| Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason … A Wibmer, H Hricak, T Gondo, K Matsumoto, H Veeraraghavan, D Fehr, ... European radiology 25, 2840-2850, 2015 | 469 | 2015 |
| Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images D Fehr, H Veeraraghavan, A Wibmer, T Gondo, K Matsumoto, HA Vargas, ... Proceedings of the National Academy of Sciences 112 (46), E6265-E6273, 2015 | 449 | 2015 |
| View-independent human motion classification using image-based reconstruction R Bodor, A Drenner, D Fehr, O Masoud, N Papanikolopoulos Image and Vision Computing 27 (8), 1194-1206, 2009 | 161 | 2009 |
| Multi-camera human activity monitoring L Fiore, D Fehr, R Bodor, A Drenner, G Somasundaram, ... Journal of Intelligent and Robotic Systems 52 (1), 5-43, 2008 | 130 | 2008 |
| A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy EJ Sutton, N Onishi, DA Fehr, BZ Dashevsky, M Sadinski, K Pinker, ... Breast Cancer Research 22, 1-11, 2020 | 89 | 2020 |
| Compact covariance descriptors in 3d point clouds for object recognition D Fehr, A Cherian, R Sivalingam, S Nickolay, V Morellas, ... 2012 IEEE international conference on robotics and automation, 1793-1798, 2012 | 58 | 2012 |
| Counting people in groups D Fehr, R Sivalingam, V Morellas, N Papanikolopoulos, O Lotfallah, ... 2009 Sixth IEEE International Conference on Advanced Video and Signal Based …, 2009 | 44 | 2009 |
| Covariance based point cloud descriptors for object detection and recognition D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos Computer vision and image understanding 142, 80-93, 2016 | 42 | 2016 |
| Rgb-d object classification using covariance descriptors D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos 2014 IEEE International Conference on Robotics and Automation (ICRA), 5467-5472, 2014 | 20 | 2014 |
| Issues and solutions in surveillance camera placement D Fehr, L Fiore, N Papanikolopoulos 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 16 | 2009 |
| Covariance based point cloud descriptors for object detection and classification DA Fehr University of Minnesota Twin Cities, 2013 | 15 | 2013 |
| Motion primitives for a tumbling robot B Hemes, D Fehr, N Papanikolopoulos 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 10 | 2008 |
| Longitudinal hydroplaning performance of passenger car tires M Maleska, F Petry, D Fehr, W Schuhmann, M Böhle Vehicle system dynamics 59 (3), 415-432, 2021 | 9 | 2021 |
| Experiments in object reconstruction using a robot-mounted laser range-finder P Tokekar, V Bhatawadekar, D Fehr, N Papanikolopoulos 2009 17th Mediterranean Conference on Control and Automation, 946-951, 2009 | 9 | 2009 |
| A solution with multiple robots and Kinect systems to implement the parallel coverage problem HJ Min, D Fehr, N Papanikolopoulos 2012 20th Mediterranean Conference on Control & Automation (MED), 555-560, 2012 | 6 | 2012 |
| Tire surface segmentation in infrared imaging with convolutional neural networks and transfer learning R Nava, D Fehr, F Petry, T Tamisier Pattern Recognition and Image Analysis 31 (3), 466-476, 2021 | 4 | 2021 |
| Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT D Fehr, CR Schmidtlein, S Hwang, JO Deasy, H Veeraraghavan 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 168-171, 2016 | 4 | 2016 |
| Occlusion alleviation through motion using a mobile robot D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos 2014 IEEE International Conference on Robotics and Automation (ICRA), 3179-3184, 2014 | 4 | 2014 |
| A dynamic sensor placement algorithm for dense sampling V Bhatawadekar, D Fehr, V Morellas, N Papanikolopoulos 14th International Conference on Information Fusion, 1-7, 2011 | 4 | 2011 |
| Using a laser range finder mounted on a microvision robot to estimate environmental parameters D Fehr, N Papanikolopoulos Unmanned Systems Technology XI 7332, 270-278, 2009 | 4 | 2009 |
Nikolaos PapanikolopoulosProfessor of Computer Science, University of MinnesotaVerified email at cs.umn.edu
