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20182025
most citedAn objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion

1 citations · 1 across the 7 of their papers we have counts for

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cs.CV2025

PIVOTS: Aligning unseen Structures using Preoperative to Intraoperative Volume-To-Surface Registration for Liver Navigation

Peng Liu, Bianca Güttner, Yutong Su +16

Non-rigid registration is essential for Augmented Reality guided laparoscopic liver surgery by fusing preoperative information, such as tumor location and vascular structures, into…

cs.CV2025

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…

cs.CV2024

Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models

Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer +2

In computer-assisted surgery, automatically recognizing anatomical organs is crucial for understanding the surgical scene and providing intraoperative assistance. While machine lea…

cs.CV2024

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…

cs.CV20241 cited

An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion

Sharib Ali, Yamid Espinel, Yueming Jin +17

Augmented reality for laparoscopic liver resection is a visualisation mode that allows a surgeon to localise tumours and vessels embedded within the liver by projecting them on top…

cs.CV2023

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…