Dr. rer. nat. Maik Stille

• [ 2023 ]
• [ 2022 ]
• [ 2021 ]
• [ 2020 ]
• [ 2019 ]
• [ 2018 ]
• [ 2017 ]
• [ 2016 ]
• [ 2015 ]
• [ 2013 ]
• [ 2012 ]
• [ 2010 ]
• [ 2009 ]

• Hellwege, L., Schaar, M., Buzug, T. and Stille, M.: Enhancing virtual monoenergetic images for non-congruent dual-energy CT projection data, Current Directions in Biomedical Engineering, 9, 674–677, 2023, DOI: 10.1515/cdbme-2023-1169.
  • [ BibTeX ]
  @article{article, author = {Hellwege, Laura and Schaar, Moritz and Buzug, Thorsten and Stille, Maik}, journal = {Current Directions in Biomedical Engineering}, keywords = {buzugthorsten}, month = {09}, pages = {674-677}, title = {Enhancing virtual monoenergetic images for non-congruent dual-energy CT projection data}, volume = 9, year = 2023 }
• Hellwege, L., Schaar, M., Buzug, T. M. and Stille, M.: Advanced Empirical Dual-Energy Calibration, 2023.
  • [ BibTeX ]
  @inproceedings{hellwege2023advanced, author = {Hellwege, Laura and Schaar, Moritz and Buzug, Thorsten M. and Stille, Maik}, booktitle = {Proceedings of IEEE MIC 2023}, keywords = {buzugthorsten}, publisher = {IEEE Xplore}, title = {Advanced Empirical Dual-Energy Calibration}, year = 2023 }
• Engster, J. C., Blum, N., Reinberger, T., Stagge, P., Buzug, T., Erdmann, J., Aherrahrou, Z. and Stille, M.: Unsupervised Plaque Segmentation on Whole Slide Images, 2023.
  • [ BibTeX ]
  • [ URL ]
  @inproceedings{engster2023unsupervised, author = {Engster, Johann Christopher and Blum, Nele and Reinberger, Tobias and Stagge, Pascal and Buzug, Thorsten and Erdmann, Jeanette and Aherrahrou, Zouhair and Stille, Maik}, booktitle = {Medical Imaging with Deep Learning, short paper track}, keywords = {engsterjohann}, title = {Unsupervised Plaque Segmentation on Whole Slide Images}, year = 2023 }

• Blum, N., Buzug, T. M. and Stille, M.: Data-driven Metal Artifact Correction in Computed Tomography using conditional Generative Adversarial Networks, 214–217, 2022.
  • [ BibTeX ]
  @inproceedings{blum2022datadriven, author = {Blum, Nele and Buzug, Thorsten M. and Stille, Maik}, booktitle = {The 7th International Conference on Image Formation in X-Ray Computed Tomography}, keywords = {buzugthorsten}, pages = {214-217}, title = {Data-driven Metal Artifact Correction in Computed Tomography using conditional Generative Adversarial Networks}, year = 2022 }

• Hellwege, L., Blum, N., Buzug, T. M. and Stille, M.: Partial Convolution Network for Metal Artifact Reduction in CT Preprocessing: Preliminary Results, 2021.
  • [ BibTeX ]
  • [ URL ]
  @inproceedings{Hellwege2021PartialCN, author = {Hellwege, Laura and Blum, Nele and Buzug, Thorsten M. and Stille, Maik}, booktitle = {Medical Imaging and Deep Learning 2021}, keywords = {buzugthorsten}, month = {07}, title = {Partial Convolution Network for Metal Artifact Reduction in CT Preprocessing: Preliminary Results}, year = 2021 }
• Blum, N., Buzug, T. and Stille, M.: Projection Domain Metal Artifact Reduction in Computed Tomography using Conditional Generative Adversarial Networks,, 2021.
  • [ BibTeX ]
  @inproceedings{cGAN, author = {Blum, Nele and Buzug, Thorsten and Stille, Maik}, booktitle = {Medical Imaging with Deep Learning (MIDL)}, keywords = {StilleMaik}, title = {Projection Domain Metal Artifact Reduction in Computed Tomography using Conditional Generative Adversarial Networks,}, year = 2021 }
• Thrun, S., Pedrosa, D., Schulze, M., Buzug, T. M. and Stille, M.: Creation of a 3D printed human head phantom, Transactions on Additive Manufacturing Meets Medicine, 3(1), 608, 2021, DOI: 10.18416/AMMM.2021.2109608.
  • [ BibTeX ]
  • [ URL ]
  @article{thrun2021creation, author = {Thrun, Solveig and Pedrosa, David and Schulze, Maximilian and Buzug, Thorsten M. and Stille, Maik}, journal = {Transactions on Additive Manufacturing Meets Medicine}, keywords = {buzugthorsten}, number = 1, pages = 608, publisher = {Transactions on Additive Manufacturing Meets Medicine}, title = {Creation of a 3D printed human head phantom}, volume = 3, year = 2021 }

