| Segment anything model (sam) for digital pathology: Assess zero-shot segmentation on whole slide imaging R Deng*, C Cui*, Q Liu*, T Yao, LW Remedios, S Bao, BA Landman, ... arXiv preprint arXiv:2304.04155, 2023 | 112 | 2023 |
| Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review C Cui, H Yang, Y Wang, S Zhao, Z Asad, LA Coburn, KT Wilson, ... Progress in Biomedical Engineering 5 (2), 022001, 2023 | 43 | 2023 |
| Diabetic wound segmentation using convolutional neural networks C Cui, K Thurnhofer-Hemsi, R Soroushmehr, A Mishra, J Gryak, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 36 | 2019 |
| Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers RB Kim, J Gryak, A Mishra, C Cui, SMR Soroushmehr, K Najarian, ... Computers in biology and medicine 126, 104042, 2020 | 22 | 2020 |
| Moddrop++: A dynamic filter network with intra-subject co-training for multiple sclerosis lesion segmentation with missing modalities H Liu, Y Fan, H Li, J Wang, D Hu, C Cui, HH Lee, H Zhang, I Oguz International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 19 | 2022 |
| LIFE: a generalizable autodidactic pipeline for 3D OCT-A vessel segmentation D Hu, C Cui, H Li, KE Larson, YK Tao, I Oguz Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 16 | 2021 |
| All-in-sam: from weak annotation to pixel-wise nuclei segmentation with prompt-based finetuning C Cui, R Deng, Q Liu, T Yao, S Bao, LW Remedios, BA Landman, Y Tang, ... Journal of Physics: Conference Series 2722 (1), 012012, 2024 | 15 | 2024 |
| Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics L Wei, C Cui, J Xu, R Kaza, I El Naqa, YK Dewaraja EJNMMI physics 7, 1-19, 2020 | 15 | 2020 |
| Survival prediction of brain cancer with incomplete radiology, pathology, genomic, and demographic data C Cui, H Liu, Q Liu, R Deng, Z Asad, Y Wang, S Zhao, H Yang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 13 | 2022 |
| Cross-scale multi-instance learning for pathological image diagnosis R Deng, C Cui, LW Remedios, S Bao, RM Womick, S Chiron, J Li, ... Medical Image Analysis, 103124, 2024 | 6 | 2024 |
| Unsupervised domain adaptation for vestibular schwannoma and cochlea segmentation via semi-supervised learning and label fusion H Liu, Y Fan, C Cui, D Su, A McNeil, BM Dawant International MICCAI Brainlesion Workshop, 529-539, 2021 | 6 | 2021 |
| Omni-seg: A scale-aware dynamic network for renal pathological image segmentation R Deng, Q Liu, C Cui, T Yao, J Long, Z Asad, RM Womick, Z Zhu, AB Fogo, ... IEEE Transactions on Biomedical Engineering, 2023 | 5 | 2023 |
| Cross-scale attention guided multi-instance learning for Crohn’s disease diagnosis with pathological images R Deng, C Cui, LW Remedios, S Bao, RM Womick, S Chiron, J Li, ... International Workshop on Multiscale Multimodal Medical Imaging, 24-33, 2022 | 5 | 2022 |
| Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning Y Shi, Q Liu, J Xu, Z Asad, C Cui, H Correa, Y Choksi, G Hiremath, Y Huo Medical Imaging 2022: Digital and Computational Pathology 12039, 277-284, 2022 | 5 | 2022 |
| Uncertainty estimation in medical image localization: Towards robust anterior thalamus targeting for deep brain stimulation H Liu, C Cui, DJ Englot, BM Dawant Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020 | 5 | 2020 |
| Omni-Seg: a single dynamic network for multi-label renal pathology image segmentation using partially labeled data R Deng, Q Liu, C Cui, Z Asad, H Yang, Y Huo arXiv preprint arXiv:2112.12665, 2021 | 4 | 2021 |
| Democratizing pathological image segmentation with lay annotators via molecular-empowered learning R Deng, Y Li, P Li, J Wang, LW Remedios, S Agzamkhodjaev, Z Asad, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Deep constrained spherical deconvolution for robust harmonization T Yao, F Rheault, LY Cai, V Nath, Z Asad, N Newlin, C Cui, R Deng, ... Medical Imaging 2023: Image Processing 12464, 169-176, 2023 | 3 | 2023 |
| Single dynamic network for multi-label renal pathology image segmentation R Deng, Q Liu, C Cui, Z Asad, Y Huo International Conference on Medical Imaging with Deep Learning, 304-314, 2022 | 3 | 2022 |
| Robust fiber odf estimation using deep constrained spherical deconvolution for diffusion mri T Yao, F Rheault, LY Cai, Z Asad, N Newlin, C Cui, R Deng, K Ramadass, ... arXiv preprint arXiv:2306.02900, 2023 | 2 | 2023 |
Yuankai HuoComputer Science, Vanderbilt UniversityBestätigte E-Mail-Adresse bei vanderbilt.edu
