<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rickmer Braren | IKIM MML</title><link>https://mml.kite.ume.de/authors/rickmer-braren/</link><atom:link href="https://mml.kite.ume.de/authors/rickmer-braren/index.xml" rel="self" type="application/rss+xml"/><description>Rickmer Braren</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://mml.kite.ume.de/media/authors/rickmer-braren_hu_e1919e86d97cdff0.jpeg</url><title>Rickmer Braren</title><link>https://mml.kite.ume.de/authors/rickmer-braren/</link></image><item><title>Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&amp;E-stained tissue cores</title><link>https://mml.kite.ume.de/publications/fischer-contrastive-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/fischer-contrastive-2026/</guid><description/></item><item><title>International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs</title><link>https://mml.kite.ume.de/publications/chen-international-2025/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/chen-international-2025/</guid><description/></item><item><title>Unlocking the potential of digital pathology: Novel baselines for compression</title><link>https://mml.kite.ume.de/publications/fischer-unlocking-2025/</link><pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/fischer-unlocking-2025/</guid><description/></item><item><title>Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution</title><link>https://mml.kite.ume.de/publications/fischer-learned-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/fischer-learned-2025/</guid><description/></item><item><title>Real-world federated learning in radiology: hurdles to overcome and benefits to gain</title><link>https://mml.kite.ume.de/publications/bujotzek-real-world-2024/</link><pubDate>Tue, 01 Oct 2024 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/bujotzek-real-world-2024/</guid><description/></item><item><title>Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning</title><link>https://mml.kite.ume.de/publications/fischer-enhanced-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/fischer-enhanced-2024/</guid><description/></item><item><title>Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study</title><link>https://mml.kite.ume.de/publications/keyl-prognostic-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/keyl-prognostic-2024/</guid><description/></item><item><title>Current State of Community-Driven Radiological AI Deployment in Medical Imaging (Preprint)</title><link>https://mml.kite.ume.de/publications/gupta-current-2023/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/gupta-current-2023/</guid><description/></item><item><title>Current State of Community-Driven Radiological AI Deployment in Medical Imaging</title><link>https://mml.kite.ume.de/publications/gupta-current-2022/</link><pubDate>Thu, 01 Dec 2022 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/gupta-current-2022/</guid><description/></item><item><title>DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform</title><link>https://mml.kite.ume.de/publications/fischer-dicom-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/fischer-dicom-2022/</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>Wie funktioniert maschinelles Lernen?</title><link>https://mml.kite.ume.de/publications/kleesiek-wie-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/kleesiek-wie-2020/</guid><description/></item><item><title>Wie funktioniert Radiomics?</title><link>https://mml.kite.ume.de/publications/murray-wie-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/murray-wie-2020/</guid><description/></item><item><title>Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung</title><link>https://mml.kite.ume.de/publications/kleesiek-kunstliche-2019/</link><pubDate>Fri, 01 Nov 2019 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/kleesiek-kunstliche-2019/</guid><description/></item></channel></rss>