Benedikt Wiestler
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
2
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Unleashing the Power of Intensity Augmentation for Multi-modal Image Registration. | Bailiang Jian, Daniel Scholz, Jiazhen Pan, Morteza Ghahremani, Christian Wachinger, Benedikt Wiestler |
| 2025 | MICCAI | MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis. | Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler |
| 2025 | MICCAI | Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method. | Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert |
| 2025 | MICCAI | From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging. | Jonas Weidner, Ivan Ezhov, Michal Balcerak, Andr Datchev, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler |
| 2024 | CVPR | H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration. | Morteza Ghahremani, Mohammad Khateri, Bailiang Jian, Benedikt Wiestler, Ehsan Adeli, Christian Wachinger |
| 2024 | MICCAI | MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI. | Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea |
| 2024 | MICCAI | Diffusion Models with Implicit Guidance for Medical Anomaly Detection. | Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel |
| 2024 | MICCAI | Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. | Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-Garca, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim Ethem Hamamci, Benedikt Wiestler, Marie Piraud, zgr Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler |
| 2024 | MICCAI | Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. | Jun Li, Su Hwan Kim, Philip Mller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea |
| 2023 | CVPR | Why is the Winner the Best? | Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulm, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martn-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rdsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brngel, J. Cho, C. Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, lvaro Garca-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, lodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hlne Urien, Joo L. Vilaa, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jger, Annette Kopp-Schneider, Lena Maier-Hein |
| 2023 | MICCAI | Metrics to Quantify Global Consistency in Synthetic Medical Images. | Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten |
| 2023 | MICCAI | Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI. | Tom Albuquerque, Mei Ling Fang, Benedikt Wiestler, Claire Delbridge, Maria Joo M. Vasconcelos, Jaime S. Cardoso, Peter J. Schffler |
| 2023 | MICCAI | Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. | Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel |
| 2023 | MICCAI | Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. | Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ans, Mark Mhlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler |
| 2023 | MICCAI | Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. | Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mhlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze |
| 2022 | MICCAI | Interpretable Vertebral Fracture Diagnosis. | Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab |
| 2021 | MICCAI | Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. | Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze |
| 2021 | MICCAI | Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. | Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze |
| 2020 | MICCAI | SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI. | Christoph Baur, Robert Graf, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab |
| 2020 | MICCAI | Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. | Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab |
| 2020 | MICCAI | Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns. | Maximilian Mller, Matthias Kohl, Stefan Braunewell, Florian Kofler, Benedikt Wiestler, Jan S. Kirschke, Bjrn H. Menze, Marie Piraud |
| 2019 | MICCAI | Graph Convolution Based Attention Model for Personalized Disease Prediction. | Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab |
| 2019 | MICCAI | DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. | Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze |
| 2018 | MICCAI | Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. | Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab |
| 2018 | MICCAI | Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases. | Miguel Molina-Romero, Benedikt Wiestler, Pedro A. Gmez, Marion I. Menzel, Bjoern H. Menze |
| 2017 | MICCAI | Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition. | Esther Alberts, Giles Tetteh, Stefano Trebeschi, Marie Bieth, Alexander Valentinitsch, Benedikt Wiestler, Claus Zimmer, Bjoern H. Menze |