Stefan Ploner, M. Sc.

Chair of Computer Science 5 (Pattern Recognition)

Research associates

Address

Martensstraße 3
91058 Erlangen

Stefan Ploner, M. Sc.

My research focus is generating novel insights into ophthalmic disease with advanced OCT image reconstruction. I presented at international conferences like MICCAI and ARVO, including 7 oral presentations, and was awarded an Editor’s Pick by Biomedical Optics Express, a journal curated by leading OCT experts. Furthermore, I contributed the chapter OCT motion correction and volume fusion to the upcoming third edition of the standard reference work Optical Coherence Tomography (book). My work is extensively evaluated in clinical data, and utilizes algorithmic and low level GPU optimization to minimize runtime.

Measurement of blood flow speeds in retinal capillaries

In 2015, OCT angiography was just commercialized to map the structure of the retinal vasculature. In collaboration with researchers at MIT, I developed the first method for plexus-specific visualization of blood flow speed accross full-size enface OCT angiography images, Variable Interscan Time Analysis (VISTA) visualization (Retina, 2016). The method was patented, orally presented at the ARVO annual meeting 2016 in front of an audience of ~1000 experts, applied in multiple clinical publications, and attracted attention of several research groups worldwide.

VISTA revealing slower blood flow (blue) in a neovascularization in PDR.

Advanced ophthalmic imaging with Volume Fusion OCT

OCT volume fusion enhances the visibility of retinal bands.

Especially OCT images from elderly subjects suffer from eye motion, distortion, opacities, and low SNR. I developed a unique framework for automatic artifact compensation and image enhancement. Multiple OCT volumes are seamlessly fused and optionally super-resolved in 3D to reach unprecedented image quality. The approach was transferred to four collaborating institutes and played a key role in multiple clinical studies, enabling the first in-vivo topographic analysis of Basal Laminar Deposits and unvealing a new, particularly weakly reflecting band in OCT, among others. Milestones, which together form the Motion correction and volume Reconstruction in OCT (MoReOCT) framework, are listed below.

Collaborations with pioneering international experts

Since my research visit in 2015/2016, I am closely collaborating with James Fujimoto’s research group at MIT, who built the first and continue to develop most advanced OCT systems to date. Our joint developments are transferred to clinical application at the New England Eye Center (Nadia Waheed, Jay Duker), the first clinic that used OCT technology in patient care. I’m also studying new technologies with researchers at Oregon Health and Science University (Siyu Chen, David Huang) and Northwestern University (Hao Zhang).

Since 08/2017: PhD Student, Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg

  • Motion correction and volume reconstruction in Optical Coherence Tomography (OCT) and OCT angiography
  • In close collaboration with the Biomedical Optical Imaging and Biophotonics Group, MIT
  • First-authored contributions at MICCAI (2022, 2026a, 2026b), ISBI, ARVO, and others.
  • 5 oral presentations at international conferences.
  • Developed image processing methods that enabled clinical studies published in IOVS and TVST (1, 2)
  • Reviewer for MICCAI, BOE, IOVS, MELBA, OE, TVST, MedPhys, JBio, JBO, Optics Letters, and others

10/2014 - 05/2017: Master of Science with distinction in Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg

  • Focus on medical image processing, pattern recognition and high-performance computing
  • Master thesis: Improving 3D OCT motion correction
    (Editor's pick in Biomedical Optics Express, oral presentation at the ARVO annual meeting)

10/2015 - 05/2016: Visiting student, Massachusetts Institute of Technology, Cambridge, USA

04/2011 - 03/2015: Bachelor of Science in Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg

  • Focus on pattern recognition, computer architecture, discrete optimization and computer graphics
  • Student research assistant at the Pattern Recognition Lab, research on false
    color visualization in the multispectral imaging software framework Gerbil

Teaching Experience

  • 10/2014 - 01/2015: Student teaching assistant, Friedrich-Alexander-Universität Erlangen-Nürnberg
    • Exercises in Theory of Computation and Formal Languages
  • 10/2011 - 09/2012: Student teaching assistant, Friedrich-Alexander-Universität Erlangen-Nürnberg
    • Exercises in Algorithms and Data Structures

