Rittscher Jens

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Soavtorji

Gianfranco DorettoWest Virginia UniversityPreverjeni e-poštni naslov na mail.wvu.edu
Dirk PadfieldGooglePreverjeni e-poštni naslov na google.com
Andrew BlakeAI ConsultantPreverjeni e-poštni naslov na ablake.ai
Xiaoming LiuAnil K. and Nandita Jain Endowed Professor; MSU Foundation Professor, CSE, Michigan State UniversityPreverjeni e-poštni naslov na cse.msu.edu
Raghu MachirajuProfessor of Computer Science and Engineering, Bioinformatics and PathologyPreverjeni e-poštni naslov na osu.edu
Alberto Santamaria-PangMicrosoftPreverjeni e-poštni naslov na microsoft.com
Ting YuGooglePreverjeni e-poštni naslov na google.com
Richard HartleyAustralian National University, National ICT Australia (NICTA)Preverjeni e-poštni naslov na anu.edu.au
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongPreverjeni e-poštni naslov na ee.cuhk.edu.hk
Anthony HoogsSenior Director of Computer Vision, Kitware, Inc.Preverjeni e-poštni naslov na kitware.com
Josephine SullivanLecturer, Computer Science, Royal Institute of Technology, StockholmPreverjeni e-poštni naslov na nada.kth.se
Kun HuangProf. and Chair of Biostatistics and Health Data Science; IUSM PHI Endowed ChairPreverjeni e-poštni naslov na iu.edu
Cemal Cagatay BilginEngineering Manager at MetaPreverjeni e-poštni naslov na meta.com
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordPreverjeni e-poštni naslov na robots.ox.ac.uk
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftPreverjeni e-poštni naslov na inf.ethz.ch
Seon Joo KimDept. of Computer Science, Yonsei University, Seoul, KoreaPreverjeni e-poštni naslov na yonsei.ac.kr
Xiaofeng LiuGeneral ElectricPreverjeni e-poštni naslov na ge.com

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Rittscher Jens

Department of Engineering Science, University of Oxford, UK

Preverjeni e-poštni naslov na rittscher.org - Domača stran

Biomedical imaging image based phenotyping computer vision pattern recognition


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Person reidentification using spatiotemporal appearance N Gheissari, TB Sebastian, R Hartley 2006 IEEE computer society conference on computer vision and pattern …, 2006	803	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	753	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	657	2007
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	328	2021
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	326	2000
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	250	2000
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	220	2021
Surveillance systems and methods TP Kelliher, J Rittscher, PH Tu, K Chean, HW Tomlinson US Patent 7,049,965, 2006	217	2006
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	216	2022
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	214	2011
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	196	2009
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	195	2011
Simultaneous estimation of segmentation and shape J Rittscher, PH Tu, N Krahnstoever 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	187	2005
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	158	2009
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	148	2005
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	148	2002
Precision immunoprofiling by image analysis and artificial intelligence VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz Virchows Archiv 474 (4), 511-522, 2019	147	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	142	2021
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	131	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	125	2020

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