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Gastrointestinal (GI) tract cancers pose a global health challenge, demanding precise radiotherapy planning for optimal treatment outcomes.
2014
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2022
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Lin, J., Deep-learning Enabled Accurate Bruch’s Membrane Segmentation in Ultrahigh-Resolution Spectral Domain and Ultrahigh-Speed Swept Source Optical Coherence Tomography
2022
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Xiao, T., Zeng, L., Shi, X., Zhu, X., and Wu, G., “Dual-graph learning convolutional networks for interpretable alzheimer’s disease diagnosis,” in [ International Conference on Medical Image Computing and Computer-Assisted Intervention
2022
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Chen, S., Potsaid, B., Li, Y., Lin, J., Hwang, Y., Moult, E. M., Zhang, J., Huang, D., and Fujimoto, J. G., “High speed, long range, deep penetration swept source oct for structural and angiographic imaging of the anterior eye,” Scientific reports
2022
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Chen, L., Li, J., Zou, Y., and Wang, T., “Etu-net: edge enhancement-guided u-net with transformer for skin lesion segmentation,” Physics in Medicine & Biology
2023
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Quintana, C. L., Chen, S., Lin, J., Fujimoto, J. G., Li, Y., and Huang, D., “Anterior topographic limbal demarcation with ultrawide-field oct,” Investigative Ophthalmology & Visual Science
2022
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Wang, L. and Xia, W., “Power-type derivatives for rough volatility with jumps,” Journal of Futures Markets
2022
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Kocak, B., Yardimci, A. H., Yuzkan, S., Keles, A., Altun, O., Bulut, E., Bayrak, O. N., and Okumus, A. A., “Transparency in artificial intelligence research: a systematic review of availability items related to open science in radiology and nuclear medicine,” Academic Radiology
2023
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Zhou, Z., Qian, X., Hu, J., Chen, G., Zhang, C., Zhu, J., and Dai, Y., “An artificial intelligence-assisted diagnosis modeling software (aims) platform based on medical images and machine learning: a development and validation study,” Quantitative Imaging in Medicine and Surgery
2023
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Zhang, Q., Cai, G., Cai, M., Qian, J., and Song, T., “Deep learning model aids breast cancer detection,” Frontiers in Computing and Intelligent Systems
2023
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Hu, J., Wang, X., Liao, Z., and Xiao, T., “M-gcn: Multi-scale graph convolutional network for 3d point cloud classification,” in [ 2023 IEEE International Conference on Multimedia and Expo (ICME)
2023
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Chen, S., Abu-Qamar, O., Kar, D., Messinger, J. D., Hwang, Y., Moult, E. M., Lin, J., Baumal, C. R., Witkin, A., Liang, M. C., et al., “Ultrahigh resolution oct markers of normal aging and early age-related macular degeneration,” Ophthalmology Science
2023
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