| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Lyndon Tang, Mohammad Shushtari, Arash Aram. IMU-Based Real-Time Estimation of Gait Phase Using Multi-Resolution Neural Networks. Sensors (Basel, Switzerland). vol 24. issue 8. 2024-04-27. PMID:38676007. |
a multi-rate convolutional neural network (cnn) was trained to estimate gait phase for a dataset of 16 participants walking on an instrumented treadmill with speeds varying between 0.1 to 1.9 m/s, and conditions such as asymmetric walking, stop-start, and sudden speed changes. |
2024-04-27 |
2024-04-29 |
human |
| Jules Collenne, Jilliana Monnier, Rabah Iguernaissi, Motasem Nawaf, Marie-Aleth Richard, Jean-Jacques Grob, Caroline Gaudy-Marqueste, Séverine Dubuisson, Djamal Mera. Fusion between an algorithm based on the characterization of melanocytic lesions asymmetry with an ensemble of CNN for melanoma detection. The Journal of investigative dermatology. 2024-02-13. PMID:38296020. |
fusion between an algorithm based on the characterization of melanocytic lesions asymmetry with an ensemble of cnn for melanoma detection. |
2024-02-13 |
2024-02-15 |
Not clear |
| Jules Collenne, Jilliana Monnier, Rabah Iguernaissi, Motasem Nawaf, Marie-Aleth Richard, Jean-Jacques Grob, Caroline Gaudy-Marqueste, Séverine Dubuisson, Djamal Mera. Fusion between an algorithm based on the characterization of melanocytic lesions asymmetry with an ensemble of CNN for melanoma detection. The Journal of investigative dermatology. 2024-02-13. PMID:38296020. |
the ann based on asymmetry achieved an auc of 0.873, sensitivity 90%, specificity 67%, the cnn approach achieved an auc of 0.938, sensitivity 91%, specificity 82%, and the fusion of both approaches was 0.942, sensitivity 92%, specificity 82%. |
2024-02-13 |
2024-02-15 |
Not clear |
| Bowen Liu, Hong Song, Qiang Li, Yucong Lin, Xutao Weng, Zhaoli Su, Jian Yan. 3D ARCNN: An Asymmetric Residual CNN for False Positive Reduction in Pulmonary Nodule. IEEE transactions on nanobioscience. vol PP. 2023-05-22. PMID:37216265. |
3d arcnn: an asymmetric residual cnn for false positive reduction in pulmonary nodule. |
2023-05-22 |
2023-08-14 |
Not clear |
| Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, Amritendu Mukherjee, Debashis Nand. A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images. Computer methods and programs in biomedicine. vol 226. 2022-10-08. PMID:36208537. |
this paper has introduced a patch-based, residual, asymmetric, encoder-decoder cnn that solves two major problems in acute ischemic stroke lesion segmentation from ct and ct perfusion data using deep neural networks. |
2022-10-08 |
2023-08-14 |
Not clear |
| Yihan Wu, Min Xia, Li Nie, Yangsong Zhang, Andong Fa. Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition. Computers in biology and medicine. vol 149. 2022-08-30. PMID:36041272. |
based on these two angles, we proposed a model termed multi-scales bi-hemispheric asymmetric model (msbam) based on convolutional neural network (cnn) structure. |
2022-08-30 |
2023-08-14 |
Not clear |
| Lidia Talavera-Martínez, Pedro Bibiloni, Aniza Giacaman, Rosa Taberner, Luis Javier Del Pozo Hernando, Manuel González-Hidalg. A novel approach for skin lesion symmetry classification with a deep learning model. Computers in biology and medicine. vol 145. 2022-04-01. PMID:35364312. |
we use a cnn model, which classifies the symmetry of a skin lesion as either "fully asymmetric", "symmetric with respect to one axis", or "symmetric with respect to two axes". |
2022-04-01 |
2023-08-13 |
Not clear |
| April Vassantachart, Yufeng Cao, Michael Gribble, Samuel Guzman, Jason C Ye, Kyle Hurth, Anna Mathew, Gabriel Zada, Zhaoyang Fan, Eric L Chang, Wensha Yan. Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network. Scientific reports. vol 12. issue 1. 2022-03-10. PMID:35264655. |
a novel asymmetric 3d convolutional neural network (cnn) architecture was constructed with two encoding paths based on t1-ce and t2-flair. |
2022-03-10 |
2023-08-13 |
Not clear |
| April Vassantachart, Yufeng Cao, Michael Gribble, Samuel Guzman, Jason C Ye, Kyle Hurth, Anna Mathew, Gabriel Zada, Zhaoyang Fan, Eric L Chang, Wensha Yan. Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network. Scientific reports. vol 12. issue 1. 2022-03-10. PMID:35264655. |
a novel asymmetric cnn with two differently weighted encoding paths was developed for successful automated meningioma grade classification. |
2022-03-10 |
2023-08-13 |
Not clear |
| Maleika Heenaye-Mamode Khan, Nazmeen Boodoo-Jahangeer, Wasiimah Dullull, Shaista Nathire, Xiaohong Gao, G R Sinha, Kapil Kumar Nagwansh. Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN). PloS one. vol 16. issue 8. 2021-12-02. PMID:34437623. |
in this work, we have developed a deep convolutional neural network (cnn) to segment and classify the various types of breast abnormalities, such as calcifications, masses, asymmetry and carcinomas, unlike existing research work, which mainly classified the cancer into benign and malignant, leading to improved disease management. |
2021-12-02 |
2023-08-13 |
Not clear |
| Frank Wuttke, Hao Lyu, Amir S Sattari, Zarghaam H Rizv. Wave based damage detection in solid structures using spatially asymmetric encoder-decoder network. Scientific reports. vol 11. issue 1. 2021-10-29. PMID:34697352. |
