Yu Gan

• PhD (2017) Columbia University (Electrical Engineering)

• Working Group on SES Core AI Graduate Curriculum Member
• Data Science Committee Member
• Faculty Search Committee Member
• Departmental Graduate Curriculum Committee Member
• Advisor BMES Student Chapter Chair
• Departmental Undergraduate Curriculum Committee Member

• Medical Image Analysis Associate Editor
• NIH ITD Study Section Panel reviewer
• IEEE Biomedical and Health Informatics Organization Chair of special sessions
• IEEE International Symposium in Biomedical Imaging (ISBI) Organization Chair of special sessions
• USDA/NIFA Panel Reviewer
• NSF graduate research fellowship Panel reviewer
• IEEE-EMBS International Conference on Body Sensor Networks Technical Program Committee Member
• Brain Informatics Organization Co-Chair
• NSF Smart Health Sensing Panel Panel Reviewer
• NIH CIDH study section Panel Reviewer
• SPIE Medical Imaging 2023 Program Committee and Reviewer
• Frontiers in Physics Guest Topic Editor
• IEEE Transactions on Image Processing Reviewer
• IEEE Journal of Biomedical Health Informatics Reviewer
• IEEE Transactions on Medical Imaging Reviewer
• Biomedical Optics Express Reviewer
• BMES 2022 Reviewer
• MICCAI 2022, the 25th International Conference on Medical Image Computing and Computer Assisted Intervention Reviewer
• SPIE Medical Imaging 2022 Program Committee member, reviewer, and, session chair
• NSF CISE review panel Panel reviewer
• NIH BIVT study section Panel reviewer

• SPIE – Society of Photo-Optical Instrumentation Engineers Senior member
• ARVO – Association for Research in Vision and Ophthalmology Member
• Optica – Optica Member
• IEEE – Institute of Electrical and Electronics Engineers Member
• BMES – Biomedical Engineering Society Member

Conference Proceeding

1. Li, X.; Shamouil, A.; Hou, X.; Brott, B. C.; Litovsky, S. H.; Ling, Y.; Gan, Y. (2024). Cross-Platform Super-Resolution for Human Coronary Oct Imaging Using Deep Learning. 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1--5).
2. Shih, M.; Wang, J.; Yu, X.; Gan, Y. (2024). Deep Learning-based Automated Cell Viability Measurement in Tissue Scaffold using OCT. Optical Coherence Tomography (pp. JM4A--12).
3. Huang, Z.; Liu, H.; Zhang, H.; Xing, F.; Laine, A.; Angelini, E.; Hendon, C.; Gan, Y. (2024). Label refinement for noisy annotation in weakly supervised segmentation. Medical Imaging 2024: Image Processing (vol. 12926, pp. 207--211).
4. Li, X.; Gan, Y.; Duan, D.; Yang, X. (2024). Simulation of manual and automatic navigation of magnetically controlled wireless capsule endoscopy examination of human gastric. Endoscopic Microscopy XIX (vol. 12820, pp. 26--31).
5. Song, J.; Shrestha, S.; Li, X.; Gan, Y.; Fu, X. (2024). Translation Identifiability-Guided Unsupervised Cross-Platform Super-Resolution for OCT Images. 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM) (pp. 1--5).
6. Li, X.; Liu, H.; Song, X.; Brott, B. C.; Litovsky, S. H.; Gan, Y. (2023). Structural constrained virtual histology staining for human coronary imaging using deep learning. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1--5).
7. Li, X.; Gan, Y.; Duan, D.; Yang, X. (2023). Detecting and Measuring Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1-5).
8. Li, X.; Gan, Y.; Duan, D.; Yang, X. (2023). Detecting human gastric peristalsis using magnetically controlled capsule endoscope via deep learning. Medical Imaging 2023: Image Processing (vol. 12464, pp. 325--329).
9. Liu, H.; Bamba, A. L.; Gan, Y. (2023). Uncertainty measurement and confidence calibration for calcium detection in optical coherence images. Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII (vol. 12367, pp. 183--185).