International talks & invited lectures

  • 3D Super-Resolution OCT enhances cellular-level structures in the outer segment across wide fields w/o adaptive optics
    ARVO imaging in the eye 2026, Denver, Colorado
  • Fixational eye motion estimation alongside OCT imaging, and compensation at the sub-micron level
    ARVO annual meeting 2026, Denver, Colorado
  • Motion correction & enhancement of volumetric high resolution OCT
    FLORetina 2025, Fortezza da Basso, Florence, Italy
  • Advanced 3D image fusion for volumetric analysis of subtle features in retinal OCT [invited]
    2024, Casey Eye Institute, Oregon Health and Science University, Portland, OR
  • A Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography
    IEEE International Symposium on Biomedical Imaging 2023, Cartagena, Colombia
  • A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
    MICCAI main conference contribution presented at the Workshop on Biomedical Image Registration 2022, Singapore
  • 3-D OCT Motion Correction Efficiently Enhanced with OCT Angiography
    ARVO annual meeting 2018, Honolulu, Hawaii
  • Toward quantitative OCT angiography: Visualizing flow impairment using variable interscan time analysis (VISTA)
    ARVO annual meeting 2016, Ballroom A, B & C, Washington State Convention Center, Seattle, WA

Methodologic Advances

  • Ploner et al., in Optical Coherence Tomography (standard reference work, 3rd edition, in press):
    OCT motion correction and volume fusion
    Fundamentals in motion correction & volume fusion for scanned ophthalmic imaging modalities
  • Ploner et al., MICCAI 2022:
    A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
    Interpolation bias compensation increased parameter estimation accuracy dramatically.
  • Ploner et al., ISBI 2023 (oral):
    A Spatiotemporal Illumination Model for 3D Image Fusion in OCT
    Illumination compensation added to prevent related merging artifacts
  • Ploner et al., ARVO 2024 (clinically-focused oral presentation at Floretina 2025):
    A reliable, fully-automatic pipeline for 3D motion correction and volume fusion
    Automatic artifact removal to enable large-scale automatic processing for below-reference clinical studies.
  • Ploner et al., ARVO imaging 2025:
    Quantification and compensation of 2nd order image distortions in high resolution OCT and longitudinal registration
    Added B-scan curvature compensation, which is needed in high-resolution OCT and longitudinal registration.
  • Ploner et al., ARVO 2026 (oral):
    Fixational eye motion estimation alongside OCT imaging, and compensation at the sub-micron level
    Added transverse scale compensation for sub-micron motion compensation, demonstrate OCT-based eye tracking.
  • Ploner et al., MICCAI 2026 (in press) & ARVO imaging 2026 (oral):
    Volume-Fused Super-Resolution OCT Reveals Cellular-Level Structures in the Outer Segment Without Adaptive Optics
    Added supersampling & iterative 3D deblurring (super-resolution), achieving individual S-cone visualization.
  • Ploner et al., MICCAI 2026 (in press):
    Validation of simulation-based evaluation by inclusion of unlabeled data and meta-ablation
    Validation of the simulation framework that will play a key role in motion correction accuracy evaluation.
  • The Motion correction and volume Reconstruction in OCT (MoReOCT) framework
    • Constitutes the second generation FAU/MIT orthogonal scan OCT motion correction with superior accuracy
    • Additionally integrates all steps of fusion and super-resolution, with end-to-end GPU acceleration
    • Applies to standard and high-resolution, and arbitrary light sources (spectral domain, swept source, visible light)
    • Can also be used for OCT angiography computation and volume merging
    • In use at FAU, MIT, NEEC, OHSU, and Northwestern University

Clinical Applications

  • Won, Takahashi, Ploner et al., IOVS 2024 & ARVO imaging 2024 (oral):
    Topographic Measurement of the Subretinal Pigment Epithelium Space in Normal Aging and Age-Related Macular Degeneration Using High-Resolution OCT
    Volume fusion improved visibility and enabled topographic analysis of a very thin retinal layer (BLamD, early biomarker in AMD, a blinding eye disease).
  • Jamil, Won, Ploner et al., TVST 2025:
    High-Resolution OCT Reveals Age-Associated Variation in the Region Posterior to the External Limiting Membrane
    Discovery of a new, particularly weakly reflecting retinal band in OCT images, potentially related to Mueller cells.
  • Won, Yaghy, Ploner et al., TVST 2025:
    High-Resolution, Motion-Corrected, Volume-Fused OCT for Investigating Longitudinal Changes in Subretinal Drusenoid Deposits in Intermediate AMD
    Longitudinal analysis of focal pathologic features.
  • Additional conference abstracts:
    • EZ thickening & longitudinal changes in AMD (2026, oral)
    • FAF-corresponding reflectivity patterns in the RPE in GA (2026)
    • IS myoid zone thickening in Stargardt disease (2026)
    • Distinct patterns of degeneration in Stargardt disease (2026)
    • Association of drusen dynamics and BLamD in AMD (2026)
    • EZ segmentation in various stages of AMD (2026)
    • Hyporeflective gap between CIZ and RIZ in DM no DR (2025)
    • 3D shape analysis & longitudinal tracking of HRFs (2023, oral)

2025

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2024

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2023

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2022

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2021

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2020

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2019

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2018

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2017

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2016

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No awards found.