| A computational model for predicting local distortion visibility via convolutional neural network trainedon natural scenes MM Alam, P Patil, MT Hagan, DM Chandler 2015 IEEE International Conference on Image Processing (ICIP), 3967-3971, 2015 | 13 | 2015 |
| Decorrelation-Based Deep Learning for Bias Mitigation P Patil, K Purcell Future Internet 14 (4), 110, 2022 | 8 | 2022 |
| Devices, systems and methods for the detection of anatomical or physiological characteristics M Johnson, J YAO, P PATIL, M Larson WO Patent PCT/US2015/047,530, 2014 | 5* | 2014 |
| Semi-Supervised Graph Neural Network with Probabilistic Modeling to Mitigate Uncertainty M Vaida, P Patil ICISDM 2020, Pages 152–156, 2020 | 4 | 2020 |
| Flexible image recognition software toolbox (first) P Patil Oklahoma State University, 2013 | 4 | 2013 |
| Learning Gene Regulatory Networks using Graph Granger Causality P Patil, M Vaida Proceedings of 14th International Conference on Bioinformatics and …, 2022 | 3 | 2022 |
| Relations between local and global perceptual image quality and visual masking MM Alam, P Patil, MT Hagan, DM Chandler Human Vision and Electronic Imaging XX 9394, 193-206, 2015 | 1 | 2015 |
| Parkinson’s Disease Recognition Using Decorrelated Convolutional Neural Networks: Addressing Imbalance and Scanner Bias in rs-fMRI Data P Patil, WR Ford Biosensors 14 (5), 259, 2024 | | 2024 |
| Decorrelated Deep Neural Networks: Learning Bias Invariant & Scanner Independent Features, and Causal relationships Using a novel deep learning methods based on Distance … P Patil Harrisburg University of Science and Technology, 2022 | | 2022 |
| Extracting Signal from the Noisy Environment of an Ecosystem E Wefelmeyer, PP Patil, SR Ravula, KM Purcell, Z Huang, I Pilja | | 2019 |