10. Li, X.; Holiday, S.; Cribbet, M.; Bharadwaj, A.; White, S.; Sazonov, E.; Gan, Y. (2022). Non-Invasive Screen Exposure Time Assessment Using Wearable Sensor and Object Detection. IEEE EMBC 2022.
11. Tang, Y.; Li, Y.; Liu, H.; Li, J.; Jin, P.; Gan, Y.; Ling, Y.; Su, Y. (2022). Multi-scale sparse representation-based shadow inpainting for retinal OCT images. Medical Imaging 2022: Image Processing (vol. 12032, pp. 9--17).
12. Li, J.; Ling, Y.; He, J.; Jin, P.; Zhu, J.; Zou, H.; Xu, X.; Shao, S.; Gan, Y.; Su, Y. (2021). A GCN-assisted deep learning method for peripapillary retinal layer segmentation in OCT images. Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV (vol. 11630, pp. 13--18).
13. Huang, Z.; Gan, Y.; Lye, T.; Liu, Y.; Laine, A.; Angelini, E.; Hendon, C. (2021). Automated adipose segmentation within cardiac optical coherence tomography images. Diagnostic and Therapeutic Applications of Light in Cardiology 2021. SPIE Photonics West (vol. 11621, pp. 1162107). SPIE.
14. Huang, Z.; Zhang, H.; Laine, A.; Angelini, E.; Hendon, C.; Gan, Y. (2021). Co-seg: an image segmentation framework against label corruption. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 550--553).
15. Gregory, S.; Cheng, H.; Newman, S.; Gan, Y. (2021). HydraNet: a multi-branch convolutional neural network architecture for MRI denoising. SPIE Medical Imaging 2021: Image Processing (vol. 11596, pp. 881--889).
16. Ling, Y.; Wang, M.; Gan, Y.; Yao, X.; Schmetterer, L.; Zhou, C.; Su, Y. (2021). Modelling the shift-variance in Fourier-domain optical coherence tomography. 2021 Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV (vol. 11630, pp. 1163025).
17. Ling, Y.; Wang, M.; Gan, Y.; Yao, X.; Schmetterer, L.; Zhou, C.; Su, Y. (2020). A Mixed-Signal Framework for Modelling Fourier-Domain Optical Coherence Tomography. Asia Communications and Photonics Conference (pp. T4A--3).
18. Huang, Z.; Gan, Y.; Lye, T.; Zhang, H.; Laine, A.; Angelini, E. D.; Hendon, C. (2020). Heterogeneity measurement of cardiac tissues leveraging uncertainty information from image segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 782--791).
19. Huang, Z.; Gan, Y.; Lye, T.; Theagene, D.; Chintapalli, S.; Virdi, S.; Laine, A.; Angelini, E.; Hendon, C. P. (2020). Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp. 1--4).
20. Cao, S.; Yao, X.; Koirala, N.; Brott, B.; Litovsky, S.; Ling, Y.; Gan, Y. (2020). Super-resolution technology to simultaneously improve optical \& digital resolution of optical coherence tomography via deep learning. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) (pp. 1879--1882).
21. Mojahed, D.; Chang, P.; Gan, Y.; Yao, X.; Angelini, B.; Hibshoosh, H.; Ha, R.; Hendon, C. P. (2019). Convolutional neural network (cnn) classification of breast cancer in optical coherence tomography (oct) images. Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII (vol. 10867, pp. 36--42).
22. Gan, Y.; Yang, J.; Smith, B.; Balte, P.; Hoffman, E.; Hendon, C.; Barr, R. G.; Laine, A. F.; Angelini, E. D. (2019). Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 1212--1215).
23. Gan, Y.; Lye, T.; Yao, X.; Marboe, C. C.; Hendon, C. P. (2018). Characterization of human endomyocardium using a human cardiac optical coherence tomography atlas. OSA Biomed Optical Tomography and Spectroscopy (pp. OTh2D--6).
