{"id":7524,"date":"2025-10-17T14:18:46","date_gmt":"2025-10-17T12:18:46","guid":{"rendered":"https:\/\/www.m2olie.de\/?page_id=7524"},"modified":"2025-10-27T14:42:06","modified_gmt":"2025-10-27T13:42:06","slug":"seminar-2022","status":"publish","type":"page","link":"https:\/\/www.m2olie.de\/en\/seminar-2022\/","title":{"rendered":"Seminar 2022"},"content":{"rendered":"\n
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Datum<\/strong><\/span><\/th>Referent<\/strong><\/span><\/th>Thema<\/strong><\/span><\/th><\/tr><\/thead>
13.12.2022<\/td>Mika Donabauer, Molekulare Bildgebung & Radiochemie, Medizinische Fakult\u00e4t Mannheim der Universit\u00e4t Heidelberg <\/td>\u201eDevelopment of new \u201aPhoton-Counting Computed Tomography\u2018 contrast agents for use in diagnostic imaging of malignant diseases\u201c<\/td><\/tr>
29.11.2022<\/td>Prof. Dr. Jan Stallkamp, Mannheimer Institut f\u00fcr Intelligente Systeme in der Medizin, Medizinische Fakult\u00e4t Mannheim der Universit\u00e4t Heidelberg<\/td>\u201eRobots for Automation in the Intervention Room\u201c<\/td><\/tr>
15.11.2022<\/td>Dr. Sebastian Sch\u00e4fer, Mint Medical GmbH<\/td>\u201emintLesion WebApp am Beispiel des Tumorboards\u201c<\/td><\/tr>
15.11.2022<\/td>Luis Oberste, M. Sc., Lehrstuhl f\u00fcr Allgemeine Betriebswirtschaftslehre und Wirtschaftsinformatik, Universit\u00e4t Mannheim<\/td>\u201eFrom Knowledge-Informed to Explainable Machine Learning for Medical Diagnosis\u201c<\/td><\/tr>
18.10.2022<\/td>Dr. Ekaterina Jussupow, Lehrstuhl f\u00fcr Allgemeine Betriebswirtschaftslehre und Wirtschaftsinformatik, Universit\u00e4t Mannheim<\/td>“Radiologists Usage of Diagnostic AI Systems – The Role of Diagnostic Self-Efficacy for Sensemaking from Confirmation and Disconfirmation”<\/td><\/tr>
06.09.2022<\/td>Christian T\u00f6nnes, M. Sc., Computer Assisted Clinical Medicine, Universit\u00e4tsmedizin Mannheim<\/td>“SimMRI: MRI Simulator for Teaching”<\/td><\/tr>
26.07.2022<\/td>Jan Kirchhoff, medicalvalues GmbH<\/td>“Integrierte Diagnostik mit Hilfe von KI – Einsatzm\u00f6glichkeiten im M\u00b2OLIE-Closed Loop”<\/td><\/tr>
12.07.2022<\/td>Dr. Saskia Riedel, ScienceValue Heidelberg GmbH<\/td>“Technology transfer: How it works at Heidelberg University”<\/td><\/tr>
28.06.2022<\/td>Sarah Fremgen, Klinik f\u00fcr Strahlentherapie und Radioonkologie, Universit\u00e4tsmedizin Mannheim<\/td>“Optisches Tracking einer R\u00f6ntgenquelle f\u00fcr intraoperative Strahlentherapie”<\/td><\/tr>
31.05.2022<\/td>Julian Rosenkranz (Fraunhofer IPA)<\/td>“5G in der Medizintechnik”<\/td><\/tr>
17.05.2022<\/td>Jonas Wagner, NEXT Mannheim<\/td>\u201eCUBEX \u2013 die kliniknahe MedTech Community in Mannheim\u201c<\/td><\/tr>
05.04.2022<\/td>Dr. Djeda Belharazem, Pathologie, Universit\u00e4tsmedizin Mannheim<\/td>“Next generation of the tumor diagnostics in 3D as an innovative approach in translational cancer research”<\/td><\/tr>
05.04.2022<\/td>Miriam Rittel, CeMOS, Hochschule Mannheim<\/td>“Massenspektrometrie in der klinischen Routine – Einbindung in den Kreislauf”<\/td><\/tr>
22.03.2022<\/td>Dr. Johann Rink, Klinik f\u00fcr Radiologie und Nuklearmedizin, Universit\u00e4tsmedizin Mannheim<\/td>“Feasibility of using perfusion dynamic contrast enhanced MRI (DCE-MRI) to predict microwave ablation volumes in combination embolization and microwave ablation therapy”<\/td><\/tr>
08.03.2022<\/td>Benedikt Judmann, Molekulare Bildgebung und Radiochemie, Universit\u00e4tsmedizin Mannheim<\/td>\u201eDevelopment and design of radioligands for imaging and characterization of malignant liver tumors\u201c<\/td><\/tr>
22.02.2022<\/td>Christian Silvio Rizzo, MD, Universidad Maimonides, Buenos Aires, Argentina<\/td>\u201eUniversidad Maim\u00f3nides (UMAI): An Opportunity for Collaboration\u201c<\/td><\/tr>
08.02.2022<\/td>Jonas Cordes, HS Mannheim<\/td>\u201e3D Image Registration in the Context of M\u00b2OLIE\u201c<\/td><\/tr>
08.02.2022<\/td>Philipp Schader, Dr. Marco Nolden und Jasmin Metzger, DKFZ<\/td>\u201eKaapana und die Joint Imaging Platform f\u00fcr verteilte Bildanalyse und Machine Learning\u201c<\/td><\/tr>
25.01.2022<\/td>Anish Raj, Computerunterst\u00fctzte Klinische Medizin, Universit\u00e4tsmedizin Mannheim<\/td>\u201eADPKD Kidney Segmentation using Attention and Cosine Loss in Deep Learning with Small Dataset\u201c<\/td><\/tr>