Mathias Unberath

Mathias Unberath

Johns Hopkins University

H-index: 31

North America-United States

About Mathias Unberath

Mathias Unberath, With an exceptional h-index of 31 and a recent h-index of 31 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Healthcare, Computer Vision, Machine Learning, Extended Reality, HCI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-based Identification of Patients with Low Visual Field Variability

RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Take a shot! Natural language control of intelligent robotic X-ray systems in surgery

Improving the Temporal Accuracy of Eye Gaze Tracking for the da Vinci Surgical System Through Automatic Detection of Decalibration Events and Recalibration

FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation

Cognitive effort detection for tele-robotic surgery via personalized pupil response modeling

Assessment of linear regression of peripapillary optical coherence tomography retinal nerve fiber layer measurements to forecast glacuoma trajectory

Mathias Unberath Information

University

Position

___

Citations(all)

3544

Citations(since 2020)

3296

Cited By

1057

hIndex(all)

31

hIndex(since 2020)

31

i10Index(all)

84

i10Index(since 2020)

74

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Mathias Unberath Skills & Research Interests

Healthcare

Computer Vision

Machine Learning

Extended Reality

HCI

Top articles of Mathias Unberath

Title

Journal

Author(s)

Publication Date

Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-based Identification of Patients with Low Visual Field Variability

Ophthalmology Glaucoma

Ruolin Wang

Chris Bradley

Patrick Herbert

Kaihua Hou

Gregory D Hager

...

2024/1/29

RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning

Nathan Drenkow

Mathias Unberath

2024

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

arXiv preprint arXiv:2403.09827

Yiqing Shen

Jingxing Li

Xinyuan Shao

Blanca Inigo Romillo

Ankush Jindal

...

2024/3/14

Take a shot! Natural language control of intelligent robotic X-ray systems in surgery

International Journal of Computer Assisted Radiology and Surgery

Benjamin D Killeen

Shreayan Chaudhary

Greg Osgood

Mathias Unberath

2024/4/15

Improving the Temporal Accuracy of Eye Gaze Tracking for the da Vinci Surgical System Through Automatic Detection of Decalibration Events and Recalibration

Journal of Medical Robotics Research

Regine Buter

John J Han

Ayberk Acar

Yizhou Li

Paola Ruiz Puentes

...

2024/1/26

FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation

arXiv preprint arXiv:2403.08059

Benjamin D Killeen

Liam J Wang

Han Zhang

Mehran Armand

Russell H Taylor

...

2024/3/12

Cognitive effort detection for tele-robotic surgery via personalized pupil response modeling

International Journal of Computer Assisted Radiology and Surgery

Regine Büter

Roger D Soberanis-Mukul

Rohit Shankar

Paola Ruiz Puentes

Ahmed Ghazi

...

2024/4/8

Assessment of linear regression of peripapillary optical coherence tomography retinal nerve fiber layer measurements to forecast glacuoma trajectory

PloS one

Chris Bradley

Kaihua Hou

Patrick Herbert

Mathias Unberath

Greg Hager

...

2024/1/12

An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models

arXiv preprint arXiv:2402.11840

Jan Emily Mangulabnan

Roger D Soberanis-Mukul

Timo Teufel

Manish Sahu

Jose L Porras

...

2024/2/19

From generalization to precision: exploring SAM for tool segmentation in surgical environments

Kanyifeechukwu J Oguine

Roger D Soberanis Mukul

Nathan Drenkow

Mathias Unberath

2024/4/2

Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care

Alzheimer's & Dementia

Peter Abadir

Esther Oh

Rama Chellappa

Niteesh Choudhry

George Demiris

...

2024/2/7

Deep learning-based identification of eyes at risk for glaucoma surgery

Scientific Reports

Ruolin Wang

Chris Bradley

Patrick Herbert

Kaihua Hou

Pradeep Ramulu

...

2024/1/5

A CT system-free approach for brain perfusion assessment: temporal perfusion index estimation

Shalini Subramanian

W Paul Segars

Ting-Yim Lee

Andreia V Faria

Donghyeon Lee

...

2024/4/1

An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype

Emergency Radiology

Nathan Sarkar

Mitsuo Kumagai

Samantha Meyr

Sriya Pothapragada

Mathias Unberath

...

2024/2/2

Medical imaging modalities

Mathias Unberath

Andreas Maier

2024/1/1

Eye Tracking for Tele-robotic surgery: a comparative evaluation of head-worn solutions

Regine Büter

Roger D Soberanis-Mukul

Paola Ruiz Puentes

Ahmed Ghazi

Jie Ying Wu

...

2024/3/29

Stand in surgeon’s shoes: virtual reality cross-training to enhance teamwork in surgery

International Journal of Computer Assisted Radiology and Surgery

Benjamin D Killeen

Han Zhang

Liam J Wang

Zixuan Liu

Constantin Kleinbeck

...

2024/4/20

Neuralangelo: High-fidelity neural surface reconstruction

Zhaoshuo Li

Thomas Müller

Alex Evans

Russell H Taylor

Mathias Unberath

...

2023

Forecasting risk of future rapid glaucoma worsening using early visual field, OCT, and clinical data

Ophthalmology Glaucoma

Patrick Herbert

Kaihua Hou

Chris Bradley

Greg Hager

Michael V Boland

...

2023/9/1

Injured avatars: the impact of embodied anatomies and virtual injuries on well-being and performance

IEEE transactions on visualization and computer graphics

Constantin Kleinbeck

Hannah Schieber

Julian Kreimeier

Alejandro Martin-Gomez

Mathias Unberath

...

2023/10/3

See List of Professors in Mathias Unberath University(Johns Hopkins University)

Co-Authors

H-index: 115
Nassir Navab

Nassir Navab

Technische Universität München

H-index: 108
Russell H. Taylor

Russell H. Taylor

Johns Hopkins University

H-index: 97
Gregory Hager

Gregory Hager

Johns Hopkins University

H-index: 57
Andreas K. Maier

Andreas K. Maier

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 38
Mehran Armand

Mehran Armand

Johns Hopkins University

H-index: 36
Ferdinand Hui

Ferdinand Hui

Johns Hopkins University

academic-engine