• Blum, N., Stille, M. and Buzug, T.: Implant dependent local weighting for iterative CT-image reconstruction, 246, 2020.
  • [ BibTeX ]
  @inproceedings{noauthororeditor2020implant, author = {Blum, Nele and Stille, Maik and Buzug, Thorsten}, booktitle = {BMT 2020 (Biomedical Engineering / Biomedizinische Technik)}, keywords = {StilleMaik}, pages = 246, title = {Implant dependent local weighting for iterative CT-image reconstruction}, volume = 65, year = 2020 }
• Kohlhase, N., Stille, M., Bolke, A., Zvolský, M. and Rafecas, M.: Compton Camera Image Reconstruction with A-Priori Information from a Beam Tagging Hodoscope, 1–4, 2020, DOI: 10.1109/NSS/MIC42677.2020.9507820.
  • [ BibTeX ]
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  @inproceedings{9507820, abstract = {Compton cameras (CC) have been proposed for range monitoring in proton therapy. The goal is to detected the prompt-gamma (PG) radiation which emerges from the patient, and estimate the underlying activation distribution by using tomographic reconstruction algorithms. The reconstructed CC images are often affected by high levels of statistical noise and other artefacts. With the aim of improving the reconstructed images, here we study various approaches able to exploit a-priori information from a beam-tagging hodoscope. The latter provides an estimation about the beam spread and its direction, so that this information can be used before or during the reconstruction in different ways, e.g. to restrict the volume-of-response assigned to each event, or to design a novel penalty function for regularized image reconstruction. We have implemented several approaches using Monte Carlo simulated data. In particular, our penalized reconstruction led to a significant improvement of the image quality. The estimated distal edge was well resolved for all tested scenarios.}, author = {Kohlhase, Nadja and Stille, Maik and Bolke, Andreas and Zvolský, Milan and Rafecas, Magdalena}, booktitle = {2020 {IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})}, keywords = {StilleMaik}, month = 10, pages = {1-4}, title = {Compton Camera Image Reconstruction with A-Priori Information from a Beam Tagging Hodoscope}, year = 2020 }
• Blum, N., Stille, M., Hofmann, C. and Buzug, T. M.: Metal Artifact Reduction for 3D Cone-Beam CT by Non-Local Prior Image Integration, 396– 400, 2020.
  • [ BibTeX ]
  @inproceedings{noauthororeditor2020metal, author = {Blum, Nele and Stille, Maik and Hofmann, Christian and Buzug, Thorstetn M.}, booktitle = {CT Meeting 2020 (The 6th International Conference on Image Formation in X-Ray Computed Tomography)}, keywords = {StilleMaik}, pages = {396– 400}, title = {Metal Artifact Reduction for 3D Cone-Beam CT by Non-Local Prior Image Integration}, year = 2020 }