the presented model, a spatially asymmetric encoder-decoder network, is based on 1d-convolutional neural networks (cnn) for wave field pattern recognition, or more specifically the wave field change recognition. |
2021-10-29 |
2023-08-13 |
Not clear |
| Huan Lei, Naveed Akhtar, Ajmal Mia. Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds. IEEE transactions on pattern analysis and machine intelligence. vol 43. issue 10. 2021-09-03. PMID:32248091. |
similar to the regular grid cnn kernels, the spherical kernel maintains translation-invariance and asymmetry properties, where the former guarantees weight sharing among similar local structures in the data and the latter facilitates fine geometric learning. |
2021-09-03 |
2023-08-13 |
Not clear |
| Saori Takeda, Yuichi Mine, Yuki Yoshimi, Shota Ito, Kotaro Tanimoto, Takeshi Murayam. Landmark annotation and mandibular lateral deviation analysis of posteroanterior cephalograms using a convolutional neural network. Journal of dental sciences. vol 16. issue 3. 2021-06-19. PMID:34141110. |
here, we propose a fully automated annotation system that supports analysis of mandibular deviation and detection of facial asymmetry in posteroanterior (pa) cephalograms by means of a deep learning-based convolutional neural network (cnn) algorithm. |
2021-06-19 |
2023-08-13 |
Not clear |
| Mahdi M Kalayeh, Mubarak Sha. Training Faster by Separating Modes of Variation in Batch-Normalized Models. IEEE transactions on pattern analysis and machine intelligence. vol 42. issue 6. 2020-05-11. PMID:30703010. |
however, given the rectifying non-linearities employed in cnn architectures, distribution of the layer outputs show an asymmetric characteristic. |
2020-05-11 |
2023-08-13 |
Not clear |
| Hasmila A Omar, Arijit Patra, Joao S Domingos, Paul Leeson, Alison J Noble. Automated Myocardial Wall Motion Classification using Handcrafted Features vs a Deep CNN-based mapping. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2018. 2019-10-22. PMID:30441060. |
regarding the later classifier, we also investigate the effect of local phase information retrieval through the use of feature asymmetry (fa), and demonstrate that pre-processing videos with fa enables the spatio-temporal cnn to better discover relevant left ventricle endocardial abstractions from low-level features to high-level representations automatically. |
2019-10-22 |
2023-08-13 |
Not clear |
| Yiling Wu, Shuhui Wang, Guoli Song, Qingming Huan. Online Asymmetric Metric Learning With Multi-Layer Similarity Aggregation for Cross-Modal Retrieval. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 28. issue 9. 2019-07-03. PMID:30951466. |
considering that multiple cnn feature layers naturally represent visual information from low-level visual patterns to high-level semantic abstraction, we propose a new asymmetric image-text similarity formulation which aggregates the layer-wise visual-textual similarities parameterized by different bilinear parameter matrices. |
2019-07-03 |
2023-08-13 |
Not clear |
| Giorgio Chelucci, Salvatore Baldino, Walter Baratt. Recent advances in osmium-catalyzed hydrogenation and dehydrogenation reactions. Accounts of chemical research. vol 48. issue 2. 2015-09-14. PMID:25650714. |
thus, for instance, the introduction of ligands with an nh function, possibly in combination with a pyridine ring, led to a new family of [oscl2(pp)(nn)] (nn = diamine, 2-aminomethylpyridine; pp = diphosphine) and pincer [oscl(cnn)(pp)] (hcnn = 6-aryl-2-aminomethylpyridine, 2-aminomethylbenzo[h]quinoline) complexes, which are outstanding catalysts for (asymmetric) hy and th of carbonyl compounds and dhy of alcohols with turnover numbers and turnover frequencies up to 10(5) and 10(6) h(-1), respectively. |
2015-09-14 |
2023-08-13 |
Not clear |
| Si-Hai Wu, Yu-Wu Zhong, Jiannian Ya. 2,3-Di(2-pyridyl)-5-phenylpyrazine: a NN-CNN-type bridging ligand for dinuclear transition-metal complexes. Chemistry, an Asian journal. vol 8. issue 7. 2014-01-16. PMID:23640789. |
the asymmetric biruthenium complex [(bpy)2ru(dpppz)ru(mebip)](3+) (2(3+)) was prepared from complex 1(2+) and [(mebip)rucl3] (mebip = bis(n-methylbenzimidazolyl)pyridine), in which one hydrogen atom on the phenyl ring of dpppzh is lost and the bridging ligand binds to the second ruthenium atom in a cnn tridentate fashion. |
2014-01-16 |
2023-08-12 |
Not clear |
| Rodrigo M González, Martiniano M Ricardi, Norberto D Iuse. Atypical epigenetic mark in an atypical location: cytosine methylation at asymmetric (CNN) sites within the body of a non-repetitive tomato gene. BMC plant biology. vol 11. issue 1. 2011-08-29. PMID:21599976. |
in contrast to mammals, plant dna methylation, which is stimulated by external cues exemplified by various abiotic types of stress, is often found not only at cg sites but also at cng (n denoting a, c or t) and cnn (asymmetric) sites. |
2011-08-29 |
2023-08-12 |
Not clear |
| Rodrigo M González, Martiniano M Ricardi, Norberto D Iuse. Atypical epigenetic mark in an atypical location: cytosine methylation at asymmetric (CNN) sites within the body of a non-repetitive tomato gene. BMC plant biology. vol 11. issue 1. 2011-08-29. PMID:21599976. |
atypical epigenetic mark in an atypical location: cytosine methylation at asymmetric (cnn) sites within the body of a non-repetitive tomato gene. |
2011-08-29 |
2023-08-12 |
Not clear |