Dr. Stefan Zachow

Articles in Edited Volumes

Sahu, M., Strömsdörfer, R., Mukhopadhyay, A., Zachow, S. 2020. »Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation.« In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, the 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III, edited by Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D., Joskowicz, L. Lecture Notes in Computer Science. Cham: Springer International Publishing, 784-794. https://doi.org/10.1007/978-3-030-59716-0_75

Ambellan, F., Lamecker, H., von Tycowicz, C., Zachow, S. 2019. »Statistical Shape Models: Understanding and Mastering Variation in Anatomy.« Cham: Springer International Publishing, 67-84. https://doi.org/10.1007/978-3-030-19385-0_5

Ambellan, F., Zachow, S., von Tycowicz, C. 2019. »An As-Invariant-As-Possible GL+3 -Based Statistical Shape Model.« In Proc. 7th MICCAI workshop on Mathematical Foundations of Computational Anatomy (MFCA), Volume 11846 of Lecture Notes in Computer Science, Cham: Springer International Publishing, 219-228. https://doi.org/10.1007/978-3-030-33226-6_23

Articles

Hembus, J., Ambellan, F., Zachow, S., Bader, R. 2021. »Establishment of a Rolling-Sliding Test Bench to Analyze Abrasive Wear Propagation of Different Bearing Materials for Knee Implants.« Applied Sciences, 11, (4): 1886. https://doi.org/10.3390/app11041886

Li, J., Pimentel, P., Szengel, A., Ehlke, M., Lamecker, H., Zachow, S., Estacio, L., Doenitz, C., Ramm, H., Shi, H., Chen, X., Matzkin, F., Newcombe, V., Ferrante, E., Jin, Y., Ellis, D. G., Aizenberg, M. R., Kodym, O., Spanel, M., Herout, A., Mainprize, J. G., Fishman, Z., Hardisty, M. R., Bayat, A., Shit, S., Wang, B., Liu, Z., Eder, M., Pepe, A., Gsaxner, C., Alves, V., Zefferer, U., Von Campe, G., Pistracher, K., Schafer, U., Schmalstieg, D., Menze, B. H., Glocker, B., Egger, J. 2021. »AutoImplant 2020 -First MICCAI Challenge on Automatic Cranial Implant Design.« IEEE Transactions on Medical Imaging, 1-1. https://doi.org/10.1109/TMI.2021.3077047

Sahu, M., Mukhopadhyay, A., Zachow, S. 2021. »Simulation-to-real domain adaptation with teacher–student learning for endoscopic instrument segmentation.« International Journal of Computer Assisted Radiology and Surgery, 16, (5): 849-859. https://doi.org/10.1007/s11548-021-02383-4

Tack, A., Preim, B., Zachow, S. 2021. »Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a “YOLOv4 And Resnet Landmark regression Algorithm” (YARLA): Data from the Osteoarthritis Initiative.« Computer Methods and Programs in Biomedicine, 205, 106080. https://doi.org/10.1016/j.cmpb.2021.106080

Brüning, J., Hildebrandt, T., Heppt, W., Schmidt, N., Lamecker, H., Szengel, A., Amiridze, N., Ramm, H., Bindernagel, M., Zachow, S., Goubergrits, L. 2020. »Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity.« Scientific Reports, 10, (1): 3755. https://doi.org/10.1038/s41598-020-60755-3

Brüning, J., Hildebrandt, T., Heppt, W., Schmidt, N., Lamecker, H., Szengel, A., Amiridze, N., Ramm, H., Bindernagel, M., Zachow, S., Goubergrits, L. 2020. »Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity.« Scientific Reports, 10, (1): https://doi.org/10.1038/s41598-020-60755-3

Sahu, M., Szengel, A., Mukhopadhyay, A., Zachow, S. 2020. »Surgical phase recognition by learning phase transitions.« Current Directions in Biomedical Engineering, 6, (1): https://doi.org/10.1515/cdbme-2020-0037

Sekuboyina, A., Bayat, A., Husseini, M. E., Löffler, M., Li, H., Tetteh, G., Kukačka, J., Payer, C., Štern, D., Urschler, M., Chen, M., Cheng, D., Lessmann, N., Hu, Y., Wang, T., Yang, D., Xu, D., Ambellan, F., Amiranashvili, T., Ehlke, M., Lamecker, H., Lehnert, S., Lirio, M., de Olaguer, N. P., Ramm, H., Sahu, M., Tack, A., Zachow, S., Jiang, T., Ma, X., Angerman, C., Wang, X., Wei, Q., Brown, K., Wolf, M., Kirszenberg, A., Puybareau, É., Valentinitsch, A., Rempfler, M., Menze, B. H., Kirschke, J. S. 2020. »VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.« arXiv, http://arxiv.org/abs/2001.09193

Al Hajj, H., Lamard, M., Conze, P., Roychowdhury, S., Hu, X., Maršalkaitė, G., Zisimopoulos, O., Dedmari, M. A., Zhao, F., Prellberg, J., Sahu, M., Galdran, A., Araújo, T., Vo, D. M., Panda, C., Dahiya, N., Kondo, S., Bian, Z., Vahdat, A., Bialopetravičius, J., Flouty, E., Qiu, C., Dill, S., Mukhopadhyay, A., Costa, P., Aresta, G., Ramamurthy, S., Lee, S., Campilho, A., Zachow, S., Xia, S., Conjeti, S., Stoyanov, D., Armaitis, J., Heng, P., Macready, W. G., Cochener, B., Quellec, G. 2019. »CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.« Medical Image Analysis, 52, (2): 24-41. https://doi.org/10.1016/j.media.2018.11.008

