Felix Meissen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 23

Top Topics

Anomaly Detection

Tumor Segmentation

Diffusion Models

Top Venues

IEEE Trans. Medical Imaging

Publications

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, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P. Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie L. Hyland
MAIRA-2: Grounded Radiology Report Generation. CoRR (2024)
Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert
Interactive Generation of Laparoscopic Videos with Diffusion Models. CoRR (2024)
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. IEEE Trans. Medical Imaging 43 (1) (2024)
Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling. CoRR (2024)
Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. CoRR (2024)
Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
(Predictable) Performance Bias in Unsupervised Anomaly Detection. CoRR (2023)
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. CoRR (2023)
Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. MIDL (2023)
Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Oezguen Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR (2023)
Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. CoRR (2023)
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, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud
Approaching Peak Ground Truth. CoRR (2023)
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, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud
Approaching Peak Ground Truth. ISBI (2023)
Hongwei Bran Li, Syed Muhammad Anwar, Gian Marco Conte, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Verena Chung, Timothy Bergquist, James A. Eddy, Jake Albrecht, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR (2023)
Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
Anatomy-Driven Pathology Detection on Chest X-rays. CoRR (2023)
Felix Meissen, Johannes Getzner, Alexander Ziller, Georgios Kaissis, Daniel Rueckert
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection. CoRR (2023)
Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert
Anatomy-Driven Pathology Detection on Chest X-rays. MICCAI (1) (2023)
Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. CoRR (2022)
Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert
On the Pitfalls of Using the Residual Error as Anomaly Score. CoRR (2022)
Felix Meissen, Georgios Kaissis, Daniel Rueckert
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. CoRR (2022)
Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert
On the Pitfalls of Using the Residual Error as Anomaly Score. MIDL (2022)
Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. BrainLes@MICCAI (2022)
Felix Meissen, Georgios Kaissis, Daniel Rueckert
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Felix Meissen, Georgios Kaissis, Daniel Rueckert
Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI. BrainLes@MICCAI (1) (2021)