Matthias Keicher


Picture of Matthias Keicher

Dipl.-Ing. (Univ.) Matthias Keicher

Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

Place of employment

Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)

Work:
Boltzmannstr. 3(5613)/III
85748 Garching b. München

Research Interests

  • Deep learning for medical applications and image analysis
  • Multimodal clinical decision support systems and report generation
  • Medical applications of vision-language models and visual question answering (VQA)
  • Generative models for interpretable feature extraction and self-supervision

Curriculum vitae

Matthias Keicher is a senior PhD student at the Chair for Computer Aided Medical Procedures and 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
    • Minimally-invasive breast cancer staging
  • 09/2013 - 04/2015: Product Manager, SurgicEye GmbH
    • Intraoperative SPECT imaging and Ultrasound fusion
  • 10/2006 - 06/2013: Mechanical Engineering and Management at TUM (Dipl.-Ing.)
    • Focus on biomedical engineering and medical devices

Connect with me on LinkedIn

Teaching

I am passionate about teaching and organize the two lectures Computer Science for Medical Students (CS4MS) and Innovation Generation in the Healthcare Domain (IGHD). Additionally, I regularly support the courses Deep Learning for Medical Applications, Project Management and Software Development for Medical Applications and Machine Learning in Medical Imaging as a tutor.

2021

  • 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 mehr…
  • 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 mehr…
  • 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 mehr…

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 mehr…
  • 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 mehr…

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 mehr…

Student projects

Feel free to contact me if your interested in an IDP, a guided research or a thesis.

Currently running projects:

Type

Title

Student

Guided Research

Exploring Generative Networks as Self-Supervision for Vertebral Fracture diagnosis

Matan Atad

Master Thesis

GAN-based Data Augmentation for Imbalance Problems in Body Part X-Ray Classification

Festina Ismali


Finished projects:

Type

Title

Student

MLMI

Explaining Medical Image Classifiers with Visual Question Answering Models

Fabian Scherer, Andrei Mancu, Alaeddine Mellouli, Çağhan Köksal

Interdisciplinary Project

Interpretable Vertebral Fracture Diagnosis (iMIMIC @ MICCAI 2022)

Paul Engstler

MLMI

CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN (IMLH @ ICML, XAI4CV @ CVPR)

Matan Atad, Vitalii Dmytrenko, Yitong Li, Xinyue Zhang

Master Thesis

3D Ultrasound Compounding for Volume Estimation in Thyroid Diagnostics

Lemonia Konstantinidou

Guided Research

AI-based Interpretable Dementia Recognition

Marcel Kollovieh

Master Thesis

Disentangled Representation Learning of Medical Brain Images Using Flow Based Models

Aadhithya Sanka

Master Thesis

Continual Class Incremental Learning for Thoracic segmentation in CT images (DART @ MICCAI 2020)

Abdelrahman Elskhawy

Bachelor Thesis

Infectious Disease Modeling for COVID-19 with Increased Spatial Resolution - Investigating Opportunities for Machine Learning and Community Mobility Data

Philipp Nikutta

Bachelor Thesis

Cervical Spine Segmentation and 3D Printing for Improved Patient Treatment Planning

Miruna Gafencu

Bachelor Thesis

Machine Learning based Clinical Decision Support System for Poison Diagnosis (MICCAI 2020)

David Bani-Harouni

Master Thesis

Initialization method for the registration of 3D ultrasound volumes of the thyroid gland

Mina Sedra

Master Thesis

Federated Learning for Medical Applications

Soham Mazumder