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Felix Meissen
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2020 – today
- 2024
- [j1]Ioannis Lagogiannis
, Felix Meissen
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. IEEE Trans. Medical Imaging 43(1): 241-252 (2024) - [c8]Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert:
Interactive Generation of Laparoscopic Videos with Diffusion Models. DGM4MICCAI@MICCAI 2024: 109-118 - [i15]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 abs/2402.11985 (2024) - [i14]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
MAIRA-2: Grounded Radiology Report Generation. CoRR abs/2406.04449 (2024) - [i13]Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert:
Interactive Generation of Laparoscopic Videos with Diffusion Models. CoRR abs/2406.06537 (2024) - [i12]Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller:
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. CoRR abs/2406.16611 (2024) - 2023
- [c7]Florian Kofler, Johannes Wahle
Approaching Peak Ground Truth. ISBI 2023: 1-6 - [c6]Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert:
Anatomy-Driven Pathology Detection on Chest X-rays. MICCAI (1) 2023: 57-66 - [c5]Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert:
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. MIDL 2023: 568-585 - [i11]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 abs/2301.00243 (2023) - [i10]Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert:
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. CoRR abs/2303.00609 (2023) - [i9]Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert:
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. CoRR abs/2303.01920 (2023) - [i8]Florian Kofler, Felix Meissen, Felix Steinbauer
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR abs/2305.08992 (2023) - [i7]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, 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, 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 abs/2305.09011 (2023) - [i6]Philip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert:
Anatomy-Driven Pathology Detection on Chest X-rays. CoRR abs/2309.02578 (2023) - [i5]Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert:
(Predictable) Performance Bias in Unsupervised Anomaly Detection. CoRR abs/2309.14198 (2023) - [i4]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 abs/2312.03804 (2023) - 2022
- [c4]Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert:
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. BrainLes@MICCAI 2022: 14-24 - [c3]Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert:
On the Pitfalls of Using the Residual Error as Anomaly Score. MIDL 2022: 914-928 - [i3]Felix Meissen, Georgios Kaissis, Daniel Rueckert:
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. CoRR abs/2201.09579 (2022) - [i2]Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert:
On the Pitfalls of Using the Residual Error as Anomaly Score. CoRR abs/2202.03826 (2022) - [i1]Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert:
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. CoRR abs/2208.10992 (2022) - 2021
- [c2]Felix Meissen, Georgios Kaissis, Daniel Rueckert:
Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI. BrainLes@MICCAI (1) 2021: 63-74 - [c1]Felix Meissen, Georgios Kaissis, Daniel Rueckert:
AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 127-135
Coauthor Index
aka: Daniel Rückert
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