| Well-calibrated regression uncertainty in medical imaging with deep learning MH Laves, S Ihler, JF Fast, LA Kahrs, T Ortmaier Medical imaging with deep learning, 393-412, 2020 | 94 | 2020 |
| Well-calibrated model uncertainty with temperature scaling for dropout variational inference MH Laves, S Ihler, KP Kortmann, T Ortmaier arXiv preprint arXiv:1909.13550, 2019 | 65 | 2019 |
| Recalibration of aleatoric and epistemic regression uncertainty in medical imaging MH Laves, S Ihler, JF Fast, LA Kahrs, T Ortmaier arXiv preprint arXiv:2104.12376, 2021 | 36 | 2021 |
| Calibration of model uncertainty for dropout variational inference MH Laves, S Ihler, KP Kortmann, T Ortmaier arXiv preprint arXiv:2006.11584, 2020 | 23 | 2020 |
| Quantifying the uncertainty of deep learning-based computer-aided diagnosis for patient safety MH Laves, S Ihler, T Ortmaier, LA Kahrs Current Directions in Biomedical Engineering 5 (1), 223-226, 2019 | 19 | 2019 |
| Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say" I don't know" for Ambiguous Cases MH Laves, S Ihler, T Ortmaier arXiv preprint arXiv:1908.00792, 2019 | 16 | 2019 |
| Self-supervised domain adaptation for patient-specific, real-time tissue tracking S Ihler, F Kuhnke, MH Laves, T Ortmaier Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 15 | 2020 |
| Deep-learning-based instrument detection for intra-operative robotic assistance J Badilla-Solórzano, S Spindeldreier, S Ihler, NC Gellrich, S Spalthoff International journal of computer assisted radiology and surgery 17 (9 …, 2022 | 13 | 2022 |
| Deformable medical image registration using a randomly-initialized cnn as regularization prior MH Laves, S Ihler, T Ortmaier arXiv preprint arXiv:1908.00788, 2019 | 13 | 2019 |
| Deep-learning-based 2.5 D flow field estimation for maximum intensity projections of 4D optical coherence tomography MH Laves, S Ihler, LA Kahrs, T Ortmaier Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019 | 10 | 2019 |
| Semantic denoising autoencoders for retinal optical coherence tomography MH Laves, S Ihler, LA Kahrs, T Ortmaier European Conference on Biomedical Optics, 11078_43, 2019 | 7 | 2019 |
| Retinal OCT disease classification with variational autoencoder regularization MH Laves, S Ihler, LA Kahrs, T Ortmaier arXiv preprint arXiv:1904.00790, 2019 | 5 | 2019 |
| Patient-specific domain adaptation for fast optical flow based on teacher-student knowledge transfer S Ihler, MH Laves, T Ortmaier arXiv preprint arXiv:2007.04928, 2020 | 4 | 2020 |
| A six degree of freedom extrusion bioprinter L Budde, S Ihler, S Spindeldreier, T Lücking, T Meyer, E Bodenschatz, ... Current Directions in Biomedical Engineering 8 (2), 137-140, 2022 | 3 | 2022 |
| Improving instrument detection for a robotic scrub nurse using multi-view voting J Badilla-Solórzano, S Ihler, NC Gellrich, S Spalthoff International Journal of Computer Assisted Radiology and Surgery 18 (11 …, 2023 | 2 | 2023 |
| A comprehensive study of modern architectures and regularization approaches on chexpert5000 S Ihler, F Kuhnke, S Spindeldreier International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 2 | 2022 |
| Relative pose consistency for semi-supervised head pose estimation F Kuhnke, S Ihler, J Ostermann 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 2 | 2021 |
| Design of a novel MEMS based laser scanning laryngoscope to combine high precision laser cuts with simultaneous MHz OCT and stereo camera feedback JW Napier, S Ihler, MH Laves, M Zabic, A Heisterkamp, W Neu Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and …, 2020 | 1 | 2020 |
| HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping J Badilla-Solórzano, S Ihler, T Seel International Journal of Computer Assisted Radiology and Surgery, 1-8, 2024 | | 2024 |
| Deep Learning Based Crack Detection in Inhomogeneous X-Ray Images for High Pressure Turbine Blades in Aviation T Kuhlgatz, S Ihler, M Bonhage, T Seel Turbo Expo: Power for Land, Sea, and Air 87967, V004T05A012, 2024 | | 2024 |
Max-Heinrich LavesImFusion GmbH, Munich確認したメール アドレス: imfusion.com