default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndreas Hauptmann
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j17]Leatile Marata
, Onel Luis Alcaraz López, Andreas Hauptmann, Hamza Djelouat, Hirley Alves:
Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications. IEEE Trans. Wirel. Commun. 23(6): 5473-5487 (2024)- [c6]Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix:
A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints. ICASSP Workshops 2024: 69-70 - 2023
- [j16]Efthymios Maneas, Andreas Hauptmann, Erwin J. Alles, Wenfeng Xia, Sacha Noimark, Anna L. David, Simon R. Arridge, Adrien E. Desjardins:
Enhancement of instrumented ultrasonic tracking images using deep learning. Int. J. Comput. Assist. Radiol. Surg. 18(2): 395-399 (2023) - [j15]Arttu Arjas, Mikko J. Sillanpää, Andreas Hauptmann:
Sequential Model Correction for Nonlinear Inverse Problems. SIAM J. Imaging Sci. 16(4): 2015-2039 (2023) - [j14]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. 40(1): 164-182 (2023) - [c5]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb:
Robust Data-Driven Accelerated Mirror Descent. ICASSP 2023: 1-5 - [i36]Arttu Arjas, Mikko J. Sillanpää, Andreas Hauptmann:
Sequential model correction for nonlinear inverse problems. CoRR abs/2301.10094 (2023) - [i35]Andreas Hauptmann, Jenni Poimala:
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography. CoRR abs/2304.01963 (2023) - [i34]William Herzberg, Andreas Hauptmann, Sarah Jane Hamilton:
Domain independent post-processing with graph U-nets: Applications to Electrical Impedance Tomographic Imaging. CoRR abs/2305.05020 (2023) - [i33]Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry:
Convergent regularization in inverse problems and linear plug-and-play denoisers. CoRR abs/2307.09441 (2023) - [i32]Derick Nganyu Tanyu, Jianfeng Ning, Andreas Hauptmann, Bangti Jin, Peter Maass:
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches. CoRR abs/2310.18636 (2023) - [i31]Simon R. Arridge, Andreas Hauptmann, Yury Korolev:
Inverse Problems with Learned Forward Operators. CoRR abs/2311.12528 (2023) - [i30]Andreas Hauptmann, Tanja Tarvainen:
Model-based reconstructions for quantitative imaging in photoacoustic tomography. CoRR abs/2311.15735 (2023) - 2022
- [j13]Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin:
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging 8: 1210-1222 (2022) - [j12]Meghdoot Mozumder, Andreas Hauptmann, Ilkka Nissilä, Simon R. Arridge, Tanja Tarvainen:
A Model-Based Iterative Learning Approach for Diffuse Optical Tomography. IEEE Trans. Medical Imaging 41(5): 1289-1299 (2022) - [j11]Simo Särkkä, Lassi Roininen, Manon Kok, Roland Hostettler, Andreas Hauptmann:
Guest Editorial: MLSP 2020 Special Issue. J. Signal Process. Syst. 94(2): 131-132 (2022) - [i29]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned reconstruction with convergence guarantees. CoRR abs/2206.05431 (2022) - [i28]Sebastian Springer, Aldo Glielmo, Angelina Senchukova, Tomi Kauppi, Jarkko Suuronen, Lassi Roininen, Heikki Haario, Andreas Hauptmann:
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs. CoRR abs/2206.09595 (2022) - [i27]Anssi Manninen, Meghdoot Mozumder, Tanja Tarvainen, Andreas Hauptmann:
Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography. CoRR abs/2209.09981 (2022) - [i26]Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen, Simon R. Arridge, Andreas Hauptmann:
Unsupervised denoising for sparse multi-spectral computed tomography. CoRR abs/2211.01159 (2022) - 2021
- [j10]Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Simon Rit, Pierre-Antoine Rodesch, Thomas Broussaud, Suzanne Bussod, Philippe C. Douek, Andreas Hauptmann, Simon R. Arridge, Françoise Peyrin:
Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach. IEEE Access 9: 25632-25647 (2021) - [j9]Danny Smyl, Tyler N. Tallman, Jonathan A. Black, Andreas Hauptmann, Dong Liu:
Learning and correcting non-Gaussian model errors. J. Comput. Phys. 432: 110152 (2021) - [j8]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction in Inverse Problems. SIAM J. Imaging Sci. 14(1): 92-127 (2021) - [j7]Danny Smyl, Tyler N. Tallman, Dong Liu, Andreas Hauptmann:
An Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values. IEEE Signal Process. Lett. 28: 748-752 (2021) - [j6]William Herzberg, Daniel B. Rowe, Andreas Hauptmann, Sarah Jane Hamilton:
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems. IEEE Trans. Computational Imaging 7: 1341-1353 (2021) - [i25]William Herzberg, Daniel B. Rowe, Andreas Hauptmann, Sarah Jane Hamilton:
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems. CoRR abs/2103.15138 (2021) - [i24]Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin:
Unsupervised Knowledge-Transfer for Learned Image Reconstruction. CoRR abs/2107.02572 (2021) - [i23]Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon R. Arridge, Adrien E. Desjardins, Mikko J. Sillanpää, Andreas Hauptmann:
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data. CoRR abs/2111.09631 (2021) - [i22]Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin:
