Muhammad Usman Ghani

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Devrim UnayProfessor, İzmir Demokrasi ÜniversitesiVerified email at idu.edu.tr
Mujdat CetinUniversity of RochesterVerified email at rochester.edu
Ali Özgür ArgunşahResearch Scientist at University of ZurichVerified email at hifo.uzh.ch
Clem KarlProfessor of Electrical and Computer Engineering and Biomedical Engineering, Boston UniversityVerified email at bu.edu
Tolga TasdizenUniversity of UtahVerified email at sci.utah.edu
Inbal IsraelyColumbia UniversityVerified email at columbia.edu
Sumeyra Ummuhan Demir KanikResearcherVerified email at vcu.edu
Ertunc ErdilPostdoctoral Researcher, Computer Vision Laboratory, ETH ZurichVerified email at vision.ee.ethz.ch
Fitsum MesadiAptivVerified email at utah.edu
Theofanis KarayannisBrain Research Institute, University of ZurichVerified email at hifo.uzh.ch
Lavdie RadaLecturer, Faculty of Engineering and Natural Sciences, Bahcesehir UniversityVerified email at eng.bau.edu.tr
Faik MeralResearch Scientist, Philips ResearchVerified email at philips.com
jean-luc robertSenior Scientist PhilipsVerified email at philips.com
Yazmín Ramiro CortésInstituto de Fisiologia Celular UNAMVerified email at email.ifc.unam.mx
Richard M. LeahyLeonard Silverman Chair in Electrical and Computer Engineering University of Southern CaliforniaVerified email at sipi.usc.edu
Justin P. HaldarAssociate Professor, Electrical and Computer Engineering, University of Southern CaliforniaVerified email at usc.edu
Rodrigo A. LobosUniversity of MichiganVerified email at usc.edu
Junseob ShinPrincipal Ultrasound Engineer @ AccupulseVerified email at accupulse.com
Balasundar RajuVerified email at philips.com
Jonathan R FinckePhilips Research North America: Senior ScientistVerified email at philips.com

Muhammad Usman Ghani

Senior ML Engineer, Mobile Industrial Robots

Verified email at mir-robots.com - Homepage

Machine Learning Computational Imaging Biomedical Image Processing Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fast enhanced CT metal artifact reduction using data domain deep learning MU Ghani, WC Karl IEEE Transactions on Computational Imaging 6, 181-193, 2019	136	2019
Deep learning based sinogram correction for metal artifact reduction MU Ghani, WC Karl Electronic Imaging 30, 1-4728, 2018	61	2018
Deep learning-based sinogram completion for low-dose CT MU Ghani, WC Karl 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop …, 2018	57*	2018
Dendritic spine classification using shape and appearance features based on two-photon microscopy MU Ghani, F Mesadi, SD Kanık, AÖ Argunşah, AF Hobbiss, I Israely, ... Journal of neuroscience methods 279, 13-21, 2017	47	2017
GazePointer: A real time mouse pointer control implementation based on eye gaze tracking MU Ghani, S Chaudhry, M Sohail, MN Geelani INMIC, 154-159, 2013	34	2013
Handwritten digit recognition using DCT and HMMs SS Ali, MU Ghani 2014 12th International Conference on Frontiers of Information Technology …, 2014	26	2014
Nonparametric joint shape and feature priors for image segmentation E Erdil, MU Ghani, L Rada, AO Argunsah, D Unay, T Tasdizen, M Cetin IEEE Transactions on Image Processing 26 (11), 5312-5323, 2017	25	2017
Integrating data and image domain deep learning for limited angle tomography using consensus equilibrium M Usman Ghani, W Clem Karl Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	20	2019
Data and image prior integration for image reconstruction using consensus equilibrium MU Ghani, WC Karl IEEE Transactions on Computational Imaging 7, 297-308, 2021	18	2021
CNN based sinogram denoising for low-dose CT MU Ghani, WC Karl Mathematics in Imaging, MM2D. 5, 2018	18	2018
An interactive time series image analysis software for dendritic spines AÖ Argunşah, E Erdil, MU Ghani, Y Ramiro-Cortés, AF Hobbiss, ... Scientific reports 12 (1), 12405, 2022	12	2022
Dendritic spine shape classification from two-photon microscopy images MU Ghani, SD Kanık, AÖ Argunşah, T Taşdizen, D Ünay, M Çetin 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015	12	2015
Dendritic spine shape analysis: A clustering perspective MU Ghani, E Erdil, SD Kanık, AÖ Argunşah, AF Hobbiss, I Israely, D Ünay, ... Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016	10	2016
Dendritic spine shape analysis using disjunctive normal shape models MU Ghani, F Mesadi, SD Kanık, AÖ Argunşah, I Israely, D Ünay, ... Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 347-350, 2016	8	2016
High frame-rate ultrasound imaging using deep learning beamforming MU Ghani, FC Meral, F Vignon, J Robert 2019 IEEE International Ultrasonics Symposium (IUS), 295-298, 2019	7	2019
On comparison of manifold learning techniques for dendritic spine classification MU Ghani, AÖ Argunşah, I Israely, D Ünay, T Taşdizen, M Çetin 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 339-342, 2016	6	2016
Dendritic spine shape analysis based on two-photon microscopy images MU Ghani	3*	2016
Data and image domain deep learning for computational imaging MU Ghani Boston University, 2021	2	2021
SpineS: An interactive time-series analysis software for dendritic spines AÖ Argunşah, E Erdil, MU Ghani, YR Cortés, AF Hobbiss, T Karayannis, ... bioRxiv, 2020.09. 12.294546, 2020	2	2020
Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods RA Lobos, MU Ghani, WC Karl, RM Leahy, JP Haldar IEEE transactions on computational imaging 7, 1044-1054, 2021	1	2021

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