MELBA – Publications

All publications

- December 2020 issue

Volume 2026

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

20 papers

Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation when Learning with Partially Labelled Data from Multiple Domains cover file

Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation when Learning with Partially Labelled Data from Multiple Domains

2026/07/02
July 2026 issue

Iman IslamSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Bram RuijsinkSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Esther Puyol-AntónSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Andrew J. ReaderSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Andrew P. KingSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK

Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings cover file

Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings

2026/07/02
MELBA–BVM 2025 Special Issue

Chengze YePattern Recognition Lab, FAU Erlangen-Nürnberg, Linda-Sophie SchneiderPattern Recognition Lab, FAU Erlangen-Nürnberg, Yipeng SunPattern Recognition Lab, FAU Erlangen-Nürnberg, Mareike ThiesPattern Recognition Lab, FAU Erlangen-Nürnberg, Siyuan MeiPattern Recognition Lab, FAU Erlangen-Nürnberg, Paula Andrea Pérez-ToroPattern Recognition Lab, FAU Erlangen-Nürnberg, Siming BayerPattern Recognition Lab, FAU Erlangen-Nürnberg, Andreas MaierPattern Recognition Lab, FAU Erlangen-Nürnberg

Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation cover file

Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation

2026/07/01
July 2026 issue

Vladyslav ZalevskyiDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Equal contribution et al.

Vladyslav ZalevskyiDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Equal contribution, Thomas SanchezDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Equal contribution, Margaux RouletDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Busra BulutDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Hélène LajousDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Jordina Aviles VerderaInstitute for Information Processing, Leibniz University Hannover, Hannover, Germany
Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, Sara Neves SilvaDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, Georg LangsDepartment of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab (CIR), Medical University of Vienna, Vienna, Austria
Christian Doppler Laboratory for Mathematical Modelling and Simulation of Next-Generation Medical Ultrasound Devices, Medical University of Vienna, Vienna, Austria
Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria, Gregor KasprianChristian Doppler Laboratory for Mathematical Modelling and Simulation of Next-Generation Medical Ultrasound Devices, Medical University of Vienna, Vienna, Austria
Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image–guided Therapy, Medical University of Vienna, Vienna, Austria, Roxane LicandroDepartment of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab (CIR), Medical University of Vienna, Vienna, Austria
Christian Doppler Laboratory for Mathematical Modelling and Simulation of Next-Generation Medical Ultrasound Devices, Medical University of Vienna, Vienna, Austria
Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria, Jana HutterInstitute for Information Processing, Leibniz University Hannover, Hannover, Germany
Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, Hamza KebiriDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland, Meritxell Bach CuadraDepartment of Radiology, Lausanne University Hospital and University of Lausanne (UNIL), Lausanne, Switzerland
CIBM Center for Biomedical Imaging, Lausanne, Switzerland

Sequence models for continuous cell cycle stage prediction from brightfield images cover file

Sequence models for continuous cell cycle stage prediction from brightfield images

2026/07/01
MIDL 2025 special issue

Andrea SalatiInstitute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland, Louis-Alexandre LegerInstitute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland, Maxine LeonardiInstitute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland, Martin WeigertInstitute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
ScaDS.AI, Dresden/Leipzig, Germany
TUD Dresden University of Technology, Felix NaefInstitute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland

Deep Spectral Models for Robust Dental Shape Generation cover file

Deep Spectral Models for Robust Dental Shape Generation

2026/06/29
IPMI 2025 special issue

Tibor Kubı́kPolytechnique Montréal, Montréal, Canada
Brno University of Technology, Brno, Czech Republic, François GuibaultPolytechnique Montréal, Montréal, Canada, Michal ŠpanělBrno University of Technology, Brno, Czech Republic, Hervé LombaertPolytechnique Montréal, Montréal, Canada

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans cover file

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans

2026/06/15
June 2026 issue

Theo Di PiazzaINSA Lyon, University of Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France
Hospices Civil de Lyon, Lyon, France, Carole LazarusPhilips Clinical Informatics, Innovation Paris, France, Olivier NempontPhilips Clinical Informatics, Innovation Paris, France, Loic BousselINSA Lyon, University of Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France
Hospices Civil de Lyon, Lyon, France

PDF · Code · HAL · Model weights · Video · arXiv

Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation cover file

Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation

2026/06/14
June 2026 issue

Jimut B. PalCentre for Machine Intelligence and Data Science (C-MInDS), Indian Institute of Technology (IIT) Bombay, Mumbai, Suyash P. AwateCentre for Machine Intelligence and Data Science (C-MInDS), Indian Institute of Technology (IIT) Bombay, Mumbai
Computer Science and Engineering (CSE) Department, Indian Institute of Technology (IIT) Bombay, Mumbai

PDF · Video · arXiv

Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRI cover file

Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRI

2026/06/05
June 2026 issue

Diego Fajardo-RojasEarly Life Imaging department, King’s College London, London, UK
Biomedical Computing department, King’s College London, London, UK, Megan HallEarly Life Imaging department, King’s College London, London, UK
Women’s Health department, School of Life Course and Population Sciences, King’s College London, London, UK, Daniel CrombEarly Life Imaging department, King’s College London, London, UK, Mary A. RutherfordEarly Life Imaging department, King’s College London, London, UK, Lisa StoryEarly Life Imaging department, King’s College London, London, UK
Women’s Health department, School of Life Course and Population Sciences, King’s College London, London, UK, Emma RobinsonBiomedical Computing department, King’s College London, London, UK, Jana HutterInstitute for Information Processing, Leibniz University Hannover, Hannover, Germany
Early Life Imaging department, King’s College London, London, UK

PDF · Code · arXiv

Generalized TV–ℓp Structured Priors for Bayesian T1 Mapping cover file

Generalized TV–ℓp Structured Priors for Bayesian T1 Mapping

2026/06/01
UNSURE2025 special issue

Disi LinDepartment of Computing Science, Umeå University, Sweden, Martin BerggrenDepartment of Computing Science, Umeå University, Sweden, Tommy LöfstedtDepartment of Computing Science, Umeå University, Sweden

PDF · Code · arXiv

Effect of Demographic Bias on Skin Lesion Classification cover file

Effect of Demographic Bias on Skin Lesion Classification

2026/05/29
Special issue on FAIMI

Ralf RaumannsFontys University of Applied Science, Venlo, The Netherlands
Eindhoven University of Technology, Eindhoven, The Netherlands
IT University of Copenhagen, Denmark, Gerard SchoutenFontys University of Applied Science, Eindhoven, The Netherlands, Veronika CheplyginaIT University of Copenhagen, Denmark, Josien P.W. PluimEindhoven University of Technology, Eindhoven, The Netherlands

PDF · Code · arXiv

Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework cover file

Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework

2026/05/22
May 2026 issue

Sarah de BoerDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands et al.

Sarah de BoerDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands, Hartmut HäntzeDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands
Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, Kiran Vaidhya VenkadeshDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands, Myrthe A. D. BuserDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands, Gabriel E. Humpire MamaniDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands, Lina XuDepartment of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, Lisa C. AdamsDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany, Jawed NawabiDepartment of Neuroradiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, Keno K. BressemDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany
Department of Cardiovascular Radiology and Nuclear Medicine, German Heart Center, TUM University Hospital, Technical University of Munich, Munich, Germany, Bram van GinnekenDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands
Fraunhofer MEVIS, Bremen, Germany, Mathias ProkopDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands, Alessa HeringDepartment of Medical Imaging, Radboudumc, Nijmegen, The Netherlands

PDF · Code · arXiv

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