| Local perturbation responses and checkerboard tests: Characterization tools for nonlinear MRI methods CC Chan, JP Haldar Magnetic resonance in medicine 86 (4), 1873-1887, 2021 | 25 | 2021 |
| Detecting mouse squamous cell carcinoma from submicron full‐field optical coherence tomography images by deep learning CJ Ho, M Calderon‐Delgado, CC Chan, MY Lin, JW Tjiu, SL Huang, ... Journal of Biophotonics 14 (1), e202000271, 2021 | 24 | 2021 |
| Extracting blood vessels from full-field OCT data of human skin by short-time RPCA PH Lee, CC Chan, SL Huang, A Chen, HH Chen IEEE transactions on medical imaging 37 (8), 1899-1909, 2018 | 23 | 2018 |
| Enhancement of phase detection for autofocus CC Chan, SK Huang, HH Chen 2017 IEEE International Conference on Image Processing (ICIP), 41-45, 2017 | 21 | 2017 |
| Autofocus by deep reinforcement learning CC Chan, HH Chen electronic imaging 31, 1-6, 2019 | 13 | 2019 |
| Blood vessel extraction from OCT data by short-time RPCA PH Lee, CC Chan, SL Huang, A Chen, HH Chen 2016 IEEE International Conference on Image Processing (ICIP), 394-398, 2016 | 10 | 2016 |
| New theory and faster computations for subspace-based sensitivity map estimation in multichannel MRI RA Lobos, CC Chan, JP Haldar IEEE Transactions on Medical Imaging 43 (1), 286-296, 2023 | 9 | 2023 |
| Improving the reliability of phase detection autofocus CC Chan, HH Chen Electronic Imaging 30, 1-5, 2018 | 9 | 2018 |
| H&E-like staining of OCT images of human skin via generative adversarial network ST Tsai, CH Liu, CC Chan, YH Li, SL Huang, HH Chen Applied Physics Letters 121 (13), 2022 | 8 | 2022 |
| AF-Net: A convolutional neural network approach to phase detection autofocus CJ Ho, CC Chan, HH Chen IEEE Transactions on Image Processing 29, 6386-6395, 2020 | 7 | 2020 |
| Segmentation based oct image to h&e-like image conversion ST Tsai, CC Chan, HH Chen, JW Tjiu, SL Huang Microscopy Histopathology and Analytics, MM3A. 5, 2020 | 3 | 2020 |
| Modeling phase shift data of phase-detection autofocus by skew-normal distribution CC Chan, HH Chen Journal of Electronic Imaging 28 (3), 033001-033001, 2019 | 3 | 2019 |
| Extended Version of" New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI'' RA Lobos, CC Chan, JP Haldar arXiv preprint arXiv:2302.13431, 2023 | 1 | 2023 |
| Local perturbation responses: A tool for understanding the characteristics of advanced nonlinear MR reconstruction algorithms CC Chan, JP Haldar Proc. Int. Soc. Magn. Reson. Med, 684, 2020 | 1 | 2020 |
| Measuring Spatiotemporal Resolution in Real-Time MRI CC Chan, JP Haldar Submitted, 0 | 1 | |
| On Reference-Based Image Quality Assessment in Medical Image Reconstruction: Potential Pitfalls and Possible Solutions CC Chan, J Wang, T Nadeem, P Haldar 2023 57th Asilomar Conference on Signals, Systems, and Computers, 36-39, 2023 | | 2023 |
| Signal and Image Processing Institute RA Lobos, CC Chan, JP Haldar | | 2023 |
| Improved Region-Optimized Virtual Coils for Cartesian Acquisition Geometries CC Chan, C Nguyen, JP Haldar | | |
| Detecting Mouse Squamous Cell Carcinoma from Submicron FF-OCT Images by Deep Learning CJ Ho, M Calderon-Delgado, CC Chan, MY Lin, JW Tjiu, SL Huang, ... | | |
| New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation RA Lobos, CC Chan, JP Haldar | | |
