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Cerebriu, Copenhagen University Hospital Rigshospitalet, Copenhagen University Hospital Herlev
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Optimized DWI preprocessing can dramatically enhance ADC estimation and improve the accuracy of automatic PI-RADS classification, crucial for effective prostate cancer diagnosis.
Achieving a 74.3% F1 score in microbleed detection reveals a breakthrough in automated MRI analysis that could transform clinical practice.
By disentangling the morphological features of lacunes and enlarged perivascular spaces, this model significantly boosts lacunae detection precision, outperforming previous state-of-the-art methods.
