Anirban Mukhopadhyay

Citirano

	Sve	Od 2018.
Citati	1355	1291
H-indeks	18	18
i10-indeks	29	26

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Suautori

Camila GonzálezStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Arjan KuijperProfessor at Fraunhofer IGDPotvrđena adresa e-pošte na igd.fraunhofer.de
Ilkay OksuzIstanbul Technical University, King's College LondonPotvrđena adresa e-pošte na itu.edu.tr
Suchendra BhandarkarProfessor of Computer Science, The University of GeorgiaPotvrđena adresa e-pošte na uga.edu
Manish SahuJohns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
David KüglerDeutsches Zentrum für neurodegenerative ErkrankungenPotvrđena adresa e-pošte na dzne.de
Sotirios TsaftarisChair in Machine Learning and Computer Vision, The University of EdinburghPotvrđena adresa e-pošte na ed.ac.uk
Johannes FauserTechnische Universität DarmstadtPotvrđena adresa e-pošte na tu-darmstadt.de
Moritz FuchsPhd Student, TU DarmstadtPotvrđena adresa e-pošte na gris.informatik.tu-darmstadt.de
Henry John KrumbPhD Student, Technische Universität DarmstadtPotvrđena adresa e-pošte na gris.tu-darmstadt.de
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaPotvrđena adresa e-pošte na cs.uga.edu
Amin RanemTechnical University of DarmstadtPotvrđena adresa e-pošte na gris.informatik.tu-darmstadt.de
Antoine P. SannerTechnical University of Darmstadt, Universitätsmedizin MainzPotvrđena adresa e-pošte na gris.tu-darmstadt.de
John KalkhofPhD Student, TU DarmstadtPotvrđena adresa e-pošte na gris.informatik.tu-darmstadt.de
Ahmed OthmanUniversity Professor of NeuroradiologyPotvrđena adresa e-pošte na uni-mainz.de
Jonathan StieberPhD Student, TU DarmstadtPotvrđena adresa e-pošte na gris.tu-darmstadt.de
Yannik FrischPHD Student, TU DarmstadtPotvrđena adresa e-pošte na gris.tu-darmstadt.de
Daniel Pinto dos SantosUniversity Hospital of ColognePotvrđena adresa e-pošte na uk-koeln.de
Caroline EssertProfessor, University of StrasbourgPotvrđena adresa e-pošte na unistra.fr

Prati

Anirban Mukhopadhyay

TU Darmstadt

Potvrđena adresa e-pošte na gris.tu-darmstadt.de - Početna stranica

Out-of-Distribution Detection Medical Image Analysis Image-Guided Surgery Computational Pathology


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	357	2020
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	107	2018
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	96	2019
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	82	2017
Tool and phase recognition using contextual CNN features M Sahu, A Mukhopadhyay, A Szengel, S Zachow arXiv preprint arXiv:1610.08854, 2016	52	2016
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	50	2017
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	36	2019
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	36	2018
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	32*	2023
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	30	2020
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	29	2021
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	29	2021
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	25	2021
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	25	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	24	2018
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, 1137-1145, 2020	23*	2020
Unsupervised myocardial segmentation for cardiac BOLD I Oksuz, A Mukhopadhyay, R Dharmakumar, SA Tsaftaris IEEE transactions on medical imaging 36 (11), 2228-2238, 2017	21	2017
A survey on shape-constraint deep learning for medical image segmentation S Bohlender, I Oksuz, A Mukhopadhyay IEEE Reviews in Biomedical Engineering, 2021	19	2021
Total variation random forest: Fully automatic mri segmentation in congenital heart diseases A Mukhopadhyay Reconstruction, Segmentation, and Analysis of Medical Images: First …, 2017	18	2017
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	16	2021

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