المؤلفون: Stephan Antholzer, Markus Haltmeier

المصدر: Journal of Imaging, Vol 7, Iss 11, p 239 (2021)

مصطلحات موضوعية: deep learning, inverse problems, discretization of NETT, regularization, convergence analysis, learned regularizer, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2313-433X/7/11/239; https://doaj.org/toc/2313-433X

URL الوصول: https://doaj.org/article/1eee8aedbed74d978d81e41441e9cb51

المؤلفون: Julian Samaroo, Anton Smirnov, Valentin Churavy, Alexis Montoison, Ludovic Räss, Torrance Hodgson, Wiktor Phillips, Ali Ramadhan, Tim Besard, William Bernoudy, Michel Schanen, Julia TagBot, Gabriel Baraldi, Carsten Bauer, Mosè Giordano, Takafumi Arakaki, Stephan Antholzer, jariji, Utkarsh, Tom Hu, Tim Gymnich, Oscar Smith, Matin Raayai, Martin Kunz, Jukka Aho, Juan Ignacio Polanco, Hendrik Ranocha

Relation: https://github.com/JuliaGPU/AMDGPU.jl/tree/v1.1.3; https://doi.org/10.5281/zenodo.4677700; https://doi.org/10.5281/zenodo.14257071; oai:zenodo.org:14257071

الاتاحة: https://doi.org/10.5281/zenodo.14257071

المؤلفون: Julian Samaroo, Anton Smirnov, Valentin Churavy, Ludovic Räss, Torrance Hodgson, Wiktor Phillips, Ali Ramadhan, Jason Barmparesos, Tim Besard, Julia TagBot, Michel Schanen, Carsten Bauer, Mosè Giordano, Takafumi Arakaki, Stephan Antholzer, Alessandro, Alexis Montoison, Chris Elrod, Hendrik Ranocha, Martin Kunz, Matin Raayai, Tom Hu

Relation: https://github.com/JuliaGPU/AMDGPU.jl/tree/v0.5.6; https://doi.org/10.5281/zenodo.4677700; https://doi.org/10.5281/zenodo.8311904; oai:zenodo.org:8311904

الاتاحة: https://doi.org/10.5281/zenodo.8311904

المؤلفون: Gregor Ehrensperger, Johannes Sappl, Stephan Antholzer

Relation: https://github.com/noxthot/ws22_ulg_ds_julia/tree/1.2; https://doi.org/10.5281/zenodo.8251678; https://doi.org/10.5281/zenodo.8251750; oai:zenodo.org:8251750

الاتاحة: https://doi.org/10.5281/zenodo.8251750

المؤلفون: GregorE, kandolfp, Jonas Kusch, Johannes Sappl, Stephan Antholzer

Relation: https://github.com/noxthot/ws22_ulg_ds_julia/tree/1.1; https://doi.org/10.5281/zenodo.8251678; https://doi.org/10.5281/zenodo.8251679; oai:zenodo.org:8251679

الاتاحة: https://doi.org/10.5281/zenodo.8251679

المؤلفون: Mathias Bank, Viktoria Sandor, Robby Kraft, Stephan Antholzer, Martin Berger, Tilman Fabini, Balint Kovacs, Tobias Hell, Stefan Rutzinger, Kristina Schinegger

المصدر: Towards Radical Regeneration ISBN: 9783031132483

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cb75196f4fcefc1ab460a793d6cf0398
https://doi.org/10.1007/978-3-031-13249-0_2

المؤلفون: Johannes Schwab, Stephan Antholzer, Robert Nuster, Markus Haltmeier

مصطلحات موضوعية: Mathematics (arXiv), Physics (arXiv), math.NA (arXiv), physics.med-ph (arXiv), physics.optics (arXiv)

Relation: https://figshare.com/articles/preprint/Real-time_photoacoustic_projection_imaging_using_deep_learning/24670977

الاتاحة: https://doi.org/10.48550/arxiv.1801.06693
https://figshare.com/articles/preprint/Real-time_photoacoustic_projection_imaging_using_deep_learning/24670977

المؤلفون: Markus Haltmeier, Daniel Obmann, Florian Dreier, Stephan Antholzer, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer

المصدر: Opto-Acoustic Methods and Applications in Biophotonics V.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::090d05dc9da817dfd320cef5e3ff8684
https://doi.org/10.1117/12.2615869