• Wattenberg, M., Klein, P., Stille, M. and Buzug, T. M.: Measuring the distance between sphere centers in industrial computed tomography from sparse data, 2019.
  • [ BibTeX ]
  @conference{wattenberg2019measuring, author = {Wattenberg, Maximilian and Klein, Philipp and Stille, Maik and Buzug, Thorsten M.}, booktitle = {Book of Abstracts International Conference on Tomography of Materials \& Structures}, keywords = {buzugthorsten}, title = {Measuring the distance between sphere centers in industrial computed tomography from sparse data}, year = 2019 }
• Wattenberg, M., Klein, P., Stille, M. and Buzug, T. M.: 3D tomogram-less reconstruction for industrial computed tomography using a clustering approach, 2019.
  • [ BibTeX ]
  @conference{wattenberg19tomogram, author = {Wattenberg, Maximilian and Klein, Phlipp and Stille, Maik and Buzug, Thorsten M.}, booktitle = {Book of Abstracts Digital Industrial Radiology and Computed Tomography}, keywords = {buzugthorsten}, title = {3{D} tomogram-less reconstruction for industrial computed tomography using a clustering approach}, year = 2019 }
• Wattenberg, M., Stille, M., Klein, P. and Buzug, T. M.: 2D Contour Reconstruction for Industrial Computed Tomography using Crease Cluster, e-Journal of Nondestructive Testing, 2019.
  • [ BibTeX ]
  @article{wattenberg2019contour, author = {Wattenberg, Maximilian and Stille, Maik and Klein, Philipp and Buzug, Thorsten M.}, editor = {Diederichs, Rolf}, journal = {e-Journal of Nondestructive Testing}, keywords = {imt}, title = {2{D} Contour Reconstruction for Industrial Computed Tomography using Crease Cluster}, year = 2019 }
• von Gladiss, A., Beuke, J., Weber, M., Malhotra, A., Behrends, A., Cordes, A., Stille, M., Behr, V. C., Vogel, P., Gräfe, K., Friedrich, T., Lüdtke-Buzug, K., Neumann, A., Ahlborg, M. and Buzug, T. M.: Dynamic 2D Imaging with an MPI Scanner Featuring a Mechanically Rotated FFL, 5, 2019.
  • [ BibTeX ]
  @inproceedings{vonGladiss2019dynamic, author = {von Gladiss, Anselm and Beuke, Jonas and Weber, Matthias and Malhotra, Ankit and Behrends, André and Cordes, Aileen and Stille, Maik and Behr, Volker C. and Vogel, Patrick and Gräfe, Ksenija and Friedrich, Thomas and Lüdtke-Buzug, Kerstin and Neumann, Alexander and Ahlborg, Mandy and Buzug, Thorsten M.}, booktitle = {9th International Workshop on Magnetic Particle Imaging}, keywords = {StilleMaik}, pages = 5, title = {Dynamic 2D Imaging with an MPI Scanner Featuring a Mechanically Rotated FFL}, year = 2019 }

• Heinrich, M. P., Stille, M. and Buzug, T. M.: Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising, Current Directions in Biomedical Engineering, 4(1), 297–300, 2018, DOI: 10.1515/cdbme-2018-0072.
  • [ BibTeX ]
  • [ URL ]
  @article{Heinrich_2018, author = {Heinrich, Mattias P. and Stille, Maik and Buzug, Thorsten M.}, journal = {Current Directions in Biomedical Engineering}, keywords = {StilleMaik}, month = {09}, number = 1, pages = {297–300}, publisher = {Walter de Gruyter {GmbH}}, title = {Residual U-Net Convolutional Neural Network Architecture for Low-Dose {CT} Denoising}, volume = 4, year = 2018 }
• Ziemann, C., Stille, M., Cremers, F., Buzug, T. M. and Rades, D.: Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction, Journal of Applied Clinical Medical Physics, 19(3), 227–233, 2018, DOI: 10.1002/acm2.12325.
  • [ BibTeX ]
  • [ URL ]
  @article{Ziemann_2018, author = {Ziemann, Christian and Stille, Maik and Cremers, Florian and Buzug, Thorsten M. and Rades, Dirk}, journal = {Journal of Applied Clinical Medical Physics}, keywords = {buzugthorsten}, month = {04}, number = 3, pages = {227–233}, publisher = {Wiley}, title = {Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction}, volume = 19, year = 2018 }

