Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems. - Lea Bogensperger; Antonin Chambolle; Thomas Pock (SIAM J. Math. Data Sci., 2022)

Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. - Lea Bogensperger; Dominik Narnhofer; Filip Ilic; Thomas Pock (DAGM, 2023)

Learned Discretization Schemes for the Second-Order Total Generalized Variation. - Lea Bogensperger; Antonin Chambolle; Alexander Effland; Thomas Pock (SSVM, 2023)

Synthetic Augmentation for Anatomical Landmark Localization Using DDPMs. - Arnela Hadzic; Lea Bogensperger; Simon Johannes Joham; Martin Urschler (SASHIMI@MICCAI, 2024)

An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation. - Lea Bogensperger; Matthias J. Ehrhardt; Thomas Pock; Mohammad Sadegh Salehi; Hok Shing Wong (CoRR, 2024)

A Variational Perspective on Generative Protein Fitness Optimization. - Lea Bogensperger; Dominik Narnhofer; Ahmed Allam; Konrad Schindler; Michael Krauthammer (CoRR, 2025)

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. - Lea Bogensperger; Dominik Narnhofer; Alexander Falk; Konrad Schindler; Thomas Pock (Int. J. Comput. Vis., 2025)