Publications

My articles can also be found on Google Scholar.

Preprint/Under Review

  1. C.-C. Chan, J. P. Haldar, “Constrained MRI using weighted Hilbert spaces: Fast scan-specific reconstruction with transparent assumptions”, 2025. (Conference abstract under review). [Link]

  2. C.-C. Chan, J. P. Haldar, “A new k-space model for non-Cartesian Fourier imaging”, arXiv:2505.05647, 2025. (Under review). [Link]

Journal publications

  1. R. Lobos, C.-C. Chan, J. P. Haldar, “New theory and faster computations for subspace-based sensitivity map estimation in multichannel MRI”, IEEE Trans. Med. Imag., vol. 43, pp. 1–10, 2023. [Link]

  2. S.-T. Tsai, C.-H. Liu, C.-C. Chan, Y.-H. Li, S.-L. Huang, H. H. Chen, “H&E-like staining of OCT images of human skin via generative adversarial network”, Appl. Phys. Lett., vol. 121, pp. 134102, 2022. [Link]

  3. C.-C. Chan, J. P. Haldar, “Local perturbation responses and checkerboard test: A tool for characterizing advanced nonlinear algorithms for inverse problems in MR”, Magn. Reson. Med., vol. 86, pp. 1873–1887, 2021. [Link]

  4. C.-J. Ho, M. Calderon-Delgado, C.-C. Chan, M.-Y. Lin, J.-W. Tjiu, S.-L. Huang, H. H. Chen, “Detecting mouse squamous cell carcinoma from submicron full-field optical coherence tomography images by deep learning”, J. Biophotonics, vol. 14, 2021. [Link]

  5. C.-J. Ho, C.-C. Chan, H. H. Chen, “AF-Net: A convolutional neural network approach to phase detection autofocus”, IEEE Trans. Image Process., vol. 29, pp. 6386–6395, 2020. [Link]

  6. C.-C. Chan, H. H. Chen, “Modeling phase shift data of phase-detection autofocus by skew-normal distribution”, J. Electron. Imaging, vol. 28, 2019. [Link]

  7. P.-H. Lee, C.-C. Chan, S.-L. Huang, A. Chen, H. H. Chen, “Extracting blood vessels from full-field OCT data of human skin by short-time RPCA”, IEEE Trans. Med. Imag., vol. 37, pp. 1899-1909, 2018. [Link]

Conference publications

  1. C.-C. Chan, J. P. Haldar, “A novel k-space model for non-Cartesian reconstruction”, in Proc. Int. Soc. Magn. Reson. Med., 2025, p. 1366. (Magna Cum Laude Award). [Link]

  2. C.-C. Chan, D. Kara, D. Kwon, E. Roselli, C. Nguyen, J. P. Haldar, “ROVir enables substantially easier real-time imaging of small regions of interest”, in Proc. Int. Soc. Magn. Reson. Med., 2025, p. 2622. [Link]

  3. C.-C. Chan, J. P. Haldar, “Rethinking model-based non-Cartesian Fourier imaging: A new k-space model”, in Proc. IEEE Int. Symp. Biomed. Imag., 2025. [Link]

  4. C.-C. Chan, C. Nguyen, J. P. Haldar, “Improved region-optimized virtual coils for Cartesian acquisition geometries”, in Proc. Int. Soc. Magn. Reson. Med., 2024, p. 1905. [Link]

  5. C.-C. Chan, J. P. Haldar, “Measuring spatiotemporal resolution in real-time MRI”, in Proc. Int. Soc. Magn. Reson. Med., 2024, p. 1875. [Link]

  6. C.-C. Chan, J. Wang, T. Nadeem, J. P. Haldar, “On reference-based image quality assessment in medical image reconstruction: Potential pitfalls and possible solutions”, in Proc. Asilomar, 2023, pp. 36–39. (Invited paper). [Link]

  7. R. Lobos, C.-C. Chan, J. P. Haldar, “New theory and faster computations for subspace-based sensitivity map estimation”, in Proc. Int. Soc. Magn. Reson. Med., 2023, p. 4625. [Link]

  8. C.-C. Chan, J. P. Haldar, “Local perturbation responses: A tool for understanding the characteristics of advanced nonlinear MR reconstruction algorithms”, in Proc. Int. Soc. Magn. Reson. Med., 2020, p. 684. (Power pitch presentation). [Link]

  9. C.-C. Chan, H. H. Chen, “Autofocus by deep reinforcement learning”, in Proc. Electron. Imaging, 2019, pp. 577-581. [Link]

  10. C.-C. Chan, H. H. Chen, “Improving the reliability of phase detection autofocus”, in Proc. Electron. Imaging, 2018, pp. 1-5. [Link]

  11. C.-C. Chan, S.-K. Huang, H. H. Chen, “Enhancement of phase detection for autofocus”, in Proc. IEEE Int. Conf. Image Process., 2017, pp. 41-45. [Link]

  12. P.-H. Lee, C.-C. Chan, S.-L. Huang, A. Chen, H. H. Chen, “Blood vessel extraction from OCT data by short-time RPCA”, in Proc. IEEE Int. Conf. Image Process., 2016, pp. 394-398. [Link]