Rittscher Jens
Rittscher Jens
Department of Engineering Science, University of Oxford, UK
Verified email at - Homepage
Cited by
Cited by
Person reidentification using spatiotemporal appearance
N Gheissari, TB Sebastian, R Hartley
2006 IEEE computer society conference on computer vision and pattern …, 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
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
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
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
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
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
Surveillance systems and methods
TP Kelliher, J Rittscher, PH Tu, K Chean, HW Tomlinson
US Patent 7,049,965, 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
Simultaneous estimation of segmentation and shape
J Rittscher, PH Tu, N Krahnstoever
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 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
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
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
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
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
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
Precision immunoprofiling by image analysis and artificial intelligence
VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz
Virchows Archiv 474 (4), 511-522, 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
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
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
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