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The electrocardiogram (ECG) is one of the most commonly used non-invasive, convenient medical monitoring tools that assist in the clinical diagnosis of heart diseases.
The impact of the mit-bih arrhythmia database
George B Moody and Roger G Mark · 2001
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Wavelet transforms and the ecg: a review
Paul S Addison · 2005
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Zero-shot learning through cross-modal transfer
Richard Socher, Milind Ganjoo, Christopher D Manning, and Andrew Ng · 2013
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Difficult ecgs in stemi:: Lessons learned from serial sampling of pre-and in-hospital ecgs
Antoine Ayer and Christian Juhl Terkelsen · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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A survey on ecg analysis
Selcan Kaplan Berkaya, Alper Kursat Uysal, Efnan Sora Gunal, Semih Ergin, Serkan Gunal, and M Bilginer Gulmezoglu · 2018
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A supervised learning approach for icu mortality prediction based on unstructured electrocardiogram text reports
Gokul S Krishnan and S Sowmya Kamath · 2018
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Classification of ecg arrhythmia using recurrent neural networks
Shraddha Singh, Saroj Kumar Pandey, Urja Pawar, and Rekh Ram Janghel · 2018
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Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H Lampert, Bernt Schiele, and Zeynep Akata · 2018
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Publicly available clinical bert embeddings
Emily Alsentzer, John R Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew McDermott · 2019
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Classification of myocardial infarction with multi-lead ecg signals and deep cnn
Ulas Baran Baloglu, Muhammed Talo, Ozal Yildirim, Ru San Tan, and U Rajendra Acharya · 2019
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A novel approach for detection of myocardial infarction from ecg signals of multiple electrodes
Rajesh Kumar Tripathy, Abhijit Bhattacharyya, and Ram Bilas Pachori · 2019
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A survey of zero-shot learning: Settings, methods, and applications
Wei Wang, Vincent W Zheng, Han Yu, and Chunyan Miao · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data
Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, and Hongyan Li · 2020
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A review on deep learning methods for ecg arrhythmia classification
Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, and Arash Gharehbaghi · 2020
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Holmes: health online model ensemble serving for deep learning models in intensive care units
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin Maher, Alaa Aljiffry, Jimeng Sun, and Alexey Tumanov · 2020
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Multimodal few-shot learning with frozen language models
Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi, SM Eslami, Oriol Vinyals, and Felix Hill · 2021
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Florence: A new foundation model for computer vision
Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, et al · 2021
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Lets-gzsl: A latent embedding model for time series generalized zero shot learning
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A survey on contrastive self-supervised learning
Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Debapriya Banerjee, and Fillia Makedon · 2020
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A review of generalized zero-shot learning methods
Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, and Xi-Zhao Wang · 2020
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Ptb-xl, a large publicly available electrocardiography dataset
Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I Lunze, Wojciech Samek, and Tobias Schaeffter · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2020
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Interpretation of electrocardiogram (ecg) rhythm by combined cnn and bilstm
Xue Xu, Sohyun Jeong, and Jianqiang Li · 2020
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Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
Shih-Cheng Huang, Liyue Shen, Matthew P Lungren, and Serena Yeung · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig
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Sathvik Bhaskarpandit, Priyanka Gupta, and Manik Gupta · 2022
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Intra-inter subject self-supervised learning for multivariate cardiac signals
Xiang Lan, Dianwen Ng, Shenda Hong, and Mengling Feng · 2022
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Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency · 2022
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Self-supervised representation learning from 12-lead ecg data
Temesgen Mehari and Nils Strodthoff · 2022
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Medclip: Contrastive learning from unpaired medical images and text
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, and Jimeng Sun · 2022
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Mehmet Yamaç, Mert Duman, İlke Adalıoğlu, Serkan Kiranyaz, and Moncef Gabbouj · 2022
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Lit: Zero-shot transfer with locked-image text tuning
Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, and Lucas Beyer · 2022
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