| Deep learning for accelerated all-dielectric metasurface design CC Nadell, B Huang, JM Malof, WJ Padilla Optics express 27 (20), 27523-27535, 2019 | 409 | 2019 |
| Automatic detection of solar photovoltaic arrays in high resolution aerial imagery JM Malof, K Bradbury, LM Collins, RG Newell Applied energy 183, 229-240, 2016 | 186 | 2016 |
| Deep learning the electromagnetic properties of metamaterials—a comprehensive review O Khatib, S Ren, J Malof, WJ Padilla Advanced Functional Materials 31 (31), 2101748, 2021 | 138 | 2021 |
| Imaging descriptors improve the predictive power of survival models for glioblastoma patients MA Mazurowski, A Desjardins, JM Malof Neuro-Oncology, 2013 | 123 | 2013 |
| Distributed solar photovoltaic array location and extent dataset for remote sensing object identification K Bradbury, R Saboo, T L Johnson, JM Malof, A Devarajan, W Zhang, ... Scientific data 3 (1), 1-9, 2016 | 117 | 2016 |
| Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark B Huang, K Lu, N Audeberr, A Khalel, Y Tarabalka, J Malof, A Boulch, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 104 | 2018 |
| Automatic solar photovoltaic panel detection in satellite imagery JM Malof, R Hou, LM Collins, K Bradbury, R Newell 2015 International Conference on Renewable Energy Research and Applications …, 2015 | 104 | 2015 |
| Some good practices for applying convolutional neural networks to buried threat detection in Ground Penetrating Radar D Reichman, LM Collins, JM Malof 2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR …, 2017 | 83 | 2017 |
| Neural-adjoint method for the inverse design of all-dielectric metasurfaces Y Deng, S Ren, K Fan, JM Malof, WJ Padilla Optics Express 29 (5), 7526-7534, 2021 | 80 | 2021 |
| A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery JM Malof, LM Collins, K Bradbury 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 79 | 2017 |
| Estimating residential building energy consumption using overhead imagery A Streltsov, JM Malof, B Huang, K Bradbury Applied Energy 280, 116018, 2020 | 71 | 2020 |
| A deep convolutional neural network and a random forest classifier for solar photovoltaic array detection in aerial imagery JM Malof, LM Collins, K Bradbury, RG Newell 2016 IEEE International conference on renewable energy research and …, 2016 | 65 | 2016 |
| Improving convolutional neural networks for buried target detection in ground penetrating radar using transfer learning via pretraining J Bralich, D Reichman, LM Collins, JM Malof Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII …, 2017 | 63 | 2017 |
| Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery J Camilo, R Wang, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1801.04018, 2018 | 60 | 2018 |
| Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method S Ren, WJ Padilla, JM Malof (NeurIPS 2020) Advances in Neural Information Processing Systems 33, 38--48, 2020 | 58 | 2020 |
| The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation F Kong, B Huang, K Bradbury, JM Malof (WACV 2020) IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 | 51 | 2020 |
| Segment anything, from space? S Ren, F Luzi, S Lahrichi, K Kassaw, LM Collins, K Bradbury, JM Malof (WACV 2024) Proceedings of the IEEE/CVF Winter Conference on Applications of …, 2023 | 50 | 2023 |
| A large-scale multi-institutional evaluation of advanced discrimination algorithms for buried threat detection in ground penetrating radar JM Malof, D Reichman, A Karem, H Frigui, KC Ho, JN Wilson, WH Lee, ... IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6929-6945, 2019 | 46 | 2019 |
| The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support JM Malof, MA Mazurowski, GD Tourassi Neural Networks 25, 141-145, 2012 | 46 | 2012 |
| Tiling and stitching segmentation output for remote sensing: Basic challenges and recommendations B Huang, D Reichman, LM Collins, K Bradbury, JM Malof arXiv preprint arXiv:1805.12219, 2018 | 45 | 2018 |
Leslie M CollinsProfessor of Electrical and Computer Engineering, Duke UniversityEmail verificata su duke.edu
