Volume 2026

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

48 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 DeshpandedDivision 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 RahmandDivision 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 LagodDivision 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 SubbaswamydDivision 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. DelfinodDivision 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 ZamzmidDivision 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 ThompsondDivision 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 BadanodDivision 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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Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification cover file

Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification

2026/09/28
UNSURE2025 special issue

Gonzalo Esteban Mosquera RojasDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands, Sebastian R. van der VoortDepartment of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands, Carolin M. PirklGE HealthCare, Munich, Germany, Sandeep KaushikGE HealthCare, USA, Marion SmitsDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
Brain tumor Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
Medical Delta, Delft, the Netherlands, Stefan KleinDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands

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Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hippocampal Segmentation cover file

Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hippocampal Segmentation

2026/09/24
UNSURE2025 special issue

Gabriel Oliveira-StahlHawkes Institute, Department of Computer Science, University College London, UK
Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK, Anna SchroderHawkes Institute, Department of Computer Science, University College London, UK
Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK, James MoggridgeLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, UK, Hamza A. SalhabLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK, Caroline MicallefLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK, Josephine BarnesDementia Research Centre, University College London, UK, M. Jorge CardosoSchool of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Carole H. Sudre*Hawkes Institute, Department of Computer Science, University College London, UK
Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, UK
School of Biomedical Engineering & Imaging Sciences, King’s College London, UK, Matthew Grech-Sollars*Hawkes Institute, Department of Computer Science, University College London, UK
Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK

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M-FIQ: Mobile Fundus Image Quality Assessment Dataset for Teleophthalmology Screening cover file

M-FIQ: Mobile Fundus Image Quality Assessment Dataset for Teleophthalmology Screening

2026/09/21
Special Issue on MICCAI Open Data 2026

João M. M. MoreiraApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil
Postgraduate Program in Computer Science (PPGCC), Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil et al.

João M. M. MoreiraApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil
Postgraduate Program in Computer Science (PPGCC), Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil, João D. S. AlmeidaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Elaine P. F. CostaSchool of Medicine Coordination, Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil, Jhones S. SoaresApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Luı́s F. R. PereiraApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil
Postgraduate Program in Computer Science (PPGCC), Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil, Emily G. C. RibeiroApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Amanda S. AlmeidaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Iaze G. S. C. SantosApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Aristófanes C. SilvaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Darlan B. P. QuintanilhaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Anselmo C. PaivaApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Geraldo B. JuniorApplied Computing Group (NCA), Federal University of Maranhão, P.O. Box 65.080-805, São Luı́s, MA, Brazil, Marcos A. G. CamposSchool of Medicine Coordination, Federal University of Maranhão,P.O. Box 65.080-805, São Luı́s, MA, Brazil

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The Indian Mammography DataBase (IMDB): A Versioned Open Mammography Resource from a Screening-Naive Indian Population for Artificial Intelligence Research cover file

The Indian Mammography DataBase (IMDB): A Versioned Open Mammography Resource from a Screening-Naive Indian Population for Artificial Intelligence Research

2026/09/21
Special Issue on MICCAI Open Data 2026

Om Shivom NagpalDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi et al.

Om Shivom NagpalDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Varun HollaDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Kushagra ChaturvediDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Sathish RDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Aditi MadameDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Ashish RastogiDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Vipin ThampiDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Hema MalhotraDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Pushp LochanDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Mayank BharadwajDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Kshitiz JainDepartment of Computer Science and Engineering, Indian Institute of Technology (IIT), New Delhi, Chetan AroraDepartment of Computer Science and Engineering, Indian Institute of Technology (IIT), New Delhi, Debnath PalDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Sanjay ThulkarDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Smriti HariDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Tanmaya VyasDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Nishant ChavanDepartment of Computational and Data Sciences, Indian Institute of Science (IISc), Bengaluru, Amit GuptaDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Krithika RangarajanDepartment of Oncoradiology, All India Institute of Medical Sciences (AIIMS), New Delhi

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SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis cover file

SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis

2026/09/21
Special Issue on MICCAI Open Data 2026

Niyoj OliNepal Applied Mathematics and Informatics Institute for Research, Nepal et al.

