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Medical Image Analysis|November 4, 2018
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRIFlorian Dubost, Hieab Adams, Gerda Bortsova, et al.
Medical Image Analysis|December 22, 2021
W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform dataGautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, et al.
Medical Image Analysis|December 10, 2021
Physics-aware learning and domain-specific loss design in ophthalmologyHendrik Burwinkel, Holger Matz, Stefan Saur, et al.
Medical Image Analysis|December 15, 2021
Federated learning for computational pathology on gigapixel whole slide imagesMing Y Lu, Richard J Chen, Dehan Kong, et al.
Medical Image Analysis|November 3, 2021
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementiaDaniele Ravi, Stefano B Blumberg, Silvia Ingala, et al.
Medical Image Analysis|November 3, 2021
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertaintyAmelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, et al.
Medical Image Analysis|November 3, 2021
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matchingXiangde Luo, Tao Song, Guotai Wang, et al.
Medical Image Analysis|November 10, 2021
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomographyBo Zhou, Xiongchao Chen, S Kevin Zhou, et al.
Medical Image Analysis|July 20, 2019
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findingsYigal Shenkman, Bilal Qutteineh, Leo Joskowicz, et al.
Medical Image Analysis|July 21, 2019
Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound imagesDavood Karimi, Qi Zeng, Prateek Mathur, et al.
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