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Journal of Medical Imaging (Bellingham, Wash.)|April 4, 2024
Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonizationXin Yu, Qi Yang, Yucheng Tang, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 5, 2024
First experimental evaluation of a high-resolution deep silicon photon-counting sensorRickard Brunskog, Mats Persson, Zihui Jin, et al.Journal of Medical Imaging (Bellingham, Wash.)|February 2, 2024
EIC Welcome: Embracing Innovation and Impact in Medical Imaging ResearchJournal of Medical Imaging (Bellingham, Wash.)|January 12, 2024
Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical ImagingJudy W Gichoya, Rui C Sá, Ronald M Summers, et al.Journal of Medical Imaging (Bellingham, Wash.)|September 2, 2024
Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning-based analysis of multi-parametric magnetic resonance imagingSunwoo Kwak, Hamed Akbari, Jose A Garcia, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 30, 2024
Use of reporting templates for chest radiographs in a coronavirus disease 2019 context: measuring concordance of radiologists with three international templatesSarah J Lewis, Jayden B Wells, Warren M Reed, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2024
Stain SAN: simultaneous augmentation and normalization for histopathology imagesTaebin Kim, Yao Li, Benjamin C Calhoun, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 15, 2024
Task-based assessment for neural networks: evaluating undersampled MRI reconstructions based on human observer signal detectionJoshua D Herman, Rachel E Roca, Alexandra G O'Neill, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 12, 2024
Improving radiological quantification of levator hiatus features with measures informed by statistical shape modelingVincenzia S Vargo, Megan R Routzong, Pamela A Moalli, et al.Journal of Medical Imaging (Bellingham, Wash.)|August 1, 2024
Transformation from hematoxylin-and-eosin staining to Ki-67 immunohistochemistry digital staining images using deep learning: experimental validation on the labeling indexCunyuan Ji, Kengo Oshima, Takumi Urata, et al.Pageof 152