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https://bcn-aim.org/publications/deep-learning-techniques-for-automatic-mri-cardiac-multi-structures-segmentation-and-diagnosis-is-the-problem-solved/ 2026-05-29T11:54:40+00:00 https://bcn-aim.org/publications/automated-sub-cortical-brain-structure-segmentation-combining-spatial-and-deep-convolutional-features/ 2026-05-29T11:56:12+00:00 https://bcn-aim.org/publications/learning-to-combine-complementary-segmentation-methods-for-fetal-and-6-month-infant-brain-mri-segmentation/ 2026-05-29T11:57:08+00:00 https://bcn-aim.org/publications/automatic-mass-detection-in-mammograms-using-deep-convolutional-neural-networks/ 2026-05-29T11:57:39+00:00 https://bcn-aim.org/publications/sequential-bone-marrow-cell-delivery-of-vegfa-s1p-improves-vascularization-and-limits-adverse-cardiac-remodeling-after-myocardial-infarction-in-mice/ 2026-05-29T11:58:18+00:00 https://bcn-aim.org/publications/deep-convolutional-neural-networks-for-brain-image-analysis-on-magnetic-resonance-imaging-a-review/ 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2026-05-29T12:03:03+00:00 https://bcn-aim.org/publications/generalisability-of-fetal-ultrasound-deep-learning-models-to-low-resource-imaging-settings-in-five-african-countries/ 2026-05-29T12:03:38+00:00 https://bcn-aim.org/publications/high-resolution-synthesis-of-high-density-breast-mammograms-application-to-improved-fairness-in-deep-learning-based-mass-detection/ 2026-05-29T12:04:11+00:00 https://bcn-aim.org/publications/medigan-a-python-library-of-pretrained-generative-models-for-medical-image-synthesis/ 2026-05-29T12:04:54+00:00 https://bcn-aim.org/publications/image%e2%80%90based-biological-heart-age-estimation-reveals-differential-aging-patterns-across-cardiac-chambers/ 2026-05-29T12:05:24+00:00 https://bcn-aim.org/publications/radiomics-analysis-enhances-the-diagnostic-performance-of-cmr-stress-perfusion-a-proof-of-concept-study-using-the-dan-nicad-dataset/ 2026-05-29T12:05:59+00:00 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