MELBA – Publications

All publications

- December 2020 issue

Volume 2026

https://doi.org/10.59275/j.melba.2026-ac85

9 papers

Quantifying the Efficacy of Deep Learning-Driven Deformable Registra- tion in Multiplexed-Immunofluorescence Imaging for Nucleus Subtype Classification cover file

Quantifying the Efficacy of Deep Learning-Driven Deformable Registra- tion in Multiplexed-Immunofluorescence Imaging for Nucleus Subtype Classification

2026/04/05
April 2026 issue

Gaurav RudravaramDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA et al.

Gaurav RudravaramDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, Shunxing BaoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, Lucas W. RemediosDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Aravind R. KrishnanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, Michael E. KimDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Yihao LiuDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Chenyu GaoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, Rendong ZhangDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Bohan JiangDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA, Qi LiuCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, USA, Ken S LauCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
Vanderbilt Center for Mucosal Inflammation and Cancer, Vanderbilt University Medical Center, Nashville, TN, USA
Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, USA
Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, USA, Joseph T. RolandEpithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, USA, Mary K. WashingtonDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Lori A. CoburnVanderbilt Center for Mucosal Inflammation and Cancer, Vanderbilt University Medical Center, Nashville, TN, USA
Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, USA, Keith T. WilsonVanderbilt Center for Mucosal Inflammation and Cancer, Vanderbilt University Medical Center, Nashville, TN, USA
Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, USA
Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA, Yuankai HuoDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA, Bennett A. LandmanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
Department of Computer Science, Vanderbilt University, Nashville, TN, USA
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA

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

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

2026/03/27
MELBA–BVM 2025 Special Issue

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 cover file

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

2026/03/22
MELBA–BVM 2025 Special Issue

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 cover file

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

2026/03/13
MELBA–BVM 2025 Special Issue

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 cover file

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

2026/03/13
March 2026 issue

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

PDF · Code · arXiv

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

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

2026/03/12
MELBA–BVM 2025 Special Issue

Sweta BanerjeeFlensburg University of Applied Sciences, Germany et al.

Sweta BanerjeeFlensburg University of Applied Sciences, Germany, Viktoria WeissUniversity of Veterinary Medicine, Vienna, Austria, Taryn A. DonovanThe Schwarzman Animal Medical Center, New York, USA, Rutger H.J. FickDiffusely, Paris, France, Thomas ConradFreie Universität Berlin, Berlin, Germany, Jonas AmmelingTechnische Hochschule Ingolstadt, Ingolstadt, Germany, Nils PorscheFlensburg University of Applied Sciences, Germany, Robert KlopfleischFreie Universität Berlin, Berlin, Germany, Christopher C. KalteneckerMedical University of Vienna, Austria, Katharina BreiningerJulius-Maximilians-Universität Würzburg, Würzburg, Germany, Marc AubrevilleFlensburg University of Applied Sciences, Germany, Christof A. BertramUniversity of Veterinary Medicine, Vienna, Austria

PDF · Code · arXiv

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

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

2026/03/11
MELBA–BVM 2025 Special Issue

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

PDF · Code · arXiv

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

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

2026/02/17
MELBA–BVM 2025 Special Issue

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

PDF · Model · Video · arXiv

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

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

2026/02/16
February 2026 issue

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