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Journal of Medical Imaging (Bellingham, Wash.)|October 7, 2024
Optimizing mammography interpretation education: leveraging deep learning for cohort-specific error detection to enhance radiologist trainingXuetong Tao, Warren M Reed, Tong Li, et al.Journal of Medical Imaging (Bellingham, Wash.)|October 10, 2024
Augmented and virtual reality imaging for collaborative planning of structural cardiovascular interventions: a proof-of-concept and validation studyXander Jacquemyn, Kobe Bamps, Ruben Moermans, et al.Journal of Medical Imaging (Bellingham, Wash.)|October 31, 2024
Demystifying the effect of receptive field size in U-Net models for medical image segmentationVincent Loos, Rohit Pardasani, Navchetan AwasthiJournal of Medical Imaging (Bellingham, Wash.)|October 17, 2024
Automated assessment of task-based performance of digital mammography and tomosynthesis systems using an anthropomorphic breast phantom and deep learning-based scoringAndrey Makeev, Kaiyan Li, Mark A Anastasio, et al.Journal of Medical Imaging (Bellingham, Wash.)|October 17, 2024
Contrast-to-noise ratio comparison between X-ray fluorescence emission tomography and computed tomographyHadley DeBrosse, Giavanna Jadick, Ling Jian Meng, et al.Journal of Medical Imaging (Bellingham, Wash.)|October 25, 2024
Expanding generalized contrast-to-noise ratio into a clinically relevant measure of lesion detectability by considering size and spatial resolutionSiegfried Schlunk, Brett ByramJournal of Medical Imaging (Bellingham, Wash.)|October 30, 2024
ChatGP-Me?Elias Levy, Bennett LandmanJournal of Medical Imaging (Bellingham, Wash.)|May 24, 2023
Signals of global symmetry are important for abnormality detection in mammogramsCameron Kyle-Davidson, Lyndon L Rakusen, Emma Raat, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 20, 2026
Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotationsSofija Engelson, Yannic Elser, Malte Maria Sieren, et al.Journal of Medical Imaging (Bellingham, Wash.)|March 23, 2026
Synthesizing breast cancer ultrasound images from healthy samples using latent diffusion modelsYannuo Wen, Kathleen M Curran, Xinzhu Wang, et al.Pageof 152