| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yimin Li, Shuo Han, Yuqing Zhao, Fangzhi Li, Dongjiang Ji, Xinyan Zhao, Dayong Liu, Jianbo Jian, Chunhong H. Synchrotron microtomography image restoration via regularization representation and deep CNN prior. Computer methods and programs in biomedicine. vol 226. 2022-10-18. PMID:36257200. |
synchrotron microtomography image restoration via regularization representation and deep cnn prior. |
2022-10-18 |
2023-08-14 |
Not clear |
| Abdullah Marish Ali, Fuad A Ghaleb, Bander Ali Saleh Al-Rimy, Fawaz Jaber Alsolami, Asif Irshad Kha. Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique. Sensors (Basel, Switzerland). vol 22. issue 18. 2022-09-23. PMID:36146319. |
compared with the state-of-the-art models, which use deep contextualized representation with convolutional neural network (cnn), the proposed model shows significant improvements (2.41%) in the overall performance in terms of the f1score for the liar dataset, which is more challenging than other datasets. |
2022-09-23 |
2023-08-14 |
Not clear |
| Monira Islam, Tan Le. MEMD-HHT based Emotion Detection from EEG using 3D CNN. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-10. PMID:36085624. |
a 3d convolutional neural network (cnn) is adopted to perform emotion detection with spatial-temporal-spectral feature representations that are constructed by stacking the multi-channel mhs over consecutive signal segments. |
2022-09-10 |
2023-08-14 |
Not clear |
| Yang Zhang, Yvon Savaria, Shiqi Zhao, Goncalo Mordido, Mohamad Sawan, Francois Leduc-Primea. Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-10. PMID:36086510. |
particularly, deep learning models such as convolutional neural networks (cnn) can be used to accurately detect ictogenesis through deep structured learning representations. |
2022-09-10 |
2023-08-14 |
Not clear |
| Helena R Torres, Pedro Morais, Anne Fritze, Bruno Oliveira, Fernando Veloso, Mario Rudiger, Jaime C Fonseca, Joao L Vilac. 3D Facial Landmark Localization for cephalometric analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-09. PMID:36083940. |
in the second stage, a cnn is used to estimate a probability map for each landmark using the 2d representations as input. |
2022-09-09 |
2023-08-14 |
Not clear |
| Noushin Hajarolasvadi, Vikram Sunkara, Sagar Khavnekar, Florian Beck, Robert Brandt, Daniel Bau. Volumetric macromolecule identification in cryo-electron tomograms using capsule networks. BMC bioinformatics. vol 23. issue 1. 2022-08-30. PMID:36042418. |
then, a 3d cnn decoder reconstructs the sub-tomograms from the given representation by upsampling. |
2022-08-30 |
2023-08-14 |
Not clear |
| Kunli Zhang, Shuai Zhang, Yu Song, Linkun Cai, Bin H. Double decoupled network for imbalanced obstetric intelligent diagnosis. Mathematical biosciences and engineering : MBE. vol 19. issue 10. 2022-08-29. PMID:36031980. |
in the representation learning stage, convolutional neural networks (cnn) is used to learn the original features of the data. |
2022-08-29 |
2023-08-14 |
Not clear |
| Vivek Kumar Singh, Md Mostafa Kamal Sarker, Yasmine Makhlouf, Stephanie G Craig, Matthew P Humphries, Maurice B Loughrey, Jacqueline A James, Manuel Salto-Tellez, Paul O'Reilly, Perry Maxwel. ICOSeg: Real-Time ICOS Protein Expression Segmentation from Immunohistochemistry Slides Using a Lightweight Conv-Transformer Network. Cancers. vol 14. issue 16. 2022-08-26. PMID:36010903. |
the proposed model relies on the mobilevit network that includes two main components: convolutional neural network (cnn) layers for extracting spatial features; and a transformer block for capturing a global feature representation from ihc patch images. |
2022-08-26 |
2023-08-14 |
Not clear |
| Rajendran T, Prajoona Valsalan, Amutharaj J, Jenifer M, Rinesh S, Charlyn Pushpa Latha G, Anitha . Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning. Computational intelligence and neuroscience. vol 2022. 2022-08-15. PMID:35965752. |
the squeeze and excitation block is designed to improve the representation quality of a cnn. |
2022-08-15 |
2023-08-14 |
Not clear |
| Catherine Lollett, Mitsuhiro Kamezaki, Shigeki Sugan. Single Camera Face Position-Invariant Driver's Gaze Zone Classifier Based on Frame-Sequence Recognition Using 3D Convolutional Neural Networks. Sensors (Basel, Switzerland). vol 22. issue 15. 2022-08-12. PMID:35957412. |
three-dimensional convolutional neural networks (cnn) models can make a spatio-temporal driver's representation that extracts features encoded in multiple adjacent frames that can describe motions. |
2022-08-12 |
2023-08-14 |
Not clear |