24. Ji, X.; Klenner, A.; Yao, X.; Gan, Y.; Gaeta, A. L.; Hendon, C. P.; Lipson, M. (2018). Chip-Based Frequency Combs for High-Resolution Optical Coherence Tomography. CLEO: Science and Innovations (pp. STh1J--4).
25. Yao, X.; Gan, Y.; Ling, Y.; Marboe, C. C.; Hendon, C. P. (2018). Functional endomyocardial imaging by single-channel high resolution cross-polarization OCT (Conference Presentation). Diagnostic and Therapeutic Applications of Light in Cardiology 2018 (vol. 10471, pp. 104710K).
26. Gan, Y.; Yao, X.; Chang, E. W.; Amir, Syed A Bin; Hibshoosh, H.; Feldman, S.; Hendon, C. P. (2017). Automated adipose study for assessing cancerous human breast tissue using optical coherence tomography (Conference Presentation). Diagnosis and Treatment of Diseases in the Breast and Reproductive System (vol. 10043, pp. 32--32).
27. Gan, Y.; Yao, X.; Tsay, D.; Marboe, C. C.; Hendon, C. P. (2017). Characterization of ventricular endomyocardial tissue using optical coherence tomography. Diagnostic and Therapeutic Applications of Light in Cardiology (vol. 10042, pp. 27--33).
28. Gan, Y.; Yao, W.; Myers, K. M.; Vink, J. Y.; Wapner, R. J.; Hendon, C. P. (2017). Longitudinal analysis on human cervical tissue using optical coherence tomography (Conference Presentation). Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI (vol. 10053, pp. 76--76).
29. Lye, T. H.; Gan, Y.; Hendon, C. P. (2017). Mapping the human atria with optical coherence tomography. Diagnostic and Therapeutic Applications of Light in Cardiology (vol. 10042, pp. 15--21).
30. Gan, Y.; Yao, X.; Chang, E.; Amir, S. B.; Hibshoosh, H.; Feldman, S.; Hendon, C. P. (2016). Comparative study of texture features in OCT images at different scales for human breast tissue classification. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3926--3929).
31. Gan, Y.; Yao, W.; Myers, K. M.; Vink, J. Y.; Wapner, R. J.; Hendon, C. P. (2016). Dispersion analysis of collagen fiber networks in cervical tissue using optical coherence tomography (Conference Presentation). Photonic Therapeutics and Diagnostics XII (vol. 9689, pp. 394--394).
32. Meiniel, W.; Gan, Y.; Hendon, C. P.; Olivo-Marin, J.; Laine, A.; Angelini, E. D. (2016). Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (pp. 373--376).
33. Gan, Y.; Gutbrod, S. R.; Efimov, I. R.; Hendon, C. P. (2016). Towards geometric modeling of the atria using optical coherence tomography. Clinical and Translational Biophotonics (pp. JM3A--26).
34. Gan, Y.; Angelini, E.; Laine, A.; Hendon, C. (2015). BM3D-based ultrasound image denoising via brushlet thresholding. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) (pp. 667--670).
35. Gan, Y.; Yao, W.; Myers, K. M.; Hendon, C. P. (2014). An automated 3D registration method for optical coherence tomography volumes. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3873--3876).

Journal Article

1. Jeong, N.; Gan, Y.; Kong, L. (2024). Emerging non-invasive microwave and millimeter-wave imaging technologies for food inspection. Critical Reviews in Food Science and Nutrition (pp. 1--12). Taylor \& Francis.
2. Ahmed, M.; Mustafa, H.; Wu, M.; Babaei, M.; Kong, L.; Jeong, N.; Gan, Y. (2024). Few shot learning for avocado maturity determination from microwave images. Journal of agriculture and Food Research (vol. 15, pp. 100977). Elsevier.
3. Li, X.; Liu, H.; Song, X.; Marboe, C. C.; Brott, B. C.; Litovsky, S. H.; Gan, Y. (2024). Structurally constrained and pathology-aware convolutional transformer generative adversarial network for virtual histology staining of human coronary optical coherence tomography images. Journal of Biomedical Optics (3 ed., vol. 29, pp. 036004--036004). Society of Photo-Optical Instrumentation Engineers.
