Publications (13)
Learning Soft Tissue Behavior of Organs for Surgical Navigation with Convolutional Neural Networks
Micha Pfeiffer, Carina Riediger, Jürgen Weitz +1
Purpose: In surgical navigation, pre-operative organ models are presented to surgeons during the intervention to help them in efficiently finding their target. In the case of soft…
Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models
Danush Kumar Venkatesh, Isabel Funke, Micha Pfeiffer +5
Computer-assisted interventions can improve intra-operative guidance, particularly through deep learning methods that harness the spatiotemporal information in surgical videos. How…
SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer +1
Computer-assisted surgery (CAS) systems are designed to assist surgeons during procedures, thereby reducing complications and enhancing patient care. Training machine learning mode…
Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications
Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer +4
In surgical computer vision applications, obtaining labeled training data is challenging due to data-privacy concerns and the need for expert annotation. Unpaired image-to-image tr…
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model
Micha Pfeiffer, Carina Riediger, Stefan Leger +5
Non-rigid registration is a key component in soft-tissue navigation. We focus on laparoscopic liver surgery, where we register the organ model obtained from a preoperative CT scan…
Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
Dominik Rivoir, Micha Pfeiffer, Reuben Docea +4
Research in unpaired video translation has mainly focused on short-term temporal consistency by conditioning on neighboring frames. However for transfer from simulated to photoreal…