Is Deep Image Prior in Need of a Good Education? CoRR abs/2111.11926 (2021) - 2020
- [j5]Arttu Arjas, Andreas Hauptmann, Mikko J. Sillanpää:
Estimation of dynamic SNP-heritability with Bayesian Gaussian process models. Bioinform. 36(12): 3795-3802 (2020) - [j4]Simon R. Arridge, Andreas Hauptmann:
Networks for Nonlinear Diffusion Problems in Imaging. J. Math. Imaging Vis. 62(3): 471-487 (2020) - [j3]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. IEEE Trans. Computational Imaging 6: 843-856 (2020) - [c4]Suzanne Bussod, Juan F. P. J. Abascal, Simon R. Arridge, Andreas Hauptmann, Christine Chappard, Nicolas Ducros, Françoise Peyrin:
Convolutional Neural Network for Material Decomposition in Spectral CT Scans. EUSIPCO 2020: 1259-1263 - [c3]Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Suzanne Bussod, Andreas Hauptmann, Simon R. Arridge, Philippe Douek, Françoise Peyrin:
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach. ISBI Workshops 2020: 1-4 - [c2]Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann:
Blind Hierarchical Deconvolution. MLSP 2020: 1-6 - [i21]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction. CoRR abs/2005.07069 (2020) - [i20]Simon Robert Arridge, Pascal Fernsel, Andreas Hauptmann:
Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems. CoRR abs/2005.14042 (2020) - [i19]Danny Smyl, Tyler N. Tallman, Jonathan A. Black, Andreas Hauptmann, Dong Liu:
Learning and correcting non-Gaussian model errors. CoRR abs/2005.14592 (2020) - [i18]Martin Burger, Andreas Hauptmann, Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska:
Sequentially optimized projections in X-ray imaging. CoRR abs/2006.12579 (2020) - [i17]Andreas Hauptmann, Ozan Öktem, Carola Schönlieb:
Image reconstruction in dynamic inverse problems with temporal models. CoRR abs/2007.10238 (2020) - [i16]Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann:
Blind hierarchical deconvolution. CoRR abs/2007.11391 (2020) - [i15]Andreas Hauptmann, Jonas Adler:
On the unreasonable effectiveness of CNNs. CoRR abs/2007.14745 (2020) - [i14]Andreas Hauptmann, Ben T. Cox:
Deep Learning in Photoacoustic Tomography: Current approaches and future directions. CoRR abs/2009.07608 (2020) - [i13]Andreas Hauptmann, Danny Smyl:
Fusing electrical and elasticity imaging. CoRR abs/2010.06847 (2020) - [i12]Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon R. Arridge, Bangti Jin:
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction. CoRR abs/2011.08413 (2020) - [i11]Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden:
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction. CoRR abs/2012.05303 (2020) - [i10]Danny Smyl, Tyler N. Tallman, Dong Liu, Andreas Hauptmann:
An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values. CoRR abs/2012.07676 (2020)
2010 – 2019
- 2019
- [i9]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. CoRR abs/1908.00936 (2019) - [i8]Jennifer Anne Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon R. Arridge, Rodney Jones, Vivek Muthurangu:
Rapid Whole-Heart CMR with Single Volume Super-resolution. CoRR abs/1912.10503 (2019) - 2018
- [j2]Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Jonas Adler, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge:
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Trans. Medical Imaging 37(6): 1382-1393 (2018) - [j1]Sarah Jane Hamilton, Andreas Hauptmann:
Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks. IEEE Trans. Medical Imaging 37(10): 2367-2377 (2018) - [c1]Andreas Hauptmann, Ben T. Cox, Felix Lucka, Nam Huynh, Marta M. Betcke, Paul C. Beard, Simon R. Arridge:
Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction. MLMIR@MICCAI 2018: 103-111 - [i7]Andreas Hauptmann, Simon R. Arridge, Felix Lucka, Vivek Muthurangu, Jennifer Anne Steeden:
Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease. CoRR abs/1803.05192 (2018) - [i6]Andreas Hauptmann, Masaru Ikehata, Hiromichi Itou, Samuli Siltanen:
Revealing cracks inside conductive bodies by electric surface measurements. CoRR abs/1807.01538 (2018) - [i5]Andreas Hauptmann, Ben T. Cox, Felix Lucka, Nam Huynh, Marta M. Betcke, Paul C. Beard, Simon R. Arridge:
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction. CoRR abs/1807.03191 (2018) - [i4]Simon R. Arridge, Andreas Hauptmann:
Networks for Nonlinear Diffusion Problems in Imaging. CoRR abs/1811.12084 (2018) - [i3]Sarah Jane Hamilton, Asko Hänninen, Andreas Hauptmann, Ville Kolehmainen:
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT). CoRR abs/1811.12830 (2018) - 2017
- [i2]Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge:
Model based learning for accelerated, limited-view 3D photoacoustic tomography. CoRR abs/1708.09832 (2017) - [i1]Sarah Jane Hamilton, Andreas Hauptmann:
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks. CoRR abs/1711.03180 (2017)
Coauthor Index
aka: Simon Robert Arridge
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-06 00:38 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