4. Li, X.; Dong, Z.; Liu, H.; Kang-Mieler, J.; Ling, Y.; Gan, Y. (2023). Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network. Biomedical Optics Express (vol. 14, pp. 5148-5161PMCID: PMC10370219).
5. Cao, S.; Ko, M.; Li, C.; Brown, D.; Wang, X.; Hu, F.; Gan, Y. (2023). Single-Belt Versus Split-Belt: Intelligent Treadmill Control via Microphase Gait Capture for Poststroke Rehabilitation. IEEE transactions on human-machine systems. IEEE.
6. Miao, B.; Hu, Z.; Mezzadra, R.; Hoeijmakers, L.; Fauster, A.; Du, S.; Yang, Z.; Sator-Schmitt, M.; Engel, H.; Li, X.; Broderick, C.; Jin, G.; Gomez-Eerland, R.; Rozeman, L.; Lei, X.; Matsuo, H.; Yang, C.; Hofland, I.; Peters, D.; Broeks, A.; Laport, E.; Fitz, A.; Zhao, X.; Mahmoud, M. A.; Ma, X.; Sander, S.; Liu, H.; Cui, G.; Gan, Y.; Wu, W.; Xiao, Y.; Heck, A. J.; Guan, W.; Lowe, S. W.; Horlings, H. M.; Wang, C.; Brummelkamp, T. R.; Blank, C. U.; Schumacher, T. N.; Sun, C. (2023). CMTM6 shapes antitumor T cell response through modulating protein expression of CD58 and PD-L1. Cancer Cell.
   https://doi.org/10.1016/j.ccell.2023.08.008.
7. Huang, Z.; Gan, Y.; Lye, T.; Liu, Y.; Zhang, H.; Laine, A.; Angelini, E.; Hendon, C. (2023). Cardiac Adipose Tissue Segmentation via Image-Level Annotations. IEEE Journal of Biomedical and Health Informatics. IEEE.
8. Ling, Y.; Dong, Z.; Li, X.; Gan, Y.; Su, Y. (2023). Deep learning empowered highly compressive SS-OCT via learnable spectral--spatial sub-sampling. Optics Letters (7 ed., vol. 48, pp. 1910--1913). Optica Publishing Group.
9. Liu, H.; Li, X.; Bamba, A. L.; Song, X.; Brott, B. C.; Litovsky, S. H.; Gan, Y. (2023). Toward reliable calcification detection: calibration of uncertainty in object detection from coronary optical coherence tomography images. Journal of Biomedical Optics (3 ed., vol. 28, pp. 036008--036008). Society of Photo-Optical Instrumentation Engineers.
10. Wang, M.; Ling, Y.; Dong, Z.; Yao, X.; Gan, Y.; Zhou, C.; Su, Y. (2023). GPU-accelerated iterative method for FD-OCT image reconstruction with an image-level cross-domain regularizer. Optics Express (2 ed., vol. 31, pp. 1813--1831). Optica Publishing Group.
11. Garvin, J.; Abushakra, F.; Choffin, Z.; Shiver, B.; Gan, Y.; Kong, L.; Jeong, N. (2023). Microwave imaging for watermelon maturity determination. Current Research in Food Science (vol. 6, pp. 100412). Elsevier.
12. Li, X.; Cao, S.; Liu, H.; Yao, X.; Brott, B. C.; Litovsky, S. H.; Song, X.; Ling, Y.; Gan, Y. (2022). Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning. IEEE Transactions on Biomedical Engineering. IEEE.
13. Chen, X.; Zhang, S.; Gan, Y.; Liu, R.; Wang, R.; Du, K. (2022). Understanding microbeads stacking in deformable Nano-Sieve for Efficient plasma separation and blood cell retrieval. Journal of Colloid and Interface Science (vol. 606, pp. 1609--1616). Academic Press.
14. Kim, S.; Gan, Y.; Irizarry, J. (2021). Framework for UAS-integrated airport runway design code compliance using incremental mosaic imagery. Journal of Computing in Civil Engineering (2 ed., vol. 35, pp. 04020070). American Society of Civil Engineers.
