I am a postdoctoral research fellow from Imaging Biomarkers and Computer-Aided Diagnosis Laboratory at NIH Clinical Center. My research is in the area of medical imaging analysis, focusing on the development of large-scale datasets and innovative computational tools to enhance clinical efficiency and streamline clinical workflows.

News

1. Papers submitted to Radiology, IEEE TMI, and MIDL2024 - 02/24
2. Papers accepted at CMIG and IEEE TPAMI - 01/24
3. Papers accepted at MICCAI2023, DGM4MICCAI2023, and RSNA2023 - 09/23
4. Papers submitted to Pattern Recognition, CMIG, RSNA23 - 06/23
5. Papers accepted at IEEE JBHI and IEEE TMBE - 06/23

^{Last update: 03/2024}

Recent Publications

1. Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, and Ronald M. Summers. "Semantic Image Synthesis for Abdominal CT." accepted at Deep Generative Models workshop at MICCAI 2023.
2. Yan Zhuang, Benjamin Hou, Pritam Mukherjee and Ronald M. Summers. "Evaluating the Segment Anything Model for MRI Organ Segmentation Using a Simulated Interactive Setup." accepted at Radiological Society of North America Annual Meeting 2023.
3. Ahmed H. Shahin, Yan Zhuang, and Noha El-Zehiry. "From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation." arXiv preprint arXiv:2303.11041 (2023), accepted at MICCAI23 (work done during Siemens Healthineers research internship).
4. Mohamed Abul Hassan, Xuwang Yin*, Yan Zhuang*, Chad M. Aldridge, Timothy McMurry, Andrew M. Southerland, and Gustavo K. Rohde. "A Digital Camera-based Eye Movement Assessment Method for NeuroEye Examination." IEEE Journal of Biomedical and Health Informatics (2023). * equal contribution
5. Mohamed Abul Hassan, Chad M. Aldridge, Yan Zhuang, Xuwang Yin, Timothy McMurry, Gustavo K. Rohde, and Andrew M. Southerland. "Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-Tracker." IEEE Transactions on Biomedical Engineering (2022).

Selected Publications

1. Yan Zhuang, Shiying Li, Mohammad Shifat-E-Rabbi, Abu Hasnat Mohammad Rubaiyat, Xuwang Yin, and Gustavo K. Rohde. "Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition." arXiv preprint arXiv:2201.02980 (2022).
2. Mohammad Shifat-E-Rabbi, Yan Zhuang, Shiying Li, Abu Hasnat Mohammad Rubaiyat, Xuwang Yin, and Gustavo K. Rohde. "Invariance encoding in sliced-Wasserstein space for image classification with limited training data." Pattern Recognition 137 (2023): 109268.
3. Yan Zhuang, Mark McDonald, Chad Aldridge, Mohamed Abul Hassan, Omar Uribe, Daniel Arteaga, Andrew Southerland, Gustavo Rohde. "Video-based Facial Weakness Analysis." IEEE Transactions on Biomedical Engineering (2021).
4. Yan Zhuang, Mark McDonald, Omar Uribe, Xuwang Yin, Dhyey Parikh, Andrew M. Southerland, and Gustavo Rohde. "Facial Weakness Analysis and Quantification Of Static Images." IEEE Journal of Biomedical and Health Informatics (2020).
5. Feng Lin, Yan Zhuang, Chen Song, Aosen Wang, Yiran Li, Changzhan Gu, Changzhi Li, and Wenyao Xu, "SleepSense: a Noncontact and Cost-effective Sleep Monitoring System", IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), vol. 11, issue 1, pp 189 - 202, 2017.
6. Yan Zhuang, Chen Song, Aosen Wang, Feng Lin, Yiran Li, Changzhan Gu, Changzhi Li, and Wenyao Xu, "Non-invasive Sleep Event Recognition Using An Electromagnetic Probe", IEEE 12th Annual Body Sensor Networks Conference (BSN 15), Boston, Massachusetts, June 2015.

You can also find my full publication here or check out my Google Scholar profile.

Professional Service and Award

• University of Virginia Engineering Research Symposium 2021 Finalist, NSF BHI2019 Travel Award, ACM MobiHoc2015 Student Travel Grant
• Reviewer: Journal of Medical Imaging, IEEE JBHI Journal, MIA Journal, JAMIA Journal, MICCAI2023, MIDL2023, IEEE ISBI2023, NeurIPS ML4H, NeurIPS TS4H, NeuroImage, IEEE TSC, IEEE INFOCOM, ACM IMWUT, IEEE&ACM CHASE, IEEE Access.

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