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I'm currently a Neuroscience PhD student at the University of Southern California. My research interests are developing deep generative models for tract-based diffusion imaging analysis, to help understand structural changes in white matter tracts in various neurodegenerative and psychiatric diseases, and their relationship with non-imaging biomarkers.
Education
2021-Expected 2026
Ph.D., Neuroscience
University of Souther California.šLos Angeles, CA
2019-2021
MS.E., Computer and Information Science (CIS), GPA: 3.94/4
University of Pennsylvania.šPhiladelphia, PA
2015-2019
BA, Computer Science and Cognitive Science, GPA: 3.77/4
University of Virginia.šCharlottesville, VA
Publications
Journal
- Feng, Y., Kim, M., Yao, X., Liu, K., Long, Q., Shen, L., & for the Alzheimerās Disease Neuroimaging Initiative. (2022). Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. BMC Bioinformatics, 23(S3), 402. https://doi.org/10.1186/s12859-022-04946-x
- Zhang, X., Feng, Y., Li, F., Ding, J., Tahseen, D., Hinojosa, E., Chen, Y., & Tao, C. (2024). Evaluating MedDRA-to-ICD terminology mappings. BMC Medical Informatics and Decision Making, 23(S4), 299. https://doi.org/10.1186/s12911-023-02375-1
Conference Proceedings
- Feng, Y., Chandio, B. Q., VillalĆ³n-Reina, J. E., Thomopoulos, S. I., Joshi, H., Nair, G., Joshi, A. A., Venkatasubramanian, G., John, J. P., & Thompson, P. M. (2023). BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data. In M. Karaman, R. Mito, E. Powell, F. Rheault, & S. Winzeck (Eds.), Computational Diffusion MRI (Vol. 14328, pp. 152ā164). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47292-3_14
- Feng, Y., Chandio, B. Q., Chattopadhyay, T., Thomopoulos, S. I., Owens-Walton, C., Jahanshad, N., Garyfallidis, E., & Thompson, P. M. (2023). Learning optimal white matter tract representations from tractography using a deep generative model for population analyses. In M. G. Linguraru, L. Rittner, N. Lepore, E. Romero Castro, J. Brieva, & P. Guevara (Eds.), 18th International Symposium on Medical Information Processing and Analysis (p. 48). SPIE. https://doi.org/10.1117/12.2670244
- Feng, Y., Kim, M., Yao, X., Liu, K., Long, Q., & Shen, L. (2020). Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 308ā314. https://doi.org/10.1109/BIBE50027.2020.00057
Pre-print
- Feng, Y., Chandio, B. Q., Villalon-Reina, J. E., Benavidez, S., Chattopadhyay, T., Chehrzadeh, S., Laltoo, E., Thomopoulos, S. I., Joshi, H., Venkatasubramanian, G., John, J. P., Jahanshad, N., & Thompson, P. M. (2024). Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimerās Disease [Preprint]. Neuroscience. https://doi.org/10.1101/2024.02.05.578943
- Chandio, B. Q., Villalon-Reina, J. E., Nir, T. M., Thomopoulos, S. I., Feng, Y., Benavidez, S., Jahanshad, N., Harezlak, J., Garyfallidis, E., & Thompson, P. M. (2024). Bundle Analytics based Data Harmonization for Multi-Site Diffusion MRI Tractometry [Preprint]. Neuroscience. https://doi.org/10.1101/2024.02.03.578764
- Chattopadhyay, T., Joshy, N. A., Ozarkar, S. S., Buwa, K., Feng, Y., Laltoo, E., Thomopoulos, S. I., Villalon, J. E., Joshi, H., Venkatasubramanian, G., John, J. P., & Thompson, P. M. (2024). Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts [Preprint]. Neuroscience. https://doi.org/10.1101/2024.02.04.578829
- Feng, Y., Chandio, B. Q., Thomopoulos, S. I., & Thompson, P. M. (2023). Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting [Preprint]. Neuroscience. https://doi.org/10.1101/2023.02.24.529954
- Homdee, N., Boukhechba, M., Feng, Y. W., Kramer, N., Lach, J., & Barnes, L. E. (2019). Enabling Smartphone-based Estimation of Heart Rate. ArXiv:1912.08910 [Cs, Eess, Stat]. http://arxiv.org/abs/1912.08910
Poster/Abstract
- Feng, Y., Chandio, B. Q., Villalon-Reina, J. E., Thomopoulos, S. I., Joshi, H., Venkatasubramanian, G., John, J. P., & Thompson, P. M. (2023). Alzheimerās Disease Effects on White Matter Tracts Mapped using 3D Tractometry in an Indian Cohort. Presented at SfN 2023, Nov. 2023.
- Feng Y, Chandio ,B. Q., Garyfallidis, E., Thompson, P.M. (2023) Detecting Structural Anomalies in Tractography using Deep Variational Autoencoders. Presented at OHBM 2023, Jul. 2023.
- Feng, Y., Chandio, B. Q., Chattopadhyay, T., Thomopoulos, S. I., OwensāWalton, C., Garyfallidis, E., Jahanshad, N., & Thompson, P. M. (2022). Learning Streamline Embeddings with Variational Autoencoder for Intersubject Bundle Comparison in Alzheimerās Disease. Alzheimerās & Dementia, 18(S5). https://doi.org/10.1002/alz.066204
- Feng Y, Chandio ,B. Q., Chattopadhyay, T., Thomopoulos, S. I. , Owens-Walton, C., Jahanshad, N., Garyfallidis, E., Thompson, P.M. (2022). Deep generative model for learning tractography streamline embeddings based on Convolutional Variational Autoencoder. ISMRM 2022, London, England, UK, May 07-12, 2022.
- Feng, Y., Kim, M., Liu, K., Saykin, A. J., Moore, J. H., Long, Q., & Shen, L. (2021). Identifying multimodal imagingādriven subtypes in mild cognitive impairment using deep multiview learning. Alzheimerās & Dementia, 17(S4). https://doi.org/10.1002/alz.052718
Presentations
Jun 2022
Learning meaningful white matter tract representations from tractography using deep generative model.
Neuroscience Graduate Forum, University of Southern California. šLos Angeles, CA.
Aug 2021
Deep Multiview Learning to Identify Imaging-driven Subtypes in Mild Cognitive Impairment.
International Conference on Intelligent Biology and Medicine (ICIBM 2021).š Virtual.
Mar 2021
Identifying Alzheimer's Disease Population Structure From Multimodal Imaging Using Deep Multiview Learning Framework.
Third Annual DBEI & CCEB Research Day at University of Pennsylvania.š Virtual.
Aug 2018
*Improving MedDRA to ICD Mapping Coverage: Current Gaps and Future Mapping Strategies*.
Cancer Prevention Research Institute of Texas (CPRIT) Undergraduate Summer Program.š Houston, TX.
Honor & Awards
Nov 2022
Aug 2021
Travel Award, International Conference on Intelligent Biology and Medicine (ICIBM)
š Philadelphia PA.