Reference author: Paul Fieguth

Barshan, E., & Fieguth, P. (2015). Stage-wise training: An improved feature learning strategy for deep models Feature Extraction: Modern Questions and Challenges, 49-59.

Kasiri, K., Clausi, D., & Fieguth, P. (2015). Structural Representation: Reducing Multi-Modal Image Registration to Mono-Modal Problem Journal of Computational Vision and Imaging Systems, 1.

Kasiri, K., Fieguth, P., & Clausi, D. A. (2015). Structural representations for multi-modal image registration based on modified entropy International Conference Image Analysis and Recognition, 82-89. Springer, Cham.

Mwangi, G., Fieguth, P., & Garbe, C. S. (2015). Thermography spatial resolution enhancement by non-rigid registration with visible imagery 2015 IEEE International Conference on Image Processing (ICIP), 2542-2546. IEEE.

Shafiee, M. J., Haider, S. A., Wong, A., Lui, D., Cameron, A., Modhafar, A., … Haider, M. A. (2014). Apparent Ultra-High $ b $-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields IEEE Transactions on Medical Imaging, 34, 1111-1124.

Haines, L., Carter, K., Marschall, S., Gawish, A., Wong, A., Fieguth, P., … Bizheva, K. K. (2014). Comparison of Corneal Thickness Measured with Swept Source Anterior Segment Optical Coherence Tomographer, Pentacam and Ultrasound Investigative Ophthalmology & Visual Science, 55, 2464-2464.

Kasiri, K., Fieguth, P., & Clausi, D. A. (2014). Cross modality label fusion in multi-atlas segmentation 2014 IEEE International Conference on Image Processing (ICIP), 16-20. IEEE.

Barshan, E., Fieguth, P., & Wong, A. (2015). Multi-Neighborhood Convolutional Networks Journal of Computational Vision and Imaging Systems, 1.

Shafiee, M. J., Fieguth, P., & Wong, A. (2016). StochasticNet in StochasticNet Journal of Computational Vision and Imaging Systems, 2.

Barshan, E., Lamm, M., Scharfenberger, C., & Fieguth, P. (2015). 35.3: Resolution enhancement based on shifted superposition SID Symposium Digest of Technical Papers, 46, 514-517.