| 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 | 15 | 2019 |
| 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 | 14 | 2020 |
| 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 | 8 | 2019 |
| 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 | 5 | 2016 |
| 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 | 4 | 2020 |
| 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 | 3 | 2022 |
| 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, 387-401, 2023 | 2 | 2023 |
| 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 | 2 | 2019 |
| 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 | 1 | 2022 |
| 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 |
| 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 | | 2022 |
| 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 |
Daniela Stan RaicuDePaul UniversityVerified email at cs.depaul.edu
