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Journal of Medical Imaging (Bellingham, Wash.)|May 26, 2025
DECE-Net: a dual-path encoder network with contour enhancement for pneumonia lesion segmentationTianyang Wang, Xiumei Li, Ruyu Liu, et al.Journal of Medical Imaging (Bellingham, Wash.)|May 21, 2025
Dependence of observer task on conclusions drawn from in silico trials evaluating the performance of full-field digital mammography and digital breast tomosynthesisDan Li, Andrey Makeev, Stephen J GlickJournal of Medical Imaging (Bellingham, Wash.)|April 25, 2025
MD-SA2: optimizing Segment Anything 2 for multimodal, depth-aware brain tumor segmentation in sub-Saharan populationsBenjamin Li, Kai Ding, Dimah DeraJournal of Medical Imaging (Bellingham, Wash.)|April 25, 2025
Dimensionality reduction in 3D causal deep learning for neuroimage generation: an evaluation studyErik Y Ohara, Vibujithan Vigneshwaran, Raissa Souza, et al.Journal of Medical Imaging (Bellingham, Wash.)|April 30, 2025
Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammographyAstrid Van Camp, Henry C Woodruff, Lesley Cockmartin, et al.Journal of Medical Imaging (Bellingham, Wash.)|April 18, 2025
Comparative analysis of nnU-Net and Auto3Dseg for fat and fibroglandular tissue segmentation in MRIYasna Forghani, Rafaela Timóteo, Tiago Marques, et al.Journal of Medical Imaging (Bellingham, Wash.)|April 14, 2025
Correlation of objective image quality metrics with radiologists' diagnostic confidence depends on the clinical task performedMichelle C Pryde, James Rioux, Adela Elena Cora, et al.Journal of Medical Imaging (Bellingham, Wash.)|April 11, 2025
Acoustic reflector-enabled forward-viewing ultrasound image-guided accessYichuan Tang, Ashiqur Rahaman, Araceli B Gonzalez, et al.Journal of Medical Imaging (Bellingham, Wash.)|March 20, 2025
Ensemble of fine-tuned machine learning models for hysterectomy prediction in pregnant women using magnetic resonance imagesVishnu Vardhan Reddy Kanamata Reddy, Michael Villordon, Quyen N Do, et al.Journal of Medical Imaging (Bellingham, Wash.)|March 17, 2025
Using a fully automated, quantitative fissure integrity score extracted from chest CT scans of emphysema patients to predict endobronchial valve responseDallas K Tada, Grace H Kim, Jonathan G Goldin, et al.Pageof 152