Niyoj OliNepal Applied Mathematics and Informatics Institute for Research, Nepal, Sachin AcharyaNepal Applied Mathematics and Informatics Institute for Research, Nepal, Sandesh PokhrelNepal Applied Mathematics and Informatics Institute for Research, Nepal
University of Utah, USA, Sanjay BhandariNepal Applied Mathematics and Informatics Institute for Research, Nepal
University of Utah, USA, Ramesh RanaGastrointestinal Department, Dhulikhel Hospital, Nepal, Nikesh Mani ShresthaGastrointestinal Department, Dhulikhel Hospital, Nepal, Ram Bahadur GurungGastrointestinal Department, Dhulikhel Hospital, Nepal, Yash Raj ShresthaUniversity of Lausanne, Switzerland, Prashnna K GyawaliUniversity of West Virginia, USA, Binod BhattaraiNepal Applied Mathematics and Informatics Institute for Research, Nepal
University of Aberdeen, UK

PDF · Code · Dataset
Multilingual Hematology Visual Question Answering Dataset cover file

Multilingual Hematology Visual Question Answering Dataset

2026/09/21
Special Issue on MICCAI Open Data 2026

Hajra MalikInformation Technology University, Lahore, Hafiza Tooba AftabKing Edward Medical University, Lahore, Abdul RehmanInformation Technology University, Lahore, Mohsen AliInformation Technology University, Lahore, Waqas SultaniInformation Technology University, Lahore

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Spinal-Multiple-Myeloma-SEG: A Dual-Energy CT Dataset Extended with Trabecular Bone Segmentation of Lumbar Vertebrae cover file

Spinal-Multiple-Myeloma-SEG: A Dual-Energy CT Dataset Extended with Trabecular Bone Segmentation of Lumbar Vertebrae

2026/09/21
Special Issue on MICCAI Open Data 2026

Michal NohelDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
Department of Deputy Director for Science and Research, University Hospital & Faculty of Medicine, Ostrava, Czech Republic, Vlastimil ValekDepartment of Radiology and Nuclear Medicine, University Hospital Brno, Brno, Czech Republic
Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno, Czech Republic, Katerina KrejciDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic, Roman JakubicekDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic, Marek DostalDepartment of Radiology and Nuclear Medicine, University Hospital Brno, Brno, Czech Republic
Department of Biophysics, Masaryk University, Brno, Czech Republic, Jiri ChmelikDepartment of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic

PDF · Dataset extension · Original dataset
A clinical brain MRI dataset of polymicrogyria in patients suspected of epilepsy cover file

A clinical brain MRI dataset of polymicrogyria in patients suspected of epilepsy

2026/09/21
Special Issue on MICCAI Open Data 2026

Llucia CollNeurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark, Abdullah ShafiqueDepartment of Radiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark, Helene KaasNeurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Epilepsy Clinic, Department of Neurology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark, Martin PrenerNeurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Epilepsy Clinic, Department of Neurology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark, Lars Hageman PinborgNeurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Epilepsy Clinic, Department of Neurology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark
Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark, Gitte Moos KnudsenNeurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark, Melanie GanzNeurobiology Research Unit, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

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GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels cover file

GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels

2026/09/21
Special Issue on MICCAI Open Data 2026

Xingyu XiangSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
Research Center for Intelligent Medical Equipment and Devices (IMED), Xi’an Jiaotong University, Xi’an 710049, China, Shuang HaoKey Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
Research Center for Intelligent Medical Equipment and Devices (IMED), Xi’an Jiaotong University, Xi’an 710049, China, Fan WangKey Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
Research Center for Intelligent Medical Equipment and Devices (IMED), Xi’an Jiaotong University, Xi’an 710049, China, Jianhua MaKey Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
Research Center for Intelligent Medical Equipment and Devices (IMED), Xi’an Jiaotong University, Xi’an 710049, China, Chunfeng LianSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
Research Center for Intelligent Medical Equipment and Devices (IMED), Xi’an Jiaotong University, Xi’an 710049, China

PDF · Code · Dataset
PRECISE: Benchmarking digital pathology with expert-annotated contiguous IHC–H&E serial prostate sections cover file

PRECISE: Benchmarking digital pathology with expert-annotated contiguous IHC–H&E serial prostate sections

