Publications

2024

  • Oscar Alcazar, Sung-Ting Chuang, Gang Ren, Mitsunori Ogihara, Bobbie-Jo M. Webb-Robertson, Ernesto S. Nakayasu, Peter Buchwald, Midhat H. Abdulreda (2024). A Composite Biomarker Signature of Type 1 Diabetes Risk Identified via Augmentation of Parallel Multi-Omics Data from a Small Cohort. bioRxiv.
  • Yusen Wu, Alex Pissinou Makki, Kevin Padron, Phuong Nguyen, Stephen Dennis, and Yelena Yesha (2024). Blockchain based fine-grained access control for space resource sharing and management. 2024 IEEE International Geoscience and Remote Sensing Symposium.
  • Yusen Wu, Ye Hu, Mingzhe Chen, Yelena Yesha, and Merouane Debbah (2024). Blockchains for Internet of Things: Fundamentals, Applications, and Challenges. IEEE Network Magazine.
  • Hilary Hayssen, Shalini Sahoo, Brian Englum, Minerva Mayorga-Carlin, Tariq Siddiqui, Phuong Nguyen, Aman Kankaria, Yelena Yesha, John Sorkin, and Brajesh Lal. (2024). Clinical factors impacting differences in rates of venous thromboembolism black and white veterans. Journal of Vascular Surgery: Venous and Lymphatic Disorders, 12(3).
  • Nima Khodadadi, Hossein Roghani, Francisco De Caso, El-Sayed M El-kenawy, Yelena Yesha, and Antonio Nanni (2024). Data-driven pso-catboost machine learning model to predict the compressive strength of cfrp-confined circular concrete specimens. Thin-Walled Structures, 198:111763.
  • Ashley Taylor Cook; Amanda J. Debich; Kaitlin E. Frasier; Mitsunori Ogihara; Jeppe H. Rasmussen; Gang Ren; Melissa Soldevilla (2024). Detecting Rice’s Whale (Balaenoptera ricei) Calls in the Gulf of Mexico Using Passive Acoustics and Deep Learning. Submitted to JASA.
  • Yusen Wu, Hao Chen, Alex Pissinou Makki, Phuong Nguyen, and Yelena Yesha (). Efficient data-sketches and fine-tuning for early detection of distributional drift in medical imaging. 2024 IEEE International Conference on Bioinformatics and Biomedicine.
  • Jamie Deng, Yusen Wu, Yelena Yesha, and Phuong Nguyen (2024). Improving vte identification through language models from radiology reports: A comparative study of mamba, phi-3 mini, and bert. IEEE International Conference on Bioinformatics and Biomedicine. 
  • Smriti Prathapan, Ravi K Samala, Nathan Hadjiyski, Pierre-Fran¸cois D’Haese, Fabien Maldonado, Phuong Nguyen, Yelena Yesha, and Berkman Sahiner (2024). Quantifying input data drift in medical machine learning models by detecting change-points in time-series data. Medical Imaging 2024: Computer-Aided Diagnosis, volume 12927, pages 67–76. SPIE.
  • Jerry Bonnell, Oscar Alcaaar, Brandon Watts, Peter Buchwald, Midhat H. Abdulreda, and Mitsunori Ogioara (2024). Supervised Parametric Learning in the Identification of Composite Biomarker Signatures of Type 1 Diabetes in Integrated Parallel Multi-Omics Datasets. Biomedicines 2024, 12(3).
  • Yusen Wu, Phuong Ngyuen, and Yelena Yesha (2024). Tripartite server mutual attestation: Tee-based bft for boosting server reliability in federated learning. 2024 Design Automation Conference (DAC-WIP).

