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Jean-Benoit Delbrouck
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2020 – today
- 2024
- [c14]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: 12902-12915 - [c13]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:
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!". BioNLP@ACL 2024: 85-98 - [c12]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:
GREEN: Generative Radiology Report Evaluation and Error Notation. EMNLP (Findings) 2024: 374-390 - [i27]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 abs/2401.12208 (2024) - [i26]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 abs/2405.03595 (2024) - [i25]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 abs/2405.19538 (2024) - [i24]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 abs/2406.06512 (2024) - [i23]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:
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!". CoRR abs/2409.16603 (2024) - 2023
- [c11]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: 469-484 - [c10]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: 449-460 - [c9]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: 478-482 - [c8]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: 22168-22178 - [c7]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 - [i22]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 abs/2305.01146 (2023) - [i21]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 abs/2308.11194 (2023) - [i20]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 abs/2309.07430 (2023) - 2022
- [c6]Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. 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: 23-34 - [c5]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: 4348-4360 - [c4]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 - [i19]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 abs/2203.14960 (2022) - [i18]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. CoRR abs/2210.12186 (2022) - [i17]Jean-Benoit Delbrouck, Maya Varma, Curtis P. Langlotz:
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities. CoRR abs/2211.08584 (2022) - [i16]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:
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. CoRR abs/2211.12737 (2022) - 2021
- [c3]Jean-Benoit Delbrouck, Cassie Zhang, Daniel L. Rubin:
QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization. BioNLP@NAACL-HLT 2021: 285-290 - [c2]Oliver Zhang, Jean-Benoit Delbrouck, Daniel L. Rubin:
Out of Distribution Detection for Medical Images. UNSURE/PIPPI@MICCAI 2021: 102-111 - 2020
- [i15]Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche, Stéphane Dupont:
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis. CoRR abs/2006.15955 (2020) - [i14]Jean-Benoit Delbrouck, Noé Tits, Stéphane Dupont:
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition. CoRR abs/2010.02057 (2020)
2010 – 2019
- 2019
- [i13]Jean-Benoit Delbrouck:
Modulated Self-attention Convolutional Network for VQA. ViGIL@NeurIPS 2019 - [i12]Jean-Benoit Delbrouck:
Can adversarial training learn image captioning ? ViGIL@NeurIPS 2019 - [i11]Jean-Benoit Delbrouck, Stéphane Dupont:
Adversarial reconstruction for Multi-modal Machine Translation. CoRR abs/1910.02766 (2019) - [i10]Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont:
Modulated Self-attention Convolutional Network for VQA. CoRR abs/1910.03343 (2019) - [i9]Jean-Benoit Delbrouck, Bastien Vanderplaetse, Stéphane Dupont:
Can adversarial training learn image captioning ? CoRR abs/1910.14609 (2019) - 2018
- [i8]Jean-Benoit Delbrouck:
Transformer for Emotion Recognition. CoRR abs/1805.02489 (2018) - [i7]Jean-Benoit Delbrouck, Stéphane Dupont:
UMONS Submission for WMT18 Multimodal Translation Task. CoRR abs/1810.06233 (2018) - [i6]Jean-Benoit Delbrouck, Stéphane Dupont:
Bringing back simplicity and lightliness into neural image captioning. CoRR abs/1810.06245 (2018) - [i5]Jean-Benoit Delbrouck, Stéphane Dupont:
Object-oriented Targets for Visual Navigation using Rich Semantic Representations. CoRR abs/1811.09178 (2018) - 2017
- [c1]Jean-Benoit Delbrouck, Stéphane Dupont
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. EMNLP 2017: 910-919 - [i4]Jean-Benoit Delbrouck, Stéphane Dupont:
Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation. CoRR abs/1703.08084 (2017) - [i3]Jean-Benoit Delbrouck, Stéphane Dupont:
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. CoRR abs/1707.00995 (2017) - [i2]Jean-Benoit Delbrouck, Stéphane Dupont, Omar Seddati:
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation. CoRR abs/1707.01009 (2017) - [i1]Jean-Benoit Delbrouck, Stéphane Dupont:
Modulating and attending the source image during encoding improves Multimodal Translation. CoRR abs/1712.03449 (2017)
Coauthor Index
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last updated on 2024-11-19 20:50 CET by the dblp team
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