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ORCIDSontje Ihler
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2020 – today
- 2024
[j3]Jorge Badilla-Solórzano
, Sontje Ihler, Thomas Seel:
HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping. Int. J. Comput. Assist. Radiol. Surg. 19(12): 2363-2370 (2024)- [c7]Sontje Ihler, Felix Kuhnke, Timo Kuhlgatz, Thomas Seel:
Distribution-Aware Multi-Label FixMatch for Semi-Supervised Learning on CheXpert. CVPR Workshops 2024: 2295-2304 - 2023
- [j2]Jorge Badilla-Solórzano, Sontje Ihler, Nils-Claudius Gellrich, Simon Spalthoff:
Improving instrument detection for a robotic scrub nurse using multi-view voting. Int. J. Comput. Assist. Radiol. Surg. 18(11): 1961-1968 (2023) - [c6]Jorge Badilla-Solórzano, Nils-Claudius Gellrich, Thomas Seel, Sontje Ihler:
Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses. DALI@MICCAI 2023: 95-105 - [i9]Sontje Ihler, Felix Kuhnke, Svenja Spindeldreier:
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000. CoRR abs/2302.06684 (2023) - 2022
- [j1]Jorge Badilla-Solórzano, Svenja Spindeldreier, Sontje Ihler, Nils-Claudius Gellrich, Simon Spalthoff:
Deep-learning-based instrument detection for intra-operative robotic assistance. Int. J. Comput. Assist. Radiol. Surg. 17(9): 1685-1695 (2022) - [c5]Sontje Ihler, Felix Kuhnke, Svenja Spindeldreier:
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000. MICCAI (1) 2022: 654-663 - 2021
- [c4]Felix Kuhnke, Sontje Ihler, Jörn Ostermann:
Relative Pose Consistency for Semi-Supervised Head Pose Estimation. FG 2021: 1-8 - [i8]Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier:
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging. CoRR abs/2104.12376 (2021) - 2020
- [c3]Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier:
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. MICCAI (3) 2020: 54-64 - [c2]Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier:
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. MIDL 2020: 393-412 - [i7]Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier:
Calibration of Model Uncertainty for Dropout Variational Inference. CoRR abs/2006.11584 (2020) - [i6]Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier:
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. CoRR abs/2007.04928 (2020)
2010 – 2019
- 2019
- [c1]Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier:
Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography. Image-Guided Procedures 2019: 109510R - [i5]Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs, Tobias Ortmaier:
Semantic denoising autoencoders for retinal optical coherence tomography. CoRR abs/1903.09809 (2019) - [i4]Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier:
Retinal OCT disease classification with variational autoencoder regularization. CoRR abs/1904.00790 (2019) - [i3]Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier:
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior. CoRR abs/1908.00788 (2019) - [i2]Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier:
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases. CoRR abs/1908.00792 (2019) - [i1]Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier:
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. CoRR abs/1909.13550 (2019)
Coauthor Index
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