| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Xingyue Gu, Junkai Liu, Yue Yu, Pengfeng Xiao, Yijie Din. MFD-GDrug: Multimodal feature fusion-based deep learning for GPCR-drug interaction prediction. Methods (San Diego, Calif.). 2024-01-29. PMID:38286333. |
leveraging the esm pretrained model, we extract protein features and employ a cnn for protein feature representation. |
2024-01-29 |
2024-02-01 |
Not clear |
| Ihssan S Masad, Amin Alqudah, Shoroq Qaza. Automatic classification of sleep stages using EEG signals and convolutional neural networks. PloS one. vol 19. issue 1. 2024-01-26. PMID:38277364. |
the proposed methodology consists of three major steps: (i) segment the eeg signal into epochs with 30 seconds in length, (ii) convert epochs into 2d representation using time-frequency analysis, and (iii) feed the 2d time-frequency analysis to the 2d cnn. |
2024-01-26 |
2024-01-29 |
human |
| Klaifer Garcia, Pedro Shiguihara, Lilian Berto. Breaking news: Unveiling a new dataset for Portuguese news classification and comparative analysis of approaches. PloS one. vol 19. issue 1. 2024-01-26. PMID:38277376. |
second, we compare different architectures for portuguese news classification, exploring different text representations (bow, tf-idf, embedding) and classification techniques (svm, cnn, djinn, bert) for documents in portuguese, covering classical methods and current technologies. |
2024-01-26 |
2024-01-29 |
human |
| Monika Khandelwal, Ranjeet Kumar Rou. DeepPRMS: advanced deep learning model to predict protein arginine methylation sites. Briefings in functional genomics. 2024-01-24. PMID:38267081. |
we combined the latent representation of gru and cnn models to have a better interaction among them. |
2024-01-24 |
2024-01-27 |
Not clear |
| Yinghua Fu, Junfeng Liu, Jun Sh. TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images. Computers in biology and medicine. vol 170. 2024-01-14. PMID:38219644. |
the proposed network inherits the advantages of both cnn and transformer with the local feature representation and long-range dependency for medical images. |
2024-01-14 |
2024-01-17 |
Not clear |
| Sara Akan, Songül Varlı, Mohammad Alfrad Nobel Bhuiya. An enhanced Swin Transformer for soccer player reidentification. Scientific reports. vol 14. issue 1. 2024-01-11. PMID:38212392. |
despite the great success of current convolutional neural network-based (cnn) methods, most studies only consider learning representations from images, neglecting long-range dependency. |
2024-01-11 |
2024-01-14 |
Not clear |
| Igor Zingman, Birgit Stierstorfer, Charlotte Lempp, Fabian Heineman. Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development. Medical image analysis. vol 92. 2023-12-23. PMID:38141454. |
such approaches combined with pre-trained convolutional neural network (cnn) representations of images were previously employed for anomaly detection (ad). |
2023-12-23 |
2023-12-25 |
Not clear |
| Igor Zingman, Birgit Stierstorfer, Charlotte Lempp, Fabian Heineman. Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development. Medical image analysis. vol 92. 2023-12-23. PMID:38141454. |
however, pre-trained off-the-shelf cnn representations may not be sensitive to abnormal conditions in tissues, while natural variations of healthy tissue may result in distant representations. |
2023-12-23 |
2023-12-25 |
Not clear |
| Igor Zingman, Birgit Stierstorfer, Charlotte Lempp, Fabian Heineman. Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development. Medical image analysis. vol 92. 2023-12-23. PMID:38141454. |
to adapt representations to relevant details in healthy tissue we propose training a cnn on an auxiliary task that discriminates healthy tissue of different species, organs, and staining reagents. |
2023-12-23 |
2023-12-25 |
Not clear |
| X Wang, S Leng, Z Lu, S Huang, B H Lee, L Baskaran, M S Yew, L Teo, M Y Chan, K Y Ngiam, H K Lee, L Zhong, W Huan. Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2023. 2023-12-12. PMID:38083399. |
the proposed method integrates 3d cnn with transformer to improve the feature representation of coronary artery stenosis in ccta. |
2023-12-12 |
2023-12-17 |
Not clear |
| Anna Elisabeth Schnell, Maarten Leemans, Kasper Vinken, Hans Op de Beec. A computationally informed comparison between the strategies of rodents and humans in visual object recognition. eLife. vol 12. 2023-12-11. PMID:38079481. |
a direct comparison with cnn representations and visual feature analyses revealed that rat performance was best captured by late convolutional layers and partially by visual features such as brightness and pixel-level similarity, while human performance related more to the higher-up fully connected layers. |
2023-12-11 |
2023-12-17 |
human |
