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alejandro
Alejandro Martin-Gomez
alejandro.martin@jhu.edu
Assistant Research Professor

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Alejandro Martin-Gomez is an assistant research professor in the Department of Computer Science and a member of the Laboratory for Computational Sensing and Robotics (LCSR). His research interests include the study of fundamental concepts of visual perception and their transferability to medical applications that involve using augmented and virtual reality.

His work has been published in some of the most prestigious journals and at conferences in these fields, including at the IEEE International Symposium on Mixed and Augmented Reality, at the IEEE Conference on Virtual Reality and 3D User Interfaces, and in IEEE Transactions on Visualization and Computer Graphics. He also has served as a mentor and adviser to several students and scholars at the Technical University of Munich, Johns Hopkins University, and more recently, at the Friedrich-Alexander University of Erlangen-Nürnberg. In addition, he is involved in professional editorial activities and has been a program committee member for the International Symposium on Mixed and Augmented Reality in 2016, 2018, and 2021.

Before joining Johns Hopkins, Martin-Gomez completed his PhD in computer science at the Technical University of Munich, from which he graduated summa cum laude.

Field of Research: Augmented Reality for Medical Applications, User Interaction in Augmented Reality, Precise Object Alignment in Virtual and Augmented Reality, Visualization Techniques

Previous Projects:

Gain A New Perspective: Towards Exploring Multi-View Alignment in Mixed Reality

Augmented Mirrors

Visualization Techniques for Precise Alignment in VR: A Comparative Study

Kuka Innovation Award 2019 (Finalist)

A selected list of publications / patent :

  • Martin-Gomez A, Li H, Song T, Yang S, Wang G, Ding H, Navab N, Zhao Z, Armand M. STTAR: surgical tool tracking using off-the-shelf augmented reality head-mounted displays. IEEE Transactions on Visualization and Computer Graphics. 2023 Jan 19.
  • Navab N, Martin-Gomez A, Seibold M, Sommersperger M, Song T, Winkler A, Yu K, Eck U. Medical Augmented Reality: Definition, Principle Components, Domain Modeling, and Design-Development-Validation Process. Journal of Imaging. 2023 Jan;9(1):4.
  • Martin-Gomez A, Weiss J, Keller A, Eck U, Roth D, Navab N. The Impact of Focus and Context Visualization Techniques on Depth Perception in Optical See-Through Head-Mounted Displays. IEEE Transactions on Visualization and Computer Graphics. 2021; :1-1. Available from: https://ieeexplore.ieee.org/document/9429918/ DOI: 10.1109/TVCG.2021.3079849
  • Martin-Gomez A, Fotouhi J, Eck U, Navab N. Gain a new perspective: towards exploring multi-view alignment in mixed reality. In2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2020 Nov 9 (pp. 207-216). IEEE.
  • Martin-Gomez A, Winkler A, Yu K, Roth D, Eck U, Navab N. Augmented mirrors. In2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2020 Nov 9 (pp. 217-226). IEEE.
  • Fotouhi J, Song T, Mehrfard A, Taylor G, Wang Q, Xian F, Martin-Gomez A, Fuerst B, Armand M, Unberath M, Navab N. Reflective-AR Display: An Interaction Methodology for Virtual-to-Real Alignment in Medical Robotics. IEEE Robotics and Automation Letters. 2020; 5(2):2722-2729. Available from: https://ieeexplore.ieee.org/document/8988155/ DOI: 10.1109/LRA.2020.2972831
  • Martin-Gomez A, Eck U, Navab N. Visualization Techniques for Precise Alignment in VR: A Comparative Study. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR); Osaka, Japan. IEEE; c2019. Available from: https://ieeexplore.ieee.org/document/8798135/ DOI: 10.1109/VR.2019.8798135

Other publications:

  • Sommersperger M, Martin-Gomez A, Mach K, Gehlbach PL, Nasseri MA, Iordachita I, Navab N. Surgical scene generation and adversarial networks for physics-based iOCT synthesis. Biomedical Optics Express. 2022 Apr 1;13(4):2414-30.
  • Killeen BD, Winter J, Gu W, Martin-Gomez A, Taylor RH, Osgood G, Unberath M. Mixed reality interfaces for achieving desired views with robotic X-ray systems. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2022 Dec 10:1-6.
  • Ku PC, Martin-Gomez A, Gao C, Grupp R, Mears SC, Armand M. Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualisation of Bone Defects. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2022 Dec 17:1-0.
  • Liu M, Martin-Gomez A, Oni JK, Mears SC, Armand M. Towards visualizing early-stage osteonecrosis using intraoperative imaging modalities. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2022 Dec 19:1-9.
  • Zhang G, Bartels J, Martin-Gomez A, Armand M. Towards reducing visual workload in surgical navigation: proof-of-concept of an augmented reality haptic guidance system. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2022 Dec 4:1-8.
  • Gu W, Martin-Gomez A, Cho SM, Osgood G, Bracke B, Josewski C, Knopf J, Unberath M. The Impact of Visualization Paradigms on the Detectability of Spatial Misalignment in Mixed Reality Surgical Guidance. Int J Comput Assist Radiol Surg. 2022 May;17(5):921-927. PubMed PMID: 35347565.
  • Leuze C, Neves C, Martin-Gomez A, Daniel B, Navab N, Blevins N, Yona V, McNab J. Augmented Reality Guided Retrosigmoid Approach. Journal of Neurological Surgery Part B: Skull Base. 2021; 82(S 02):S025. issn: 2193-6331
  • Fischer M, Leuze C, Perkins S, Rosenberg J, Daniel B, Martin-Gomez A. Evaluation of Different Visualization Techniques for Perception-based Alignment in Medical AR. 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). 2020; :45-50. isbn: 1728176751