curtis P. Langlotz, Akshay S. Chaudhari
2025 J jnl
Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods.
CoRR
Eva Prakash, Maayane Attias, Pierre J. Chambon, Justin Xu, Steven Q. H. Truong, Jean-Benoit Delbrouck, Tessa Sundaram Cook, Curtis Langlotz
2025 J jnl
Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports.
CoRR
Alois Thomas, Maya Varma, Jean-Benoit Delbrouck, Curtis P. Langlotz
2025 — conf
RadEval: A framework for radiology text evaluation.
EMNLP (System Demonstrations)
Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David W. Eyre, Jean-Benoit Delbrouck
2025 J jnl
RadEval: A framework for radiology text evaluation.
CoRR
Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David Eyre, Jean-Benoit Delbrouck
2025 J jnl
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning.
CoRR
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
2025 A* conf
Structuring Radiology Reports: Challenging LLMs with Lightweight Models.
EMNLP
Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Sergios Gatidis, Tim C. Lueth, Curtis Langlotz, Jean-Benoit Delbrouck
2025 J jnl
Structuring Radiology Reports: Challenging LLMs with Lightweight Models.
CoRR
Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Tim C. Lueth, Sergios Gatidis, Curtis P. Langlotz, Jean-Benoit Delbrouck
2025 J jnl
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models.
CoRR
Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier, Akshay Chaudhari, Curtis Langlotz
2024 J jnl
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.
CoRR
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, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz
2024 J jnl
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.
CoRR
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
2024 — conf
GREEN: Generative Radiology Report Evaluation and Error Notation.
EMNLP (Findings)
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
2024 J jnl
GREEN: Generative Radiology Report Evaluation and Error Notation.
CoRR
Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson, Michael E. Moseley, Curtis P. Langlotz, Akshay S. Chaudhari, Jean-Benoit Delbrouck
2024 J jnl
Merlin: A Vision Language Foundation Model for 3D Computed Tomography.
CoRR
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, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari
2024 J jnl
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!".
CoRR
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
2024 — conf
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!".
BioNLP@ACL
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
2024 A* conf
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models.
NeurIPS
Maya Varma, Jean-Benoit Delbrouck, Zhihong Chen, Akshay Chaudhari, Curtis P. Langlotz
2024 J jnl
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models.
CoRR
Maya Varma, Jean-Benoit Delbrouck, Zhihong Chen, Akshay Chaudhari, Curtis P. Langlotz
2024 — conf
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports.
ACL (Findings)
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
2023 J jnl
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.
CoRR
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, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari
2023 — conf
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization.
BioNLP@ACL
Jean-Benoit Delbrouck, Maya Varma, Pierre J. Chambon, Curtis P. Langlotz
2023 A* conf
RaLEs: a Benchmark for Radiology Language Evaluations.
NeurIPS
Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel L. Rubin, Andreas M. Loening, Curtis P. Langlotz, Akshay Chaudhari
2023 — conf
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models.
BioNLP@ACL
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
2023 J jnl
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models.
CoRR
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 S. Chaudhari, John M. Pauly
2023 — conf
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities.
ACL (2)
Zhihong Chen, Maya Varma, Xiang Wan, Curtis P. Langlotz, Jean-Benoit Delbrouck
2023 A* conf
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data.
ICCV
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
2023 J jnl
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data.
CoRR
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
2022 A* conf
Domino: Discovering Systematic Errors with Cross-Modal Embeddings.
ICLR
Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022 J jnl
Domino: Discovering Systematic Errors with Cross-Modal Embeddings.
CoRR
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022 — conf
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.
EMNLP (Findings)
Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz
2022 J jnl
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.
CoRR
Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz
2022 J jnl
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation.
CoRR
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
2022 J jnl
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities.
CoRR
Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz
2022 — conf
ViLMedic: a framework for research at the intersection of vision and language in medical AI.
ACL (demo)
Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz
2021 — conf
Out of Distribution Detection for Medical Images.
UNSURE/PIPPI@MICCAI
Oliver Zhang, Jean-Benoit Delbrouck, Daniel L. Rubin
2021 — conf
QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization.
BioNLP@NAACL-HLT
Jean-Benoit Delbrouck, Cassie Zhang, Daniel L. Rubin
2020 J jnl
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis.
CoRR
Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche, Stéphane Dupont
2020 J jnl
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition.
CoRR
Jean-Benoit Delbrouck, Noé Tits, Stéphane Dupont
2019 J jnl
Adversarial reconstruction for Multi-modal Machine Translation.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont
2019 — conf
Can adversarial training learn image captioning ?
ViGIL@NeurIPS
Jean-Benoit Delbrouck
2019 J jnl
Can adversarial training learn image captioning ?
CoRR
Jean-Benoit Delbrouck, Bastien Vanderplaetse, Stéphane Dupont
2019 — conf
Modulated Self-attention Convolutional Network for VQA.
ViGIL@NeurIPS
Jean-Benoit Delbrouck
2019 J jnl
Modulated Self-attention Convolutional Network for VQA.
CoRR
Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont
2018 J jnl
Bringing back simplicity and lightliness into neural image captioning.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont
2018 J jnl
Object-oriented Targets for Visual Navigation using Rich Semantic Representations.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont
2018 J jnl
Transformer for Emotion Recognition.
CoRR
Jean-Benoit Delbrouck
2018 J jnl
UMONS Submission for WMT18 Multimodal Translation Task.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont
2017 A* conf
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation.
EMNLP
Jean-Benoit Delbrouck, Stéphane Dupont
2017 J jnl
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont
2017 J jnl
Modulating and attending the source image during encoding improves Multimodal Translation.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont
2017 J jnl
Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont
2017 J jnl
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation.
CoRR
Jean-Benoit Delbrouck, Stéphane Dupont, Omar Seddati