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Cited by in CrossRef
For: Mao WB, Lyu JY, Vaishnani DK, Lyu YM, Gong W, Xue XL, Shentu YP, Ma J. Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors. World J Clin Cases 2020; 8(18): 3971-3977 [PMID: 33024753 DOI: 10.12998/wjcc.v8.i18.3971]
URL: https://www.wjgnet.com/1007-9327/full/v8/i18/3971.htm
Number Citing Articles
1
Kangjam Rekha Devi, Jagat Pradhan, Rinchenla Bhutia, Peggy Dadul, Atanu Sarkar, Nitumoni Gohain, Kanwar Narain. Molecular diversity of Mycobacterium tuberculosis complex in Sikkim, India and prediction of dominant spoligotypes using artificial intelligenceScientific Reports 2021; 11(1) doi: 10.1038/s41598-021-86626-z
2
Sanjeevi Pandiyan, Li Wang. A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligenceComputers in Biology and Medicine 2022; 150: 106140 doi: 10.1016/j.compbiomed.2022.106140
3
Guanghui Yuan, Bohan Lv, Cuifang Hao. Application of artificial neural networks in reproductive medicineHuman Fertility 2023; 26(5): 1195 doi: 10.1080/14647273.2022.2156301
4
Ibtihaj Khurram Faridi, Evangelos Tsotsas, Wolfram Heineken, Marcus Koegler, Abdolreza Kharaghani. Spatio-temporal prediction of temperature in fluidized bed biomass gasifier using dynamic recurrent neural network methodApplied Thermal Engineering 2023; 219: 119334 doi: 10.1016/j.applthermaleng.2022.119334
5
Sumagna Dey, Rohan Pal, Saptarshi Biswas. Biosignal ProcessingBiomedical Engineering 2022; 14 doi: 10.5772/intechopen.103075
6
Nasir Mehmood, Rashid Ahmad, Aqsa Gul, Anwar Zaman, Ghulam Murtaza, Jamil Ahmad, Fida Younus Khattak. Prediction of lattice constants for the full-Heusler alloys by vector regression model and Artificial Neural NetworksComputational Condensed Matter 2021; 29: e00605 doi: 10.1016/j.cocom.2021.e00605
7
V. Durga Prasad Jasti, Enagandula Prasad, Manish Sawale, Shivlal Mewada, Manoj L. Bangare, Pushpa M. Bangare, Sunil L. Bangare, F. Sammy, Mukesh Soni. Image Processing and Machine Learning-Based Classification and Detection of Liver TumorBioMed Research International 2022; 2022: 1 doi: 10.1155/2022/3398156
8
Feng Luo, Guang Hong, Qianbing Wan. Artificial Intelligence in Biomedical Applications of ZirconiaFrontiers in Dental Medicine 2021; 2 doi: 10.3389/fdmed.2021.689288
9
Ritu Tandon, Shweta Agrawal, Narendra Pal Singh Rathore, Abhinava K. Mishra, Sanjiv Kumar Jain. A systematic review on deep learning‐based automated cancer diagnosis modelsJournal of Cellular and Molecular Medicine 2024; 28(6) doi: 10.1111/jcmm.18144
10
Saloni Joshi, Bhawna Bisht, Vinod Kumar, Narpinder Singh, Shabaaz Begum Jameel Pasha, Nardev Singh, Sanjay Kumar. Artificial intelligence assisted food science and nutrition perspective for smart nutrition research and healthcareSystems Microbiology and Biomanufacturing 2024; 4(1): 86 doi: 10.1007/s43393-023-00200-4