Diana Mateus

Dikutip oleh

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Nassir NavabProfessor of Computer Science, Technische Universität MünchenEmail yang diverifikasi di cs.tum.edu
Radu Patrice HoraudEmeritus (since October 2022) at Inria GrenobleEmail yang diverifikasi di inria.fr
Amelia Jiménez-SánchezPostdoc at IT University of CopenhagenEmail yang diverifikasi di itu.dk
Benjamín Gutiérrez BeckerRocheEmail yang diverifikasi di tum.de
Mickael TardyEcole Centrale de Nantes, Nantes, France; Hera-MI, SAS, Nantes, France;Email yang diverifikasi di ec-nantes.fr
Victor Castañeda ZemanAssistant Professor, Universidad de ChileEmail yang diverifikasi di uchile.cl
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIEmail yang diverifikasi di uni-bonn.de
Olivier PaulyIntrinsic Innovation GmbHEmail yang diverifikasi di google.com
Peter BiberthalerChair, Trauma Surgery, Klinikum rechts der Isar, Technische Universität MünchenEmail yang diverifikasi di mri.tum.de
Fabio CuzzolinProfessor of Artificial Intelligence, Oxford Brookes UniversityEmail yang diverifikasi di brookes.ac.uk
Loic PeterResearch Associate, University College LondonEmail yang diverifikasi di ucl.ac.uk
Ludivine MorvanSenior Research Scientist, AlgoDxEmail yang diverifikasi di algodx.com
Gemma PiellaDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, BarcelonaEmail yang diverifikasi di upf.edu
Miguel A. González BallesterICREA - Universitat Pompeu FabraEmail yang diverifikasi di upf.edu
Anees KaziResearch Scientist, MGH, Harvard Medical SchoolEmail yang diverifikasi di mgh.harvard.edu
Ben GlockerImperial College LondonEmail yang diverifikasi di imperial.ac.uk
Alexander MeiningProfessor of Gastroenterology, University of WuerzburgEmail yang diverifikasi di ukw.de
Avinash SharmaIIT Jodhpur and IIIT HyderabadEmail yang diverifikasi di iitj.ac.in
Vanessa Gonzalez DuquePhD candidateEmail yang diverifikasi di unal.edu.co
Dawood Al ChantiAssociate Professor, Phelma Grenoble-INP, Gipsa-Lab, FranceEmail yang diverifikasi di grenoble-inp.fr

Ikuti

Diana Mateus

Ecole Centrale Nantes / LS2N

Email yang diverifikasi di ec-nantes.fr

Medical Image Analysis Machine Learning Computational Imaging


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
A deep metric for multimodal registration M Simonovsky, B Gutiérrez-Becker, D Mateus, N Navab, N Komodakis Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016	293	2016
Human skeleton tracking from depth data using geodesic distances and optical flow LA Schwarz, A Mkhitaryan, D Mateus, N Navab Image and Vision Computing 30 (3), 217-226, 2012	270	2012
Articulated shape matching using laplacian eigenfunctions and unsupervised point registration D Mateus, R Horaud, D Knossow, F Cuzzolin, E Boyer 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	250	2008
Fast multiple organ detection and localization in whole-body MR Dixon sequences O Pauly, B Glocker, A Criminisi, D Mateus, AM Möller, S Nekolla, N Navab Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011	141	2011
Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ...	120*	2016
Capsule networks against medical imaging data challenges A Jiménez-Sánchez, S Albarqouni, D Mateus Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018	112	2018
Estimating human 3d pose from time-of-flight images based on geodesic distances and optical flow LA Schwarz, A Mkhitaryan, D Mateus, N Navab 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011	100	2011
Workflow monitoring based on 3d motion features N Padoy, D Mateus, D Weinland, MO Berger, N Navab 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009	94	2009
Memory-aware curriculum federated learning for breast cancer classification A Jiménez-Sánchez, M Tardy, MAG Ballester, D Mateus, G Piella Computer Methods and Programs in Biomedicine 229, 107318, 2023	87	2023
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, ... Springer Nature, 2020	86	2020
Inexact matching of large and sparse graphs using laplacian eigenvectors D Knossow, A Sharma, D Mateus, R Horaud Graph-Based Representations in Pattern Recognition: 7th IAPR-TC-15 …, 2009	73	2009
SHREC 2010: robust correspondence benchmark A Bronstein, MM Bronstein, U Castellani, A Dubrovina, LJ Guibas, ... Eurographics Workshop on 3D Object Retrieval 10, 087-091, 2010	70	2010
Multi-camera scene flow by tracking 3-d points and surfels F Devernay, D Mateus, M Guilbert 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	63	2006
Manifold learning for tof-based human body tracking and activity recognition. LA Schwarz, D Mateus, V Castañeda, N Navab BMVC, 1-11, 2010	55	2010
Random survival forest to predict transplant-eligible newly diagnosed multiple myeloma outcome including FDG-PET radiomics: a combined analysis of two independent prospective … B Jamet, L Morvan, C Nanni, AV Michaud, C Bailly, S Chauvie, P Moreau, ... European journal of nuclear medicine and molecular imaging 48, 1005-1015, 2021	52	2021
Machine learning in computer-aided diagnosis: Medical imaging intelligence and analysis: Medical imaging intelligence and analysis K Suzuki IGI Global, 2012	49	2012
Precise proximal femur fracture classification for interactive training and surgical planning A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ... International journal of computer assisted radiology and surgery 15, 847-857, 2020	46*	2020
Robot visual navigation in semi-structured outdoor environments D Mateus, G Avina, M Devy Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005	46	2005
Medical-based deep curriculum learning for improved fracture classification A Jiménez-Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	45	2019
Optical classification of neoplastic colorectal polyps–a computer-assisted approach (the COACH study) J Renner, H Phlipsen, B Haller, F Navarro-Avila, Y Saint-Hill-Febles, ... Scandinavian journal of gastroenterology 53 (9), 1100-1106, 2018	45	2018

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