15. Liu, H.; Cao, S.; Ling, Y.; Gan, Y. (2021). Inpainting for saturation artifacts in optical coherence tomography using dictionary-based sparse representation. IEEE photonics journal (2 ed., vol. 13). NIH Public Access.
16. Li, J.; Jin, P.; Zhu, J.; Zou, H.; Xu, X.; Tang, M.; Zhou, M.; Gan, Y.; He, J.; Ling, Y.; others (2021). Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and discs in peripapillary OCT images. Biomedical Optics Express (4 ed., vol. 12, pp. 2204--2220). Optica Publishing Group.
17. Ling, Y.; Wang, M.; Gan, Y.; Yao, X.; Schmetterer, L.; Zhou, C.; Su, Y. (2020). Beyond Fourier transform: Break the axial resolution limit in optical coherence tomography. arXiv preprint arXiv:2001.03129.
18. Ling, Y.; Wang, M.; Yao, X.; Gan, Y.; Schmetterer, L.; Zhou, C.; Su, Y. (2020). Effect of spectral leakage on the image formation of Fourier-domain optical coherence tomography. Optics Letters (23 ed., vol. 45, pp. 6394--6397). Optica Publishing Group.
19. Mojahed, D.; Ha, R. S.; Chang, P.; Gan, Y.; Yao, X.; Angelini, B.; Hibshoosh, H.; Taback, B.; Hendon, C. P. (2020). Fully automated postlumpectomy breast margin assessment utilizing convolutional neural network based optical coherence tomography image classification method. Academic radiology (5 ed., vol. 27, pp. e81--e86). Elsevier.
20. Chen, X.; Miller, A.; Cao, S.; Gan, Y.; Zhang, J.; He, Q.; Wang, R.; Yong, X.; Qin, P.; Lapizco-Encinas, B. H.; others (2020). Rapid escherichia coli trapping and retrieval from bodily fluids via a three-dimensional bead-stacked nanodevice. ACS applied materials \& interfaces (7 ed., vol. 12, pp. 7888--7896). American Chemical Society.
21. Shi, L.; Yao, W.; Gan, Y.; Zhao, L. Y.; Eugene McKee, W.; Vink, J.; Wapner, R. J.; Hendon, C. P.; Myers, K. (2019). Anisotropic material characterization of human cervix tissue based on indentation and inverse finite element analysis. Journal of biomechanical engineering (9 ed., vol. 141). American Society of Mechanical Engineers Digital Collection.
22. Gan, Y.; Lye, T. H.; Marboe, C. C.; Hendon, C. P. (2019). Characterization of the human myocardium by optical coherence tomography. Journal of biophotonics (12 ed., vol. 12, pp. e201900094). WILEY-VCH Verlag GmbH \& Co. KGaA Weinheim.
23. Ji, X.; Yao, X.; Klenner, A.; Gan, Y.; Gaeta, A. L.; Hendon, C. P.; Lipson, M. (2019). Chip-based frequency comb sources for optical coherence tomography. Optics express (14 ed., vol. 27, pp. 19896--19905). Optical Society of America.
24. Chen, X.; Cao, S.; Gan, Y.; Zhang, J.; He, Q.; Wang, R.; Yong, X.; Qin, P.; Lapizco-Encinas, B.; Du, K.; others (2019). Efficient Escherichia coli (E. coli) Trapping and Retrieval from Bodily Fluids via a Three-Dimensional (3D) Microbeads Stacked Nano-Device.
25. McLean, J. P.; Gan, Y.; Lye, T. H.; Qu, D.; Lu, H. H.; Hendon, C. P. (2019). High-speed collagen fiber modeling and orientation quantification for optical coherence tomography imaging. Optics Express (10 ed., vol. 27, pp. 14457--14471). Optica Publishing Group.
26. Hendon, C. P.; Lye, T. H.; Yao, X.; Gan, Y.; Marboe, C. C. (2019). Optical coherence tomography imaging of cardiac substrates. Quantitative imaging in medicine and surgery (5 ed., vol. 9, pp. 882). AME Publications.
