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Yiyang (Ian) Wang
Yiyang (Ian) Wang
在 msoe.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Explainable deep learning for biomarker classification of oct images
Y Wang, M Lucas, J Furst, AA Fawzi, D Raicu
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020
162020
Exploring the relationship between collaterals and vessel density in retinal vein occlusions using optical coherence tomography angiography
HE Lee, Y Wang, AE Fayed, AA Fawzi
PloS one 14 (7), e0215790, 2019
162019
Drusen diagnosis comparison between hyper-spectral and color retinal images
Y Wang, B Soetikno, J Furst, D Raicu, AA Fawzi
Biomedical optics express 10 (2), 914-931, 2019
102019
Detecting age-related macular degeneration (AMD) biomarker images using MFCC and texture features
Y Wang, X Ma, R Weddell, A Okemgbo, D Rein, AA Fawzi, J Furst, ...
SPIE Medical Imaging Symposium, 2020
52020
C. elegans search behavior analysis using Multivariate Dynamic Time Warping
Y Wang, C Smith, M Shao, L Huang, J Furst, D Raicu, H Kim
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
52016
No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes
T Zeng, E Furst, Y Wang, R Tchoua, J Furst, D Raicu
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 385-399, 2023
22023
Interactive deep learning for explainable retinal disease classification
M Vasquez, S Shakya, I Wang, J Furst, R Tchoua, D Raicu
Medical Imaging 2022: Image Processing 12032, 148-155, 2022
22022
Identifying diagnostically complex cases through ensemble learning
Y Yu, Y Wang, J Furst, D Raicu
2019 International Conference on Image Analysis and Recognition (ICIAR 2019 …, 2019
22019
Lung Nodule Malignancy Subtype Discovery with Semantic Learning
Y Wang, B Qiu, T Ramaraj, I Ustun, J Furst, D Raicu
2022 26th International Conference on Pattern Recognition (ICPR), 4234-4240, 2022
12022
Human-in-the-loop deep learning retinal image classification with customized loss function
S Shakya, M Vasquez, Y Wang, R Tchoua, J Furst, D Raicu
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 526-533, 2022
12022
Outcome risk model development for heterogeneity of treatment effect analyses: a comparison of non-parametric machine learning methods and semi-parametric statistical methods
E Xu, J Vanghelof, Y Wang, A Patel, J Furst, DS Raicu, JT Neumann, ...
BMC Medical Research Methodology 24 (1), 158, 2024
2024
Enhancing sensitivity in lung nodule malignancy classification: incorporating cost values into deep learning-based CAD systems
Y Wang, C Patel, T Ramaraj, R Tchoua, J Furst, D Raicu
Medical Imaging 2024: Computer-Aided Diagnosis 12927, 622-629, 2024
2024
Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning
A Sivakumar, Y Wang, R Tchoua, T Ramaraj, J Furst, DS Raicu
2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023
2023
Optimizing Computer-Aided Diagnosis with Cost-Aware Deep Learning Models
C Patel, Y Wang, T Ramaraj, R Tchoua, J Furst, D Raicu
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 108-119, 2023
2023
Autorevise: annotation refinement using motion signal patterns
J Piane, Y Wang, X Ma, J Furst, DS Raicu
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 81-84, 2022
2022
Drusen segmentation with sparse volumetric SD-OCT sampling
A Okemgbo, ID Rein, Y Wang, A Fawzi, J Furst, D Raicu
Medical Imaging 2021: Image Processing 11596, 816-823, 2021
2021
Measurement of similarity in C. elegans healthspan using dynamic time warping on movement features
A Govindaswamy, W Farooq, Y Wang, I Ustun, D Raicu, J Furst, H Kim
International Conference on Bioinformatics and Computational Biology (BICOB …, 2020
2020
Augmenting Frame-based with Window-based Features for C. elegans Movement Classification
J Piane, Y Wang, T Cheung, H Kim, J Furst, D Raicu
2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2019
2019
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