Richard A. Simon
According to our database1,
Richard A. Simon
authored at least 23 papers
between 2020 and 2024.
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Bibliography
2024
Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching.
CoRR, 2024
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images.
CoRR, 2024
Boundary Constraint-free Biomechanical Model-Based Surface Matching for Intraoperative Liver Deformation Correction.
CoRR, 2024
2023
Learning feature descriptors for pre- and intra-operative point cloud matching for laparoscopic liver registration.
Int. J. Comput. Assist. Radiol. Surg., 2023
A disparity refinement framework for learning-based stereo matching methods in cross-domain setting for laparoscopic images.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Developing and evaluating the fidelity of patient specific kidney emulating phantoms for image-guided intervention applications.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided Navigation.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
Deformable Image Registration Using Vision Transformers for Cardiac Motion Estimation from Cine Cardiac MRI Images.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2022
A weakly supervised learning approach for surgical instrument segmentation from laparoscopic video sequences.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Assessing and reducing registration and targeting uncertainty in video-based image-guided renal navigation: an in vitro study featuring virtual targets.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Endoscope Localization and Dense Surgical Scene Reconstruction for Stereo Endoscopy by Unsupervised Optical Flow and Kanade-Lucas-Tomasi Tracking.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Investigating uncertainty in augmented reality enhanced renal navigation using in vitro patient-specific tissue-mimicking phantoms.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Toward a Quasi-dynamic Pulsed Field Electroporation Numerical Model for Cardiac Ablation: Predicting Tissue Conductance Changes and Ablation Lesion Patterns.
Proceedings of the Computing in Cardiology, 2022
2021
Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow Methods.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Joint deep learning framework for image registration and segmentation of late gadolinium enhanced MRI and cine cardiac MRI.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Effect of uncertainty on target registration error in image-guided renal interventions: from simulation to in-vitro assessment.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Segmentation and removal of surgical instruments for background scene visualization from endoscopic/laparoscopic video.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration Framework.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Integrating Real-time Video View with Pre-operative Models for Image-guided Renal Navigation: An in vitro Evaluation Study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Deep Learning Framework for Image Super-Resolution for Late Gadolinium Enhanced Cardiac MRI.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Surgical Tracking, Registration, and Navigation Characterization for Image-guided Renal Interventions.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020