Unberath, Mathias

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers

Li, Z., Liu, X., Drenkow, N., Ding, A., Creighton, F. X., Taylor, R. H., & Unberath, M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 335

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

Chen, H., Gomez, C., Huang, C.-M., & Unberath, M. (2022) · npj Digital Medicine

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 300

DeepDRR – A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures

Unberath, M., Zaech, J.-N., Lee, S. C., Bier, B., Fotouhi, J., Armand, M., & Navab, N. (2018) · Lecture Notes in Computer Science

Medical Imaging and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 145

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions

Vercauteren, T., Unberath, M., Padoy, N., & Navab, N. (2020) · Proceedings of the IEEE

Artificial Intelligence in Healthcare and EducationSurgical Simulation and Training

Cited by 125

The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective

Unberath, M., Gao, C., Hu, Y., Judish, M., Taylor, R. H., Armand, M., & Grupp, R. (2021) · Frontiers in Robotics and AI

Medical Image Segmentation TechniquesAnatomy and Medical Technology

Cited by 102

Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration

Grupp, R. B., Unberath, M., Gao, C., Hegeman, R. A., Murphy, R. J., Alexander, C. P., Otake, Y., McArthur, B. A., Armand, M., & Taylor, R. H. (2020) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 83

Marker‐free motion correction in weight‐bearing cone‐beam CT of the knee joint

Berger, M., Müller, K., Aichert, A., Unberath, M., Thies, J., Choi, J. ‐., Fahrig, R., & Maier, A. (2016) · Medical Physics

Medical Image Segmentation TechniquesAdvanced X-ray and CT Imaging

Cited by 72

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation

Unberath, M., Zaech, J.-N., Gao, C., Bier, B., Goldmann, F., Lee, S. C., Fotouhi, J., Taylor, R., Armand, M., & Navab, N. (2019) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 63

Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration

Gao, C., Liu, X., Gu, W., Killeen, B., Armand, M., Taylor, R., & Unberath, M. (2020) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisMedical Image Segmentation Techniques

Cited by 46

Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views

Bier, B., Goldmann, F., Zaech, J.-N., Fotouhi, J., Hegeman, R., Grupp, R., Armand, M., Osgood, G., Navab, N., Maier, A., et al. (2019) · International Journal of Computer Assisted Radiology and Surgery

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 43

Towards Fully Automatic X-Ray to CT Registration

Esteban, J., Grimm, M., Unberath, M., Zahnd, G., & Navab, N. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 38

Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty

Gao, C., Farvardin, A., Grupp, R. B., Bakhtiarinejad, M., Ma, L., Thies, M., Unberath, M., Taylor, R. H., & Armand, M. (2020) · IEEE Transactions on Medical Robotics and Bionics

Medical Image Segmentation TechniquesSpinal Fractures and Fixation Techniques

Cited by 36

A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers

Gao, C., Feng, A., Liu, X., Taylor, R. H., Armand, M., & Unberath, M. (2024) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 36

Pose-Dependent Weights and Domain Randomization for Fully Automatic X-Ray to CT Registration

Grimm, M., Esteban, J., Unberath, M., & Navab, N. (2021) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 34

Explainable AI decision support improves accuracy during telehealth strep throat screening

Gomez, C., Smith, B.-L., Zayas, A., Unberath, M., & Canares, T. (2024) · Communications Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 30

The promise of AI and technology to improve quality of life and care for older adults

Abadir, P. M., Chellappa, R., Choudhry, N., Demiris, G., Ganesan, D., Karlawish, J., Li, R. M., Moore, J. H., Walston, J. D., AITCs, D. &. A. O. T., et al. (2023) · Nature Aging

Technology Use by Older AdultsArtificial Intelligence in Healthcare and Education

Cited by 24

Towards clinical translation of augmented orthopedic surgery: from pre-op CT to intra-op x-ray via RGBD sensing

Tucker, E. W., Fotouhi, J., Lee, S. C., Unberath, M., Fuerst, B., Johnson, A., Armand, M., Osgood, G. M., & Navab, N. (2018) · Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications

Augmented Reality ApplicationsAnatomy and Medical Technology

Cited by 19

Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees

Bier, B., Aschoff, K., Syben, C., Unberath, M., Levenston, M., Gold, G., Fahrig, R., & Maier, A. (2018) · Lecture Notes in Computer Science

Medical Imaging and AnalysisDental Radiography and Imaging

Cited by 16

Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients

Gu, W., Gao, C., Grupp, R., Fotouhi, J., & Unberath, M. (2020) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 16

Localizing dexterous surgical tools in X-ray for image-based navigation

Gao, C., Unberath, M., Taylor, R., & Armand, M. (2019) · arXiv

Medical Image Segmentation TechniquesSurgical Simulation and Training

Cited by 15

Fiducial-free 2D/3D registration of the proximal femur for robot-assisted femoroplasty

Gao, C., Grupp, R. B., Unberath, M., Taylor, R. H., & Armand, M. (2020) · Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling

Medical Image Segmentation TechniquesBone fractures and treatments

Cited by 14

Applications and implementation of generative artificial intelligence in cardiovascular imaging with a focus on ethical and legal considerations: what cardiovascular imagers need to know!

Marey, A., Serdysnki, K. C., Killeen, B. D., Unberath, M., & Umair, M. (2024) · BJR|Artificial Intelligence

Artificial Intelligence in Healthcare and EducationCardiac Imaging and Diagnostics

Cited by 7

SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments

Gao, C., Killeen, B. D., Hu, Y., Grupp, R. B., Taylor, R. H., Armand, M., & Unberath, M. (2022) · arXiv

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 5

Evaluating neural network robustness for melanoma classification using mutual information

O'Brien, M., Bukowski, J., Hager, G., Pezeshk, A., & Unberath, M. (2022) · Medical Imaging 2022: Image Processing

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 4