Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27235, first published .
Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study

Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study

Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study

Authors of this article:

Panchun Chang1, 2 Author Orcid Image ;   Jun Dang1 Author Orcid Image ;   Jianrong Dai3 Author Orcid Image ;   Wenzheng Sun4 Author Orcid Image

Journals

  1. Nie X, Li G. Real-Time 2D MR Cine From Beam Eye’s View With Tumor-Volume Projection to Ensure Beam-to-Tumor Conformality for MR-Guided Radiotherapy of Lung Cancer. Frontiers in Oncology 2022;12 View
  2. Zhang K, Yu J, Liu J, Li Q, Jin S, Su Z, Xu X, Dai Z, Wang X, Zhang H. LGEANet: LSTM‐global temporal convolution‐external attention network for respiratory motion prediction. Medical Physics 2023;50(4):1975 View
  3. Sun W, Dang J, Zhang L, Wei Q. Comparison of initial learning algorithms for long short-term memory method on real-time respiratory signal prediction. Frontiers in Oncology 2023;13 View
  4. Tan M, Peng H, Liang X, Xie Y, Xia Z, Xiong J. LSTformer: Long Short-Term Transformer for Real Time Respiratory Prediction. IEEE Journal of Biomedical and Health Informatics 2022;26(10):5247 View
  5. Li G. Advances and potential of optical surface imaging in radiotherapy. Physics in Medicine & Biology 2022;67(16):16TR02 View
  6. Pohl M, Uesaka M, Takahashi H, Demachi K, Bhusal Chhatkuli R. Prediction of the position of external markers using a recurrent neural network trained with unbiased online recurrent optimization for safe lung cancer radiotherapy. Computer Methods and Programs in Biomedicine 2022;222:106908 View
  7. Liang Z, Zhang M, Shi C, Huang Z. Real-time respiratory motion prediction using photonic reservoir computing. Scientific Reports 2023;13(1) View
  8. Dai F, Liu Q, Guo Y, Xie R, Wu J, Deng T, Zhu H, Deng L, Song L. Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis. Oral Radiology 2024;40(3):357 View
  9. Wang X, Yang C, Liu Z, Zhang J, Xue C, Xing L, Zheng Y, Geng C, Yin X. R‐MFE‐TCN: A correlation prediction model between body surface and tumor during respiratory movement. Medical Physics 2024;51(9):6075 View
  10. Shi L, Liu Y, Zhao J, Kuang Z, Zhang J, Liu M, Wang H. Lightweight attention temporal convolutional network based on multi-scale feature fusion for respiratory prediction in tumor radiotherapy. Biomedical Signal Processing and Control 2025;100:106923 View
  11. Penberthy D, Mahase S. Integration of Artificial Intelligence in Radiation Oncology: A Narrative Review. AI in Precision Oncology 2025;2(3):92 View
  12. Pohl M, Uesaka M, Takahashi H, Demachi K, Chhatkuli R. Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy. Computer Methods and Programs in Biomedicine 2025;269:108828 View
  13. Rasheed A, Veluvolu K. A hybrid approach for real-time respiratory motion prediction for radiotherapy applications. Measurement 2025;254:117819 View
  14. Sun W, Dang J, Zhang L, Wei Q, Li C, Liu Y, Jing H, Huang K, Zhang Y, Li B. The effect of training data size on real-time respiration prediction using long short-term memory model. Radiation Oncology 2025;20(1) View