Philipp Fürnstahl
Orcid: 0000-0001-6484-6206Affiliations:
- Balgrist University Hospital, Zurich, Switzerland
According to our database1,
Philipp Fürnstahl
authored at least 48 papers
between 2005 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.
Medical Image Anal., 2025
2024
Deep-learning based 3D reconstruction of lower limb bones from biplanar radiographs for preoperative osteotomy planning.
Int. J. Comput. Assist. Radiol. Surg., September, 2024
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery.
Medical Image Anal., January, 2024
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data.
Medical Image Anal., 2024
Comput. Methods Programs Biomed., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
State-of-the-Art of Non-Radiative, Non-Visual Spine Sensing with a Focus on Sensing Forces, Vibrations and Bioelectrical Properties: A Systematic Review.
Sensors, October, 2023
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing.
Artif. Intell. Medicine, October, 2023
Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study.
Int. J. Comput. Assist. Radiol. Surg., September, 2023
J. Imaging, 2023
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery.
CoRR, 2023
Next-generation Surgical Navigation: Multi-view Marker-less 6DoF Pose Estimation of Surgical Instruments.
CoRR, 2023
How different augmented reality visualizations for drilling affect trajectory deviation, visual attention, and user experience.
Int. J. Comput. Assist. Radiol. Surg., 2023
2022
Marker-free surgical navigation of rod bending using a stereo neural network and augmented reality in spinal fusion.
Medical Image Anal., 2022
X23D - Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data.
J. Imaging, 2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022
2021
Knowl. Based Syst., 2021
SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data.
J. Imaging, 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Acoustic-Based Spatio-Temporal Learning for Press-Fit Evaluation of Femoral Stem Implants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
An automatic genetic algorithm framework for the optimization of three-dimensional surgical plans of forearm corrective osteotomies.
Medical Image Anal., 2020
Automatic Modelling of Human Musculoskeletal Ligaments - Framework Overview and Model Quality Evaluation.
CoRR, 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
2019
Int. J. Comput. Assist. Radiol. Surg., 2019
2018
A scale-space curvature matching algorithm for the reconstruction of complex proximal humeral fractures.
Medical Image Anal., 2018
Registration of 3D freehand ultrasound to a bone model for orthopedic procedures of the forearm.
Int. J. Comput. Assist. Radiol. Surg., 2018
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Fully Automatic Planning of Total Shoulder Arthroplasty Without Segmentation: A Deep Learning Based Approach.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2018
2017
Int. J. Comput. Assist. Radiol. Surg., 2017
A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Regression forest-based automatic estimation of the articular margin plane for shoulder prosthesis planning.
Medical Image Anal., 2016
2014
Automatic string generation for estimating in vivo length changes of the medial patellofemoral ligament during knee flexion.
Medical Biol. Eng. Comput., 2014
2013
Comput. Math. Methods Medicine, 2013
2012
Computer assisted reconstruction of complex proximal humerus fractures for preoperative planning.
Medical Image Anal., 2012
2009
Quantifying perception of nonlinear elastic tissue models using multidimensional scaling.
Proceedings of the World Haptics 2009, 2009
2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2005
Geometrical Accuracy of Bayer Pattern Images.
Proceedings of the 13-th International Conference in Central Europe on Computer Graphics, 2005