Jean-Benoit Delbrouck

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Emotion Recognition

Semantic Representations

Machine Translation

Digitally Reconstructed Radiographs

Top Venues

Publications

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
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR (2024)
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
GREEN: Generative Radiology Report Evaluation and Error Notation. CoRR (2024)
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
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. ACL (Findings) (2024)
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
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR (2024)
Pierre J. Chambon, Jean-Benoit Delbrouck, Thomas Sounack, Shih-Cheng Huang, Zhihong Chen, Maya Varma, Steven QH Truong, Chu The Chuong, Curtis P. Langlotz
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats. CoRR (2024)
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
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. CoRR (2023)
Zhihong Chen, Maya Varma, Xiang Wan, Curtis P. Langlotz, Jean-Benoit Delbrouck
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities. ACL (2) (2023)
Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel L. Rubin, Andreas M. Loening, Curtis P. Langlotz, Akshay Chaudhari
RaLEs: a Benchmark for Radiology Language Evaluations. NeurIPS (2023)
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. ICCV (2023)
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
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. CoRR (2023)
Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. CoRR (2023)
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
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. BioNLP@ACL (2023)
Jean-Benoit Delbrouck, Maya Varma, Pierre J. Chambon, Curtis P. Langlotz
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization. BioNLP@ACL (2023)
Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. EMNLP (Findings) (2022)
Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) (2022)
Pierre 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
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. CoRR (2022)
Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR (2022)
Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR (2022)
Oliver Zhang, Jean-Benoit Delbrouck, Daniel L. Rubin
Out of Distribution Detection for Medical Images. UNSURE/PIPPI@MICCAI (2021)
Jean-Benoit Delbrouck, Cassie Zhang, Daniel L. Rubin
QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization. BioNLP@NAACL-HLT (2021)
Jean-Benoit Delbrouck, Noé Tits, Stéphane Dupont
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition. CoRR (2020)
Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche, Stéphane Dupont
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis. CoRR (2020)
Jean-Benoit Delbrouck
Can adversarial training learn image captioning ? ViGIL@NeurIPS (2019)
Jean-Benoit Delbrouck, Bastien Vanderplaetse, Stéphane Dupont
Can adversarial training learn image captioning ? CoRR (2019)
Jean-Benoit Delbrouck
Modulated Self-attention Convolutional Network for VQA. ViGIL@NeurIPS (2019)
Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont
Modulated Self-attention Convolutional Network for VQA. CoRR (2019)
Jean-Benoit Delbrouck, Stéphane Dupont
Adversarial reconstruction for Multi-modal Machine Translation. CoRR (2019)
Jean-Benoit Delbrouck, Stéphane Dupont
Bringing back simplicity and lightliness into neural image captioning. CoRR (2018)
Jean-Benoit Delbrouck, Stéphane Dupont
Object-oriented Targets for Visual Navigation using Rich Semantic Representations. CoRR (2018)
Jean-Benoit Delbrouck
Transformer for Emotion Recognition. CoRR (2018)
Jean-Benoit Delbrouck, Stéphane Dupont
UMONS Submission for WMT18 Multimodal Translation Task. CoRR (2018)
Jean-Benoit Delbrouck, Stéphane Dupont
Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation. CoRR (2017)
Jean-Benoit Delbrouck, Stéphane Dupont
Modulating and attending the source image during encoding improves Multimodal Translation. CoRR (2017)
Jean-Benoit Delbrouck, Stéphane Dupont
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. CoRR (2017)
Jean-Benoit Delbrouck, Stéphane Dupont, Omar Seddati
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation. CoRR (2017)
Jean-Benoit Delbrouck, Stéphane Dupont
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. EMNLP (2017)