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Question answering (QA) in the field of healthcare has received much attention due to significant advancements in natural language processing.
A history of the origin, evolution, and impact of electrocardiography
W Bruce Fye · 1994
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Use of the electrocardiogram in acute myocardial infarction
Peter J Zimetbaum and Mark E Josephson · 2003
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An uncertainty reasoning method for abnormal ecg detection
Li-ping Wang, Mi Shen, Jia-fei Tong, and Jun Dong · 2009
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh · 2015
Earlier work this paper cites.
The risk factors and prevention of cardiovascular disease: the importance of electrocardiogram in the diagnosis and treatment of acute coronary syndrome
Anna Rosiek and Krzysztof Leksowski · 2016
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Scp-ecg v3. 0: An enhanced standard communication protocol for computer-assisted electrocardiography
Paul Rubel, Danilo Pani, Alois Schloegl, Jocelyne Fayn, Fabio Badilini, Peter W Macfarlane, and Alpo Varri · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
Earlier work this paper cites.
Visual7w: Grounded question answering in images
Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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R-vqa: learning visual relation facts with semantic attention for visual question answering
Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, and Jianyong Wang · 2018
Cited alongside, same era.
emrqa: A large corpus for question answering on electronic medical records
Anusri Pampari, Preethi Raghavan, Jennifer Liang, and Jian Peng · 2018
Cited alongside, same era.
Gqa: A new dataset for real-world visual reasoning and compositional question answering
Drew A Hudson and Christopher D Manning · 2019
Cited alongside, same era.
Squeeze-and-excitation wide residual networks in image classification
Xian Zhong, Oubo Gong, Wenxin Huang, Lin Li, and Hongxia Xia · 2019
Cited alongside, same era.
Towards visual dialog for radiology
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David Beymer Beymer, Anna Rumshisky, and Vandana Mukherjee Mukherjee · 2020
Cited alongside, same era.
Classification of ecg using ensemble of residual cnns with attention mechanism
Petr Nejedly, Adam Ivora, Radovan Smisek, Ivo Viscor, Zuzana Koscova, Pavel Jurak, and Filip Plesinger · 2021
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Will two do? varying dimensions in electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021
Matthew Reyna, Nadi Sadr, Annie Gu, Erick Andres Perez Alday, Chengyu Liu, Salman Seyedi, Amit Shah, and Gari Clifford · 2021
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Multimodalqa: Complex question answering over text, tables and images
Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, and Jonathan Berant · 2021
Later among the works it cites.
Multi-modal masked autoencoders for medical vision-and-language pre-training
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, and Tsung-Hui Chang · 2022
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Ehrsql: A practical text-to-sql benchmark for electronic health records
Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, and Edward Choi · 2022
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Text-to-sql generation for question answering on electronic medical records
Ping Wang, Tian Shi, and Chandan K Reddy · 2020
Cited alongside, same era.
3kg: contrastive learning of 12-lead electrocardiograms using physiologically-inspired augmentations
Bryan Gopal, Ryan Han, Gautham Raghupathi, Andrew Ng, Geoff Tison, and Pranav Rajpurkar · 2021
Cited alongside, same era.
Towards high generalization performance on electrocardiogram classification
Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, et al · 2021
Cited alongside, same era.
Clocs: Contrastive learning of cardiac signals across space, time, and patients
Dani Kiyasseh, Tingting Zhu, and David A Clifton · 2021
Cited alongside, same era.
Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering
Bo Liu, Li-Ming Zhan, Li Xu, Lin Ma, Yan Yang, and Xiao-Ming Wu · 2021
Cited alongside, same era.
NeuroKit2: A python toolbox for neurophysiological signal processing
Dominique Makowski, Tam Pham, Zen J. Lau, Jan C. Brammer, François Lespinasse, Hung Pham, Christopher Schölzel, and S. H. Annabel Chen · 2021
Cited alongside, same era.
Mimic-iv-ecg-diagnostic electrocardiogram matched subset
Brian Gow, Tom Pollard, Larry A Nathanson, Alistair Johnson, Benjamin Moody, Chrystinne Fernandes, Nathaniel Greenbaum, Seth Berkowitz, Dana Moukheiber, Parastou Eslami, et al
Cited in the paper.
Later among the works it cites.
MMCoQA: Conversational question answering over text, tables, and images
Yongqi Li, Wenjie Li, and Liqiang Nie · 2022
Later among the works it cites.
Multi-modal understanding and generation for medical images and text via vision-language pre-training
Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Young-Hak Kim, and Edward Choi · 2022
Later among the works it cites.
Lead-agnostic self-supervised learning for local and global representations of electrocardiogram
Jungwoo Oh, Hyunseung Chung, Joon-myoung Kwon, Dong-gyun Hong, and Edward Choi · 2022
Later among the works it cites.
PTB-XL, a large publicly available electrocardiography dataset (version 1.0.3)
Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Wojciech Samek, and Tobias Schaeffter · 2022
Later among the works it cites.
Chatcad: Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, and Dinggang Shen · 2023
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