Fetching the paper…
Reading the bibliography…
Recent studies revealed structural and functional brain changes in heavy smokers.
G. Swan and C. Lessov-Schlaggar, “The effects of tobacco smoke and nicotine on cognition and the brain,” Neuropsychol Rev , p. 259–273, 2007
2007
Earlier work this paper cites.
T. Durazzo, D. Meyerhoff, and S. Nixon, “A comprehensive assessment of neurocognition in middle-aged chronic cigarette smokers,” Drug Alcohol Depend , vol. 122, p. 105–111, 2012
2012
Earlier work this paper cites.
F. Lin, G. Wu, L. Zhu, and H. Lei, “Heavy smokers show abnormal microstructural integrity in the anterior corpus callosum: a diffusion tensor imaging study with tract-based spatial statistics,” Drug Alcohol Depend , vol. 129, p. 82–87, 2013
2013
Earlier work this paper cites.
J. O’Neill, M. Tobias, M. Hudkins, and et al., “Thalamic glutamate decreases with cigarette smoking,” Psychopharmacology , vol. 231(13), pp. 2717–24, 2014
2014
Earlier work this paper cites.
——, “Brain networks in smokers,” Addiction Biology , vol. 20, pp. 809–819, 2015. [Online]. Available: https://doi.org/10.1111/adb.12155
2015
Earlier work this paper cites.
H. Gao, H. Wang, Z. Feng, M. Fu, C. Ma, H. Pan, B. Xu, and N. Li, “A novel texture extraction method for the sedimentary structures’ classification of petroleum imaging logging,” in Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II 7 . Springer, 2016, pp. 161–172
2016
Earlier work this paper cites.
Y. Song, “Deep learning applications in the medical image recognition,” American Journal of Computer Science and Technology , vol. 2, no. 2, pp. 22–26, 2019. [Online]. Available: https://doi.org/10.11648/j.ajcst.20190202.11
2019
Earlier work this paper cites.
2020
Earlier work this paper cites.
W. Zhu and T. Hu, “Twitter sentiment analysis of covid vaccines,” in 2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR) , 2021, pp. 118–122
2021
Cited alongside, same era.
M. Wen, Z. Yang, Y. Wei, and et al., “More than just statics: Temporal dynamic changes of intrinsic brain activity in cigarette smoking,” Addiction Biology 26( 6):e13050 , 2021. [Online]. Available: https://doi.org/10.1111/adb.13050
2021
Cited alongside, same era.
T. Hu, W. Zhu, and Y. Yan, “Artificial intelligence aspect of transportation analysis using large scale systems,” in Proceedings of the 2023 6th Artificial Intelligence and Cloud Computing Conference , 2023, pp. 54–59
2023
Cited alongside, same era.
Y. Song, P. Arora, R. Singh, and et al., “Going Blank Comfortably: Positioning Monocular Head-Worn Displays When They are Inactive,” in Proceedings of the 2023 International Symposium on Wearable Computers . Cancun, Quintana Roo Mexico: ACM, Oct. 2023, pp. 114–118. [Online]. Available: https://dl.acm.org/doi/10.1145/3594738.3611375
X. Shen, Q. Zhang, H. Zheng, and W. Qi, “Harnessing XGBoost for robust biomarker selection of obsessive-compulsive disorder (OCD) from adolescent brain cognitive development (ABCD) data,” in Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024) , P. P. Piccaluga, A. El-Hashash, and X. Guo, Eds., vol. 13252, International Society for Optics and Photonics. SPIE, 2024, p. 132520U. [Online]. Available: https://doi.org/10.1117/12.3044221
2024
Closest in time.
2024
Closest in time.
H. Peng, R. Ran, Y. Luo, J. Zhao, S. Huang, K. Thorat, T. Geng, C. Wang, X. Xu, W. Wen et al. , “Lingcn: Structural linearized graph convolutional network for homomorphically encrypted inference,” Advances in Neural Information Processing Systems , vol. 36, 2024
2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2023
Cited alongside, same era.
S. Gupta, S. S. Motwani, R. H. Seitter, W. Wang, Y. Mu, D. F. Chute, M. E. Sise, D. I. Glazer, B. A. Rosner, and G. C. Curhan, “Development and validation of a risk model for predicting contrast-associated acute kidney injury in patients with cancer: Evaluation in over 46,000 ct examinations,” American Journal of Roentgenology , vol. 221, no. 4, pp. 486–501, 2023, pMID: 37195792. [Online]. Available: https://doi.org/10.2214/AJR.23.29139
2023
Cited alongside, same era.
X. Fan, C. Tao, and J. Zhao, “Advanced stock price prediction with xlstm-based models: Improving long-term forecasting,” Preprints , no. 2024082109, August 2024. [Online]. Available: https://doi.org/10.20944/preprints202408.2109.v1
2024
Cited alongside, same era.
2024
Cited alongside, same era.
H.-C. Dan, B. Lu, and M. Li, “Evaluation of asphalt pavement texture using multiview stereo reconstruction based on deep learning,” Construction and Building Materials , vol. 412, p. 134837, 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0950061823045580
2024
Cited alongside, same era.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
T. K. H. Chung, G. Doran, T.-H. Cheung, S.-F. Yim, M.-Y. Yu, and et al., “Dissection of pik3ca aberration for cervical adenocarcinoma outcomes,” Cancers , vol. 13, no. 13, 2021. [Online]. Available: https://www.mdpi.com/2072-6694/13/13/3218
2072
Closest in time.