Sontje Ihler

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Optical Coherence Tomography

Head Pose Estimation

Medical Image Registration

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

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) (2023)
Sontje Ihler, Felix Kuhnke, Svenja Spindeldreier
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000. CoRR (2023)
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)
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) (2022)
Sontje Ihler, Felix Kuhnke, Svenja Spindeldreier
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000. MICCAI (1) (2022)
Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging. CoRR (2021)
Felix Kuhnke, Sontje Ihler, Jörn Ostermann
Relative Pose Consistency for Semi-Supervised Head Pose Estimation. FG (2021)
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)
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier
Calibration of Model Uncertainty for Dropout Variational Inference. CoRR (2020)
Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. MICCAI (3) (2020)
Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. CoRR (2020)
Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs, Tobias Ortmaier
Semantic denoising autoencoders for retinal optical coherence tomography. CoRR (2019)
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. Medical Imaging: Image-Guided Procedures (2019)
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. CoRR (2019)
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 (2019)
Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier
Retinal OCT disease classification with variational autoencoder regularization. CoRR (2019)
Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior. CoRR (2019)