| 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 | 189 | 2021 |
| GPU-accelerated Faster Mean Shift with euclidean distance metrics L You, H Jiang, J Hu, CH Chang, L Chen, X Cui, M Zhao 2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022 | 103 | 2022 |
| 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. MLMI 2021. 12966, 437--446, 2021 | 103 | 2021 |
| Cloud Shape Classification System Based on Multi-Channel CNN and Improved FDM M Zhao, CH Chang, W Xie, Z Xie, J Hu IEEE ACCESS 8, 2020 | 91 | 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 | 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 | 39 | 2021 |
| 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 | 24 | 2021 |
| 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 | 13 | 2021 |
| Towards annotation-free instance segmentation and tracking with adversarial simulations Q Liu, IM Gaeta, M Zhao, R Deng, A Jha, BA Millis, A Mahadevan-Jansen, ... arXiv preprint arXiv:2101.00567, 2021 | 6 | 2021 |
| MRI-guided near-infrared spectroscopic tomography (MRg-NIRST): system development for wearable, simultaneous NIRS and MRI imaging M Zhao, X Cao, M Zhou, J Feng, L Xia, BW Pogue, KD Paulsen, S Jiang Proc. of SPIE Vol 11952, 119520E-1, 2022 | 5 | 2022 |
| Stable tissue-mimicking phantoms for longitudinal multimodality imaging studies that incorporate optical, CT, and MRI contrast M Zhao, M Zhou, X Cao, J Feng, BW Pogue, KD Paulsen, S Jiang Journal of Biomedical Optics 28 (4), 046006-046006, 2023 | 2 | 2023 |
| MRI-guided near-infrared spectroscopic tomographic system for breast cancer imaging: phantom and normal-subject studies M Zhao, X Cao, M Zhou, J Feng, L Xia, B Pogue, K Paulsen, S Jiang Multimodal Biomedical Imaging XVIII 12371, 6-10, 2023 | 1 | 2023 |
| MRI guide NIR spectral tomography (NIRST) system for breast cancer detection M Zhao, J Feng, X Cao, M Zhou, L Xia, BW Pogue, KD Paulsen, S Jiang Clinical and Translational Biophotonics, TS1B. 6, 2024 | | 2024 |
| Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning T Yao, C Qu, J Long, Q Liu, R Deng, Y Tian, J Xu, A Jha, Z Asad, S Bao, ... Journal of Machine Learning for Biomedical Imaging. 2022:025. pp 1-18, 2022 | | 2022 |
| ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis Q Liu, IM Gaeta, M Zhao, R Deng, A Jha, BA Millis, A Mahadevan-Jansen, ... arXiv preprint arXiv:2011.01009, 2020 | | 2020 |
