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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.
Out-of-domain self-supervised pretraining on brain MRIs beats in-domain supervised learning when generalizing to real-world clinical data.
Training better crop yield models just got easier: YieldSAT offers 12 million high-resolution, multimodal data points across diverse climate zones and crops.