Translational Surgical Oncology

  • Imaging and Radiooncology
  • NCT
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Prof. Dr. Stefanie Speidel

Head of Department

Prof. Dr. Stefanie Speidel is developing assistance systems to guide surgeons safely and directly to the tumor. These intelligent aids are particularly needed for minimally invasive operations. Here, the surgeon makes a small incision in the patient's skin and controls the operation using video images from the endoscope.

A surgeon, wearing virtual reality goggles and surgical scrubs, operates with a robotic arm. A large monitor in the background displays a detailed image related to the surgery. The setting emphasizes advanced technology in a medical environment.

Our research

Increasingly powerful technological developments in surgery, such as new devices and technologies, generate an enormous amount of valuable data that can be used to improve personalized therapy. However, the use of this data, especially in complex, time-critical surgical situations, is limited and heavily dependent on the experience of the surgical staff.

The aim is to use surgical data science, robotics and new sensors to quantify surgical skills and expertise and transfer them to machines. Our research focuses on three essential areas to pave the way for next-generation robotic surgery:

The research and methodological focus is on machine learning for video-based workflow analysis, soft tissue navigation, and semi-automated execution of robotic surgery. To address the lack of data, we are working on the synthetic generation and simulation of realistic training data and on proof-of-concept studies to enable translation into clinical practice.

Projects

Next Generation AI Computing (GAIn)

Duration: 01.07.2024 - 30.06.2027

The rapid progress of artificial intelligence (AI) brings with it global challenges in computing capacities, IT infrastructures and energy supply. These can significantly restrict the development of AI-based future technologies, particularly in communication, medicine and robotics.

In the GAIn ("Next Generation AI Computing") pilot project, scientists from TU Dresden, LMU Munich and TUM are working together on new hardware and software concepts for energy-efficient and stable AI. This is essential for translational surgical oncology in order to drive progress in medical AI and robotics. Improved AI systems enable more precise and safer surgical procedures - with direct benefits for patients.

 

Team

We are an interdisciplinary group consisting mainly of computer scientists, electrical engineers, mechanical engineers and surgeons.

  • A woman with curly black hair and bright red earrings smiles warmly. She is wearing a striped shirt with blue and red patterns. The background is gray, focusing attention on her cheerful expression.

    Prof. Dr. Stefanie Speidel

    Head of Department

  • A woman with long, brown hair is smiling at the camera. She is wearing a blue top and has turquoise earrings. The background is gray, creating a neutral setting that highlights her friendly expression.

    Ricarda Abdel Bary

    Administration and Technical Support

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    Johannes Bender

    PhD Student

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    Nithya Bhasker

    PhD Student

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    Dr. Sebastian Bodenstedt

    Deputy Head of Department

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    Johanna Brandenburg

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    Dr. Zhaoyu Chen

    Scientific Manager

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    Daniel Cser

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    Claas de Boer

    PhD Student

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    Reuben Docea

    PhD Student

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    Maxime Fleury

    Software Engineer

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    Isabel Funke

    PhD Student

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    Bianca Güttner

    PhD Student

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    Hanna Hoffmann

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    Susu Hu

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    Jakob Häcker

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    Alexander Jenke

    PhD Student

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    Gregor Just

    PhD Student

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    Max Kirchner

    PhD Student

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    Stefanie Krell

    PhD Student

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    Martin Lelis

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    Chenyang Li

    PhD Student

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    Chenpan Li

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    Peng Liu

    PhD Student

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    Lorenzo Mazza

    PhD Student

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    Dr. Micha Pfeiffer

    Group Lead

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    Ariel Rodriguez Jimenez

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    Danush Kumar Venkatesh

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    Dr. Martin Wagner

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    Kevin Wang

    PhD Student

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    Sirui Xiong

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    Jinjing Xu

    PhD Student

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    Rayan Younis

Entire Team

Selected publications

2024 - Medical Image Analysis

Rivoir, D., Funke, I., & Speidel, S. 

2023 - Nature Scientific Data

Carstens, M., et al., Speidel S., Kolbinger, F. R.

2023 - Medical image analysis

Wagner, M., et al., Speidel, S., Bodenstedt, S.

2022 - Medical Image Analysis

Maier-Hein, L., et al., Speidel, S.

2021 - Proceedings of the IEEE/CVF international conference on computer vision

Rivoir, D., Pfeiffer, M., et al., Speidel, S.

2019 - International journal of computer assisted radiology and surgery

Funke, I., et al., Speidel, S.

2005 -

Prof. Dr. Stefanie Speidel is the founding director of the DKFZ Dresden site and also heads the division of the same name at the NCT Dresden.

NCT-Website

Get in touch with us

A woman with curly black hair and bright red earrings smiles warmly. She is wearing a striped shirt with blue and red patterns. The background is gray, focusing attention on her cheerful expression.

Prof. Dr. Stefanie Speidel

Head of Department

Postal address:

NCT DD Translationale Chirurgische Onkolgie (DD06) Deutsches Krebsforschungszentrum Fetscherstraße 74 01307 Dresden
A woman with long, brown hair is smiling at the camera. She is wearing a blue top and has turquoise earrings. The background is gray, creating a neutral setting that highlights her friendly expression.

Ricarda Abdel Bary

Administration and Technical Support

Postal address:

NCT DD Translationale Chirurgische Onkolgie (DD06) Deutsches Krebsforschungszentrum Fetscherstraße 74 01307 Dresden
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