Sontje Ihler

19 papers B 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
Distribution-Aware Multi-Label FixMatch for Semi-Supervised Learning on CheXpert.
CVPR Workshops
Sontje Ihler, Felix Kuhnke, Timo Kuhlgatz, Thomas Seel
2024 J jnl
HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping.
Int. J. Comput. Assist. Radiol. Surg.
Jorge Badilla-Solórzano, Sontje Ihler, Thomas Seel
2023 J jnl
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000.
CoRR
Sontje Ihler, Felix Kuhnke, Svenja Spindeldreier
2023 J jnl
Improving instrument detection for a robotic scrub nurse using multi-view voting.
Int. J. Comput. Assist. Radiol. Surg.
Jorge Badilla-Solórzano, Sontje Ihler, Nils-Claudius Gellrich, Simon Spalthoff
2023 — conf
Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses.
DALI@MICCAI
Jorge Badilla-Solórzano, Nils-Claudius Gellrich, Thomas Seel, Sontje Ihler
2022 — conf
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000.
MICCAI (1)
Sontje Ihler, Felix Kuhnke, Svenja Spindeldreier
2022 J jnl
Deep-learning-based instrument detection for intra-operative robotic assistance.
Int. J. Comput. Assist. Radiol. Surg.
Jorge Badilla-Solórzano, Svenja Spindeldreier, Sontje Ihler, Nils-Claudius Gellrich, Simon Spalthoff
2021 J jnl
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging.
CoRR
Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier
2021 B conf
Relative Pose Consistency for Semi-Supervised Head Pose Estimation.
FG
Felix Kuhnke, Sontje Ihler, Jörn Ostermann
2020 J jnl
Calibration of Model Uncertainty for Dropout Variational Inference.
CoRR
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier
2020 J jnl
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer.
CoRR
Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier
2020 — conf
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking.
MICCAI (3)
Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier
2020 — conf
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning.
MIDL
Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier
2019 — conf
Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography.
Image-Guided Procedures
Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier
2019 J jnl
Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior.
CoRR
Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
2019 J jnl
Retinal OCT disease classification with variational autoencoder regularization.
CoRR
Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs, Tobias Ortmaier
2019 J jnl
Semantic denoising autoencoders for retinal optical coherence tomography.
CoRR
Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs, Tobias Ortmaier
2019 J jnl
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases.
CoRR
Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
2019 J jnl
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference.
CoRR
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann, Tobias Ortmaier