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Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-based non-linear adaptive subtraction with sparseness constraints”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1977-1980.
Rayan Saab, Deli Wang, Ozgur Yilmaz, and Felix J. Herrmann, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2510-2514.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain least-squares migration with sparseness constraints”, in EAGE Annual Conference Proceedings, 2004.
Felix J. Herrmann, Peyman P. Moghaddam, and Deli Wang, “Curvelet-domain matched filtering”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27.
Felix J. Herrmann, “Curvelet-domain matched filtering”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 3643-3649.
Reza Shahidi and Felix J. Herrmann, “Curvelet-domain matched filtering with frequency-domain regularization”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3645-3649.
Felix J. Herrmann and D. J. Verschuur, “Curvelet-domain multiple elimination with sparseness constraints”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1333-1336.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain preconditioned 'wave-equation' depth-migration with sparseness and illumination constraints”, in EAGE Annual Conference Proceedings, 2004.
Vishal Kumar and Felix J. Herrmann, “Curvelet-regularized seismic deconvolution”, in CSEG Annual Conference Proceedings, 2008.
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, “Data normalization strategies for full-waveform inversion”, in EAGE Annual Conference Proceedings, 2017.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Vishal Kumar and Felix J. Herrmann, “Deconvolution with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, in EAGE Annual Conference Proceedings, 2020.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Deep-learning based ocean bottom seismic wavefield recovery”, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Felix J. Herrmann, “(De)-Focused wavefield reconstructions”, in SINBAD 2008, 2008.
Rongrong Wang and Felix J. Herrmann, “A denoising formulation of full-waveform inversion”, in SEG Technical Program Expanded Abstracts, 2017, pp. 1594-1598.
Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Denoising high-amplitude cross-flow noise using curvelet-based stable principle component pursuit”, in EAGE Annual Conference Proceedings, 2017.
Tim T.Y. Lin, Haneet Wason, and Felix J. Herrmann, “Dense shot-sampling via time-jittered marine sources”, in SEG Workshop on Simultaneous Sources; Houston, 2013.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “De-risking Carbon Capture and Sequestration with Explainable CO$_2$ Leakage Detection in Time-lapse Seismic Monitoring Images”, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
Felix J. Herrmann, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, and Mathias Louboutin, “Derisking geological storage with simulation-based seismic monitoring design and machine learning”, in Carbon, Capture, Utilization, and Storage, 2023.
Tim T.Y. Lin and Felix J. Herrmann, “Designing simultaneous acquisitions with compressive sensing”, in EAGE Annual Conference Proceedings, 2009.
Emmanouil Daskalakis, Rachel Kuske, and Felix J. Herrmann, “Developments in the direction of solving extremly large problems in Geophysics”, in SEG Technical Program Expanded Abstracts, 2017, pp. 4375-4378.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, “DeVito: fast finite difference computation”, in Super Computing (SC16), 2016.

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