2026/09/21
Special Issue on MICCAI Open Data 2026

Adriana K. Calapaquı́ TeránDepartment of Pathology, University Hospital “Marqués de Valdecilla”, Santander, Spain
Servicio Cántabro de Salud, Santander, Spain
Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, Spain, Abel A. González BernadInstituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, Spain
Siali Technologies, SL, Santander, Spain, Miriam Cobo CanoGrupo de Computación Avanzada y e-Ciencia, Instituto de Fı́sica de Cantabria (UC-CSIC), Santander, Spain, Lucı́a Sánchez MagdalenoDepartment of Pathology, University Hospital “Marqués de Valdecilla”, Santander, Spain, Sara Marcos GonzálezDepartment of Pathology, University Hospital “Marqués de Valdecilla”, Santander, Spain
Servicio Cántabro de Salud, Santander, Spain
Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, Spain, Roberto Carlos Delgado BoltonServicio Cántabro de Salud, Santander, Spain, Jaled Moustafá CalvoSiali Technologies, SL, Santander, Spain, José Javier Gómez RománDepartment of Pathology, University Hospital “Marqués de Valdecilla”, Santander, Spain
Servicio Cántabro de Salud, Santander, Spain
Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, Spain
Universidad de Cantabria, Santander, Spain, Lara Lloret IglesiasGrupo de Computación Avanzada y e-Ciencia, Instituto de Fı́sica de Cantabria (UC-CSIC), Santander, Spain

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GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology cover file

GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology

2026/09/21
Special Issue on MICCAI Open Data 2026

Mojgan ForootanShahid Beheshti University of Medical Sciences, Tehran, Iran, Mahziar SetayeshfarIran University of Medical Sciences, Tehran, Iran, Ali DarvishiShiraz University of Medical Sciences, Shiraz, Iran, Mohammad TashakoripourTehran University of Medical Sciences, Tehran, Iran, Hamidreza BolhasaniDataBioX Research, Tehran, Iran

PDF · Dataset
Scent of Health (S-OH): Olfactory Multivariate Time Series Dataset for Non-Invasive Disease Screening cover file

Scent of Health (S-OH): Olfactory Multivariate Time Series Dataset for Non-Invasive Disease Screening

2026/09/21
Special Issue on MICCAI Open Data 2026

Ivan PoddiakovSber AI Lab, Moscow, Russia, Ivan KruzhilovMoscow Power Engineering Institute, Moscow, Russia, Galina ZubkovaSber AI Lab, Moscow, Russia, Svetlana ErofeevaMoscow Regional Research and Clinical Institute (MONIKI), Moscow, Russia, Andrey SavchenkoSber AI Lab, Moscow, Russia
National Research University Higher School of Economics, Nizhny Novgorod, Russia, Pavel BlinovSQB AI, Tashkent, Uzbekistan

PDF · Dataset
TRACE: Tissue and Report Atlas of Computational Embeddings cover file

TRACE: Tissue and Report Atlas of Computational Embeddings

2026/09/21
Special Issue on MICCAI Open Data 2026

Siddhesh ThakurDivision of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, USA, Sanket KacholeDivision of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, USA, Spyridon BakasDivision of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, USA
Departments of Biostatistics and Health Data Science; Radiology and Imaging Sciences; Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN, USA
Department of Computer Science, Luddy School of Informatics, Computing, and Engineering, Indiana University, Indianapolis, IN, USA

PDF · Dataset
A multi-site loiasis dataset of whole blood videos cover file

A multi-site loiasis dataset of whole blood videos

2026/09/21
Special Issue on MICCAI Open Data 2026

Linda Djune-YemeliHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon et al.

