| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Anca Loredana Udristoiu, Daniela Stefanescu, Gabriel Gruionu, Lucian Gheorghe Gruionu, Andreea Valentina Iacob, John Gasdal Karstensen, Peter Vilman, Adrian Saftoi. Deep Learning Algorithm for the Confirmation of Mucosal Healing in Crohn's Disease, Based on Confocal Laser Endomicroscopy Images. Journal of gastrointestinal and liver diseases : JGLD. vol 30. issue 1. 2021-04-15. PMID:33723558. |
we hypothesized that dl combined with convolutional neural networks (cnns) and long short-term memory (lstm) can distinguish between normal and inflamed colonic mucosa from cle images. |
2021-04-15 |
2023-08-13 |
Not clear |
| Andreas M Fischer, Marwen Eid, Carlo N De Cecco, Mehmet A Gulsun, Marly van Assen, John W Nance, Pooyan Sahbaee, Domenico De Santis, Maximilian J Bauer, Brian E Jacobs, Akos Varga-Szemes, Ismail M Kabakus, Puneet Sharma, Logan J Jackson, U Joseph Schoep. Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography. Journal of thoracic imaging. vol 35 Suppl 1. 2021-02-08. PMID:32168163. |
the purpose of this study was to evaluate the accuracy of a novel fully automated deep learning (dl) algorithm implementing a recurrent neural network (rnn) with long short-term memory (lstm) for the detection of coronary artery calcium (cac) from coronary computed tomography angiography (ccta) data. |
2021-02-08 |
2023-08-13 |
Not clear |
| Tak Sung Heo, Yu Seop Kim, Jeong Myeong Choi, Yeong Seok Jeong, Soo Young Seo, Jun Ho Lee, Jin Pyeong Jeon, Chulho Ki. Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI. Journal of personalized medicine. vol 10. issue 4. 2020-12-29. PMID:33339385. |
in addition to conventional ml algorithms, dl algorithms such as the convolutional neural network (cnn), long short-term memory, and multilayer perceptron were used to predict poor outcomes using 5-fold cross-validation and grid search techniques. |
2020-12-29 |
2023-08-13 |
human |
| Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli L. Deep learning with long short-term memory networks for classification of dementia related travel patterns. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2020. 2020-10-26. PMID:33019238. |
in particular, we propose to use deep learning (dl) with long short-term memory networks (lstm) as classifiers for detecting travel patterns including direct, pacing, lapping and random. |
2020-10-26 |
2023-08-13 |
human |
| Ali Darwish, Yasser Rahhal, Assef Jafa. A comparative study on predicting influenza outbreaks using different feature spaces: application of influenza-like illness data from Early Warning Alert and Response System in Syria. BMC research notes. vol 13. issue 1. 2020-06-08. PMID:31948473. |
machine learning (ml) and deep learning (dl) model were applied to the second and third feature spaces (generalized linear model (glm), support vector regression (svr), gradient boosting (gb), random forest (rf) and long short term memory (lstm)). |
2020-06-08 |
2023-08-13 |
Not clear |
| Mahdi Khodayar, Jianhui Wang, Zhaoyu Wan. Energy Disaggregation via Deep Temporal Dictionary Learning. IEEE transactions on neural networks and learning systems. vol 31. issue 5. 2020-05-05. PMID:31295127. |
to learn powerful atoms, a novel deep temporal dl (dtdl) model is proposed that computes complex nonlinear dictionaries in the latent space of a long short-term memory autoencoder (lstm-ae). |
2020-05-05 |
2023-08-13 |
Not clear |
| Jie Sun, Liping Di, Ziheng Sun, Yonglin Shen, Zulong La. County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model. Sensors (Basel, Switzerland). vol 19. issue 20. 2019-10-16. PMID:31600963. |
based on remote sensing data, great progress has been made in this field by using machine learning, especially the deep learning (dl) method, including convolutional neural network (cnn) or long short-term memory (lstm). |
2019-10-16 |
2023-08-13 |
Not clear |
| Zhen Chen, Ningning He, Yu Huang, Wen Tao Qin, Xuhan Liu, Lei L. Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites. Genomics, proteomics & bioinformatics. vol 16. issue 6. 2019-05-01. PMID:30639696. |
in this study, we constructed a deep learning (dl) network classifier based on long short-term memory (lstm) with word embedding (lstm |
2019-05-01 |
2023-08-13 |
Not clear |