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Henry A Leopold
Henry A Leopold
Verified email at uwaterloo.ca
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Year
Ophthalmic diagnosis using deep learning with fundus images–A critical review
S Sengupta, A Singh, HA Leopold, T Gulati, V Lakshminarayanan
Artificial intelligence in medicine 102, 101758, 2020
1792020
Nebula: Quest for robotic autonomy in challenging environments; team costar at the darpa subterranean challenge
A Agha, K Otsu, B Morrell, DD Fan, R Thakker, A Santamaria-Navarro, ...
arXiv preprint arXiv:2103.11470, 2021
1612021
PixelBNN: augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
HA Leopold, J Orchard, JS Zelek, V Lakshminarayanan
Journal of Imaging 5 (2), 26, 2019
712019
Ai4mars: A dataset for terrain-aware autonomous driving on mars
RM Swan, D Atha, HA Leopold, M Gildner, S Oij, C Chiu, M Ono
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
622021
Method and System for Visualizing Complex Data via a Multi-Agent Query Engine
H Leopold
US Patent App. 14/052,688, 2013
602013
Steps to a sustainable public health surveillance enterprise a commentary from the international society for disease surveillance
N Mirza, T Reynolds, M Coletta, K Suda, I Soyiri, A Markle, H Leopold, ...
Online Journal of Public Health Informatics 5 (2), 210, 2013
182013
Deep learning for retinal analysis
HA Leopold, JS Zelek, V Lakshminarayanan
Signal Processing and Machine Learning for Biomedical Big Data, 329-367, 2018
16*2018
Ophthalmic diagnosis and deep learning–a survey
S Sengupta, A Singh, HA Leopold, V Lakshminarayanan
arXiv preprint arXiv:1812.07101, 2018
132018
Segmentation and feature extraction of retinal vascular morphology
HA Leopold, J Orchard, J Zelek, V Lakshminarayanan
Medical Imaging 2017: Image Processing 10133, 251-257, 2017
132017
Recent advances in deep learning applications for retinal diagnosis using OCT
HA Leopold, A Singh, S Sengupta, JS Zelek, V Lakshminarayanan
State of the Art in Neural Networks, Elsevier, NY, 2020
112020
Hybrid imitative planning with geometric and predictive costs in off-road environments
N Dashora, D Shin, D Shah, H Leopold, D Fan, A Agha-Mohammadi, ...
2022 International Conference on Robotics and Automation (ICRA), 4452-4458, 2022
102022
Use of Gabor filters and deep networks in the segmentation of retinal vessel morphology
HA Leopold, J Orchard, J Zelek, V Lakshminarayanan
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV …, 2017
92017
Deep learning on optical coherence tomography for ophthalmology
H Leopold, S Sengupta, A Singh, V Lakshminarayanan
State-of-the-Art in Neural Networks. Elsevier, NY, 2020
72020
Deep learning for ophthalmology using optical coherence tomography
HA Leopold, A Singh, S Sengupta, V Lakshminarayanan
State of the Art in Neural Networks and their Applications, 239-269, 2021
42021
A deep learning network for segmenting retinal vessel morphology
H Leopold, J Orchard, V Lakshminarayanan, J Zelek
IEEE EMBS, EMBS, 2016
42016
Road Defect Detection in Street View Images using Texture Descriptors and Contour Maps
D Abou Chacra, H Leopold, J Pinto, N Lunscher, G Younes, J Zelek
Journal of Computational Vision and Imaging Systems 2 (1), 2016
32016
AI4MARS: A Dataset for Terrain-Aware Autonomy on Mars
H Ono, X Hong, C Chiu, S Oij, M Gildner, HA Leopold, D Atha, RM Swan
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2021
2021
AI4MARS: A Dataset for Terrain-Aware Autonomy on Mars
RM Swan, D Atha, HA Leopold, M Gildner, S Oij, C Chiu, X Hong, H Ono
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2021
2021
IR Shape From Shading Enhanced RGBD for 3D Scanning
N Lunscher, G Younes, D Abou Chacra, H Leopold, J Pinto, J Zelek
Journal of Computational Vision and Imaging Systems 2 (1), 2016
2016
Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching
J Pinto, N Lunscher, G Younes, D Abou Chacra, H Leopold, J Zelek
Journal of Computational Vision and Imaging Systems 2 (1), 2016
2016
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