Linda Djune-YemeliHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon, Rella Zoleko-ManegoCentre de Recherches Médicale de Lambaréné, Gabon (CERMEL), Charles B. DelahuntUniversity of Washington, Seattle, Washington
Formerly at Global Health Labs, Inc, Bellevue, Washington (ceased operations in 2025), Donald F. FankamHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon, Yannick Y. NzeuhangHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon, Jean G. BopdaHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon, Mbakam S. LaetitiaHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon, Yves A. BalogHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon, Steve M. TchanaHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon, Ghyslain Mombo-NgomaCentre de Recherches Médicale de Lambaréné, Gabon (CERMEL)
Center for Tropical Medicine Bernhard Nocht Institute for Tropical Medicine & Dept. of Medicine University Medical Center Hamburg-Eppendorf (BNITM), Michael RamharterCentre de Recherches Médicale de Lambaréné, Gabon (CERMEL)
Center for Tropical Medicine Bernhard Nocht Institute for Tropical Medicine & Dept. of Medicine University Medical Center Hamburg-Eppendorf (BNITM)
German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Riems, Maria Diaz de Leon DerbyDepartment of Bioengineering, University of California, Berkeley, Berkeley, California, Zaina L. MoussaDepartment of Bioengineering, University of California, Berkeley, Berkeley, California, Ethan SpencerFormerly at Global Health Labs, Inc, Bellevue, Washington (ceased operations in 2025), Dipayan BanikFormerly at Global Health Labs, Inc, Bellevue, Washington (ceased operations in 2025), Matthew D. KellerFormerly at Global Health Labs, Inc, Bellevue, Washington (ceased operations in 2025), Karla N. FisherDivision of General Internal Medicine, Toronto General Hospital, University Health Network, Toronto, Canada
Division of Infectious Diseases, Toronto General Hospital, University Health Network, Toronto, Canada, Daniel A. FletcherDepartment of Bioengineering, University of California, Berkeley, Berkeley, California, Isaac I. BogochDivision of General Internal Medicine, Toronto General Hospital, University Health Network, Toronto, Canada
Division of Infectious Diseases, Toronto General Hospital, University Health Network, Toronto, Canada
Department of Medicine, University of Toronto, Toronto, Canada, Anne-Laure Le NyFormerly at Global Health Labs, Inc, Bellevue, Washington (ceased operations in 2025), Saskia Deda DavidCentre de Recherches Médicale de Lambaréné, Gabon (CERMEL)
Center for Tropical Medicine Bernhard Nocht Institute for Tropical Medicine & Dept. of Medicine University Medical Center Hamburg-Eppendorf (BNITM), Joseph KamgnoHigher Institute for Scientific and Medical Research (ISM), Yoaoundé, Cameroon

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RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging Research cover file

RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging Research

2026/09/21
Special Issue on MICCAI Open Data 2026

Sarah de BoerRadboudumc, Department of Medical Imaging, Nijmegen, The Netherlands, Hartmut HäntzeRadboudumc, Department of Medical Imaging, Nijmegen, The Netherlands
Charité - Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany, Sebastian ZiegelmayerKlinikum rechts der Isar, Department of Diagnostic and interventional Radiology, TUM University Hospital, Technical University of Munich, Munich, Germany, Tommaso RussoRadboudumc, Department of Medical Imaging, Nijmegen, The Netherlands
San Raffaele University, Milan, Italy, Bram van GinnekenRadboudumc, Department of Medical Imaging, Nijmegen, The Netherlands
Fraunhofer MEVIS, Bremen, Germany, Mathias ProkopRadboudumc, Department of Medical Imaging, Nijmegen, The Netherlands, Keno BressemKlinikum rechts der Isar, Department of Diagnostic and interventional Radiology, TUM University Hospital, Technical University of Munich, Munich, Germany
German Heart Center, Department of Cardiovascular Radiology and Nuclear Medicine, TUM University Hospital, Technical University of Munich, Munich, Germany, Alessa HeringRadboudumc, Department of Medical Imaging, Nijmegen, The Netherlands

PDF · Dataset
CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking cover file

CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking

2026/09/21
Special Issue on MICCAI Open Data 2026

Alexandre G. LeclerqArtificial Intelligence Department, Centre François Baclesse, 14000 Caen, France
Université de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Université Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France et al.

Alexandre G. LeclerqArtificial Intelligence Department, Centre François Baclesse, 14000 Caen, France
Université de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Université Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France, Noémie N. MoreauArtificial Intelligence Department, Centre François Baclesse, 14000 Caen, France
Université de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France, Hugo AudebertRadiation Oncology Department, Centre François Baclesse, 14000 Caen, France, Andros NassarRadiation Oncology Department, Centre François Baclesse, 14000 Caen, France, Thomas CochinUniversité de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Radiation Oncology Department, Centre François Baclesse, 14000 Caen, France, Thomas LeleuUniversité de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Radiation Oncology Department, Centre François Baclesse, 14000 Caen, France, Loı̈c Le HenaffUniversité de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Radiology Department, Centre François Baclesse, 14000 Caen, France, Alexis DesmontsArtificial Intelligence Department, Centre François Baclesse, 14000 Caen, France
Université de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Medical Physics Department, Centre François Baclesse, 14000 Caen, France, Yoann PoirierRadiology Department, Centre François Baclesse, 14000 Caen, France, Aurélie DubruRadiology Department, Centre François Baclesse, 14000 Caen, France, Laura GuillemetteMedical Physics Department, Centre François Baclesse, 14000 Caen, France, Pascal LecoeurMedical Physics Department, Centre François Baclesse, 14000 Caen, France, Kévin LemassonMedical Physics Department, Centre François Baclesse, 14000 Caen, France, Cyril JaudetMedical Physics Department, Centre François Baclesse, 14000 Caen, France, Sébastien BougleuxUniversité Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France, Romain HéraultUniversité Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France, Carole BrunaudUniversité de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France, Samuel ValableUniversité de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France, Dinu StefanRadiation Oncology Department, Centre François Baclesse, 14000 Caen, France, Charlotte RaboutetUniversité de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Radiology Department, Centre François Baclesse, 14000 Caen, France, Alain BatallaMedical Physics Department, Centre François Baclesse, 14000 Caen, France, Joëlle LacroixRadiology Department, Centre François Baclesse, 14000 Caen, France, Roman RouzierSurgery Department, Centre François Baclesse, 14000 Caen, France, Aurélien Corroyer-DulmontArtificial Intelligence Department, Centre François Baclesse, 14000 Caen, France
Université de Caen Normandie, CNRS, Normandie Univ, ISTCT UMR6030, CYCERON, F-14000 Caen, France
Medical Physics Department, Centre François Baclesse, 14000 Caen, France

