Volume 2026

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

10 papers


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

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