Michael Forsting | IKIM MMLhttps://mml.kite.ume.de/authors/michael-forsting/Michael ForstingHugoBlox Kit (https://hugoblox.com)en-usFri, 01 May 2026 00:00:00 +0000https://mml.kite.ume.de/media/authors/michael-forsting_hu_c1f90bd804edff15.jpegMichael Forstinghttps://mml.kite.ume.de/authors/michael-forsting/Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learninghttps://mml.kite.ume.de/publications/quinsten-automatic-2026/Fri, 01 May 2026 00:00:00 +0000https://mml.kite.ume.de/publications/quinsten-automatic-2026/Explainable AI Predicts Hematoxicity from Cancer Treatment Using Multimodal Real-World Datahttps://mml.kite.ume.de/publications/keyl-explainable-2026/Wed, 01 Apr 2026 00:00:00 +0000https://mml.kite.ume.de/publications/keyl-explainable-2026/Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resectionhttps://mml.kite.ume.de/publications/vogelsang-automated-2025/Sat, 01 Nov 2025 00:00:00 +0000https://mml.kite.ume.de/publications/vogelsang-automated-2025/Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratificationhttps://mml.kite.ume.de/publications/borys-leveraging-2025/Wed, 01 Oct 2025 00:00:00 +0000https://mml.kite.ume.de/publications/borys-leveraging-2025/Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosishttps://mml.kite.ume.de/publications/salhofer-automated-2025/Sat, 01 Mar 2025 00:00:00 +0000https://mml.kite.ume.de/publications/salhofer-automated-2025/Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligencehttps://mml.kite.ume.de/publications/keyl-decoding-2025/Sat, 01 Feb 2025 00:00:00 +0000https://mml.kite.ume.de/publications/keyl-decoding-2025/Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosishttps://mml.kite.ume.de/publications/salhofer-automated-2024/Mon, 01 Jan 2024 00:00:00 +0000https://mml.kite.ume.de/publications/salhofer-automated-2024/Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter studyhttps://mml.kite.ume.de/publications/keyl-prognostic-2024/Mon, 01 Jan 2024 00:00:00 +0000https://mml.kite.ume.de/publications/keyl-prognostic-2024/Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligencehttps://mml.kite.ume.de/publications/keyl-decoding-2023/Sun, 01 Oct 2023 00:00:00 +0000https://mml.kite.ume.de/publications/keyl-decoding-2023/Information extraction from weakly structured radiological reports with natural language querieshttps://mml.kite.ume.de/publications/dada-information-2023/Sat, 01 Jul 2023 00:00:00 +0000https://mml.kite.ume.de/publications/dada-information-2023/Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Studyhttps://mml.kite.ume.de/publications/haubold-contrast-2023/Sun, 01 Jan 2023 00:00:00 +0000https://mml.kite.ume.de/publications/haubold-contrast-2023/Deep learning-based assessment of body composition and liver tumor burden for survival modeling in advanced colorectal cancerhttps://mml.kite.ume.de/publications/keyl-deep-2022/Fri, 25 Nov 2022 00:00:00 +0000https://mml.kite.ume.de/publications/keyl-deep-2022/Deep Learning–driven classification of external DICOM studies for PACS archivinghttps://mml.kite.ume.de/publications/jonske-deep-2022/Fri, 01 Jul 2022 00:00:00 +0000https://mml.kite.ume.de/publications/jonske-deep-2022/Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Studyhttps://mml.kite.ume.de/publications/haubold-contrast-2022/Sat, 01 Jan 2022 00:00:00 +0000https://mml.kite.ume.de/publications/haubold-contrast-2022/Joint Imaging Platform for Federated Clinical Data Analyticshttps://mml.kite.ume.de/publications/scherer-joint-2020/Sun, 01 Nov 2020 00:00:00 +0000https://mml.kite.ume.de/publications/scherer-joint-2020/Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Studyhttps://mml.kite.ume.de/publications/kleesiek-can-2019/Tue, 01 Oct 2019 00:00:00 +0000https://mml.kite.ume.de/publications/kleesiek-can-2019/