SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models

1 code implementation • 19 Aug 2024 • Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Stefanie Speidel

Computer-assisted surgery (CAS) systems are designed to assist surgeons during procedures, thereby reducing complications and enhancing patient care.

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications

1 code implementation • 6 Sep 2023 • Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel

This study empirically investigates unpaired image translation methods for generating suitable data in surgical applications, explicitly focusing on semantic consistency.

Contrastive Learning Image-to-Image Translation +2

Detecting Adversarial Examples in Batches -- a geometrical approach

1 code implementation • 17 Jun 2022 • Danush Kumar Venkatesh, Peter Steinbach

Many deep learning methods have successfully solved complex tasks in computer vision and speech recognition applications.

Adversarial Attack Detection Image Classification