المؤلفون: Julian Samaroo, Valentin Churavy, Anton Smirnov, Torrance Hodgson, Wiktor Phillips, Ludovic Räss, Ali Ramadhan, Jason Barmparesos, Julia TagBot, Michel Schanen, Tim Besard, Takafumi Arakaki, Stephan Antholzer, Alessandro, Alexis, Chris Elrod, Matin Raayai, Tom Hu

Relation: https://github.com/JuliaGPU/AMDGPU.jl/tree/v0.4.4; https://doi.org/10.5281/zenodo.4677700; https://doi.org/10.5281/zenodo.7254560; oai:zenodo.org:7254560

الاتاحة: https://doi.org/10.5281/zenodo.7254560

المؤلفون: Stephan Antholzer, Markus Haltmeier, Johannes Schwab

المصدر: Inverse Problems in Science and Engineering

مصطلحات موضوعية: FOS: Computer and information sciences, sparse data, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computed tomography, 010103 numerical & computational mathematics, Iterative reconstruction, 01 natural sciences, Convolutional neural network, Machine Learning (cs.LG), Image reconstruction algorithm, convolutional neural networks, medicine, Computer vision, 0101 mathematics, ComputingMethodologies_COMPUTERGRAPHICS, Sparse matrix, Photoacoustic tomography, medicine.diagnostic_test, inverse problems, business.industry, Applied Mathematics, Deep learning, General Engineering, deep learning, 92C55, 45Q05, 65R32, Original Articles, Inverse problem, image reconstruction, Computer Science Applications, 010101 applied mathematics, Artificial intelligence, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d7bf367427e321c5e22dddc628980b7
https://doi.org/10.1080/17415977.2018.1518444

المؤلفون: Julian Samaroo, Valentin Churavy, Wiktor Phillips, Ali Ramadhan, Jason Barmparesos, Julia TagBot, Tim Besard, Takafumi Arakaki, Stephan Antholzer, Alessandro, Chris Elrod, Michel Schanen

Relation: https://github.com/JuliaGPU/AMDGPU.jl/tree/v0.2.17; https://doi.org/10.5281/zenodo.4677700; https://doi.org/10.5281/zenodo.5705666; oai:zenodo.org:5705666

الاتاحة: https://doi.org/10.5281/zenodo.5705666

المؤلفون: Julian Samaroo, Valentin Churavy, Wiktor Phillips, Jason Barmparesos, Julia TagBot, Takafumi Arakaki, Stephan Antholzer, Alessandro, chriselrod, Tim Besard

Relation: https://github.com/JuliaGPU/AMDGPU.jl/tree/v0.2.6-zenodo; https://doi.org/10.5281/zenodo.4677700; https://doi.org/10.5281/zenodo.4677701; oai:zenodo.org:4677701

الاتاحة: https://doi.org/10.5281/zenodo.4677701

المؤلفون: Stephan Antholzer, Markus Haltmeier

المصدر: Journal of Imaging
Journal of Imaging, Vol 7, Iss 239, p 239 (2021)
Volume 7
Issue 11

مصطلحات موضوعية: Discretization, Computer science, Computer applications to medicine. Medical informatics, R858-859.7, discretization of NETT, 02 engineering and technology, photoacoustic tomography, Regularization (mathematics), Article, convergence analysis, 030218 nuclear medicine & medical imaging, Tikhonov regularization, 03 medical and health sciences, 0302 clinical medicine, Operator (computer programming), Convergence (routing), Photography, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Applied mathematics, Radiology, Nuclear Medicine and imaging, Mathematics - Numerical Analysis, Electrical and Electronic Engineering, TR1-1050, Artificial neural network, inverse problems, business.industry, limited data, Deep learning, deep learning, QA75.5-76.95, Numerical Analysis (math.NA), Inverse problem, Computer Graphics and Computer-Aided Design, regularization, Electronic computers. Computer science, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, learned regularizer, business

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f72cb4dde6b25f96dd09e1aa4bbe830c

المؤلفون: Markus Haltmeier, Stephan Antholzer, Johannes Schwab

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e71f6a66e60838b3b032feb4ac290448
https://doi.org/10.1142/11367

المؤلفون: Stephan Antholzer, Markus Haltmeier, Johannes Schwab

المصدر: Photons Plus Ultrasound: Imaging and Sensing 2019.

