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Cited by in F6Publishing
For: Brzezinski RY, Levin-Kotler L, Rabin N, Ovadia-Blechman Z, Zimmer Y, Sternfeld A, Finchelman JM, Unis R, Lewis N, Tepper-Shaihov O, Naftali-Shani N, Balint-Lahat N, Safran M, Ben-Ari Z, Grossman E, Leor J, Hoffer O. Automated thermal imaging for the detection of fatty liver disease. Sci Rep 2020;10:15532. [PMID: 32968123 DOI: 10.1038/s41598-020-72433-5] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Bogomilsky S, Hoffer O, Shalmon G, Scheinowitz M. Preliminary study of thermal density distribution and entropy analysis during cycling exercise stress test using infrared thermography. Sci Rep 2022;12:14018. [PMID: 35982085 DOI: 10.1038/s41598-022-18233-5] [Reference Citation Analysis]
2 De Landro M, Felli E, Collins T, Nkusi R, Baiocchini A, Barberio M, Orrico A, Pizzicannella M, Hostettler A, Diana M, Saccomandi P. Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning. Sensors (Basel) 2021;21:6934. [PMID: 34696147 DOI: 10.3390/s21206934] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
3 Brzezinski RY, Rabin N, Lewis N, Peled R, Kerpel A, Tsur AM, Gendelman O, Naftali-Shani N, Gringauz I, Amital H, Leibowitz A, Mayan H, Ben-Zvi I, Heller E, Shechtman L, Rogowski O, Shenhar-Tsarfaty S, Konen E, Marom EM, Ironi A, Rahav G, Zimmer Y, Grossman E, Ovadia-Blechman Z, Leor J, Hoffer O. Automated processing of thermal imaging to detect COVID-19. Sci Rep 2021;11:17489. [PMID: 34471180 DOI: 10.1038/s41598-021-96900-9] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
4 Ovadia-Blechman Z, Hoffer O, Halak M, Adrai K, Zimmer Y, Silverberg D, Rabin N. Assessment of blood distribution in response to post-surgical steal syndrome: A novel technique based on Thermo-Anatomical Segmentation. J Biomech 2021;119:110304. [PMID: 33631660 DOI: 10.1016/j.jbiomech.2021.110304] [Reference Citation Analysis]
5 Schollemann F, Barbosa Pereira C, Rosenhain S, Follmann A, Gremse F, Kiessling F, Czaplik M, Abreu de Souza M. An Anatomical Thermal 3D Model in Preclinical Research: Combining CT and Thermal Images. Sensors (Basel) 2021;21:1200. [PMID: 33572091 DOI: 10.3390/s21041200] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Qin Z, Zhu X, Gedeon T. Examining Transfer Learning with Neural Network and Bidirectional Neural Network on Thermal Imaging for Deception Recognition. Communications in Computer and Information Science 2021. [DOI: 10.1007/978-3-030-92310-5_18] [Reference Citation Analysis]
7 Brzezinski RY, Rabin N, Lewis N, Peled R, Kerpel A, Tsur AM, Gendelman O, Naftali-shani N, Gringauz I, Amital H, Leibowitz A, Mayan H, Ben-zvi I, Heler E, Shechtman L, Rogovski O, Shenhar-tsarfaty S, Konen E, Marom EM, Ironi A, Rahav G, Zimmer Y, Grossman E, Ovadia-blechman Z, Leor J, Hoffer O. Automated processing of thermal imaging to detect COVID-19.. [DOI: 10.1101/2020.12.22.20248691] [Reference Citation Analysis]