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Simon Reiß

7 papers at tracked venues · 3 at CORE A* · active 2024–2025

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Venues

MICCAI ×3AAAI ×1EMNLP ×1ICCV ×1NeurIPS ×1

Frequent coauthors

Rainer Stiefelhagen
×6
Alexander Jaus
×5
Constantin Seibold
×3
Zdravko Marinov
×2
Jens Kleesiek
×2
M. Saquib Sarfraz
×2
Alessio Negrini
×1
Keyi Li
×1
Zeling Ye
×1
Stefan Krieg
×1
Erik Rodner
×1
Cedric Zöllner
×1

Papers

  1. Conquering the Retina: Bringing Visual in-Context Learning to OCT
    MICCAI 2025 ·
    Alessio Negrini
    , Simon Reiß
  2. Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
    AAAI 2025 ·
    Alexander Jaus
    ,
    Constantin Marc Seibold
    , Simon Reiß,
    Zdravko Marinov
    ,
    Keyi Li
    ,
    Zeling Ye
    ,
    Stefan Krieg
    ,
    Jens Kleesiek
    ,
    Rainer Stiefelhagen
  3. Is Visual in-Context Learning for Compositional Medical Tasks Within Reach?
    ICCV 2025 · Simon Reiß,
    Zdravko Marinov
    ,
    Alexander Jaus
    ,
    Constantin Seibold
    ,
    M. Saquib Sarfraz
    ,
    Erik Rodner
    ,
    Rainer Stiefelhagen
  4. Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement
    MICCAI 2025 ·
    Cedric Zöllner
    , Simon Reiß,
    Alexander Jaus
    ,
    Amroalalaa Sholi
    ,
    Ralf Sodian
    ,
    Rainer Stiefelhagen
  5. Anatomy-Guided Pathology Segmentation
    MICCAI 2024 ·
    Alexander Jaus
    ,
    Constantin Seibold
    , Simon Reiß,
    Lukas Heine
    ,
    Anton Schily
    ,
    Moon S. Kim
    ,
    Fin Hendrik Bahnsen
    ,
    Ken Herrmann
    ,
    Rainer Stiefelhagen
    ,
    Jens Kleesiek
  6. Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
    NeurIPS 2024 ·
    David Schneider
    , Simon Reiß,
    Marco Kugler
    ,
    Alexander Jaus
    ,
    Kunyu Peng
    ,
    Susanne Sutschet
    ,
    M. Saquib Sarfraz
    ,
    Sven Matthiesen
    ,
    Rainer Stiefelhagen
  7. SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
    EMNLP 2024 ·
    Tu Anh Dinh
    ,
    Carlos Mullov
    ,
    Leonard Bärmann
    ,
    Zhaolin Li
    ,
    Danni Liu
    , Simon Reiß,
    Jueun Lee
    ,
    Nathan Lerzer
    ,
    Jianfeng Gao
    ,
    Fabian Peller-Konrad
    ,
    Tobias Röddiger
    ,
    Alexander Waibel
    ,
    Tamim Asfour
    ,
    Michael Beigl
    ,
    Rainer Stiefelhagen
    ,
    Carsten Dachsbacher
    ,
    Klemens Böhm
    ,
    Jan Niehues