مصطلحات موضوعية: Ground truth, business.industry, Computer science, Deep learning, Image and Video Processing (eess.IV), Detector, 02 engineering and technology, Iterative reconstruction, Electrical Engineering and Systems Science - Image and Video Processing, Inverse problem, Directivity, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Filtered backprojection, 0302 clinical medicine, Photoacoustic tomography, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Algorithm

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c4bf906a5ec98629f4d6be3c84d1e8e
https://doi.org/10.1117/12.2508438

المؤلفون: Johannes Schwab, Johannes Bauer-Marschallinger, Peter Burgholzer, Markus Haltmeier, Stephan Antholzer

المصدر: Photons Plus Ultrasound: Imaging and Sensing 2019.

مصطلحات موضوعية: Network architecture, Artificial neural network, business.industry, Computer science, Deep learning, Experimental data, Numerical Analysis (math.NA), Iterative reconstruction, Inverse problem, 01 natural sciences, Regularization (mathematics), 030218 nuclear medicine & medical imaging, 010309 optics, 03 medical and health sciences, 0302 clinical medicine, Compressed sensing, 0103 physical sciences, FOS: Mathematics, Mathematics - Numerical Analysis, Artificial intelligence, business, Algorithm

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa5f1be53d54fb63b21f74081474233
https://doi.org/10.1117/12.2508486

المؤلفون: Robert Nuster, Stephan Antholzer, Markus Haltmeier, Johannes Schwab

مصطلحات موضوعية: Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Photoacoustic imaging in biomedicine, FOS: Physical sciences, 02 engineering and technology, Iterative reconstruction, 01 natural sciences, Convolutional neural network, 010309 optics, Set (abstract data type), 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Mathematics - Numerical Analysis, Sparse matrix, business.industry, Deep learning, Process (computing), Numerical Analysis (math.NA), Physics - Medical Physics, Photoacoustic tomography, 020201 artificial intelligence & image processing, Artificial intelligence, Medical Physics (physics.med-ph), business, Algorithm

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e84f64cbc12d45e0e12a47c6a8b8451e

المؤلفون: Robert Nuster, Stephan Antholzer, Günther Paltauf, Johannes Schwab, Markus Haltmeier

مصطلحات موضوعية: Artificial neural network, business.industry, Deep learning, Iterative reconstruction, Numerical Analysis (math.NA), Inverse problem, 01 natural sciences, Regularization (mathematics), 030218 nuclear medicine & medical imaging, Data-driven, 010101 applied mathematics, 03 medical and health sciences, Singular value, 0302 clinical medicine, Singular value decomposition, FOS: Mathematics, Applied mathematics, Mathematics - Numerical Analysis, Artificial intelligence, 0101 mathematics, business, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d15b44649be6fcfeb8baaa1e359cca9f

المؤلفون: Stephan Antholzer, Johannes Schwab, Markus Haltmeier

المصدر: 2018 IEEE International Ultrasonics Symposium (IUS).

مصطلحات موضوعية: Mean squared error, Computer science, business.industry, Deep learning, Sampling (statistics), Iterative reconstruction, Inverse problem, Residual, 01 natural sciences, 010101 applied mathematics, 010309 optics, Bernoulli's principle, Compressed sensing, 0103 physical sciences, Photoacoustic tomography, Artificial intelligence, 0101 mathematics, business, Algorithm, Sparse matrix

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9c8adc5a6bedf9b7054aab0ddf5f7932
https://doi.org/10.1109/ultsym.2018.8579737

المؤلفون: Johannes Schwab, Housen Li, Stephan Antholzer, Markus Haltmeier

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, 010103 numerical & computational mathematics, Bregman divergence, 01 natural sciences, Convolutional neural network, Machine Learning (cs.LG), Theoretical Computer Science, Tikhonov regularization, Convergence (routing), FOS: Mathematics, Mathematics - Numerical Analysis, 0101 mathematics, Mathematical Physics, Sparse matrix, Mathematics, Artificial neural network, business.industry, Applied Mathematics, Deep learning, Numerical Analysis (math.NA), Inverse problem, Computer Science Applications, 010101 applied mathematics, Signal Processing, Artificial intelligence, business, Algorithm

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8129b461407f9db04fc926b31a817e6
http://arxiv.org/abs/1803.00092