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Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis., , , , , , and . CoRR, (2021)Deep learning for biomedical photoacoustic imaging: A review., , , and . CoRR, (2020)Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern., , , , , , , , and . CoRR, (2020)Semantic segmentation of multispectral photoacoustic images using deep learning., , , , , , and . CoRR, (2021)Abstract: Tattoo-Tomographie - Freihand-3D-Photoakustik und multimodale Bildfusion., , , , , , , , and . Bildverarbeitung für die Medizin, page 114. Springer, (2023)Efficient Photoacoustic Image Synthesis with Deep Learning., , , , , , and . Sensors, 23 (16): 7085 (August 2023)Learning Tissue Geometries for Photoacoustic Image Analysis. Heidelberg University, Germany, (2024)base-search.net (ftunivheidelb:oai:archiv.ub.uni-heidelberg.de:34187).Self-distillation for Surgical Action Recognition., , , , , , , , , and 2 other author(s). MICCAI (9), volume 14228 of Lecture Notes in Computer Science, page 637-646. Springer, (2023)CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection., , , , , , , , , and 39 other author(s). CoRR, (2023)Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room., , , , , , , , , and 20 other author(s). CoRR, (2020)