PDF · Dataset
A Histopathological Image Dataset for Oral Squamous Cell Carcinoma and Normal Tissue Analysis cover file

A Histopathological Image Dataset for Oral Squamous Cell Carcinoma and Normal Tissue Analysis

2026/09/21
Special Issue on MICCAI Open Data 2026

Salma BahaaOral Pathology, Faculty of Dentistry, Alexandria University, Egypt Champollion, Elazarita, 21563, Egypt

PDF · Dataset
CT-Bench: A Comprehensive Benchmark for Multimodal AI in Computed Tomography Analysis cover file

CT-Bench: A Comprehensive Benchmark for Multimodal AI in Computed Tomography Analysis

2026/09/21
Special Issue on MICCAI Open Data 2026

Qingqing ZhuNational Institutes of Health, Bethesda, MD, USA et al.

Qingqing ZhuNational Institutes of Health, Bethesda, MD, USA, Qiao JinNational Institutes of Health, Bethesda, MD, USA, Tejas S. MathaiNational Institutes of Health, Bethesda, MD, USA, Yin FangNational Institutes of Health, Bethesda, MD, USA, Zhizheng WangNational Institutes of Health, Bethesda, MD, USA, Yifan YangNational Institutes of Health, Bethesda, MD, USA, Maame Sarfo-GyamfiNational Institutes of Health, Bethesda, MD, USA
Howard University College of Medicine, Washington, D.C., USA, Benjamin HouNational Institutes of Health, Bethesda, MD, USA, Ran GuNational Institutes of Health, Bethesda, MD, USA, Praveen T. S. BalamuralikrishnaNational Institutes of Health, Bethesda, MD, USA, Kenneth C. WangRadiology, U.S. Department of Veterans Affairs, USA, Ronald M. SummersNational Institutes of Health, Bethesda, MD, USA, Zhiyong LuNational Institutes of Health, Bethesda, MD, USA

PDF · Dataset
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
Geodesic-informed Generative Diffusion Model For Topology-preserved Image Video Generation cover file

Geodesic-informed Generative Diffusion Model For Topology-preserved Image Video Generation

2026/08/30
IPMI 2025 special issue

Nian WuDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA, Nivetha JayakumarDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA, Jiarui XingSchool of Medicine, Yale University, New Haven, CT, USA, Miaomiao ZhangDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA
Department of Computer Science, University of Virginia, Charlottesville, VA, USA

PDF · Code · arXiv
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction cover file

Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction

2026/08/29
August 2026 issue

Andrew WangInstitute for Imaging, Data and Communications, School of Engineering, University of Edinburgh, Steven McDonaghInstitute for Imaging, Data and Communications, School of Engineering, University of Edinburgh, Mike DaviesInstitute for Imaging, Data and Communications, School of Engineering, University of Edinburgh

PDF · Code · Video · arXiv
The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification cover file

The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification

2026/08/28
August 2026 issue

Olivier BernardINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Institut Universitaire de France (IUF), France et al.

