| Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking M Zhao, A Jha, Q Liu, BA Millis, A Mahadevan-Jansen, L Lu, BA Landman, ... Medical Image Analysis 71, 102048, 2021 | 181 | 2021 |
| 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 | 143 | 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 | 65 | 2021 |
| 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 | 39 | 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 | 38 | 2021 |
| Meta-optic accelerators for object classifiers H Zheng, Q Liu, Y Zhou, II Kravchenko, Y Huo, J Valentine Science Advances 8 (30), eabo6410, 2022 | 35 | 2022 |
| 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 | 24 | 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 | 24 | 2022 |
| Deep generative models, and data augmentation, labelling, and imperfections T Yao, C Qu, Q Liu, R Deng, Y Tian, J Xu, A Jha, S Bao, M Zhao, A Fogo Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021 | 23 | 2021 |
| The smart insole: A pilot study of fall detection X Qian, H Cheng, D Chen, Q Liu, H Chen, H Jiang, MC Huang EAI international conference on body area networks, 37-49, 2019 | 23 | 2019 |
| Multichannel meta-imagers for accelerating machine vision H Zheng, Q Liu, II Kravchenko, X Zhang, Y Huo, JG Valentine Nature nanotechnology 19 (4), 471-478, 2024 | 22 | 2024 |
| 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 | 19* | 2021 |
| Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques YJ Lee, D Hall, Q Liu, WW Liao, MC Huang Engineering applications of artificial intelligence 101, 104233, 2021 | 19 | 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 70 (9), 2636-2644, 2023 | 16* | 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 | 12* | 2022 |
| Scaling up 3d kernels with bayesian frequency re-parameterization for medical image segmentation HH Lee, Q Liu, S Bao, Q Yang, X Yu, LY Cai, TZ Li, Y Huo, X Koutsoukos, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 11 | 2023 |
| GAN based unsupervised segmentation: should we match the exact number of objects Q Liu, IM Gaeta, BA Millis, MJ Tyska, Y Huo Medical Imaging 2021: Image Processing 11596, 288-295, 2021 | 9 | 2021 |
| Faster mean-shift: Gpu-accelerated embedding-clustering for cell segmentation and tracking M Zhao, A Jha, Q Liu, BA Millis, A Mahadevan-Jansen, L Lu, BA Landman, ... arXiv preprint arXiv:2007.14283, 2020 | 8 | 2020 |
| 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 | 6 | 2023 |
Yuankai HuoComputer Science, Vanderbilt University在 vanderbilt.edu 的电子邮件经过验证
