| 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 | 17 | 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 | 16 | 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 | 13 | 2023 |
| SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation W Zhu, X Chen, P Qiu, M Farazi, A Sotiras, A Razi, Y Wang International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 11 | 2024 |
| nnMobileNet: Rethinking CNN for Retinopathy Research W Zhu, P Qiu, X Chen, X Li, N Lepore, OM Dumitrascu, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11* | 2024 |
| Automated Retinal Imaging Analysis for Alzheimers Disease Screening OM Dumitrascu, W Zhu, P Qiu, K Nandakumar, Y Wang IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2023 | 8 | 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 | 7 | 2023 |
| Pdl: Regularizing multiple instance learning with progressive dropout layers W Zhu, P Qiu, X Chen, OM Dumitrascu, Y Wang arXiv preprint arXiv:2308.10112, 2023 | 6 | 2023 |
| 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 International Conference on Machine Learning (ICML), 2024 | 5 | 2024 |
| 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 | 4* | 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 | 3 | 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 | 3 | 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 | 3 | 2023 |
| Flame diffuser: Wildfire image synthesis using mask guided diffusion H Wang, SPH Boroujeni, X Chen, A Bastola, H Li, W Zhu, A Razi 2024 IEEE International Conference on Big Data (BigData), 6171-6179, 2024 | 2 | 2024 |
| Color Fundus Photography and Deep Learning Applications in Alzheimer Disease OM Dumitrascu, X Li, W Zhu, BK Woodruff, S Nikolova, J Sobczak, ... Mayo Clinic Proceedings: Digital Health 2 (4), 548-558, 2024 | 2 | 2024 |
| A competition for the diagnosis of myopic maculopathy by artificial intelligence algorithms B Qian, B Sheng, H Chen, X Wang, T Li, Y Jin, Z Guan, Z Jiang, Y Wu, ... JAMA ophthalmology 142 (11), 1006-1015, 2024 | 2 | 2024 |
| RBAD: A Dataset and Benchmark for Retinal Bifurcation Angle Detection H Wang, W Zhu, J Qin, X Li, O Dumitrascu, X Chen, P Qiu, A Razi, Y Wang IEEE-EMBS International Conference on Biomedical and Health Informatics, 2024 | 2* | 2024 |
| CUNSB-RFIE: Context-aware Unpaired Neural Schr\" odinger Bridge in Retinal Fundus Image Enhancement X Dong, VK Vasa, W Zhu, P Qiu, X Chen, Y Su, Y Xiong, Z Yang, Y Chen, ... arXiv preprint arXiv:2409.10966, 2024 | 2 | 2024 |
| Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement VK Vasa, P Qiu, W Zhu, Y Xiong, O Dumitrascu, Y Wang arXiv preprint arXiv:2409.07862, 2024 | 2 | 2024 |
| STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation VK Vasa, W Zhu, X Chen, P Qiu, X Dong, Y Wang arXiv preprint arXiv:2410.11578, 2024 | 1 | 2024 |
Yalin WangProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu