- EndoViT: pretraining vision transformers on a large collection of endoscopic images. International Journal of Computer Assisted Radiology and Surgery, 2024 mehr…
- DisguisOR: holistic face anonymization for the operating room. International Journal of Computer Assisted Radiology and Surgery 18 (7), 2023, 1209-1215 mehr…
- Holistic OR domain modeling: a semantic scene graph approach. International Journal of Computer Assisted Radiology and Surgery, 2023 mehr…
- LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 mehr…
- Know your sensORs - A Modality Study For Surgical Action Classification. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11 (4), 2022, 1113-1121 mehr…
- 4D-OR: Semantic Scene Graphs for OR Domain Modeling. MICCAI (8) (Lecture Notes in Computer Science), Springer, 2022 mehr…
- AI for Doctors—A Course to Educate Medical Professionals in Artificial Intelligence for Medical Imaging. Healthcare 9 (10), 2021, 1278 mehr…
- OperA: Attention-Regularized Transformers for Surgical Phase Recognition. arXiv preprint arXiv:2103.03873, 2021 mehr…
- Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. arXiv preprint arXiv:2103.07240, 2021 mehr…
- 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…
- TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks. CoRR abs/2003.10751, 2020 mehr…
Tobias Czempiel
M.Sc. Tobias Czempiel
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
Research Interests
- Deep Learning for Medical Applications & Imaging - Demo
- Time Series Prediction (Recurrent Neural Networks, Temporal Neural Networks, Transformer, ...)
- Surgical Data Science & Surgical Workflow Recognition
Curriculum Vitae
- 03/2019 - current: PhD Student at CAMP Chair, TUM
- 10/2016 - 03/2019: MSc Biomedical Computing, TUM
- 10/2012 - 03/2016: BSc Medical Informatics, Reutlingen University
Complete CV available on linkedIn
Publications
Google Scholar link
Teaching
Summer term 2024
| Title | Dates | Type | Duration | Lecturer (assistant) |
|---|---|---|---|---|
| Computer Science for Medical Students |  | VO | 2 |
Student Projects
Feel free to contact me if your interested in a IDP, Guided Research, Clicial Application Project or Thesis (MA, BA)
2022:
| Type IDP CAP IDP MA | Status Running Running Running Running | Title Reidentification in the OR Desinging Demos for Deep Learning Applications Hierachical Object and Human Scene Understanding Clustering of Genetic Variants | Student Ana-Maria Lacatusu Hui Cheng Nicolas Gossard Anna Tröbs |
2021:
| Type MA BA MA IDP | Status Finished Finished Finished Finished | Title Surgical Workflow Analysis under Limited Annotation CholecTriplet2021: Surgical Action Triplet Recognition Challenge MICCAI 2021 Utilizing longitudinal data for COVID-19 segmentation longitudinal depth map correction from noisy sensor data | Student Fernando Benito Abad Finn Gaida Coco rogers Ahmad Ebid |