Haltmeier, Markus

1. NETT: solving inverse problems with deep neural networks
   2018/02/28 by Housen Li, Li, Housen, Johannes Schwab +5 · 8 citations
   Engineering · Mathematics · #Numerical methods in inverse problems #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
2. Deep Learning for Photoacoustic Tomography from Sparse Data
   2017/04/15 by Antholzer, Stephan, Haltmeier, Markus, Schwab, Johannes · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition
   2020/08/14 by Andrea Ebner, Ebner, Andrea, Jürgen Frikel +7 · 2 citations
   Mathematics · Engineering · #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Photoacoustic and Ultrasonic Imaging
4. Analytic inversion of a conical Radon transform arising in application of Compton cameras on the cylinder
   2016/07/04 by Moon, Sunghwan, Haltmeier, Markus · 1 citation
   #FOS: Mathematics #Numerical Analysis (math.NA)
5. Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed
   2016/11/22 by Haltmeier, Markus, Nguyen, Linh V. · 1 citation
   #Analysis of PDEs (math.AP) #FOS: Mathematics
6. A Joint Deep Learning Approach for Automated Liver and Tumor\n Segmentation
   2019/02/21 by Nadja Gruber, Gruber, Nadja, Stephan Antholzer +7 · 1 citation
   Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Hepatocellular Carcinoma Treatment and Prognosis #Numerical Analysis (math.NA) #Radiomics and Machine Learning in Medical Imaging
7. Sparse regularization of inverse problems by operator-adapted frame thresholding
   2019/09/20 by Jürgen Frikel, Frikel, Jürgen, Markus Haltmeier +1 · 1 citation
   Engineering · Medicine · #FOS: Mathematics #Numerical Analysis (math.NA) #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques #Ultrasound Imaging and Elastography
8. NETT Regularization for Compressed Sensing Photoacoustic Tomography
   2019/01/31 by Stephan Antholzer, Johannens Schwab, Antholzer, Stephan +7 · 1 citation
   Engineering · #Photoacoustic and Ultrasonic Imaging #Advanced X-ray and CT Imaging #Thermography and Photoacoustic Techniques
9. Sparse aNETT for Solving Inverse Problems with Deep Learning
   2020/04/20 by Obmann, Daniel, Nguyen, Linh, Schwab, Johannes +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #electronic engineering #information engineering
10. Regularization of Inverse Problems by Neural Networks
    2020/06/06 by Markus Haltmeier, Linh V. Nguyen, Haltmeier, Markus +1 · 1 citation
    Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Photoacoustic and Ultrasonic Imaging #Statistical and numerical algorithms
11. Sparse2Inverse: Self-supervised inversion of sparse-view CT data
    2024/02/26 by Gruber, Nadja, Schwab, Johannes, Gizewski, Elke +1 · 2 citations
    #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
12. Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
    2024/02/09 by Blumenthal, Moritz, Fantinato, Chiara, Unterberg-Buchwald, Christina +3 · 3 citations
    #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Medical Physics (physics.med-ph) #electronic engineering #information engineering
13. Plug-and-Play image reconstruction is a convergent regularization method
    2022/12/13 by Ebner, Andrea, Haltmeier, Markus · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA)
14. Convergence of non-linear diagonal frame filtering for regularizing inverse problems
    2023/08/29 by Ebner, Andrea, Haltmeier, Markus · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA)
15. Learning Regularization Functionals for Inverse Problems: A Comparative Study
    2025/10/02 by Hertrich, Johannes, Wong, Hok Shing, Denker, Alexander +16 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
16. Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
    2025/03/25 by Gruber, Nadja, Schwab, Johannes, Haltmeier, Markus +3 · 1 citation
    #92C55 #94A08 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #G.3 #I.2.10 #I.4.4 #I.4.5 #Image and Video Processing (eess.IV) #Optimization and Control (math.OC) #electronic engineering #information engineering