Self-supervised equivariant regularization reconciles multiple-instance learning: Joint referable diabetic retinopathy classification and lesion segmentation W Zhu, P Qiu, N Lepore, OM Dumitrascu, Y Wang 18th International Symposium on Medical Information Processing and Analysis …, 2023 | 10 | 2023 |
OTRE: where optimal transport guided unpaired image-to-image translation meets regularization by enhancing W Zhu, P Qiu, OM Dumitrascu, JM Sobczak, M Farazi, Z Yang, ... International Conference on Information Processing in Medical Imaging, 415-427, 2023 | 3 | 2023 |
Optimal transport guided unsupervised learning for enhancing low-quality retinal images W Zhu, P Qiu, M Farazi, K Nandakumar, OM Dumitrascu, Y Wang 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 3 | 2023 |
Improved Prediction of Amyloid-β and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding J Wu, Y Su, W Zhu, N Jalili Mallak, N Lepore, EM Reiman, RJ Caselli, ... Journal of Alzheimer's Disease 91 (2), 637-651, 2023 | 3* | 2023 |
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers W Zhu, P Qiu, OM Dumitrascu, Y Wang arXiv preprint arXiv:2308.10112, 2023 | 2 | 2023 |
Tetcnn: Convolutional neural networks on tetrahedral meshes M Farazi, Z Yang, W Zhu, P Qiu, Y Wang International Conference on Information Processing in Medical Imaging, 303-315, 2023 | 2 | 2023 |
nnMobileNet: Rethinking CNN for Retinopathy Research W Zhu, P Qiu, X Chen, X Li, N Lepore, OM Dumitrascu, Y Wang arXiv preprint arXiv:2306.01289, 2023 | 2 | 2023 |
Anisotropic multi-scale graph convolutional network for dense shape correspondence M Farazi, W Zhu, Z Yang, Y Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification P Qiu, P Xiao, W Zhu, Y Wang, A Sotiras arXiv preprint arXiv:2311.00048, 2023 | 1 | 2023 |
Automated Retinal Imaging Analysis for Alzheimers Disease Screening OM Dumitrascu, QP ZW, KWY Nandakumar IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2022 | 1 | 2022 |
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning X Chen, P Qiu, W Zhu, H Li, H Wang, A Sotiras, Y Wang, A Razi arXiv preprint arXiv:2405.03140, 2024 | | 2024 |
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters X Chen, W Zhu, P Qiu, A Razi arXiv preprint arXiv:2405.02944, 2024 | | 2024 |
Retinal Color Fundus Photography and Deep Learning can Discriminate Alzheimer’s Disease (P8-9.006) O Dumitrascu, X Li, J Sobczak, W Zhu, R Caselli, B Woodruff, Y Wang Neurology 102 (17_supplement_1), 2716, 2024 | | 2024 |
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning Y Xiong, W Zhu, ZL Lu, Y Wang arXiv preprint arXiv:2404.05107, 2024 | | 2024 |
Prediction of Spherical Equivalent with Vanilla ResNet H Li, W Zhu, X Chen, Y Wang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
Beyond MobileNet: An Improved MobileNet for Retinal Diseases W Zhu, P Qiu, X Chen, H Li, H Wang, N Lepore, OM Dumitrascu, Y Wang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry J Wu, Y Su, Y Chen, W Zhu, EM Reiman, RJ Caselli, K Chen, ... Journal of Alzheimer's Disease, 1-16, 2023 | | 2023 |
nnMobileNet: RETHINKING CNN FOR RETINOPATHY RESEARCH W Zhu, P Qiu, X Li, N Lepore, OM Dumitrascu, Y Wang | | |