C. elegans search behavior analysis using Multivariate Dynamic Time Warping. - Yiyang Wang 003; Carleton Smith; Mingfei Shao; Li Huang; Jacob Furst 001; Daniela Raicu; Hongkyun Kim (BIBM, 2016)

Augmenting Frame-based with Window-based Features for C. elegans Movement Classification. - Jennifer Piane; Yiyang Wang 003; Timothy Cheung; Hongkyun Kim; Jacob Furst 001; Daniela Raicu (BHI, 2019)

Identifying Diagnostically Complex Cases Through Ensemble Learning. - Yan Yu; Yiyang Wang 003; Jacob Furst 001; Daniela Raicu (ICIAR (2), 2019)

Explainable Deep Learning for Biomarker Classification of OCT Images. - Yiyang Wang 003; Mirtha Lucas; Jacob Furst 001; Amani A. Fawzi; Daniela Raicu (BIBE, 2020)

Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features. - Yiyang Wang 003; Xufan Ma; Rob Weddell; Abum Okemgbo; David Rein; Amani A. Fawzi; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2020)

Drusen segmentation with sparse volumetric SD-OCT sampling. - Abum Okemgbo; David Rein; Yiyang Wang 003; Amani A. Fawzi; Jacob Furst 001; Daniela Raicu (Image Processing, 2021)

Lung Nodule Malignancy Subtype Discovery with Semantic Learning. - Yiyang Wang 003; Bowen Qiu; Thiruvarangan Ramaraj; Ilyas Ustun; Jacob Furst 001; Daniela Raicu (ICPR, 2022)

Human-in-the-loop deep learning retinal image classification with customized loss function. - Suhev Shakya; Mariana Vasquez; Yiyang Wang 003; Roselyne Tchoua; Jacob Furst 001; Daniela Raicu (Computer-Aided Diagnosis, 2022)

Autorevise: annotation refinement using motion signal patterns. - Jennifer Piane; Yiyang Wang 003; Xufan Ma; Jacob Furst 001; Daniela Stan Raicu (SAC, 2022)

Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. - Arun Sivakumar; Yiyang Wang 003; Roselyne Tchoua; Thiruvarangan Ramaraj; Jacob Furst 001; Daniela Stan Raicu (CBMS, 2023)

No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes. - Thomas Zeng 003; Elias Furst; Yiyang Wang 003; Roselyne Tchoua; Jacob D. Furst; Daniela Raicu (Computer-Aided Diagnosis, 2023)

Enhancing Pulmonary Nodule Localization Based on Latent Representations. - Charmi Patel; Yiyang Wang 003; Roselyne Tchoua; Thiruvarangan Ramaraj; Jacob D. Furst; Daniela Raicu (CBMS, 2025)