• Ziemann, C., Stille, M., Cremers, F., Rades, D. and Buzug, T. M.: The effects of metal artifact reduction on the retrieval of attenuation values, Journal of applied clinical medical physics, 18(1), 243–250, 2017, DOI: 10.1002/acm2.12002.
  • [ BibTeX ]
  @article{ziemann2017effects, author = {Ziemann, Christian and Stille, Maik and Cremers, Florian and Rades, Dirk and Buzug, Thorsten M}, journal = {Journal of applied clinical medical physics}, keywords = {StilleMaik}, number = 1, pages = {243–250}, title = {The effects of metal artifact reduction on the retrieval of attenuation values}, volume = 18, year = 2017 }

• Stille, M. and Buzug, T. M.: Augmented likelihood image reconstruction with non-local prior image regularization, 145–8, 2016.
  • [ BibTeX ]
  @conference{stille:16:ali, author = {Stille, M. and Buzug, T. M.}, booktitle = {Proc. 4th Intl. Mtg. on image formation in X-ray CT}, keywords = {StilleMaik}, pages = {{145–8}}, title = {Augmented likelihood image reconstruction with non-local prior image regularization}, year = 2016 }
• Stille, M., Kleine, M., Hagele, J., Barkhausen, J. and Buzug, T.: Augmented Likelihood Image Reconstruction, IEEE Transactions on Medical Imaging, 35(1), 158–173, 2016, DOI: 10.1109/TMI.2015.2459764.
  • [ BibTeX ]
  • [ URL ]
  @article{7164320, abstract = {The presence of high-density objects remains an open problem in medical CT imaging. Data of projections passing through objects of high density, such as metal implants, are dominated by noise and are highly affected by beam hardening and scatter. Reconstructed images become less diagnostically conclusive because of pronounced artifacts that manifest as dark and bright streaks. A new reconstruction algorithm is proposed with the aim to reduce these artifacts by incorporating information about shape and known attenuation coefficients of a metal implant. Image reconstruction is considered as a variational optimization problem. The afore-mentioned prior knowledge is introduced in terms of equality constraints. An augmented Lagrangian approach is adapted in order to minimize the associated log-likelihood function for transmission CT. During iterations, temporally appearing artifacts are reduced with a bilateral filter and new projection values are calculated, which are used later on for the reconstruction. A detailed evaluation in cooperation with radiologists is performed on software and hardware phantoms, as well as on clinically relevant patient data of subjects with various metal implants. Results show that the proposed reconstruction algorithm is able to outperform contemporary metal artifact reduction methods such as normalized metal artifact reduction.}, author = {Stille, M. and Kleine, M. and Hagele, J. and Barkhausen, J. and Buzug, T.M.}, journal = {IEEE Transactions on Medical Imaging}, keywords = {StilleMaik}, month = {01}, number = 1, pages = {158-173}, title = {Augmented Likelihood Image Reconstruction}, volume = 35, year = 2016 }

• Stille, M. and Buzug, T.: Metal artifact reduction by projection replacements and non-local prior image integration, Current Directions in Biomedical Engineering, 1(1), 100–103, 2015, DOI: 10.1515/cdbme-2015-0026.
  • [ BibTeX ]
  • [ URL ]
  @article{Stille2015b, author = {Stille, M. and Buzug, T.M.}, journal = {Current Directions in Biomedical Engineering}, keywords = {StilleMaik}, number = 1, pages = {100-103}, publisher = {De Gruyter}, title = {Metal artifact reduction by projection replacements and non-local prior image integration}, volume = 1, year = 2015 }

