| Person reidentification using spatiotemporal appearance N Gheissari, TB Sebastian, R Hartley 2006 IEEE computer society conference on computer vision and pattern …, 2006 | 787 | 2006 |
| Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue MJ Gerdes, CJ Sevinsky, A Sood, S Adak, MO Bello, A Bordwell, A Can, ... Proceedings of the National Academy of Sciences 110 (29), 11982-11987, 2013 | 698 | 2013 |
| Shape and appearance context modeling X Wang, G Doretto, T Sebastian, J Rittscher, P Tu 2007 ieee 11th international conference on computer vision, 1-8, 2007 | 632 | 2007 |
| A probabilistic background model for tracking J Rittscher, J Kato, S Joga, A Blake Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000 | 325 | 2000 |
| Real-time polyp detection, localization and segmentation in colonoscopy using deep learning D Jha, S Ali, NK Tomar, HD Johansen, D Johansen, J Rittscher, ... Ieee Access 9, 40496-40510, 2021 | 254 | 2021 |
| Learning and classification of complex dynamics B North, A Blake, M Isard, J Rittscher IEEE Transactions on pattern analysis and machine intelligence 22 (9), 1016-1034, 2000 | 248 | 2000 |
| Appearance-based person reidentification in camera networks: problem overview and current approaches G Doretto, T Sebastian, P Tu, J Rittscher Journal of Ambient Intelligence and Humanized Computing 2, 127-151, 2011 | 211 | 2011 |
| Surveillance systems and methods TP Kelliher, J Rittscher, PH Tu, K Chean, HW Tomlinson US Patent 7,049,965, 2006 | 197 | 2006 |
| Spatio-temporal cell cycle phase analysis using level sets and fast marching methods D Padfield, J Rittscher, N Thomas, B Roysam Medical image analysis 13 (1), 143, 2009 | 195 | 2009 |
| Simultaneous estimation of segmentation and shape J Rittscher, PH Tu, N Krahnstoever 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 188 | 2005 |
| Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis D Padfield, J Rittscher, B Roysam Medical image analysis 15 (4), 650-668, 2011 | 187 | 2011 |
| Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning K Sirinukunwattana, E Domingo, SD Richman, KL Redmond, A Blake, ... Gut 70 (3), 544-554, 2021 | 182 | 2021 |
| Fanet: A feedback attention network for improved biomedical image segmentation NK Tomar, D Jha, MA Riegler, HD Johansen, D Johansen, J Rittscher, ... IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9375-9388, 2022 | 161 | 2022 |
| System and method for automatic person counting and detection of specific events J Rittscher, PH Tu, NO Krahnstoever, A Perera, TB Sebastian, X Liu US Patent 7,596,241, 2009 | 151 | 2009 |
| An HMM-based segmentation method for traffic monitoring movies J Kato, T Watanabe, S Joga, J Rittscher, A Blake IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (9), 1291-1296, 2002 | 151 | 2002 |
| Detecting and counting people in surveillance applications X Liu, PH Tu, J Rittscher, A Perera, N Krahnstoever Advanced Video and Signal Based Surveillance, 2005. AVSS 2005. IEEE …, 2005 | 147 | 2005 |
| Precision immunoprofiling by image analysis and artificial intelligence VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz Virchows Archiv 474 (4), 511-522, 2019 | 132 | 2019 |
| Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021 | 119 | 2021 |
| An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng, P Zhang, X Li, ... Scientific reports 10 (1), 2748, 2020 | 117 | 2020 |
| A deep learning framework for quality assessment and restoration in video endoscopy S Ali, F Zhou, A Bailey, B Braden, JE East, X Lu, J Rittscher Medical image analysis 68, 101900, 2021 | 112 | 2021 |
Gianfranco DorettoWest Virginia University在 mail.wvu.edu 的电子邮件经过验证
