From Prompts to Pipelines: Evaluating LLM-Generated Medical Image Segmentation Baselines

Jasmin ArjomandiDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, Luisa NeubigDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, Franziska Mathis-UllrichDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, Andreas M. KistDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany

Biophysics-Enhanced Neural Representations for Patient-Specific Respiratory Motion Modeling

Jan BoysenGerman Research Center for Artificial Intelligence (DFKI), Lübeck, DE, Hristina UzunovaClinic for Orthopedics and Orthopedic Surgery, University Medicine Greifswald, Greifswald, DE, Heinz HandelsGerman Research Center for Artificial Intelligence (DFKI), Lübeck, DE
Institute of Medical Informatics, University of Lübeck, DE, Jan EhrhardtGerman Research Center for Artificial Intelligence (DFKI), Lübeck, DE
Institute of Medical Informatics, University of Lübeck, DE

Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology

Emely RosbachTechnische Hochschule Ingolstadt, Ingolstadt, Germany, Jonas AmmelingTechnische Hochschule Ingolstadt, Ingolstadt, Germany, Jonathan GanzTechnische Hochschule Ingolstadt, Ingolstadt, Germany, Christof Albert BertramUniversity of Veterinary Medicine Vienna, Vienna, Austria, Thomas ConradFreie Universität Berlin, Berlin, Germany, Andreas RienerTechnische Hochschule Ingolstadt, Ingolstadt, Germany, Marc AubrevilleFlensburg University of Applied Sciences, Flensburg, Germany

Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation

Tyler B. WardDepartment of Computer Science, University of Kentucky, Aaron MoseleyDepartment of Computer Science, University of Kentucky, Abdullah-Al-Zubaer ImranDepartment of Computer Science, University of Kentucky

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation

Don’t Mind the Gaps: Implicit Neural Representations for Resolution-Agnostic Retinal OCT Analysis

Bennet KahrsGerman Research Center for Artificial Intelligence, Luebeck, DE
Institute of Medical Informatics, University of Luebeck, Luebeck, DE, Julia AndresenInstitute of Medical Informatics, University of Luebeck, Luebeck, DE, Fenja FaltaInstitute of Medical Informatics, University of Luebeck, Luebeck, DE, Monty SantarossaMultimedia Information Processing Group, Kiel University, Kiel, DE, Heinz HandelsGerman Research Center for Artificial Intelligence, Luebeck, DE
Institute of Medical Informatics, University of Luebeck, Luebeck, DE, Timo KeppGerman Research Center for Artificial Intelligence, Luebeck, DE

Learning Neural Parametric 3D Breast Shape Models for Metrical Surface Reconstruction From Monocular RGB Videos

Maximilian WeihererVisual Computing Erlangen, Friedrich-Alexander-Universtität Erlangen-Nürnberg, Erlangen, Germany
Regensburg Medical Image Computing (ReMIC), OTH Regensburg, Regensburg, Germany, Antonia von RiedheimDepartment for Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany, Vanessa BrébantDepartment for Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany, Bernhard EggerVisual Computing Erlangen, Friedrich-Alexander-Universtität Erlangen-Nürnberg, Erlangen, Germany, Christoph PalmRegensburg Medical Image Computing (ReMIC), OTH Regensburg, Regensburg, Germany

AIxCell: A Domain-Specific and Meta-Learning based AutoML System for Cellular Image Segmentation

Jan-Henner RobergAICOS, Fraunhofer Portugal Research, Lars LeyendeckerProduction Quality, Fraunhofer Institute for Production Technology IPT, Sebastian SchönlebenProduction Quality, Fraunhofer Institute for Production Technology IPT, Robert H. SchmittProduction Quality, Fraunhofer Institute for Production Technology IPT
Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University