Detecting Adversarial Examples in Batches - a geometrical approach. - Danush Kumar Venkatesh; Peter Steinbach (CoRR, 2022)

Power analysis of several normality tests: A Monte Carlo simulation study. - Danush Kumar Venkatesh; Ananda B. W. Manage; Stephen M. Scariano (Commun. Stat. Simul. Comput., 2022)

SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Stefanie Speidel (ECCV Workshops (20), 2024)

Synthesizing Multi-Class Surgical Datasets with Anatomy-Aware Diffusion Models. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Fiona R. Kolbinger; Stefanie Speidel (CoRR, 2024)

AIxSuture: vision-based assessment of open suturing skills. - Hanna Hoffmann; Isabel Funke; Philipp Peters; Danush Kumar Venkatesh; Jan Egger; Dominik Rivoir; Rainer Röhrig; Frank Hölzle; Sebastian Bodenstedt; Marie-Christin Willemer; Stefanie Speidel; Behrus Puladi (Int. J. Comput. Assist. Radiol. Surg., 2024)

Exploring semantic consistency in unpaired image translation to generate data for surgical applications. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Fiona R. Kolbinger; Marius Distler; Jürgen Weitz; Stefanie Speidel (Int. J. Comput. Assist. Radiol. Surg., 2024)

Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models. - Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Fiona R. Kolbinger; Stefanie Speidel (WACV, 2025)

Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models. - Danush Kumar Venkatesh; Isabel Funke; Micha Pfeiffer; Fiona R. Kolbinger; Hanna Maria Schmeiser; Jürgen Weitz; Marius Distler; Stefanie Speidel (CoRR, 2025)