Stefanie Speidel

Prof.

Germany

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About

Prof. Stefanie Speidel is a faculty member at the National Center for Tumor Diseases Dresden, Germany. Her research areas focus on artificial intelligence applications in minimally invasive surgery and video-based surgical recognition. Recent articles include work on AI for decision support in oncological procedures and augmented reality systems for surgical navigation.

Articles (25)

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2025

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2022

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2022

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2022

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2022

Collaborators (6)

George B. Hanna

Imperial College London

UNITED KINGDOM

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Matthew Clarkson

University College London

UNITED KINGDOM

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Christoph von Schrottenberg

Universitätsmedizin Mannheim

GERMANY

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Patrick Seeling

Professor

Central Michigan University

UNITED STATES

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Steffen Löck

GERMANY

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Martin Wagner

Attending Surgeon and Full Professur of AI-Based Assistance Systems in Surgery

University Hospital Carl Gustav Carus Dresden

GERMANY

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Stefanie Speidel

Research Interests

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About

Articles (25)

Automatic ultrasound image alignment for diagnosis of pediatric distal forearm fractures.

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery

Translationale Herausforderungen und klinisches Potenzial von künstlicher Intelligenz in der minimal-invasiven Chirurgie

Aliado - A design concept of AI for decision support in oncological liver surgery

An augmented reality overlay for navigated prostatectomy using fiducial-free 2D–3D registration

AutoFRS

Assessment of the extent of lymphadenectomy in esophageal cancer surgery in the observational TIGER study

TUNeS: A Temporal U-Net With Self-Attention for Video-Based Surgical Phase Recognition

Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors

Der digitale Operationssaal

Künstliche Intelligenz in der onkologischen Chirurgie

Negative Latency in the Tactile Internet as Enabler for Global Metaverse Immersion

Can you feel the force just right?

AIxSuture

Exploring semantic consistency in unpaired image translation to generate data for surgical applications

One model to use them all

Comparing a virtual reality head-mounted display to on-screen three-dimensional visualization and two-dimensional computed tomography data for training in decision making in hepatic surgery

On the pitfalls of Batch Normalization for end-to-end video learning

The development of tissue handling skills is sufficient and comparable after training in virtual reality or on a surgical robotic system

Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures

The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science

Gesture Recognition in Robotic Surgery With Multimodal Attention

Healing Hands: The Tactile Internet in Future Tele-Healthcare

Robot-Assisted Minimally Invasive Surgery—Surgical Robotics in the Data Age

SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction

Collaborators (6)

George B. Hanna

Matthew Clarkson

Christoph von Schrottenberg

Patrick Seeling

Steffen Löck

Martin Wagner

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