Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays
暂无分享,去创建一个
[1] Steven Horng,et al. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports , 2019, Scientific Data.
[2] C. Ou,et al. A de novo genome assembly of the dwarfing pear rootstock Zhongai 1 , 2019, Scientific Data.
[3] Zhongchao Shi,et al. Towards Automatic Diagnosis from Multi-modal Medical Data , 2019, iMIMIC/ML-CDS@MICCAI.
[4] E. Topol,et al. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. , 2019, The Lancet. Digital health.
[5] Mário J. Silva,et al. A Multi-modal Deep Learning Method for Classifying Chest Radiology Exams , 2019, EPIA.
[6] Zedong Nie,et al. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations , 2019, JMIR mHealth and uHealth.
[7] Qingyu Chen,et al. BioWordVec, improving biomedical word embeddings with subword information and MeSH , 2019, Scientific Data.
[8] Jon Kleinberg,et al. Transfusion: Understanding Transfer Learning for Medical Imaging , 2019, NeurIPS.
[9] S. Hallam,et al. Author Correction: A compendium of geochemical information from the Saanich Inlet water column , 2019, Scientific Data.
[10] Josien P. W. Pluim,et al. Not‐so‐supervised: A survey of semi‐supervised, multi‐instance, and transfer learning in medical image analysis , 2018, Medical Image Anal..
[11] Hao Wang,et al. A Survey on Multimodal Data-Driven Smart Healthcare Systems: Approaches and Applications , 2019, IEEE Access.
[12] Hoon Yoo,et al. Deep Learning for Electronic Health Records Analytics , 2019, IEEE Access.
[13] Jimeng Sun,et al. Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review , 2018, J. Am. Medical Informatics Assoc..
[14] Ronald M. Summers,et al. TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Chen Sun,et al. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[17] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[19] George Hripcsak,et al. Defining and measuring completeness of electronic health records for secondary use , 2013, J. Biomed. Informatics.
[20] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments , 2005, IEEvaluation@ACL.
[21] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[22] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[23] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.