Rahul Bhotika

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Avinash RavichandranPrincipal Applied Scientist, Perception, CruiseVerified email at cis.jhu.edu
Paulo R. S. MendoncaMicrosoftVerified email at microsoft.com
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified email at ucla.edu
Saad SiroheyGE HealthcareVerified email at med.ge.com
James MillerSenior Principal Scientist, Artificial Intelligence, GE Global ResearchVerified email at ge.com
Fei ZhaoGoogleVerified email at google.com
Alessandro AchilleSenior Applied Scientist, Amazon Web Services and CaltechVerified email at caltech.edu
Hao LiAWS AI LabsVerified email at amazon.com
Anthony HoogsSenior Director of Computer Vision, Kitware, Inc.Verified email at kitware.com
Hao YangAmazon Web ServicesVerified email at amazon.com
Robert SenzigChief Engineer - Computed Tomography, GE HealthcareVerified email at ge.com
Charless FowlkesDepartment of Computer Science, University of California, IrvineVerified email at ics.uci.edu
Orchid MajumderPrincipal Research Engineer, AmazonVerified email at amazon.com
Michael LamAmazonVerified email at amazon.com
Dushyant SahaniUniversity of WashingtonVerified email at uw.edu
David J FleetGoogle DeepMind; University of Toronto; Vector InstituteVerified email at cs.toronto.edu
Qing LiuAdobe ResearchVerified email at adobe.com
Rittscher JensDepartment of Engineering Science, University of Oxford, UKVerified email at rittscher.org
Mahnaz MaddahDirector of Machine Learning @ Broad Institute of MIT and HarvardVerified email at alum.mit.edu
Gianfranco DorettoWest Virginia UniversityVerified email at mail.wvu.edu

Rahul Bhotika

Senior Vice President, Research, Optum Labs (United Health Group R&D)

Verified email at optum.com

healthcare AI and machine learning computer vision deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Few-shot learning with embedded class models and shot-free meta training A Ravichandran, R Bhotika, S Soatto Proceedings of the IEEE/CVF international conference on computer vision, 331-339, 2019	181	2019
Tissue classification in medical images PR Mendonca, S Sirohey, R Bhotika, F Zhao US Patent 8,208,707, 2012	128	2012
Flexible flow for 3d nonrigid tracking and shape recovery M Brand, R Bhotika Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	118	2001
System and method for estimating vascular flow using CT imaging RF Senzig, R Avancha, B Dorri, S Dutta, SJ Gray, J Hsieh, JI Jackson, ... US Patent 10,186,056, 2019	115	2019
Rethinking the Hyperparameters for Fine-tuning SS Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, A. Ravichandran, Rahul ... ICLR, 2020	103*	2020
Detecting rare events in video using semantic primitives with HMM MT Chan, A Hoogs, J Schmiederer, M Petersen Proceedings of the 17th International Conference on Pattern Recognition …, 2004	100	2004
A probabilistic theory of occupancy and emptiness R Bhotika, DJ Fleet, KN Kutulakos Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002	83	2002
System and method of navigation with captured images D Davenport, R Bhotika, P Mendonca, G Shaffer US Patent App. 11/479,559, 2006	71	2006
Apparatus and method for locating assets within a rail yard KB Welles, R Bhotika, DM Davenport, JE Hershey, RJ Mitchell, ... US Patent 7,805,227, 2010	68	2010
Effective atomic number accuracy for kidney stone characterization using spectral CT M Joshi, DA Langan, DS Sahani, A Kambadakone, S Aluri, K Procknow, ... Medical Imaging 2010: Physics of Medical Imaging 7622, 1136-1147, 2010	56	2010
Multi-material decomposition of spectral CT images PRS Mendonça, R Bhotika, M Maddah, B Thomsen, S Dutta, PE Licato, ... Medical Imaging 2010: Physics of Medical Imaging 7622, 633-641, 2010	56	2010
System and method for optical locomotive decoupling detection R Bhotika, IIKB Welles, JE Hershey, DM Davenport US Patent App. 12/638,123, 2010	49	2010
Task adaptive parameter sharing for multi-task learning M Wallingford, H Li, A Achille, A Ravichandran, C Fowlkes, R Bhotika, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	45	2022
Joint recognition of complex events and track matching MT Chan, A Hoogs, R Bhotika, A Perera, J Schmiederer, G Doretto 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	41	2006
Mobile device positioning system and method DM Davenport, PR Mendonca, R Bhotika, GR Shaffer US Patent App. 13/194,517, 2011	39	2011
Model-based analysis of local shape for lesion detection in CT scans PRS Mendonça, R Bhotika, SA Sirohey, WD Turner, JV Miller, RS Avila International conference on medical image computing and computer-assisted …, 2005	38	2005
Class-incremental learning with strong pre-trained models TY Wu, G Swaminathan, Z Li, A Ravichandran, N Vasconcelos, R Bhotika, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	36	2022
A linearized framework and a new benchmark for model selection for fine-tuning A Deshpande, A Achille, A Ravichandran, H Li, L Zancato, C Fowlkes, ... arXiv preprint arXiv:2102.00084, 2021	34	2021
Semi-supervised vision transformers at scale Z Cai, A Ravichandran, P Favaro, M Wang, D Modolo, R Bhotika, Z Tu, ... Advances in Neural Information Processing Systems 35, 25697-25710, 2022	31	2022
X-detr: A versatile architecture for instance-wise vision-language tasks Z Cai, G Kwon, A Ravichandran, E Bas, Z Tu, R Bhotika, S Soatto European Conference on Computer Vision, 290-308, 2022	31	2022

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