Jean-Benoit Delbrouck

According to our database, Jean-Benoit Delbrouck authored at least 37 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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, 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

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 QH Truong, Chu The Chuong, Curtis P. Langlotz

CoRR, 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 S. Chaudhari, Jean-Benoit Delbrouck

CoRR, 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, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz

CoRR, 2024

GREEN: Generative Radiology Report Evaluation and Error Notation.

Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Md, Michael E. Moseley, Curtis P. Langlotz, Akshay Chaudhari, Jean-Benoit Delbrouck

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 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

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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.

Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz

CoRR, 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, Christopher Ré

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ViLMedic: a framework for research at the intersection of vision and language in medical AI.

Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Out of Distribution Detection for Medical Images.

Oliver Zhang, Jean-Benoit Delbrouck, Daniel L. Rubin

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization.

Jean-Benoit Delbrouck, Cassie Zhang, Daniel L. Rubin

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020

Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition.

Jean-Benoit Delbrouck, Noé Tits, Stéphane Dupont

CoRR, 2020

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis.

Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche, Stéphane Dupont

CoRR, 2020

2019

Can adversarial training learn image captioning ?

Jean-Benoit Delbrouck, Bastien Vanderplaetse, Stéphane Dupont

CoRR, 2019

Modulated Self-attention Convolutional Network for VQA.

Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont

CoRR, 2019

Adversarial reconstruction for Multi-modal Machine Translation.

Jean-Benoit Delbrouck, Stéphane Dupont

CoRR, 2019

Can adversarial training learn image captioning ?

Jean-Benoit Delbrouck

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Modulated Self-attention Convolutional Network for VQA.

Jean-Benoit Delbrouck

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

2018

Object-oriented Targets for Visual Navigation using Rich Semantic Representations.

Jean-Benoit Delbrouck, Stéphane Dupont

CoRR, 2018

Bringing back simplicity and lightliness into neural image captioning.

Jean-Benoit Delbrouck, Stéphane Dupont

CoRR, 2018

UMONS Submission for WMT18 Multimodal Translation Task.

Jean-Benoit Delbrouck, Stéphane Dupont

CoRR, 2018

Transformer for Emotion Recognition.

Jean-Benoit Delbrouck

CoRR, 2018

2017

Modulating and attending the source image during encoding improves Multimodal 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

Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation.

Jean-Benoit Delbrouck, Stéphane Dupont

CoRR, 2017

An empirical study on the effectiveness of images in Multimodal Neural Machine Translation.

Jean-Benoit Delbrouck, Stéphane Dupont

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017