| Data augmentation for visual question answering K Kafle, M Yousefhussien, C Kanan Proceedings of the 10th international conference on natural language …, 2017 | 150 | 2017 |
| A multi-scale fully convolutional network for semantic labeling of 3D point clouds M Yousefhussien, DJ Kelbe, EJ Ientilucci, C Salvaggio ISPRS journal of photogrammetry and remote sensing 143, 191-204, 2018 | 131 | 2018 |
| Spatial patterning of endothelial cells and vascular network formation using ultrasound standing wave fields KA Garvin, D Dalecki, M Yousefhussien, M Helguera, DC Hocking The Journal of the Acoustical Society of America 134 (2), 1483-1490, 2013 | 55 | 2013 |
| Online tracking using saliency MA Yousefhussien, NA Browning, C Kanan 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-10, 2016 | 9 | 2016 |
| Risk-aware autonomous navigation Y Tan, N Virani, B Good, S Gray, M Yousefhussien, Z Yang, K Angeliu, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 6 | 2021 |
| Multi source geographic information system (GIS) web based data visualization and interaction for vegetation management HK Abi-Rached, A Kumar, A Jain, M Yousefhussien, T Shah US Patent 11,527,025, 2022 | 5 | 2022 |
| Improved automated segmentation of human kidney organoids using deep convolutional neural networks M MacDonald, TR Fennel, A Singanamalli, NM Cruz, M Yousefhussein, ... Medical Imaging 2020: Image Processing 11313, 832-839, 2020 | 5 | 2020 |
| Localization using omnivision-based manifold particle filters A Wong, M Yousefhussien, R Ptucha Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques 9406 …, 2015 | 5 | 2015 |
| Uncertainty-aware perception models for off-road autonomous unmanned ground vehicles Z Yang, Y Tan, S Sen, J Reimann, J Karigiannis, M Yousefhussien, ... arXiv preprint arXiv:2209.11115, 2022 | 3 | 2022 |
| Combining Remotely Sensed Imagery with Survival Models for Outage Risk Estimation of the Power Grid M Yousefhussien, A Jain, T Shah, A Pandey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 3* | 2021 |
| Systems and methods for image classification WM Yousef Al-Kofahi, Michael MacDonald, Asha Singanamalli, Mohammed ... US Patent 11,798,270, 2023 | 2* | 2023 |
| System and method for vegetation modeling using satellite imagery and/or aerial imagery M Yousefhussien, A Jain, JV Miller, A Kumar, WV DIXON III US Patent 11,869,192, 2024 | 1 | 2024 |
| Flatbed scanner simulation to analyze the effect of detector's size on color artifacts M Yousefhussien, RL Easton Jr, R Ptucha, M Shaw, B Bradburn, ... Computational Imaging XIII 9401, 160-170, 2015 | 1 | 2015 |
| Three-dimensional volume analysis of vasculature in engineered tissues M YousefHussien, K Garvin, D Dalecki, E Saber, M Helguera Visualization and Data Analysis 2013 8654, 131-141, 2013 | 1 | 2013 |
| Systems and methods for image classification Y Al-Kofahi, M MacDonald, A Singanamalli, M Yousefhussien, W Marshall US Patent 12,205,362, 2025 | | 2025 |
| Remote sensing method to model terrain shape by detecting reliable ground points JV Miller, WV DIXON III, M Yousefhussien US Patent 11,810,251, 2023 | | 2023 |
| Food and Agricultural Imaging Systems 2021 M Yousefhussien | | 2021 |
| A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds M Yousefhussien, D Kelbe, C Salvaggio https://arxiv.org/abs/2005.10745, 2020 | | 2020 |
| Remote Sensing Method to Model Terrain Shape by Detecting Reliable Ground Points M Yousefhussien, WV Dixon, JV Miller 2nd RPI Space Imaging Workshop, 2019 | | 2019 |
| Deep Learning Methods for 3D Aerial and Satellite Data MA Yousefhussien Rochester Institute of Technology, 2019 | | 2019 |
Christopher KananUniversity of RochesterEmail verificata su cs.rochester.edu