<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Michael Götz | IKIM MML</title><link>https://mml.kite.ume.de/authors/michael-gotz/</link><atom:link href="https://mml.kite.ume.de/authors/michael-gotz/index.xml" rel="self" type="application/rss+xml"/><description>Michael Götz</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><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>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>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>Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics</title><link>https://mml.kite.ume.de/publications/wennmann-prediction-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/wennmann-prediction-2023/</guid><description/></item><item><title>Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study</title><link>https://mml.kite.ume.de/publications/wennmann-combining-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/wennmann-combining-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>In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders</title><link>https://mml.kite.ume.de/publications/wennmann-vivo-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://mml.kite.ume.de/publications/wennmann-vivo-2022/</guid><description/></item></channel></rss>