| Chen-Chen Fan, Hongjun Yang, Chutian Zhang, Liang Peng, Xiaohu Zhou, Shiqi Liu, Sheng Chen, Zeng-Guang Ho. Graph Reasoning Module for Alzheimer's Disease Diagnosis: A Plug-and-Play Method. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol PP. 2023-11-29. PMID:38015665. |
specifically, in grm, an adaptive graph transformer (agt) block is designed to adaptively construct a graph representation based on the feature map given by cnn, a graph convolutional network (gcn) block is adopted to update the graph representation, and a feature map reconstruction (fmr) block is built to convert the learned graph representation to a feature map. |
2023-12-07 |
2023-12-07 |
Not clear |
| Qiushi Wang, Zhicheng Sun, Yueming Zhu, Chunhe Song, Dong L. Intelligent fault diagnosis algorithm of rolling bearing based on optimization algorithm fusion convolutional neural network. Mathematical biosciences and engineering : MBE. vol 20. issue 11. 2023-12-05. PMID:38052632. |
this paper proposes a fault diagnosis method that combines a 1d-cnn with an attention mechanism and hyperparameter optimization to overcome the aforementioned limitations; this method improves the search speed for optimal hyperparameters of cnn models, improves the diagnostic accuracy, and enhances the representation of fault feature information in cnns. |
2023-12-05 |
2023-12-10 |
Not clear |
| Ashfia Jannat Keya, Hasibul Hossain Shajeeb, Md Saifur Rahman, M F Mridh. FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection. PloS one. vol 18. issue 12. 2023-12-01. PMID:38039283. |
the model combines the power of pre-trained bidirectional encoder representation of transformers (bert) embeddings with a deep convolutional neural network (cnn) having skip convolution block and long short-term memory (lstm). |
2023-12-01 |
2023-12-10 |
Not clear |
| Roberto Garcia-Fernandez, Koldo Portal-Porras, Oscar Irigaray, Zugatz Ansa, Unai Fernandez-Gami. CNN-based flow field prediction for bus aerodynamics analysis. Scientific reports. vol 13. issue 1. 2023-12-01. PMID:38040782. |
to improve the accuracy of the cnn, the field representations obtained are discretized as a function of the expected velocity gradient, so that in the areas where there is a greater variation in velocity, the corresponding neuron is smaller. |
2023-12-01 |
2023-12-10 |
Not clear |
| Chen-Chen Fan, Hongjun Yang, Chutian Zhang, Liang Peng, Xiaohu Zhou, Shiqi Liu, Sheng Chen, Zeng-Guang Ho. Graph Reasoning Module for Alzheimer's Disease Diagnosis: A Plug-and-Play Method. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol PP. 2023-11-29. PMID:38015665. |
specifically, in grm, an adaptive graph transformer (agt) block is designed to adaptively construct a graph representation based on the feature map given by cnn, a graph convolutional network (gcn) block is adopted to update the graph representation, and a feature map reconstruction (fmr) block is built to convert the learned graph representation to a feature map. |
2023-11-29 |
2023-12-07 |
Not clear |
| Shotaro Maedera, Tadahaya Mizuno, Hiroyuki Kusuhar. Investigation of latent representation of toxicopathological images extracted by CNN model for understanding compound properties in vivo. Computers in biology and medicine. vol 168. 2023-11-28. PMID:38016375. |
investigation of latent representation of toxicopathological images extracted by cnn model for understanding compound properties in vivo. |
2023-11-28 |
2023-12-07 |
Not clear |
| Shotaro Maedera, Tadahaya Mizuno, Hiroyuki Kusuhar. Investigation of latent representation of toxicopathological images extracted by CNN model for understanding compound properties in vivo. Computers in biology and medicine. vol 168. 2023-11-28. PMID:38016375. |
in this study, we assessed the usefulness of latent representations extracted from toxicopathological images using convolutional neural network (cnn) in estimating compound properties in vivo. |
2023-11-28 |
2023-12-07 |
Not clear |
| Abhishek Verma, Virender Ranga, Dinesh Kumar Vishwakarm. A novel approach for forecasting PM2.5 pollution in Delhi using CATALYST. Environmental monitoring and assessment. vol 195. issue 12. 2023-11-11. PMID:37950817. |
to derive attributes of the pm2.5 timeline of data, a pre-existing cnn model is utilized to transform the data into visual representations, which are analyzed subsequently. |
2023-11-11 |
2023-11-20 |
Not clear |
| Dong Chen, Xingjia Pan, Fan Tang, Weiming Dong, Changsheng X. SPA IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2023-10-18. PMID:37847621. |
spa by exploring the localizable representations in deep cnn, weakly supervised object localization (wsol) methods could determine the position of the object in each image just trained by the classification task. |
2023-10-18 |
2023-11-08 |
Not clear |