Tobias Czempiel

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Inactive: The user is not active in TUMonline anymore!

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

  • Özsoy, Ege; Czempiel, Tobias; Örnek, Evin Pınar; Eck, Ulrich; Tombari, Federico; Navab, Nassir: Holistic OR domain modeling: a semantic scene graph approach. International Journal of Computer Assisted Radiology and Surgery 19 (5), 2024, 791--799 more…
  • Batić, Dominik; Holm, Felix; Özsoy, Ege; Czempiel, Tobias; Navab, Nassir: EndoViT: pretraining vision transformers on a large collection of endoscopic images. International Journal of Computer Assisted Radiology and Surgery, 2024 more…
  • Bastian, Lennart; Wang, Tony Danjun; Czempiel, Tobias; Busam, Benjamin; Navab, Nassir: DisguisOR: holistic face anonymization for the operating room. International Journal of Computer Assisted Radiology and Surgery 18 (7), 2023, 1209-1215 more…
  • Özsoy, Ege; Czempiel, Tobias; Örnek, Evin Pınar; Eck, Ulrich; Tombari, Federico; Navab, Nassir: Holistic OR domain modeling: a semantic scene graph approach. International Journal of Computer Assisted Radiology and Surgery, 2023 more…
  • Özsoy, Ege; Czempiel, Tobias; Holm, Felix; Pellegrini, Chantal; Navab, Nassir: LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 more…
  • Bastian, Lennart; Czempiel, Tobias; Heiliger, Christian; Karcz, Konrad; Eck, Ulrich; Busam, Benjamin; Navab, Nassir: Know your sensORs - A Modality Study For Surgical Action Classification. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11 (4), 2022, 1113-1121 more…
  • Özsoy, Ege; Örnek, Evin Pınar; Eck, Ulrich; Czempiel, Tobias; Tombari, Federico; Navab, Nassir: 4D-OR: Semantic Scene Graphs for OR Domain Modeling. MICCAI (8) (Lecture Notes in Computer Science), Springer, 2022 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. Healthcare 9 (10), 2021, 1278 more…
  • Czempiel, T.; Paschali, M.; Kim, S.; Ostler, D.; Busam, B.; Navab, N.: OperA: Attention-Regularized Transformers for Surgical Phase Recognition. arXiv preprint arXiv:2103.03873, 2021 more…
  • Kim, S.; Goli, L.; Paschali, M.; Khakzar, A.; Keicher, M.; Czempiel, T.; Burian, E.; Braren, R.; Navab, N.; Wendler, T.: Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. arXiv preprint arXiv:2103.07240, 2021 more…
  • 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…
  • Czempiel, T.; Paschali, M.; Keicher, M.; Simson, W.; Feußner, H.; Kim, S.T.; Navab, N.: TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks. CoRR abs/2003.10751, 2020 more…

Google Scholar link

Teaching

Summer term 2024

TitleDatesTypeDurationLecturer (assistant)
Computer Science for Medical StudentsLinkVO2

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