<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robert Seifert | IKIM MML</title><link>https://mml.kite.ume.de/authors/robert-seifert/</link><atom:link href="https://mml.kite.ume.de/authors/robert-seifert/index.xml" rel="self" type="application/rss+xml"/><description>Robert Seifert</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Jan 2023 00:00:00 +0000</lastBuildDate><item><title>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</title><link>https://mml.kite.ume.de/publications/kim-evaluation-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/kim-evaluation-2023/</guid><description/></item><item><title>Artificial intelligence guided enhancement of digital PET: scans as fast as CT?</title><link>https://mml.kite.ume.de/publications/hosch-artificial-2022/</link><pubDate>Fri, 01 Jul 2022 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/hosch-artificial-2022/</guid><description/></item><item><title>Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image.</title><link>https://mml.kite.ume.de/publications/murray-vesseg-2021/</link><pubDate>Fri, 01 Oct 2021 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/murray-vesseg-2021/</guid><description/></item><item><title>Joint Imaging Platform for Federated Clinical Data Analytics</title><link>https://mml.kite.ume.de/publications/scherer-joint-2020/</link><pubDate>Sun, 01 Nov 2020 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/scherer-joint-2020/</guid><description/></item><item><title>PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis</title><link>https://mml.kite.ume.de/publications/seifert-psma-2020/</link><pubDate>Tue, 01 Sep 2020 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/seifert-psma-2020/</guid><description/></item><item><title>Semi-automatically quantified tumor volume using Ga-68-PSMA-11-PET as biomarker for survival in patients with advanced prostate cancer</title><link>https://mml.kite.ume.de/publications/seifert-semi-automatically-2020/</link><pubDate>Wed, 01 Apr 2020 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/seifert-semi-automatically-2020/</guid><description/></item><item><title>Künstliche Intelligenz in der Hybridbildgebung</title><link>https://mml.kite.ume.de/publications/strack-kunstliche-2020/</link><pubDate>Sat, 01 Feb 2020 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/strack-kunstliche-2020/</guid><description/></item><item><title>Analysis of PSMA expression and outcome in patients with advanced Prostate Cancer receiving $^textrm177$ Lu-PSMA-617 Radioligand Therapy</title><link>https://mml.kite.ume.de/publications/seifert-analysis-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/seifert-analysis-2020/</guid><description/></item></channel></rss>