Felix Achilles, M.Sc.
achilles@in.tum.de
Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik / I-16 Technische Universität München Boltzmannstraße 3 85748 Garching bei München Germany Raum MI 03.013.037 Telefon CAMP: +49 (89) 289-17077 |
Patient Pose EstimationIn 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. |
2018 | |
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) |
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2017 | |
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) |
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2016 | |
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) |
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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) |
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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. (bib) |
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2013 | |
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) |
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Title: | M.Sc. |
Circumference of your head (in cm): | 3.14159265 |
Firstname: | Felix |
Middlename: | |
Lastname: | Achilles |
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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 |
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