27. Yao, X.; Gan, Y.; Ling, Y.; Marboe, C. C.; Hendon, C. P. (2018). Multicontrast endomyocardial imaging by single-channel high-resolution cross-polarization optical coherence tomography. Journal of biophotonics (4 ed., vol. 11, pp. e201700204). WILEY-VCH Verlag GmbH \& Co. KGaA Weinheim.
28. Ling, Y.; Gan, Y.; Yao, X.; Hendon, C. P. (2017). Phase-noise analysis of swept-source optical coherence tomography systems. Optics letters (7 ed., vol. 42, pp. 1333--1336). Optica Publishing Group.
29. Yao, X.; Gan, Y.; Chang, E.; Hibshoosh, H.; Feldman, S.; Hendon, C. (2017). Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT. Lasers in surgery and medicine (3 ed., vol. 49, pp. 258--269).
30. Gan, Y.; Tsay, D.; Amir, S. B.; Marboe, C. C.; Hendon, C. P. (2016). Automated classification of optical coherence tomography images of human atrial tissue. Journal of biomedical optics (10 ed., vol. 21, pp. 101407). SPIE.
31. Yao, W.; Gan, Y.; Myers, K. M.; Vink, J. Y.; Wapner, R. J.; Hendon, C. P. (2016). Collagen fiber orientation and dispersion in the upper cervix of non-pregnant and pregnant women. PloS one (11 ed., vol. 11, pp. e0166709). Public Library of Science San Francisco, CA USA.
32. Yao, X.; Gan, Y.; Marboe, C. C.; Hendon, C. P. (2016). Myocardial imaging using ultrahigh-resolution spectral domain optical coherence tomography. Journal of biomedical optics (6 ed., vol. 21, pp. 061006). SPIE.
33. Yao, F.; Gan, Y.; Myers, K. M.; Vink, J. Y.; Wapner, R. J.; Hendon, C. P. (2016). Supplemental Data: Collagen Fiber Orientation and Dispersion in the Upper Cervix of Non-Pregnant and Pregnant Women.
34. Myers, K. M.; Hendon, C. P.; Gan, Y.; Yao, W.; Yoshida, K.; Fernandez, M.; Vink, J.; Wapner, R. J. (2015). A continuous fiber distribution material model for human cervical tissue. Journal of biomechanics (9 ed., vol. 48, pp. 1533--1540). Elsevier.
35. Gan, Y.; Yao, W.; Myers, K. M.; Vink, J. Y.; Wapner, R. J.; Hendon, C. P. (2015). Analyzing three-dimensional ultrastructure of human cervical tissue using optical coherence tomography. Biomedical optics express (4 ed., vol. 6, pp. 1090--1108). Optica Publishing Group.
36. Gan, Y.; Yao, W. (2015). Kristin. M Myers, Joy Y. Vink, Ronald. J. Wapner, Christine P. Hendon," Analyzing three-dimensional ultrastructure of human cervical tissue using optical coherence tomography," Biomed. Opt. Express (vol. 6, pp. 1090--1108).
37. Gan, Y.; McLean, J. P.; Hendon, C. P. (2015). OCT Volume Stitching \& Blending Toolbox.
38. Tsay, D.; Gan, Y.; Marboe, C. C.; Hendon, C. (2014). TCT-379 Feasibility of Endomyocardial Imaging Using Optical Coherence Tomography For the Diagnosis of Myocardial Disease. Journal of the American College of Cardiology (11S ed., vol. 64, pp. B111--B111). American College of Cardiology Foundation Washington, DC.
39. Gan, Y.; Fleming, C. P. (2013). Extracting three-dimensional orientation and tractography of myofibers using optical coherence tomography. Biomedical optics express (10 ed., vol. 4, pp. 2150--2165). Optica Publishing Group.
40. Gan, Y.; Xu, Q. (2010). An improved SoS method for generating multiple uncorrelated Rayleigh fading waveforms. IEEE communications letters (7 ed., vol. 14, pp. 641--643). IEEE.