| 1 |
Parvaiz A, Khalid MA, Zafar R, Ameer H, Ali M, Fraz MM. Vision Transformers in medical computer vision—A contemplative retrospection. Engineering Applications of Artificial Intelligence 2023;122:106126. [DOI: 10.1016/j.engappai.2023.106126] [Reference Citation Analysis]
|
| 2 |
Smith B, Van Steelandt S, Khojandi A. Evaluating the Impact of Health Care Data Completeness for Deep Generative Models. Methods Inf Med 2023. [PMID: 36720257 DOI: 10.1055/a-2023-9181] [Reference Citation Analysis]
|
| 3 |
Xu Y, Chen Y, Wu J, Pan J, Liao C, Su H. The utility of Vision Transformer in preoperatively predicting microvascular invasion status of hepatocellular carcinoma. HPB (Oxford) 2023:S1365-182X(23)00028-X. [PMID: 36801198 DOI: 10.1016/j.hpb.2023.01.015] [Reference Citation Analysis]
|
| 4 |
Satapathy SK, Saravanan S, Mishra S, Mohanty SN. A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach. New Gener Comput 2023;:1-30. [PMID: 36741502 DOI: 10.1007/s00354-023-00203-8] [Reference Citation Analysis]
|
| 5 |
Cantone M, Marrocco C, Tortorella F, Bria A. Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. Sensors (Basel) 2023;23. [PMID: 36772268 DOI: 10.3390/s23031229] [Reference Citation Analysis]
|
| 6 |
Song Y. Artificial Intelligence Algorithms in Biomedical Application. 2023 International Conference on Intelligent Supercomputing and BioPharma (ISBP) 2023. [DOI: 10.1109/isbp57705.2023.10061317] [Reference Citation Analysis]
|
| 7 |
Hariri M, Avşar E. COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks. Netw Model Anal Health Inform Bioinform 2023;12:17. [PMID: 36938379 DOI: 10.1007/s13721-023-00413-6] [Reference Citation Analysis]
|
| 8 |
Singh R, Tiwari P, Band SS, Rehman AU, Mahajan S, Ding Y, Liu X, Pandit AK. Impact of quarantine on fractional order dynamical model of Covid-19. Comput Biol Med 2022;151:106266. [PMID: 36395591 DOI: 10.1016/j.compbiomed.2022.106266] [Reference Citation Analysis]
|
| 9 |
Xu Q, Xu QQ, Shi N, Dong LN, Zhu H, Xu K. A multitask classification framework based on vision transformer for predicting molecular expressions of glioma. European Journal of Radiology 2022;157:110560. [DOI: 10.1016/j.ejrad.2022.110560] [Reference Citation Analysis]
|
| 10 |
Ukwuoma CC, Qin Z, Agbesi VK, Cobbinah BM, Yussif SB, Abubakar HS, Lemessa BD. Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images. Comput Biol Med 2022;151:106324. [PMID: 36423531 DOI: 10.1016/j.compbiomed.2022.106324] [Reference Citation Analysis]
|
| 11 |
Cui L, Fan Z, Yang Y, Liu R, Wang D, Feng Y, Lu J, Fan Y. Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review. BioMed Research International 2022;2022:1-15. [DOI: 10.1155/2022/2456550] [Reference Citation Analysis]
|
| 12 |
Ukwuoma CC, Qin Z, Agbesi VK, Ejiyi CJ, Bamisile O, Chikwendu IA, Tienin BW, Hossin MA. LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images. Computers in Biology and Medicine 2022;150:106195. [DOI: 10.1016/j.compbiomed.2022.106195] [Reference Citation Analysis]
|
| 13 |
Yi S, Qin S, She F, Wang T. RED-CNN: The Multi-Classification Network for Pulmonary Diseases. Electronics 2022;11:2896. [DOI: 10.3390/electronics11182896] [Reference Citation Analysis]
|
| 14 |
Alshareef EA, Ebrahim FO, Lamami Y, Milad MB, Eswani MS, Bashir SA, Bshina SA, Jakdoum A, Abourqeeqah A, Elbasir MO, Elbahrit E. Knee osteoarthritis severity grading using vision transformer. IFS 2022. [DOI: 10.3233/jifs-220516] [Reference Citation Analysis]
|
| 15 |
Li X, Qiu B, Cao G, Wu C, Zhang L. A Novel Method for Ground-Based Cloud Image Classification Using Transformer. Remote Sensing 2022;14:3978. [DOI: 10.3390/rs14163978] [Reference Citation Analysis]
|
| 16 |
Srivastava G, Pradhan N, Saini Y. Ensemble of Deep Neural Networks based on Condorcet’s Jury Theorem for screening Covid-19 and Pneumonia from radiograph images. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105979] [Reference Citation Analysis]
|
| 17 |
He K, Gan C, Li Z, Rekik I, Yin Z, Ji W, Gao Y, Wang Q, Zhang J, Shen D. Transformers in Medical Image Analysis: A Review. Intelligent Medicine 2022. [DOI: 10.1016/j.imed.2022.07.002] [Reference Citation Analysis]
|
| 18 |
Huang L, Qu Y, He K, Wang Y, Shao D. DenSec: Secreted Protein Prediction in Cerebrospinal Fluid Based on DenseNet and Transformer. Mathematics 2022;10:2490. [DOI: 10.3390/math10142490] [Reference Citation Analysis]
|
| 19 |
[DOI: 10.1109/aiiot54504.2022.9817237] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
|
| 20 |
Song L, Liu X, Chen S, Liu S, Liu X, Muhammad K, Bhattacharyya S. A deep fuzzy model for diagnosis of COVID-19 from CT images. Appl Soft Comput 2022;122:108883. [PMID: 35474916 DOI: 10.1016/j.asoc.2022.108883] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
|
| 21 |
Chetoui M, Akhloufi MA. Explainable Vision Transformers and Radiomics for COVID-19 Detection in Chest X-rays. J Clin Med 2022;11:3013. [PMID: 35683400 DOI: 10.3390/jcm11113013] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 22 |
Jannat F, Willis AR. Improving Classification of Remotely Sensed Images with the Swin Transformer. SoutheastCon 2022 2022. [DOI: 10.1109/southeastcon48659.2022.9764016] [Reference Citation Analysis]
|
| 23 |
Rajaraman S, Zamzmi G, Folio LR, Antani S. Detecting Tuberculosis-Consistent Findings in Lateral Chest X-Rays Using an Ensemble of CNNs and Vision Transformers. Front Genet 2022;13:864724. [DOI: 10.3389/fgene.2022.864724] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 24 |
Goncalves T, Rio-torto I, Teixeira LF, Cardoso JS. A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms? IEEE Access 2022;10:98909-35. [DOI: 10.1109/access.2022.3206449] [Reference Citation Analysis]
|
| 25 |
Dornadula B, Geetha S, Anbarasi LJ, Kadry S. A Survey of COVID-19 Detection From Chest X-Rays Using Deep Learning Methods. International Journal of Data Warehousing and Mining 2022;18:1-16. [DOI: 10.4018/ijdwm.314155] [Reference Citation Analysis]
|
