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

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
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

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
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

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
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
Kock F, Thielke F, Abolmaali N, Meine H, Schenk A (2023) Suitability of DNN-based vessel segmentation for SIRT planning. Int J CARS
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
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

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