Anirban Mukhopadhyay

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Coauteurs

Camila GonzálezStanford UniversityAdresse e-mail validée de stanford.edu
Moritz FuchsAdresse e-mail validée de gris.tu-darmstadt.de
Arjan KuijperProfessor at Fraunhofer IGD and TU DarmstadtAdresse e-mail validée de igd.fraunhofer.de
Ilkay OksuzIstanbul Technical University, King's College LondonAdresse e-mail validée de itu.edu.tr
David KüglerDeutsches Zentrum für neurodegenerative ErkrankungenAdresse e-mail validée de dzne.de
Manish SahuJohns Hopkins UniversityAdresse e-mail validée de jhu.edu
Amin RanemTechnical University of DarmstadtAdresse e-mail validée de gris.informatik.tu-darmstadt.de
Johannes FauserCarl Zeiss AGAdresse e-mail validée de zeiss.com
John KalkhofPhD Student, TU DarmstadtAdresse e-mail validée de gris.informatik.tu-darmstadt.de
Antoine P. SannerTechnical University of Darmstadt, Universitätsmedizin MainzAdresse e-mail validée de gris.tu-darmstadt.de
Henry John KrumbPhD Student, Technische Universität DarmstadtAdresse e-mail validée de gris.tu-darmstadt.de
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaAdresse e-mail validée de cs.uga.edu
Yannik FrischPHD Student, TU DarmstadtAdresse e-mail validée de gris.tu-darmstadt.de
Daniel Pinto dos SantosUniversity Hospital of CologneAdresse e-mail validée de uk-koeln.de
Marie-Lisa EichPathology Resident, CharitéAdresse e-mail validée de charite.de
Niklas BabendererdePhD Candidate, TU DarmstadtAdresse e-mail validée de gris.tu-darmstadt.de
Nick LemkePhD StudentAdresse e-mail validée de gris.informatik.tu-darmstadt.de
Caroline EssertProfessor, University of StrasbourgAdresse e-mail validée de unistra.fr
Mirko KonstantinDoktorand der Informatik, TU DarmstadtAdresse e-mail validée de gris.informatik.tu-darmstadt.de
Ssharvien Kumar R SivakumarPhD Student, TU DarmstadtAdresse e-mail validée de gris.informatik.tu-darmstadt.de

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Anirban Mukhopadhyay

TU Darmstadt

Adresse e-mail validée de gris.tu-darmstadt.de - Page d'accueil

Medical Image Analysis Image-Guided Surgery Neural Cellular Automata


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
GANs for medical image analysis S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ... Artificial intelligence in medicine 109, 101938, 2020	557	2020
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical image analysis 52, 24-41, 2019	133	2019
Knee menisci segmentation using convolutional neural networks: data from the osteoarthritis initiative A Tack, A Mukhopadhyay, S Zachow Osteoarthritis and cartilage 26 (5), 680-688, 2018	131	2018
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ... IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017	97	2017
Generative adversarial networks: a primer for radiologists JM Wolterink, A Mukhopadhyay, T Leiner, TJ Vogl, AM Bucher, I Išgum Radiographics 41 (3), 840-857, 2021	64	2021
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ... Communications Engineering 2 (1), 23, 2023	62	2023
Addressing multi-label imbalance problem of surgical tool detection using CNN M Sahu, A Mukhopadhyay, A Szengel, S Zachow International journal of computer assisted radiology and surgery 12, 1013-1020, 2017	62	2017
Tool and phase recognition using contextual CNN features M Sahu, A Mukhopadhyay, A Szengel, S Zachow arXiv preprint arXiv:1610.08854, 2016	62	2016
Toward an automatic preoperative pipeline for image-guided temporal bone surgery J Fauser, I Stenin, M Bauer, WH Hsu, J Kristin, T Klenzner, J Schipper, ... International journal of computer assisted radiology and surgery 14, 967-976, 2019	55	2019
M3d-CAM: A PyTorch library to generate 3D attention maps for medical deep learning K Gotkowski, C Gonzalez, A Bucher, A Mukhopadhyay Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021	54	2021
An efficient Riemannian statistical shape model using differential coordinates: with application to the classification of data from the osteoarthritis initiative C von Tycowicz, F Ambellan, A Mukhopadhyay, S Zachow Medical image analysis 43, 1-9, 2018	48	2018
A survey on shape-constraint deep learning for medical image segmentation S Bohlender, I Oksuz, A Mukhopadhyay IEEE Reviews in Biomedical Engineering 16, 225-240, 2021	46	2021
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation M Sahu, R Strömsdörfer, A Mukhopadhyay, S Zachow International conference on medical image computing and computer-assisted …, 2020	43	2020
Distance-based detection of out-of-distribution silent failures for covid-19 lung lesion segmentation C González, K Gotkowski, M Fuchs, A Bucher, A Dadras, R Fischbach, ... Medical image analysis 82, 102596, 2022	41	2022
i3PosNet: instrument pose estimation from X-ray in temporal bone surgery D Kügler, J Sehring, A Stefanov, I Stenin, J Kristin, T Klenzner, J Schipper, ... International journal of computer assisted radiology and surgery 15 (7 …, 2020	40*	2020
Detecting when pre-trained nnu-net models fail silently for covid-19 lung lesion segmentation C Gonzalez, K Gotkowski, A Bucher, R Fischbach, I Kaltenborn, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	36	2021
What is wrong with continual learning in medical image segmentation? C Gonzalez, N Lemke, G Sakas, A Mukhopadhyay arXiv preprint arXiv:2010.11008, 2020	32	2020
Habitat-Net: Segmentation of habitat images using deep learning JF Abrams, A Vashishtha, ST Wong, A Nguyen, A Mohamed, S Wieser, ... Ecological informatics 51, 121-128, 2019	30	2019
Planning nonlinear access paths for temporal bone surgery J Fauser, G Sakas, A Mukhopadhyay International journal of computer assisted radiology and surgery 13, 637-646, 2018	30	2018
Simulation-to-real domain adaptation with teacher–student learning for endoscopic instrument segmentation M Sahu, A Mukhopadhyay, S Zachow International journal of computer assisted radiology and surgery 16 (5), 849-859, 2021	25	2021

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