Fraunhofer Institute for Digital Medicine MEVIS
Fraunhofer Institute for Digital Medicine MEVIS

Prof. Dr.-Ing. Andrea Schenk

Research Interests

  • Medical image analysis and visualization for diagnosis, decision support and therapy
  • Development and application of AI algorithms in medicine
  • Hepatic interventions and oncological therapies
  • Transfer of research results into clinical applications
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Recent Publications

2025

Basso L, Ahmadi Z, Oeltze-Jafra S, Petersen E, Shin H, Schenk A (2025) Using Photon-Counting CT Images for Lung Nodule Classification. Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, pp 1102–1103
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Eicke M, Geißler K, Krüger MB, Heepe J, Winther H, Knörr F, Kuhnt AP, Bucher A, Mentzel HJ, Herrmann J, Benoit C, Schenk A, Wößmann W, Renz D, Lassen-Schmidt B (2025) Automatisierte multimodale Organsegmentierung in der pädiatrischen Radiologie: Ein Ansatz zum Domänenshift für CT- und MR-Bildgebung. RöFo – Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. pp 58–59
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Schenk A, Kluge A, Pelzl S, Zachmann G, Malaka R (2025) From imaging to interaction with 3D models: technical aspects. Chirurgie 96(1):3–10
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2024

Kock F, Thielke F, Abolmaali N, Meine H, Schenk A (2024) Suitability of DNN-based vessel segmentation for SIRT planning. Int J CARS 19(2):233–240
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Kraft V, Schumann C, Salzmann D, Weyhe D, Zachmann G, Schenk A (2024) A Clinical User Study Investigating the Benefits of Adaptive Volumetric Illumination Sampling. IEEE TVCG 30(12):7571–7578
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2023

Bilic P, Christ P, Li HB, Vorontsov E, Ben-Cohen A, Kaissis G, Szeskin A, Jacobs C, Mamani GEH, Chartrand G, Lohöfer F, Holch JW, Sommer W, Hofmann F, Hostettler A, Lev-Cohain N, Drozdzal M, Amitai MM, Vivanti R, Sosna J, Ezhov I, Sekuboyina A, Navarro F, Kofler F, Paetzold JC, Shit S, Hu X, Lipková J, Rempfler M, Piraud M, Kirschke J, Wiestler B, Zhang Z, Hülsemeyer C, Beetz M, Ettlinger F, Antonelli M, Bae W, Bellver M, Bi L, Chen H, Chlebus G, Dam EB, Dou Q, Fu C-W, Georgescu B, Giró-i-Nieto X, Gruen F, Han X, Heng P-A, Hesser J, Moltz JH, Igel C, Isensee F, Jäger P, Jia F, Kaluva KC, Khened M, Kim I, Kim J-H, Kim S, Kohl S, Konopczynski T, Kori A, Krishnamurthi G, Li F, Li H, Li J, Li X, Lowengrub J, Ma J, Maier-Hein K, Maninis K-K, Meine H, Merhof D, Pai A, Perslev M, Petersen J, Pont-Tuset J, Qi J, Qi X, Rippel O, Roth K, Sarasua I, Schenk A, Shen Z, Torres J, Wachinger C, Wang C, Weninger L, Wu J, Xu D, Yang X, Yu SC-H, Yuan Y, Yue M, Zhang L, Cardoso J, Bakas S, Braren R, Heinemann V, Pal C, Tang A, Kadoury S, Soler L, van Ginneken B, Greenspan H, Joskowicz L, Menze B (2023) The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Analysis 84:102680
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Gerken A, Thielke F, Meine H, Singer S, Froelich MF, Becker LS, Hinrichs J, Schenk A (2023) Importance of the late hepatobiliary phase of DCE-MRI for automatic liver lesion detection and segmentation. European Congress of Radiology
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Reinschluessel AV, Muender T, Fischer R, Kraft V, Uslar VN, Weyhe D, Schenk A, Zachmann G, Döring T, Malaka R (2023) Versatile Immersive Virtual and Augmented Tangible OR – Using VR, AR and Tangibles to Support Surgical Practice. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Hamburg, Germany, pp 1–5
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Thielke F, Kock F, Hänsch A, Abolmaali N, Schenk A, Meine H (2023) Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation. Proc. SPIE Medical Imaging 2023: Image Processing. Proc.SPIE 12464, 124640B
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2022

Chlebus G, Schenk A, Hahn HK, Van Ginneken B, Meine H (2022) Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow. IEEE Access 10:4728–4738
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