Yiyang Wang

According to our database, Yiyang Wang authored at least 14 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Boosting 30-Day Emergency Department Readmission Predictions with BERT-Powered Community Health Worker Notes.

Ankita Mishra, Charmi Patel, Naveen Kumar Reddy Veeramreddy, Yiyang Wang, John Mazzeo, Jamshid Sourati, Kelly McCabe, Roselyne Tchoua, Jacob Furst, Daniela Raicu

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

2025

Harnessing Generative AI for Lung Nodule Spiculation Characterization.

Yiyang Wang, Charmi Patel, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu

J. Imaging Inform. Medicine, 2025

Enhancing Pulmonary Nodule Localization Based on Latent Representations.

Charmi Patel, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2023

No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes.

Thomas Zeng, Elias Furst, Yiyang Wang, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning.

Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Autorevise: annotation refinement using motion signal patterns.

Jennifer Piane, Yiyang Wang, Xufan Ma, Jacob Furst, Daniela Stan Raicu

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Human-in-the-loop deep learning retinal image classification with customized loss function.

Suhev Shakya, Mariana Vasquez, Yiyang Wang, Roselyne Tchoua, Jacob Furst, Daniela Raicu

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Lung Nodule Malignancy Subtype Discovery with Semantic Learning.

Yiyang Wang, Bowen Qiu, Thiruvarangan Ramaraj, Ilyas Ustun, Jacob Furst, Daniela Raicu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Drusen segmentation with sparse volumetric SD-OCT sampling.

Abum Okemgbo, David Rein, Yiyang Wang, Amani A. Fawzi, Jacob Furst, Daniela Raicu

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features.

Yiyang Wang, Xufan Ma, Rob Weddell, Abum Okemgbo, David Rein, Amani A. Fawzi, Jacob Furst, Daniela Raicu

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Explainable Deep Learning for Biomarker Classification of OCT Images.

Yiyang Wang, Mirtha Lucas, Jacob Furst, Amani A. Fawzi, Daniela Raicu

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

Identifying Diagnostically Complex Cases Through Ensemble Learning.

Yan Yu, Yiyang Wang, Jacob Furst, Daniela Raicu

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Augmenting Frame-based with Window-based Features for C. elegans Movement Classification.

Jennifer Piane, Yiyang Wang, Timothy Cheung, Hongkyun Kim, Jacob Furst, Daniela Raicu

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2016

C. elegans search behavior analysis using Multivariate Dynamic Time Warping.

Yiyang Wang, Carleton Smith, Mingfei Shao, Li Huang, Jacob Furst, Daniela Raicu, Hongkyun Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016