1 |
Özbay E, Özbay FA. Interpretable pap-smear image retrieval for cervical cancer detection with rotation invariance mask generation deep hashing. Comput Biol Med 2023;154:106574. [PMID: 36738706 DOI: 10.1016/j.compbiomed.2023.106574] [Reference Citation Analysis]
|
2 |
Park SH, Han K, Jang HY, Park JE, Lee JG, Kim DW, Choi J. Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis. Radiology 2023;306:20-31. [PMID: 36346314 DOI: 10.1148/radiol.220182] [Reference Citation Analysis]
|
3 |
Borah N, Baruah U. Image Retrieval Using Neural Networks for Word Image Spotting—A Review. Lecture Notes in Networks and Systems 2023. [DOI: 10.1007/978-981-19-5090-2_23] [Reference Citation Analysis]
|
4 |
Barnes H, Humphries SM, George PM, Assayag D, Glaspole I, Mackintosh JA, Corte TJ, Glassberg M, Johannson KA, Calandriello L, Felder F, Wells A, Walsh S. Machine learning in radiology: the new frontier in interstitial lung diseases. Lancet Digit Health 2023;5:e41-50. [PMID: 36517410 DOI: 10.1016/S2589-7500(22)00230-8] [Reference Citation Analysis]
|
5 |
Chung J, Kim D, Choi J, Yune S, Song KD, Kim S, Chua M, Succi MD, Conklin J, Longo MGF, Ackman JB, Petranovic M, Lev MH, Do S. Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach. Sci Rep 2022;12:21164. [PMID: 36476724 DOI: 10.1038/s41598-022-24721-5] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
6 |
Aoki R, Iwasawa T, Saka T, Yamashiro T, Utsunomiya D, Misumi T, Baba T, Ogura T. Effects of Automatic Deep-Learning-Based Lung Analysis on Quantification of Interstitial Lung Disease: Correlation with Pulmonary Function Test Results and Prognosis. Diagnostics (Basel) 2022;12. [PMID: 36553045 DOI: 10.3390/diagnostics12123038] [Reference Citation Analysis]
|
7 |
Vishraj R, Gupta S, Singh S. A comprehensive review of content-based image retrieval systems using deep learning and hand-crafted features in medical imaging: Research challenges and future directions. Computers and Electrical Engineering 2022;104:108450. [DOI: 10.1016/j.compeleceng.2022.108450] [Reference Citation Analysis]
|
8 |
Choe J, Lee SM, Hwang HJ, Lee SM, Yun J, Kim N, Seo JB. Artificial Intelligence in Lung Imaging. Semin Respir Crit Care Med 2022;43:946-60. [PMID: 36174647 DOI: 10.1055/s-0042-1755571] [Reference Citation Analysis]
|
9 |
Kumar V. Analysis of CNN features with multiple machine learning classifiers in diagnosis of monkepox from digital skin images.. [DOI: 10.1101/2022.09.11.22278797] [Reference Citation Analysis]
|
10 |
Jardim S, António J, Mora C, Almeida A. A Novel Trademark Image Retrieval System Based on Multi-Feature Extraction and Deep Networks. J Imaging 2022;8:238. [PMID: 36135404 DOI: 10.3390/jimaging8090238] [Reference Citation Analysis]
|
11 |
Higaki A, Kawaguchi N, Kurokawa T, Okabe H, Kazatani T, Kido S, Aono T, Matsuda K, Tanaka Y, Hosokawa S, Kosaki T, Kawamura G, Shigematsu T, Kawada Y, Hiasa G, Yamada T, Okayama H. Content-based image retrieval for the diagnosis of myocardial perfusion imaging using a deep convolutional autoencoder. J Nucl Cardiol 2022. [PMID: 35802346 DOI: 10.1007/s12350-022-03030-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
12 |
Röhrich S, Heidinger BH, Prayer F, Weber M, Krenn M, Zhang R, Sufana J, Scheithe J, Kanbur I, Korajac A, Pötsch N, Raudner M, Al-Mukhtar A, Fueger BJ, Milos RI, Scharitzer M, Langs G, Prosch H. Impact of a content-based image retrieval system on the interpretation of chest CTs of patients with diffuse parenchymal lung disease. Eur Radiol 2022. [PMID: 35779087 DOI: 10.1007/s00330-022-08973-3] [Reference Citation Analysis]
|
13 |
Yang C, Chen C, Kuo Y, Ko C, Wu W, Liang C, Yun C, Huang W. Radiomics for the Prediction of Response to Antifibrotic Treatment in Patients with Idiopathic Pulmonary Fibrosis: A Pilot Study. Diagnostics 2022;12:1002. [DOI: 10.3390/diagnostics12041002] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
|
14 |
Choudhury S, Chohan A, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Applications of artificial intelligence in common pulmonary diseases. Artif Intell Med Imaging 2022; 3(1): 1-7 [DOI: 10.35711/aimi.v3.i1.1] [Reference Citation Analysis]
|
15 |
Nguyen K, Nguyen HH, Tiulpin A. AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching. Lecture Notes in Computer Science 2022. [DOI: 10.1007/978-3-031-16452-1_69] [Reference Citation Analysis]
|