2023

  • Sumeet Menon, Jayalakshmi Mangalagiri, Josh Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, and David Chapman (2023). Ccs-gan: Covid-19 ct scan generation and classification with very few positive training images. Journal of Digital Imaging, 36(4):1376–1389.
  • Yusen Wu, Jamie Deng, Hao Chen, Phuong Nguyen, and Yelena Yesha. (2023). Enabling quartile-based estimated-mean gradient aggregation as baseline for federated image classifications. arXiv preprint arXiv:2309.12267.
  • Hilary Hayssen, Shalini Sahoo, Brian Englum, Phuong Nguyen, Minerva Mayorga-Carlin, Tariq Siddiqui, Jamie Deng, Yelena Yesha, John Sorkin, and Brajesh Lal (2023). Evaluating the ability of caprini and padua scores to predict venous thromboembolism in a nationwide study. Journal of Vascular Surgery: Venous and Lymphatic Disorders, 11(2):457–458.
  • Hilary Hayssen, Shalini Sahoo, Phuong Nguyen, Minerva Mayorga-Carlin, Tariq Siddiqui, Brian Englum, Julia F Slejko, C Daniel Mullins, Yelena Yesha, John D Sorkin (2023). Ability of caprini and padua risk assessment models to predict venous thromboembolism in a nationwide study. medRxiv, pages 2023–03.
  • Phuong Nguyen, Ankita Rathod, David Chapman, Smriti Prathapan, Sumeet Menon, Michael Morris, and Yelena Yesha (2023). Active semi-supervised learning via bayesian experimental design for lung cancer classification using low dose computed tomography scans. Applied Sciences, 13(6):3752.
  • Hilary Hayssen, Shalini Sahoo, Tariq Siddiqui, Phuong Nguyen, Minerva Mayorga-Carlin, Jamie Deng, Brian Englum, Aman Kankaria, Yelena Yesha, John D Sorkin (2023). Assessment of bleeding risk in patients being considered for vte pharmacoprophylaxis in a large nationwide cohort. Journal of Vascular Surgery, 77(6):e45–e46.
  • Jamie Deng, Yusen Wu, Hilary Hayssen, Brain Englum, Aman Kankaria, Minerva Mayorga-Carlin, Shalini Sahoo, John Sorkin, Brajesh Lal, Yelena Yesha (2023). Improving vte identification through adaptive nlp model selection and clinical expert rule-based classifier from radiology reports. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 480–487.
  • Kareem Mahmoud Diab, Jamie Deng, Yusen Wu, Yelena Yesha, Fernando Collado-Mesa, and Phuong Nguyen (2023). Natural language processing for breast imaging: a systematic review. Diagnostics, 13(8):1420.
  • Shalini Sahoo, Hilary Hayssen, Brian Englum, Minerva Mayorga-Carlin, Tariq Siddiqui, Phuong Nguyen, Aman Kankaria, Yelena Yesha, John D Sorkin, and Brajesh K Lal (2023). Prediction of bleeding in patients being considered for venous thromboembolism prophylaxis. Journal of Vascular Surgery: Venous and Lymphatic Disorders, 11(6):1182–1191.
  • Hilary Hayssen, Shalini Sahoo, Brian Englum, Phuong Nguyen, Minerva Mayorga-Carlin, Tariq Siddiqui, Jamie Deng, Yelena Yesha, John Sorkin, and Brajesh Lal (2023). Evaluating the ability of caprini and padua scores to predict venous thromboembolism in a nationwide study. Journal of Vascular Surgery: Venous and Lymphatic Disorders, 11(2):457–458.
  • Hao Chen, Yusen Wu, Phuong Nguyen, Chao Liu, and Yelena Yesha (2023). Soft merging: A flexible and robust soft model merging approach for enhanced neural network performance, arXiv preprint arXiv:2309.12259, 2023.
  • Yusen Wu, Phuong Ngyuen, and Yelena Yesha (2024). Tripartite server mutual attestation: Tee-based bft for boosting server reliability in federated learning. 2024 Design Automation Conference (DAC-WIP).

 

2020
  • S. Menon, J. Galita, D. Chapman, A. Gangopadhyay, J. Mangalagiri, P. Nguyen, Y. Yesha, Y. Yesha, B. Saboury, M. Morris., Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN, 2020.  https://arxiv.org/pdf/2009.12478.pdf
  • James Clavin, Sisi Duan, Haibin Zhang, Vandana P. Janeja, Karuna P. Joshi, Yelena Yesha, Lucy C. Erickson, and Justin D. Li. 2020. Blockchains for Government: Use Cases and Challenges. Digit. Gov.: Res. Pract.  1, 3, Article 22 (November 2020), 21 pages. https://doi.org/10.1145/3427097
  • Sisi Duan, Chao Liu, Xin Wang, Yusen Wu, Shuai Xu, Yelena Yesha, Haibin Zhang, Intrusion-Tolerant and Confidentiality-Preserving Publish/Subscribe Messaging, in proceedings of 39th International Symposium on Reliable Distributed Systems (SRDS 2020).
  • Phuong Nguyen, David Chapman, Sumeet Menon, Michael Morris, Yelena Yesha, Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data, Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113142E (16 March 2020). https://doi.org/10.1117/12.2549655

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