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Disambiguation of "Laves, Max-Heinrich"

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Soft tissue motion tracking with application to tablet-based incision planning in laser surgery.

, , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (12): 2325-2337 (2016)

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Wolfgang Laves

Olaf Laves

Ernst Laves

Detlef Laves

Hans-Jürgen Laves

 

Other publications of authors with the same name

Semantic denoising autoencoders for retinal optical coherence tomography., , , and . CoRR, (2019)A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation., , , and . CoRR, (2018)Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases., , and . CoRR, (2019)Calibration of Model Uncertainty for Dropout Variational Inference., , , and . CoRR, (2020)Feature tracking for automated volume of interest stabilization on 4D-OCT images., , , , , and . Medical Imaging: Image-Guided Procedures, volume 10135 of SPIE Proceedings, page 101350W. SPIE, (2017)Soft tissue motion tracking with application to tablet-based incision planning in laser surgery., , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (12): 2325-2337 (2016)Posterior Temperature Optimization in Variational Inference., , and . CoRR, (2021)Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses., , , , , , , , , and 5 other author(s). CoRR, (2022)Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography., , , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109510R. SPIE, (2019)