MIDL 2025 special issue

https://doi.org/10.59275/j.melba.2026-2b22
Guest editors:
  • Lisa Koch, Ph.D., University of Bern and Bern University Hospital
  • Ronald M. Summers, MD, Ph.D., FSAR, FAIMBE, Radiology and Imaging Sciences, National Institutes of Health (NIH) Clinical Center
  • Chen Chen, Ph.D., the Department of Computer Science, University of Sheffield
  • Yan Zhuang, Ph.D., Department of Diagnostic, Molecular and Interventional Radiology, and Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai
6 papers
Knowledge-based anomaly detection for identifying network-induced shape artifacts cover file

Knowledge-based anomaly detection for identifying network-induced shape artifacts

2026/09/29
MIDL 2025 special issue

Rucha DeshpandeDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Tahsin RahmanDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Miguel LagoDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Adarsh SubbaswamyDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Jana G. DelfinoDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Ghada ZamzmiDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Elim ThompsonDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Aldo BadanoDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA, Seyed KahakiDivision of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, USA

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A Data-Interventional Framework for Auditing Privacy and Fairness in Generative Medical Imaging cover file

A Data-Interventional Framework for Auditing Privacy and Fairness in Generative Medical Imaging

2026/09/22
MIDL 2025 special issue

Mischa DombrowskiFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, DE, Bernhard KainzFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, DE
Imperial College London, London, UK

PDF · Code · arXiv
ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis cover file

ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis

2026/09/19
MIDL 2025 special issue

Tyler WardDepartment of Computer Science, University of Kentucky, Lexington, KY, USA, Abdullah ImranDepartment of Computer Science, University of Kentucky, Lexington, KY, USA

PDF · Code · Video
Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation cover file

Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation

2026/08/28
MIDL 2025 special issue

Manuel LauferInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany et al.

Manuel LauferInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany, Dominik MairhöferInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany, Malte SierenUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Hauke GerdesUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Fabio Leal dos ReisUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Arpad BischofUniversity Medical Center Schleswig-Holstein, Lübeck, Germany
IMAGE Information Systems Europe GmbH, Rostock, Germany, Thomas KästerPattern Recognition Company GmbH, Lübeck, Germany, Erhardt BarthInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany, Jörg BarkhausenUniversity Medical Center Schleswig-Holstein, Lübeck, Germany, Thomas MartinetzInstitute for Neuro- and Bioinformatics, University of Lübeck, Germany

PDF · Synthetic dataset · arXiv
Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction cover file

Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction

2026/08/27
MIDL 2025 special issue

Zhiyuan GaoElectrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, USA, Dominic YurkAsari AI, San Francisco, CA 94131, USA, Yaser S. Abu-MostafaElectrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, USA

PDF · Code · arXiv
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

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