Noah Maul
Noah Maul, M. Sc.
Academic CV
- Since 12/2020:
Ph.D. Student at Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg. - 10/2014 – 08/2020:
B.Sc. and M.Sc. Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg.
Projects
No projects found.
Publications
2025
Conference Contributions
Virtual DSA for Learning Contrast Agent Dynamics in Projection Space
4th International Workshop on Imaging and Treatment Challenges, SWITCH 2024, and 6th International Challenge on Ischemic Stroke Lesion Segmentation Challenge, ISLES 2024, Held in Conjunction with Medical Image Computing and Computer Assisted Intervention, MICCAI 2024 (Marrakesh, MAR, October 6, 2024 - October 10, 2024)
In: Ruisheng Su, Danny Ruijters, Ezequiel de la Rosa, Leonhard Rist, Ewout Heylen, Frank te Nijenhuis, Theo van Walsum, Markus D. Schirmer, Richard McKinley, Roland Wiest, Susanne Wegener (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025
DOI: 10.1007/978-3-031-81101-2_6
BibTeX: Download
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2024
Journal Articles
Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction
In: Computers in Biology and Medicine 182 (2024), Article No.: 109178
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2024.109178
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A gradient-based approach to fast and accurate head motion compensation in cone-beam CT
In: IEEE Transactions on Medical Imaging (2024), p. 1-1
ISSN: 0278-0062
DOI: 10.1109/TMI.2024.3474250
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Conference Contributions
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Cham: 2024
DOI: 10.1007/978-3-031-72104-5_25
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Transforming Cardiovascular Health: a Transformer-Based Approach to Continuous, Non-Invasive Blood Pressure Estimation via Radar Sensing
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (Seoul, April 14, 2024 - April 19, 2024)
In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New York City: 2024
DOI: 10.1109/ICASSP48485.2024.10446988
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On the influence of smoothness constraints in computed tomography motion compensation
8th International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting) (Bamberg, August 5, 2024 - August 9, 2024)
URL: https://www.ct-meeting.org/?p=program
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2023
Journal Articles
Gradient-based geometry learning for fan-beam CT reconstruction
In: Physics in Medicine and Biology 68 (2023), Article No.: 205004
ISSN: 0031-9155
DOI: 10.1088/1361-6560/acf90e
URL: https://iopscience.iop.org/article/10.1088/1361-6560/acf90e
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Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar—A Feasibility Study
In: Sensors 23 (2023), p. 4111
ISSN: 1424-8220
DOI: 10.3390/s23084111
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Conference Contributions
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography
17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) (Stony Brook University, NY, USA, July 16, 2023 - July 21, 2023)
DOI: 10.48550/arXiv.2302.06436
URL: https://arxiv.org/pdf/2302.06436.pdf
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Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation
26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023 (Vancouver, BC, CAN, October 8, 2023 - October 12, 2023)
In: Hayit Greenspan, Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
DOI: 10.1007/978-3-031-43898-1_6
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Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising
28th International Conference on Information Processing in Medical Imaging, IPMI 2023 (San Carlos de Bariloche, ARG, June 18, 2023 - June 23, 2023)
In: Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
DOI: 10.1007/978-3-031-34048-2_59
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On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230511
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Optimizing CT Scan Geometries With and Without Gradients
17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) (Stony Brook University, New York, July 16, 2023 - July 21, 2023)
Open Access: https://arxiv.org/abs/2302.06251
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Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets
International Symposium on Biomedical Imaging (ISBI)
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Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model
28th International Conference on Information Processing in Medical Imaging, IPMI 2023 (San Carlos de Bariloche, June 18, 2023 - June 23, 2023)
In: Alejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
DOI: 10.1007/978-3-031-34048-2_15
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2022
Journal Articles
Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
In: Scientific Reports 12 (2022), Article No.: 17540
ISSN: 2045-2322
DOI: 10.1038/s41598-022-22530-4
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Learning-based occupational x-ray scatter estimation
In: Physics in Medicine and Biology 67 (2022)
ISSN: 0031-9155
DOI: 10.1088/1361-6560/ac58dc
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Lectures
No matching records found.
Student thesis
Type | Title | Status |
---|---|---|
MA thesis | Generalizable X-Ray View Synthesis | finished |
MA thesis | CFD Simulation for Blood Flow in Embolization Procedures | running |
MA thesis | Generalizable X-Ray View Synthesis | finished |
MA thesis | Cross-validation of Network Architectures and Training Data for Learning-based X-ray Scatter Estimation | finished |
MA thesis | Learning based methods for 3D hemodynamics estimation in the cerebral vasculature | finished |
MA thesis | Modeling of Randomized Cerebrovascular Trees for Artifical Data Generation using Blender | finished |