| Zakaria Neili, Kenneth Sundara. A comparative study of the spectrogram, scalogram, melspectrogram and gammatonegram time-frequency representations for the classification of lung sounds using the ICBHI database based on CNNs. Biomedizinische Technik. Biomedical engineering. 2022-08-04. PMID:35926850. |
the results of the analysis on the performance of the four representations using these three commonly used cnn deep-learning networks indicate that the generated gammatonegram and scalogram tf images coupled with resnet-50 achieved maximum classification accuracies. |
2022-08-04 |
2023-08-14 |
Not clear |
| Zijiang Zhu, Hang Chen, Song Xie, Yi Hu, Jing Chan. Classification and Reconstruction of Biomedical Signals Based on Convolutional Neural Network. Computational intelligence and neuroscience. vol 2022. 2022-08-01. PMID:35909845. |
the method includes a cnn feature representation network for breast masses and a feature decision mechanism that simulates the physician's diagnosis process. |
2022-08-01 |
2023-08-14 |
Not clear |
| Kangchen Liu, Xiujun Zhan. PiTLiD: Identification of Plant Disease from Leaf Images Based On Convolutional Neural Network. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2022-08-01. PMID:35914052. |
however 5, cnn's representation power is still a challenge in dealing with small datasets, which greatly affects its popularization. |
2022-08-01 |
2023-08-14 |
Not clear |
| Mohammad D Alahmad. Medical Image Segmentation with Learning Semantic and Global Contextual Representation. Diagnostics (Basel, Switzerland). vol 12. issue 7. 2022-07-27. PMID:35885454. |
in this paper, we propose a two parallel encoder model, where in the first path the cnn module captures the local semantic representation whereas the second path deploys a transformer module to extract the long-range contextual representation. |
2022-07-27 |
2023-08-14 |
Not clear |
| David Burns, Philip Boyer, Colin Arrowsmith, Cari Whyn. Personalized Activity Recognition with Deep Triplet Embeddings. Sensors (Basel, Switzerland). vol 22. issue 14. 2022-07-27. PMID:35890902. |
we present an approach to personalized activity recognition based on deep feature representation derived from a convolutional neural network (cnn). |
2022-07-27 |
2023-08-14 |
human |
| Zi Zhang, Hong Pan, Xingyu Wang, Zhibin Li. Deep Learning Empowered Structural Health Monitoring and Damage Diagnostics for Structures with Weldment via Decoding Ultrasonic Guided Wave. Sensors (Basel, Switzerland). vol 22. issue 14. 2022-07-27. PMID:35891068. |
the architecture of the cnn was set up to provide an effective classifier for data representation and data fusion. |
2022-07-27 |
2023-08-14 |
Not clear |
| Guowen Xiao, Meng Shi, Mengwen Ye, Bowen Xu, Zhendi Chen, Quansheng Re. 4D attention-based neural network for EEG emotion recognition. Cognitive neurodynamics. vol 16. issue 4. 2022-07-18. PMID:35847538. |
then, the proposed 4d-ann adopts spectral and spatial attention mechanisms to adaptively assign the weights of different brain regions and frequency bands, and a convolutional neural network (cnn) is utilized to deal with the spectral and spatial information of the 4d representations. |
2022-07-18 |
2023-08-14 |
Not clear |
| Mohammad Usman, Tehseen Zia, Ali Tari. Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography. Journal of digital imaging. 2022-07-12. PMID:35819537. |
by examining the acquired representations and results, we discover that transfer learning from the pre-trained vision transformer shows improved results as compared to pre-trained cnn which demonstrates a greater transfer ability of the transformers in medical imaging. |
2022-07-12 |
2023-08-14 |
Not clear |
| Youngseob Eum, Eun-Hye Yo. Imputation of missing time-activity data with long-term gaps: A multi-scale residual CNN-LSTM network model. Computers, environment and urban systems. vol 95. 2022-07-11. PMID:35812524. |
the method consists of two steps: (1) the continuous bag-of-words word2vec model to convert daily ta sequences into a low-dimensional numerical representation to reduce complexity; (2) a multi-scale residual convolutional neural network (cnn)-stacked long short-term memory (lstm) model to capture multi-scale temporal dependencies across historical observations and to predict the missing tas. |
2022-07-11 |
2023-08-14 |
human |
| Mesfer Al Duhayyim, Hanan Abdullah Mengash, Radwa Marzouk, Mohamed K Nour, Hany Mahgoub, Fahd Althukair, Abdullah Mohame. Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification. Computational intelligence and neuroscience. vol 2022. 2022-07-11. PMID:35814569. |
in contrast to classical image-dependent "semantic" feature evaluation from human expertise, deep learning techniques could learn feature representation automatically from sample images using convolutional neural network (cnn). |
2022-07-11 |
2023-08-14 |
human |