| 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 |
| VoxelEmbed: 3D instance segmentation and tracking with voxel embedding based deep learning M Zhao, Q Liu, A Jha, R Deng, T Yao, A Mahadevan-Jansen, MJ Tyska, ... Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 103 | 2021 |
| AI applications in renal pathology Y Huo, R Deng, Q Liu, AB Fogo, H Yang Kidney international 99 (6), 1309-1320, 2021 | 60 | 2021 |
| CircleNet: Anchor-free glomerulus detection with circle representation H Yang, R Deng, Y Lu, Z Zhu, Y Chen, JT Roland, L Lu, BA Landman, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 53 | 2020 |
| Compound figure separation of biomedical images with side loss T Yao, C Qu, Q Liu, R Deng, Y Tian, J Xu, A Jha, S Bao, M Zhao, AB Fogo, ... Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021 | 50* | 2021 |
| Simtriplet: Simple triplet representation learning with a single gpu Q Liu, PC Louis, Y Lu, A Jha, M Zhao, R Deng, T Yao, JT Roland, H Yang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 36 | 2021 |
| Circle representation for medical object detection EH Nguyen, H Yang, R Deng, Y Lu, Z Zhu, JT Roland, L Lu, BA Landman, ... IEEE transactions on medical imaging 41 (3), 746-754, 2021 | 35 | 2021 |
| Evaluating transformer-based semantic segmentation networks for pathological image segmentation C Nguyen, Z Asad, R Deng, Y Huo Medical Imaging 2022: Image Processing 12032, 942-947, 2022 | 29 | 2022 |
| ASIST: annotation-free synthetic instance segmentation and tracking by adversarial simulations Q Liu, IM Gaeta, M Zhao, R Deng, A Jha, BA Millis, A Mahadevan-Jansen, ... Computers in biology and medicine 134, 104501, 2021 | 17* | 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 |
| 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 |
| Easierpath: an open-source tool for human-in-the-loop deep learning of renal pathology Z Zhu, Y Lu, R Deng, H Yang, AB Fogo, Y Huo Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020 | 13 | 2020 |
| Map3d: registration-based multi-object tracking on 3d serial whole slide images R Deng, H Yang, A Jha, Y Lu, P Chu, AB Fogo, Y Huo IEEE transactions on medical imaging 40 (7), 1924-1933, 2021 | 12 | 2021 |
| Instance segmentation for whole slide imaging: end-to-end or detect-then-segment A Jha, H Yang, R Deng, ME Kapp, AB Fogo, Y Huo Journal of Medical Imaging 8 (1), 014001-014001, 2021 | 12 | 2021 |
| Contrastive learning meets transfer learning: a case study in medical image analysis Y Lu, A Jha, R Deng, Y Huo Medical Imaging 2022: Computer-Aided Diagnosis 12033, 729-736, 2022 | 9 | 2022 |
| 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 | 7* | 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 | 7* | 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 |
| False negative/positive control for sam on noisy medical images X Yao, H Liu, D Hu, D Lu, A Lou, H Li, R Deng, G Arenas, B Oguz, ... arXiv preprint arXiv:2308.10382, 2023 | 6 | 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 |
Yuankai HuoComputer Science, Vanderbilt UniversityBestätigte E-Mail-Adresse bei vanderbilt.edu
