| Segment anything model for medical image analysis: an experimental study MA Mazurowski, H Dong, H Gu, J Yang, N Konz, Y Zhang Medical Image Analysis 89, 102918, 2023 | 395 | 2023 |
| Wilderness search and rescue missions using deep reinforcement learning A Peake, J McCalmon, Y Zhang, B Raiford, S Alqahtani 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2020 | 17 | 2020 |
| Deep reinforcement learning for adaptive exploration of unknown environments A Peake, J McCalmon, Y Zhang, D Myers, S Alqahtani, P Pauca 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 265-274, 2021 | 8 | 2021 |
| A symbolic-AI approach for UAV exploration tasks Y Zhang, J McCalmon, A Peake, S Alqahtani, P Pauca 2021 7th International Conference on Automation, Robotics and Applications …, 2021 | 8 | 2021 |
| Convolutional neural networks rarely learn shape for semantic segmentation Y Zhang, MA Mazurowski Pattern Recognition 146, 110018, 2024 | 4 | 2024 |
| SWSSL: Sliding window-based self-supervised learning for anomaly detection in high-resolution images H Dong, Y Zhang, H Gu, N Konz, Y Zhang, MA Mazurowski IEEE Transactions on Medical Imaging, 2023 | 3 | 2023 |
| How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model Y Zhang, S Zhao, H Gu, MA Mazurowski arXiv preprint arXiv:2312.10600, 2023 | 1 | 2023 |
| Pilot study of machine learning for detection of placenta accreta spectrum Y Zhang, E S. C., G J. B., P A., B B. K., MA Mazurowski, G L. A. Ultrasound Obstet Gynecol 64 (3), 426-427, 2024 | | 2024 |
