Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography. - Max-Heinrich Laves; Sontje Ihler; Lüder A. Kahrs; Tobias Ortmaier (Image-Guided Procedures, 2019)

Semantic denoising autoencoders for retinal optical coherence tomography. - Max-Heinrich Laves; Sontje Ihler; Lüder Alexander Kahrs; Tobias Ortmaier (CoRR, 2019)

Retinal OCT disease classification with variational autoencoder regularization. - Max-Heinrich Laves; Sontje Ihler; Lüder A. Kahrs; Tobias Ortmaier (CoRR, 2019)

Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior. - Max-Heinrich Laves; Sontje Ihler; Tobias Ortmaier (CoRR, 2019)

Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases. - Max-Heinrich Laves; Sontje Ihler; Tobias Ortmaier (CoRR, 2019)

Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference. - Max-Heinrich Laves; Sontje Ihler; Karl-Philipp Kortmann; Tobias Ortmaier (CoRR, 2019)

Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. - Sontje Ihler; Felix Kuhnke; Max-Heinrich Laves; Tobias Ortmaier (MICCAI (3), 2020)

Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. - Max-Heinrich Laves; Sontje Ihler; Jacob Friedemann Fast; Lüder A. Kahrs; Tobias Ortmaier (MIDL, 2020)

Calibration of Model Uncertainty for Dropout Variational Inference. - Max-Heinrich Laves; Sontje Ihler; Karl-Philipp Kortmann; Tobias Ortmaier (CoRR, 2020)

Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. - Sontje Ihler; Max-Heinrich Laves; Tobias Ortmaier (CoRR, 2020)

Relative Pose Consistency for Semi-Supervised Head Pose Estimation. - Felix Kuhnke; Sontje Ihler; Jörn Ostermann (FG, 2021)

Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging. - Max-Heinrich Laves; Sontje Ihler; Jacob Friedemann Fast; Lüder A. Kahrs; Tobias Ortmaier (CoRR, 2021)

A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000. - Sontje Ihler; Felix Kuhnke; Svenja Spindeldreier (MICCAI (1), 2022)

Deep-learning-based instrument detection for intra-operative robotic assistance. - Jorge Badilla-Solórzano; Svenja Spindeldreier; Sontje Ihler; Nils-Claudius Gellrich; Simon Spalthoff (Int. J. Comput. Assist. Radiol. Surg., 2022)

Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses. - Jorge Badilla-Solórzano; Nils-Claudius Gellrich; Thomas Seel; Sontje Ihler (DALI@MICCAI, 2023)

Improving instrument detection for a robotic scrub nurse using multi-view voting. - Jorge Badilla-Solórzano; Sontje Ihler; Nils-Claudius Gellrich; Simon Spalthoff (Int. J. Comput. Assist. Radiol. Surg., 2023)

Distribution-Aware Multi-Label FixMatch for Semi-Supervised Learning on CheXpert. - Sontje Ihler; Felix Kuhnke; Timo Kuhlgatz; Thomas Seel (CVPR Workshops, 2024)

HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping. - Jorge Badilla-Solórzano; Sontje Ihler; Thomas Seel (Int. J. Comput. Assist. Radiol. Surg., 2024)