Mathias Unberath

4.8k total citations · 2 hit papers
158 papers, 2.5k citations indexed

About

Mathias Unberath is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Mathias Unberath has authored 158 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Biomedical Engineering, 56 papers in Computer Vision and Pattern Recognition and 52 papers in Surgery. Recurrent topics in Mathias Unberath's work include Surgical Simulation and Training (33 papers), Medical Imaging Techniques and Applications (25 papers) and Medical Imaging and Analysis (22 papers). Mathias Unberath is often cited by papers focused on Surgical Simulation and Training (33 papers), Medical Imaging Techniques and Applications (25 papers) and Medical Imaging and Analysis (22 papers). Mathias Unberath collaborates with scholars based in United States, Germany and Canada. Mathias Unberath's co-authors include Russell H. Taylor, Gregory D. Hager, Zhaoshuo Li, Andreas Maier, Ferdinand Hui, Mehran Armand, Xingtong Liu, Nick M. Murray, Catalina Gómez and Nassir Navab and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Ophthalmology.

In The Last Decade

Mathias Unberath

147 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review

2019 203 citations Mathias Unberath, Gregory D. Hager et al. profile →
Neuralangelo: High-Fidelity Neural Surface Reconstruction

2023 178 citations Zhaoshuo Li, Russell H. Taylor et al. profile →

Peers

Countries citing papers authored by Mathias Unberath

Since Specialization

Citations

This map shows the geographic impact of Mathias Unberath's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mathias Unberath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Unberath more than expected).

Fields of papers citing papers by Mathias Unberath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias Unberath. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mathias Unberath. The network helps show where Mathias Unberath may publish in the future.

Co-authorship network of co-authors of Mathias Unberath

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Unberath. A scholar is included among the top collaborators of Mathias Unberath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathias Unberath. Mathias Unberath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Seamless augmented reality integration in arthroscopy: a pipeline for articular reconstruction and guidance 2025 ·Healthcare Technology Letters ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Russell H. Taylor, Mathias Unberath	2
2	Direct Prediction of 48 Month Survival Status in Patients with Uveal Melanoma Using Deep Learning and Digital Cytopathology Images 2025 ·Cancers ·T. Y. Alvin Liu, (unknown), (unknown), (unknown), Mathias Unberath, Zélia M. Corrêa	0
3	Deformable motion compensation in interventional cone‐beam CT with a context‐aware learned autofocus metric 2024 ·Medical Physics ·(unknown), (unknown), Jeffrey H. Siewerdsen, (unknown), (unknown), Wojciech Zbijewski, Mathias Unberath, Clifford R. Weiss, Alejandro Sisniega	1
4	StraightTrack: Towards mixed reality navigation system for percutaneous K‐wire insertion 2024 ·Healthcare Technology Letters ·(unknown), Benjamin D. Killeen, You Jin Ku, (unknown), (unknown), (unknown), Yang Yue, (unknown), Alejandro Martin‐Gomez, (unknown), Greg Osgood, Mathias Unberath	2
5	Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability 2024 ·Ophthalmology Glaucoma ·Ruolin Wang, Chris Bradley, (unknown), (unknown), Gregory D. Hager, Katharina Breininger, Mathias Unberath, Pradeep Y. Ramulu, Jithin Yohannan	2
6	Cognitive load in tele-robotic surgery: a comparison of eye tracker designs 2024 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), Paola Ruiz Puentes, (unknown), (unknown), (unknown), Yizhou Li, Ahmed Ghazi, Jie Ying Wu, Mathias Unberath	1
7	Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding 2024 ·(unknown), (unknown), Benjamin D. Killeen, (unknown), Mathias Unberath	6
8	An endoscopic chisel: intraoperative imaging carves 3D anatomical models 2024 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), (unknown), (unknown), Manish Sahu, Jose L. Porras, S. Swaroop Vedula, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath	2
9	OneSLAM to map them all: a generalized approach to SLAM for monocular endoscopic imaging based on tracking any point 2024 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), (unknown), (unknown), (unknown), Manish Sahu, S. Swaroop Vedula, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath	3
10	A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow 2023 ·Frontiers in Medicine ·Lei Zhang, (unknown), Mathias Unberath, Haomin Chen, (unknown), Guang Li, David Dreizin	9
11	TAToo: vision-based joint tracking of anatomy and tool for skull-base surgery 2023 ·International Journal of Computer Assisted Radiology and Surgery ·Zhaoshuo Li, (unknown), Ruixing Liang, (unknown), Manish Sahu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath	10
12	Accelerating voxelwise annotation of cross-sectional imaging through AI collaborative labeling with quality assurance and bias mitigation 2023 ·SHILAP Revista de lepidopterología ·David Dreizin, Lei Zhang, (unknown), Uttam K. Bodanapally, Guang Li, (unknown), Haomin Chen, (unknown), (unknown), Peter Campbell, Mathias Unberath	3
13	Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening 2023 ·Ophthalmology ·Chris Bradley, (unknown), (unknown), Mathias Unberath, Pradeep Y. Ramulu, Jithin Yohannan	14
14	Injured Avatars: The Impact of Embodied Anatomies and Virtual Injuries on Well-Being and Performance 2023 ·IEEE Transactions on Visualization and Computer Graphics ·(unknown), (unknown), (unknown), Alejandro Martin‐Gomez, Mathias Unberath, Daniel Roth	4
15	A Self‐Configuring Deep Learning Network for Segmentation of Temporal Bone Anatomy in Cone‐Beam CT Imaging 2023 ·Otolaryngology ·Andy S. Ding, (unknown), Zhaoshuo Li, Manish Sahu, Deepa Galaiya, Jeffrey H. Siewerdsen, Mathias Unberath, Russell H. Taylor, Francis X. Creighton	21
16	Investigating keypoint descriptors for camera relocalization in endoscopy surgery 2023 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), (unknown), (unknown), Manish Sahu, (unknown), S. Swaroop Vedula, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath	1
17	Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network 2023 ·Ophthalmology ·(unknown), Chris Bradley, (unknown), Chris A. Johnson, Michael Wall, Pradeep Y. Ramulu, Mathias Unberath, Jithin Yohannan	21
18	Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging 2023 ·BJR\|Open ·(unknown), (unknown), Benjamin D. Killeen, Catalina Gómez, (unknown), Mathias Unberath, Muhammad Umair	5
19	Gene Expression Profile Prediction in Uveal Melanoma Using Deep Learning 2020 ·Ophthalmology Retina ·T. Y. Alvin Liu, (unknown), (unknown), J. Fernando Arévalo, Ferdinand Hui, Paul H. Yi, Jinchi Wei, Mathias Unberath, Zélia M. Corrêa	11
20	Remote sensing of coastal vegetation: Dealing with high species turnover by mapping multiple floristic gradients 2019 ·Applied Vegetation Science ·(unknown), (unknown), Ben Somers, Ruben Van De Kerchove, Jeroen Vanden Borre, Mathias Unberath, Hannes Feilhauer	5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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