Wade Schwartzkopf

Maximum-likelihood techniques for joint segmentation-classification of multispectral chromosome images

Wade Schwartzkopf, Alan C. Bovik, Brian L. Evans · IEEE Transactions on Medical Imaging · 2005 · 98 citations

Engineering, Machine Learning, Genetics +19

Supervised Classification of Multisensor Remotely Sensed Images Using a Deep Learning Framework

Sankaranarayanan Piramanayagam, Eli Saber, Wade Schwartzkopf et al. · Remote Sensing · 2018 · 91 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +22

Classification of remote sensed images using random forests and deep learning framework

Sankaranarayanan Piramanayagam, Wade Schwartzkopf, Frederick W. Koehler et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016 · 38 citations

Engineering, Machine Learning, Land Cover +19

Two-dimensional phase unwrapping using neural networks

Wade Schwartzkopf, T.E. Milner, Joydeep Ghosh et al. · 2002 · 31 citations

Engineering, Microscopy, Neural Network +20

Minimum entropy segmentation applied to multi-spectral chromosome images

Wade Schwartzkopf, Brian L. Evans, Alan C. Bovik · 2002 · 26 citations

Engineering, Image Analysis, Pattern Recognition +17