Olivier BernardINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Institut Universitaire de France (IUF), France, William A. Romero R.INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Cyprien BoutonINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Celia GoujatINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Hang Jung LingINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Pierre-Marc JodoinDepartment of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada, Fumin GuoWuhan National Library of Optoelectronics, Huazhong University of Science and Technology, Wuhan, China, Calder SheagrenSunnybrook Research Institute, University of Toronto, Toronto, Canada, Graham WrightSunnybrook Research Institute, University of Toronto, Toronto, Canada, Abdul QayyumNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom, Moona MazherCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, Steven A. NiedererNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom, Hairui WangCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, Xiaomei WuFudan University, Shanghai, 200433, China, Franz ThalerGottfried Schatz Research Center: Medical Physics and Biophysics, Medical University of Graz, Graz, Austria
Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, Gernot PlankGottfried Schatz Research Center: Medical Physics and Biophysics, Medical University of Graz, Graz, Austria, Martin UrschlerInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria, Ricardo M. RosalesInstituto de Investigación en Ingenierı́a de Aragón, Universidad de Zaragoza; Instituto de Investigación Sanitaria de Aragón (IIS Aragón); CIBER-BBN, Zaragoza, Aragón, Spain, Esther PueyoInstituto de Investigación en Ingenierı́a de Aragón, Universidad de Zaragoza; Instituto de Investigación Sanitaria de Aragón (IIS Aragón); CIBER-BBN, Zaragoza, Aragón, Spain, Nicolas DuchateauINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Institut Universitaire de France (IUF), France, Frederic CervenanskyINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Patrick ClarysseINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France, Loic BelleCentre Hospitalier Annecy Genevois, France, Thomas BochatonHôpital Universitaire Cardiologique Louis Pradel, Bron, France
CarMeN INSERM U1060, Universite Claude Bernard Lyon 1, Lyon, France, Nathan MewtonHôpital Universitaire Cardiologique Louis Pradel, Bron, France
CarMeN INSERM U1060, Universite Claude Bernard Lyon 1, Lyon, France, Magalie ViallonINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Hôpital Universitaire de Saint-Etienne, Saint-Etienne, France, Pierre CroisilleINSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-42023, Saint Etienne, France
Hôpital Universitaire de Saint-Etienne, Saint-Etienne, France

PDF · arXiv
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
Depth to Anatomy: Organ Localization from Depth Images for Automated Patient Table Positioning in Radiology Workflow cover file

Depth to Anatomy: Organ Localization from Depth Images for Automated Patient Table Positioning in Radiology Workflow

2026/07/22
MELBA–BVM 2025 Special Issue

Eytan KatsInstitute of Medical Informatics, University of Luebeck, Luebeck, Germany, Kai GeisslerFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, Jochen G. HirschFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, Daniel MensingFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, Julien SenegasPhilips Research, Hamburg, Germany, Stefan HeldmanFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, Mattias P. HeinrichInstitute of Medical Informatics, University of Luebeck, Luebeck, Germany

PDF · Code · arXiv
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

PDF · arXiv
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

PDF · arXiv
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

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

PDF
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

PDF · arXiv
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

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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

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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

PDF · arXiv
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

PDF · arXiv
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

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GazeLT: Visual attention–guided long-tailed disease classification in chest radiographs cover file

GazeLT: Visual attention–guided long-tailed disease classification in chest radiographs

2026/02/02
February 2026 issue

Moinak BhattacharyaDepartment of Biomedical Informatics, Stony Brook University, NY, US, 11790, Gagandeep SinghDepartment of Radiology, Columbia University, NY, US, 10027, Shubham JainDepartment of Computer Science, Stony Brook University, NY, US, 11790, Prateek PrasannaDepartment of Biomedical Informatics, Stony Brook University, NY, US, 11790

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Benchmarking Foundation Models for Mitotic Figure Classification cover file

Benchmarking Foundation Models for Mitotic Figure Classification

2026/01/30
MELBA–BVM 2025 Special Issue

Jonas AmmelingTechnische Hochschule Ingolstadt, AImotion, Ingolstadt, DE, Jonathan GanzMIRA vision Microscopy GmbH, Göppingen, DE
Technische Hochschule Ingolstadt, AImotion, Ingolstadt, DE, Emely RosbachTechnische Hochschule Ingolstadt, AImotion, Ingolstadt, DE, Ludwig LausserTechnische Hochschule Ingolstadt, AImotion, Ingolstadt, DE, Christof A. BertramUniversity of Veterinary Medicine, Institute of Pathology, Vienna, AU, Katharina BreiningerCenter for AI and Data Science, Julius-Maximilians-Universität Würzburg, Würzburg, DE
Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, DE, Marc AubrevilleFlensburg University of Applied Sciences, Flensburg, DE

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