Holistic clinical decision support systems considering all patient data
Large Language Models (LLMs) for clinical reasoning and interactive decision support
Generative models for interpretable feature extraction and counterfactual explanations
Curriculum vitae
Matthias Keicher is a senior PhD student at the Chair for Computer Aided Medical Procedures based at the IFL Lab in the hospital Klinikum rechts der Isar in Munich. He leads a research team with a focus on structured report generation and clinical applications of vision-language models funded by the DIVA project.
09/2019 - current: PhD student at the Chair for Computer Aided Medical Procedures
02/2019 - current: Research Manager at the Chair for Computer Aided Medical Procedures
08/2016 - 12/2018: CTO and Managing Director of SurgicEye GmbH
Dosimetry, interventional radiology and radio-embolisation
05/2015 - 07/2016: Director of Business Development, SurgicEye GmbH
Hedderich, Dennis M.; Keicher, Matthias; Wiestler, Benedikt; Gruber, Martin J.; Burwinkel, Hendrik; Hinterwimmer, Florian; Czempiel, Tobias; Spiro, Judith E.; Pinto dos Santos, Daniel; Heim, Dominik; Zimmer, Claus; Rückert, Daniel; Kirschke, Jan S.; Navab, Nassir: AI for Doctors—A Course to Educate Medical Professionals in Artificial Intelligence for Medical Imaging. Healthcare 9 (10), 2021, 1278 more…
Hedderich, Dennis M; Keicher, Matthias; Wiestler, Benedikt; Gruber, Martin J; Burwinkel, Hendrik; Hinterwimmer, Florian; Czempiel, Tobias; Spiro, Judith E; Pinto Dos Santos, Daniel; Heim, Dominik; Zimmer, Claus; Rückert, Daniel; Kirschke, Jan S; Navab, Nassir: AI for Doctors-A Course to Educate Medical Professionals in Artificial Intelligence for Medical Imaging. 9 (10), 2021 more…
Zellner, Tobias; Burwinkel, Hendrik; Keicher, Matthias; Bani-Harouni, David; Navab, Nassir; Ahmadi, Seyed-Ahmad; Eyer, Florian: Decision support for toxin prediction using artificial intelligence. 59 (6), 2021, 541-541 more…
2020
Czempiel, Tobias; Paschali, Magdalini; Keicher, Matthias; Simson, Walter; Feussner, Hubertus; Kim, Seong Tae; Navab, Nassir: TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020 more…
Elskhawy, Abdelrahman; Lisowska, Aneta; Keicher, Matthias; Henry, Joseph; Thomson, Paul; Navab, Nassir: Continual Class Incremental Learning for CT Thoracic Segmentation. In: Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Springer International Publishing, 2020 more…
2014
Okur, Asl?; Hennersperger, Christoph; Runyan, Brent; Gardiazaball, José; Keicher, Matthias; Paepke, Stefan; Wendler, Thomas; Navab, Nassir: FhSPECT-US guided needle biopsy of sentinel lymph nodes in the axilla: is it feasible? 17 (Pt 1), 2014, 577-84 more…
Student projects
Feel free to contact me if your interested in an IDP, a guided research or a thesis.
Running and past projects:
Type
Title
Student
Master Thesis
Learning-Based Registration of Vertebral CT Scans for Monitoring Longitudinal Changes in Cancer Patients with Spine Metastasis (in collaboration with Harvard Medical School)
Malika Sanhinova
Master Thesis
GRIP: Graph-Image Contrastive Pre-Training For Chest X-ray Understanding
Mohammed Kamran
Master Thesis
Domain-specific Self-Supervised Pretraining for Vertebral Body Diagnosis
Infectious Disease Modeling for COVID-19 with Increased Spatial Resolution - Investigating Opportunities for Machine Learning and Community Mobility Data (in collaboration with Johns Hopkins University)
Philipp Nikutta
Bachelor Thesis
Cervical Spine Segmentation and 3D Printing for Improved Patient Treatment Planning
