Mohammed Yousefhussien
Mohammed Yousefhussien
Research Scientist @ General Electric, Adjunct Faculty @ Fanshawe Collage London ON
Verified email at - Homepage
Cited by
Cited by
Data augmentation for visual question answering
K Kafle, M Yousefhussien, C Kanan
Proceedings of the 10th International Conference on Natural Language …, 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
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
Online tracking using saliency
MA Yousefhussien, NA Browning, C Kanan
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-10, 2016
Localization using omnivision-based manifold particle filters
A Wong, M Yousefhussien, R Ptucha
Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques 9406 …, 2015
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
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
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
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
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
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
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
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
Systems and methods for image classification
Y Al-Kofahi, M MacDonald, A Singanamalli, M Yousefhussien, W Marshall
US Patent App. 18/470,823, 2024
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
Systems and methods for image classification
WM Yousef Al-Kofahi, Michael MacDonald, Asha Singanamalli, Mohammed ...
US Patent 11,798,270, 2023
Food and Agricultural Imaging Systems 2021
M Yousefhussien
A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds
M Yousefhussien, D Kelbe, C Salvaggio, 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
Deep Learning Methods for 3D Aerial and Satellite Data
MA Yousefhussien
Rochester Institute of Technology, 2019
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