• Stille, M., Kratz, B., Müller, J., Maaß, N., Schasiepen, I., Elter, M., Weyers, I. and Buzug, T. M.: Influence of metal segmentation on the quality of metal artifact reduction methods, 86683C, 2013, DOI: 10.1117/12.2006810.
  • [ BibTeX ]
  • [ URL ]
  @inproceedings{Stille2013a, author = {Stille, M. and Kratz, B. and Müller, J. and Maaß, N. and Schasiepen, I. and Elter, M. and Weyers, I. and Buzug, T. M.}, booktitle = {SPIE Medical Imaging}, keywords = {StilleMaik}, organization = {International Society for Optics and Photonics}, pages = {86683C}, title = {Influence of metal segmentation on the quality of metal artifact reduction methods}, volume = 8668, year = 2013 }
• Stille, M., Smith, E. J., Crum, W. R. and Modo, M.: 3D reconstruction of 2D fluorescence histology images and registration with in vivo MR} images: Application in a rodent stroke model, Journal of Neuroscience Methods, 219(1), 27–40, 2013, DOI: 10.1016/j.jneumeth.2013.06.003.
  • [ BibTeX ]
  • [ URL ]
  @article{Stille2013b, abstract = {Abstract To validate and add value to non-invasive imaging techniques, the corresponding histology is required to establish biological correlates. We present an efficient, semi-automated image-processing pipeline that uses immunohistochemically stained sections to reconstruct a 3D brain volume from 2D histological images before registering these with the corresponding 3D in vivo magnetic resonance images (MRI). A multistep registration procedure that first aligns the “global” volume by using the centre of mass and then applies a rigid and affine alignment based on signal intensities is described. This technique was applied to a training set of three rat brain volumes before being validated on three normal brains. Application of the approach to register “abnormal” images from a rat model of stroke allowed the neurobiological correlates of the variations in the hyper-intense \{MRI\} signal intensity caused by infarction to be investigated. For evaluation, the corresponding anatomical landmarks in \{MR\} and histology were defined to measure the registration accuracy. A registration error of 0.249 mm (approximately one in-plane voxel dimension) was evident in healthy rat brains and of 0.323 mm in a rodent model of stroke. The proposed reconstruction and registration pipeline allowed for the precise analysis of non-invasive \{MRI\} and corresponding microstructural histological features in 3D. We were thus able to interrogate histology to deduce the cause of \{MRI\} signal variations in the lesion cavity and the peri-infarct area.}, author = {Stille, Maik and Smith, Edward J. and Crum, William R. and Modo, Michel}, journal = {Journal of Neuroscience Methods}, keywords = {StilleMaik}, number = 1, pages = {27-40}, title = {3D reconstruction of 2D fluorescence histology images and registration with in vivo \{MR\} images: Application in a rodent stroke model}, volume = 219, year = 2013 }

• Mueller, J., Kaiser, F., Levakhina, Y., Stille, M., Weyers, I. and Buzug, T. M.: An open database of metal artifacts cases for clinical CT imaging, 210–213, 2012.
  • [ BibTeX ]
  @inproceedings{Mueller2012, author = {Mueller, J. and Kaiser, F. and Levakhina, Y.M. and Stille, M. and Weyers, I. and Buzug, T. M.}, booktitle = {Image Formation in X-Ray Computed Tomography}, keywords = {StilleMaik}, pages = {210-213}, title = {An open database of metal artifacts cases for clinical CT imaging}, year = 2012 }

• Stille, M. and Finke, M.: Combination of a Robotic Surgical Microscope and an Augmented Reality for Intraoperative Navigation, 2010.
  • [ BibTeX ]
  @inproceedings{Stille2010a, author = {Stille, Maik and Finke, Markus}, booktitle = {Deutsche Gesellschaft für Biomedizinische Technik Jahrestagung}, keywords = {StilleMaik}, title = {Combination of a Robotic Surgical Microscope and an Augmented Reality for Intraoperative Navigation}, year = 2010 }

• Finke, M., Meyer, T., Stille, M. and Schweikard, A.: Automatic Positioning of a Surgical Microscope, 998–1009, 2009.
  • [ BibTeX ]
  @inproceedings{Finke2009a, author = {Finke, Markus and Meyer, Tobias and Stille, Maik and Schweikard, Achim}, booktitle = {Jahrestagung der Gesellschaft für Informatik}, keywords = {StilleMaik}, pages = {998-1009}, publisher = {Bonner K{\"{o}}llen}, series = {Lecture Notes in Informatics}, title = {Automatic Positioning of a Surgical Microscope}, volume = 154, year = 2009 }