Ambellan, F., Tack, A., Ehlke, M., Zachow, S. 2019. »Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative.« Medical Image Analysis, 52, (2): 109-118. https://doi.org/10.1016/j.media.2018.11.009

Brüning, J., Lamecker, H., Zachow, S., Heppt, W., Schmidt, N., Goubergrits, L., Hildebrandt, T. 2019. »Digital Analysis of Nasal Airflow Facilitating Decision Support in Rhinosurgery.« Facial Plastic Surgery, 35, (01): 003-008. https://doi.org/10.1055/s-0039-1677720

Hildebrandt, T., Schmidt, N., Lamecker, H., Heppt, W., Zachow, S., Goubergrits, L., Brüning, J. 2019. »The Healthy Nasal Cavity—Characteristics of Morphology and Related Airflow Based on a Statistical Shape Model Viewed from a Surgeon's Perspective.« Facial Plastic Surgery, 35, (01): 9-13. https://doi.org/10.1055/s-0039-1677721

Krämer, M., Maggioni, M., Brisson, N., Zachow, S., Teichgräber, U., Duda, G., Reichenbach, J. 2019. »T1 and T2* mapping of the human quadriceps and patellar tendons using ultra-short echo-time (UTE) imaging and bivariate relaxation parameter-based volumetric visualization.« Magnetic Resonance Imaging, 63, (11): 29-36. https://doi.org/10.1016/j.mri.2019.07.015

Oeltze‐Jafra, S., Meuschke, M., Neugebauer, M., Saalfeld, S., Lawonn, K., Janiga, G., Hege, H., Zachow, S., Preim, B. 2018. »Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges.« Computer Graphics Forum, 38, (1): 87-125. https://doi.org/10.1111/cgf.13394

Conference Proceedings

Ambellan, F., Zachow, S., von Tycowicz, C. 2019. »A Surface-Theoretic Approach for Statistical Shape Modeling.« Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), Part IV. Cham: Springer International Publishing, 21-29. https://doi.org/10.1007/978-3-030-32251-9_3

Joachimsky, R., Ma, L., Icking, C., Zachow, S. 2019. »A Collision-Aware Articulated Statistical Shape Model of the Human Spine.« Proceedings of the 18th annual conference on Computer- and Robot-assisted Surgery (CURAC). 58-64.

Neumann, M., Hellwich, O., Zachow, S. 2019. »Localization and Classification of Teeth in Cone Beam CT using Convolutional Neural Networks.« Presented at the 18th annual conference on Computer- and Robot-assisted Surgery (CURAC). 182-188. Highlighted by Best paper award.

Tack, A., Zachow, S. 2019. »Accurate Automated Volumetry of Cartilage of the Knee using Convolutional Neural Networks: Data from the Osteoarthritis Initiative.« IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). 40-43.

Data Publications

Tack, A, Preim, B, Zachow, S 2021. »Data for >Fully automated Assessment of Knee Alignment from Full-Leg X-Rays employing a “YOLOv4 And Resnet Landmark regression Algorithm” (YARLA): Data from the Osteoarthritis Initiative<.« Computer Methods and Programs in Biomedicine, 205 (106080). https://ars.els-cdn.com/content/image/1-s2.0-S0169260721001553-mmc1.pdf

Bruning, J., Hildebrandt, T., Heppt, W., Schmidt, N., Lamecker, H., Szengel, A., Amiridze, N., Ramm, H., Bindernagel, M., Zachow, S., Goubergrits, L. 2020. »Data for »Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity«.« v4. https://doi.org/https://doi.org/10.6084/m9.figshare.9585410.v4

Ambellan, F., Tack, A., Ehlke, M.;, Zachow, S. 2019. »Data for >Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative<.« OAI-ZIB Dataset. Medical Image Analysis, 52 (2). https://doi.org/10.12752/4.ATEZ.1.0

(Co)Supervisions of Qualification Theses

Zachow, S. 2019. Second supervisor of Mario Neumann Localization and Classification of Teeth in Cone Beam CT using Convolutional Neural Networks. Master thesis, TU Berlin

Zachow, S. 2018. Second supervisor of Mona Prendke Comparison of 2D and 3D CNNs for Classification of Knee MRI. Bachelor thesis, FU Berlin https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/7243

Prizes & Competition Awards

Pimentel, P., Szengel, A., Ehlke, M., Lamecker, H., Zachow, S., Estacio, L., Doenitz, C., Ramm, H. 2021. AutoImplant 2020 - First MICCAI Challenge on Automatic Cranial Implant Design. Best Paper Award. Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks. MICCAI. https://autoimplant.grand-challenge.org/Awards/

Hajj, H.A., et int., Zachow, S., et al. 2020. Fraunhofer Gesellschaft zur Förderung angewandter Forschung e.V. Best paper Award. CATARACTS: Challenge on Automatic Tool Annotation for cataRACT Surgery.

Tack, A., Ziegler, K., Armbrecht, G., Hermann, K. G., Siegert, M., Wachsmann, A., Zachow, S. 2020. Innovation Excellence Award 2020. Deep learning for AI-based diagnosis and treatment planning in medicine. HPC User Forum. https://www.zib.de/node/4469