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 | 179 | 2020 |
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 | 161 | 2021 |
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 | 71 | 2019 |
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 | 65 | 2021 |
Method and System for Visualizing Complex Data via a Multi-Agent Query Engine H Leopold US Patent App. 14/052,688, 2013 | 61 | 2013 |
Steps to a sustainable public health surveillance enterprise N Mirza, TL Reynolds, M Coletta, K Suda, I Soyiri, A Markle, H Leopold, ... Online Journal of Public Health Informatics 5 (2), 2013 | 19 | 2013 |
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 | 13 | 2018 |
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 | 13 | 2017 |
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 | 12 | 2020 |
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 | 9 | 2022 |
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 | 8 | 2017 |
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 | 7 | 2020 |
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 | 4 | 2021 |
A deep learning network for segmenting retinal vessel morphology H Leopold, J Orchard, V Lakshminarayanan, J Zelek IEEE EMBS, EMBS, 2016 | 4 | 2016 |
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 | 3 | 2016 |
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 |