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David Kersting

Characteristics and outcomes of patients (pts) with metastatic castration-resistant prostate cancer (mCRPC) treated with lutetium-177–PSMA-617 (PSMA-RLT) in a real-world setting.
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging
Evaluation of thresholding methods for the quantifcation of 68Ga‑PSMA‑11 PET molecular tumor volume and their efect on survival prediction in patients with advanced prostate cancer undergoing 177Lu‑PSMA‑617 radioligand therapy
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?

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