Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI. - Felix Meissen; Georgios Kaissis; Daniel Rueckert (BrainLes@MICCAI (1), 2021)

AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. - Felix Meissen; Georgios Kaissis; Daniel Rueckert (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Unsupervised Anomaly Localization with Structural Feature-Autoencoders. - Felix Meissen; Johannes C. Paetzold; Georgios Kaissis; Daniel Rueckert (BrainLes@MICCAI, 2022)

On the Pitfalls of Using the Residual Error as Anomaly Score. - Felix Meissen; Benedikt Wiestler; Georgios Kaissis; Daniel Rueckert (MIDL, 2022)

Approaching Peak Ground Truth. - Florian Kofler; Johannes Wahle; Ivan Ezhov; Sophia J. Wagner; Rami Al-Maskari; Emilia Gryska; Mihail I. Todorov; Christina Bukas; Felix Meissen; Tingying Peng; Ali Ertürk; Daniel Rueckert; et al. (ISBI, 2023)

Anatomy-Driven Pathology Detection on Chest X-rays. - Philip Müller; Felix Meissen; Johannes Brandt; Georgios Kaissis; Daniel Rueckert (MICCAI (1), 2023)

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. - Felix Meissen; Philip Müller; Georgios Kaissis; Daniel Rueckert (MIDL, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

(Predictable) Performance Bias in Unsupervised Anomaly Detection. - Felix Meissen; Svenja Breuer; Moritz Knolle; Alena Buyx; Ruth Müller; Georgios Kaissis; Benedikt Wiestler; Daniel Rueckert (CoRR, 2023)

How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection. - Felix Meissen; Johannes Getzner; Alexander Ziller; Georgios Kaissis; Daniel Rueckert (CoRR, 2023)

Interactive Generation of Laparoscopic Videos with Diffusion Models. - Ivan Iliash; Simeon Allmendinger; Felix Meissen; Niklas Kühl 001; Daniel Rückert (DGM4MICCAI@MICCAI, 2024)

MAIRA-2: Grounded Radiology Report Generation. - Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Anton Schwaighofer; Sam Bond-Taylor; Maximilian Ilse; Fernando Pérez-García; Valentina Salvatelli; Harshita Sharma; Felix Meissen; Mercy Ranjit; Shaury Srivastav; et al. (CoRR, 2024)

Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. - Andrea Posada; Daniel Rueckert; Felix Meissen; Philip Müller (CoRR, 2024)

Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. - Ioannis Lagogiannis; Felix Meissen; Georgios Kaissis; Daniel Rueckert (IEEE Trans. Medical Imaging, 2024)

Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI Pooling. - Philip Müller; Felix Meissen; Georgios Kaissis; Daniel Rueckert (IEEE Trans. Medical Imaging, 2025)

Insights into a radiology-specialised multimodal large language model with sparse autoencoders. - Kenza Bouzid; Shruthi Bannur; Felix Meissen; Daniel Coelho de Castro; Anton Schwaighofer; Javier Alvarez-Valle; Stephanie L. Hyland (CoRR, 2025)