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Mathias Unberath
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Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems
T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ...
IEEE transactions on medical imaging 37 (6), 1454-1463, 2018
2562018
Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers
Z Li, X Liu, N Drenkow, A Ding, FX Creighton, RH Taylor, M Unberath
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
2552021
Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review
NM Murray, M Unberath, GD Hager, FK Hui
Journal of neurointerventional surgery 12 (2), 156-164, 2020
2412020
Neuralangelo: High-fidelity neural surface reconstruction
Z Li, T Müller, A Evans, RH Taylor, M Unberath, MY Liu, CH Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1842023
Dense depth estimation in monocular endoscopy with self-supervised learning methods
X Liu, A Sinha, M Ishii, GD Hager, A Reiter, RH Taylor, M Unberath
IEEE transactions on medical imaging 39 (5), 1438-1447, 2019
1302019
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
M Unberath*, JN Zaech*, SC Lee, B Bier, J Fotouhi, M Armand, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2018
1242018
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
B Bier*, M Unberath*, JN Zaech, J Fotouhi, M Armand, G Osgood, ...
International Conference on Medical Image Computing and Computer Assisted …, 2018
1182018
A county-level dataset for informing the United States' response to COVID-19
BD Killeen, JY Wu, K Shah, A Zapaishchykova, P Nikutta, A Tamhane, ...
arXiv preprint arXiv:2004.00756, 2020
1152020
Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions
T Vercauteren, M Unberath, N Padoy, N Navab
Proceedings of the IEEE 108 (1), 198-214, 2019
1122019
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
H Chen, C Gomez, CM Huang, M Unberath
npj Digital Medicine 5 (156), 2022
892022
A systematic review of robustness in deep learning for computer vision: Mind the gap?
N Drenkow, N Sani, I Shpitser, M Unberath
arXiv preprint arXiv:2112.00639, 2021
792021
Marker‐free motion correction in weight‐bearing cone‐beam CT of the knee joint
M Berger, K Müller, A Aichert, M Unberath, J Thies, JH Choi, R Fahrig, ...
Medical physics 43 (3), 1235-1248, 2016
782016
On-the-fly augmented reality for orthopedic surgery using a multimodal fiducial
S Andress*, A Johnson*, M Unberath*, AF Winkler*, K Yu, J Fotouhi, ...
Journal of Medical Imaging 5 (2), 021209, 2018
772018
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
742020
Image guided percutaneous spine procedures using an optical see-through head mounted display: proof of concept and rationale
G Deib, A Johnson, M Unberath, K Yu, S Andress, L Qian, G Osgood, ...
Journal of neurointerventional surgery 10 (12), 1187-1191, 2018
702018
E-dssr: efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception
Y Long, Z Li, CH Yee, CF Ng, RH Taylor, M Unberath, Q Dou
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
602021
Plan in 2-D, execute in 3-D: an augmented reality solution for cup placement in total hip arthroplasty
J Fotouhi, CP Alexander, M Unberath, G Taylor, SC Lee, B Fuerst, ...
Journal of Medical Imaging 5 (2), 021205-021205, 2018
602018
Self-supervised learning for dense depth estimation in monocular endoscopy
X Liu, A Sinha, M Unberath, M Ishii, GD Hager, RH Taylor, A Reiter
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
572018
The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective
M Unberath, C Gao, Y Hu, M Judish, RH Taylor, M Armand, R Grupp
Frontiers in Robotics and AI 8, 716007, 2021
552021
Extremely dense point correspondences using a learned feature descriptor
X Liu, Y Zheng, B Killeen, M Ishii, GD Hager, RH Taylor, M Unberath
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
532020
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