Markus Haltmeier

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Peter BurgholzerCEO RECENDT, Director CD LabVerificeret mail på recendt.at
Otmar ScherzerUniversity of ViennaVerificeret mail på univie.ac.at
Günther PaltaufAssociate Professor of Experimental Physics, University of GrazVerificeret mail på uni-graz.at
Johannes SchwabPostdoc University of InnsbruckVerificeret mail på uibk.ac.at
Robert NusterDepartment of Physics, University of GrazVerificeret mail på uni-graz.at
Stephan AntholzerData Lab HellVerificeret mail på datalabhell.at
Markus GrasmairDepartment of Mathematical Sciences, NTNU TrondheimVerificeret mail på math.ntnu.no
Frank LenzenITK Engineering GmbHVerificeret mail på iwr.uni-heidelberg.de
Gerhard ZangerlPostdoc MathematikVerificeret mail på uibk.ac.at
Thomas BererQorvo IncVerificeret mail på berer.org
Jürgen FrikelOTH RegensburgVerificeret mail på oth-regensburg.de
Housen LiGeorg-August-Universität GöttingenVerificeret mail på mathematik.uni-goettingen.de
Antonio LeitaoFull Professor, Federal University of St. CatarinaVerificeret mail på ufsc.br
Christoph KolbitschResearch Associate, PTB Berlin, GermanyVerificeret mail på ptb.de
Sunghwan MoonDepartment of mathematics, Kyungpook National UniversityVerificeret mail på knu.ac.kr
Christoph AngermannApplied ScientistVerificeret mail på risto.ph
Johannes Bauer-MarschallingerFronius InternationalVerificeret mail på fronius.com
Nadja GruberPostDoc, Medical University InnsbruckVerificeret mail på i-med.ac.at
Andreas KoflerPhysikalisch-Technische Bundesanstalt, Braunschweig and Berlin, GermanyVerificeret mail på ptb.de
Axel MunkFelix Bernstein Professor for Mathematical Statistics, Universität Göttingen and Max Planck FellowVerificeret mail på math.uni-goettingen.de

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Markus Haltmeier

Professor of Mathematics, University of Innsbruck

Verificeret mail på uibk.ac.at - Startside

Inverse Problems Computed Tomography Signal and Image Processing Applied Mathematics Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	946	2009
NETT: Solving inverse problems with deep neural networks H Li, J Schwab, S Antholzer, M Haltmeier Inverse Problems 36 (6), 065005, 2020	321	2020
Deep learning for photoacoustic tomography from sparse data S Antholzer, M Haltmeier, J Schwab Inverse problems in science and engineering 27 (7), 987-1005, 2019	317	2019
Inversion of spherical means and the wave equation in even dimensions D Finch, M Haltmeier, Rakesh SIAM Journal of Applied Mathematics 68 (2), 2007	313	2007
Exact and approximative imaging methods for photoacoustic tomography using an arbitrary detection surface P Burgholzer, GJ Matt, M Haltmeier, G Paltauf Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 75 (4 …, 2007	276	2007
A machine learning framework for customer purchase prediction in the non-contractual setting A Martínez, C Schmuck, S Pereverzyev Jr, C Pirker, M Haltmeier European Journal of Operational Research 281 (3), 588-596, 2020	269	2020
Photoacoustic tomography using a Mach-Zehnder interferometer as an acoustic line detector G Paltauf, R Nuster, M Haltmeier, P Burgholzer Applied Optics 46 (16), 3352-3358, 2007	253	2007
Sparse regularization with lq penalty term M Grasmair, M Haltmeier, O Scherzer Inverse Problems 24 (5), 055020, 2008	246	2008
Thermoacoustic tomography with integrating area and line detectors P Burgholzer, C Hofer, G Paltauf, M Haltmeier, O Scherzer IEEE Trans. on Ultrasonics, Ferroelectrics and Frequ. Control. 52 (9), 1577-1583, 2005	187	2005
Experimental evaluation of reconstruction algorithms for limited view photoacoustic tomography with line detectors G Paltauf, R Nuster, M Haltmeier, P Burgholzer Inverse Problems 23, S81–S94, 2007	184	2007
Necessary and sufficient conditions for linear convergence of ℓ¹‐regularization M Grasmair, O Scherzer, M Haltmeier Communications on Pure and Applied Mathematics 64 (2), 161-182, 2011	182	2011
Thermoacoustic computed tomography with large planar receivers M Haltmeier, O Scherzer, P Burgholzer, G Paltauf Inverse problems 20 (5), 1663, 2004	179	2004
Temporal back-projection algorithms for photoacoustic tomography with integrating line detectors P Burgholzer, J Bauer-Marschallinger, H Grün, M Haltmeier, G Paltauf Inverse Problems 23, S65–S80, 2007	178	2007
Filtered backprojection for thermoacoustic computed tomography in spherical geometry M Haltmeier, T Schuster, O Scherzer Mathematical Methods in the Applied Sciences 28 (16), 1919-1937, 2005	163	2005
Pipe failure modelling for water distribution networks using boosted decision trees D Winkler, M Haltmeier, M Kleidorfer, W Rauch, F Tscheikner-Gratl Structure and Infrastructure Engineering 14 (10), 1402-1411, 2018	160	2018
Deep null space learning for inverse problems: convergence analysis and rates J Schwab, S Antholzer, M Haltmeier Inverse Problems 35 (2), 025008, 2019	133	2019
Kaczmarz methods for regularizing nonlinear ill-posed equations I: Convergence analysis M Haltmeier, A Leitao, O Scherzer Inverse Problems and Imaging 1 (2), 289, 2007	123	2007
Thermoacoustic tomography and the circular Radon transform: exact inversion formula M Haltmeier, O Scherzer, P Burgholzer, R Nuster, G Paltauf Mathematical Models and Methods in Applied Sciences 17 (4), 635-655, 2007	113	2007
Image-based fashion product recommendation with deep learning H Tuinhof, C Pirker, M Haltmeier International conference on machine learning, optimization, and data science …, 2018	98	2018
Phospholipid acyl chain diversity controls the tissue-specific assembly of mitochondrial cardiolipins G Oemer, J Koch, Y Wohlfarter, MT Alam, K Lackner, S Sailer, L Neumann, ... Cell reports 30 (12), 4281-4291. e4, 2020	97	2020

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