Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Felix Achilles, M.Sc.


Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik / I-16
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München

Raum MI 03.013.037
Telefon CAMP: +49 (89) 289-17077

this is me

Research Interests

  • Human Pose Estimation
  • Range Imaging
  • Machine Learning
  • Navigated & US-Guided Interventional Imaging

Active research projects

Patient Pose Estimation

Patient Pose Estimation

In this project, we investigate machine learning algorithms for the purpose of real-time 3D human pose estimation in a hospital monitoring scenario. Patients are typically covered with a blanket and the bed is cluttered with books, laptops and other everyday objects. This makes the task more challenging than background-free human pose estimation. With the constraint of day and night monitoring capacity, we have recently published a method based on depth data which will be presented at MICCAI 2016, see link to the paper below. On this project page, you can also find the used dataset and training code. For further information, please contact Felix Achilles.

Student projects

We continuously create new topics for student projects or bachelor- and master-theses.
Feel free to contact me, if you are interested in one of the topics seen here.


L. Casas, C. Muerwald, F. Achilles, D. Mateus, D. Huber, N. Navab, S. Demirci
Human Pose Estimation from Pressure Sensor Data
Bildverarbeitung fuer die Medizin 2018, pp 285-290 (bib)
H. Coskun, F. Achilles, R. DiPietro, N. Navab, F. Tombari
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization
International Conference on Computer Vision (ICCV), Venice, Italy, October 2017 (bib)
F. Achilles, A.E. Ichim, H. Coskun, F. Tombari, S. Noachtar, N. Navab
PatientMocap: Human Pose Estimation under Blanket Occlusion for Hospital Monitoring Applications
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
F. Achilles, F. Tombari, V. Belagiannis, A.M. Loesch, S. Noachtar, N. Navab
Convolutional neural networks for real-time epileptic seizure detection
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 2016 (bib)
S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab
AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images
IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016.
The first two authors contribute equally to this paper.
A. Schoch, B. Fuerst, F. Achilles, S. Demirci, N. Navab
A Lightweight and Portable Communication Framework for Multimodal Image-Guided Therapy
The Sixth International Workshop on Systems and Architectures for Computer Assisted Interventions (SACAI), Nagoya, Japan, September 2013 (bib)

Title: M.Sc.
Circumference of your head (in cm): 3.14159265
Firstname: Felix
Lastname: Achilles
Picture: GarchingAvat_small100to140.png
Birthday: 1988/03/03
Nationality: Germany
Languages: English, German, Spanish
Groups: Patient Monitoring, Computer Vision, Machine Learning for Medical Applications
Expertise: Patient Monitoring, Computer Vision, Ubiquitous Tracking (Sensor Fusion)
Position: External Phd
Status: Active
Emailbefore: achilles
Emailafter: in.tum.de
Room: MI 03.13.037
Telephone: +49 89 289 17077

Edit | Attach | Refresh | Diffs | More | Revision r1.10 - 13 Dec 2018 - 13:35 - ShadiAlbarqouni

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