Bjoern H. Menze
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
98
Venues
9
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
98 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation. | Bastian Wittmann, Yannick Wattenberg, Tamaz Amiranashvili, Suprosanna Shit, Bjoern H. Menze |
| 2025 | MICCAI | Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization. | Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert |
| 2025 | MICCAI | fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting. | Alicia Durrer, Florentin Bieder, Paul Friedrich, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler |
| 2025 | MICCAI | VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation. | Daniele Falcetta, Vincenzo Marcian, Kaiyuan Yang, Jon O. Cleary, Loc Legris, Massimiliano Domenico Rizzaro, Ioannis Pitsiorlas, Hava Chaptoukaev, Benjamin Lemasson, Bjoern H. Menze, Maria A. Zuluaga |
| 2025 | MICCAI | Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling. | Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili, Hongwei Bran Li, Bjoern H. Menze |
| 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 | BMVC | Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning. | Francesco Girlanda, Olga V. Demler, Bjoern H. Menze, Neda Davoudi |
| 2024 | ECCV | GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes. | Ibrahim Ethem Hamamci, Sezgin Er, Anjany Sekuboyina, Enis Simsar, Alperen Tezcan, Ayse Gulnihan Simsek, Sevval Nil Esirgun, Furkan Almas, Irem Dogan, Muhammed Furkan Dasdelen, Chinmay Prabhakar, Hadrien Reynaud, Sarthak Pati, Christian Bluethgen, Mehmet Kemal zdemir, Bjoern H. Menze |
| 2024 | ICPR | GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. | Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl |
| 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 | CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging. | Ibrahim Ethem Hamamci, Sezgin Er, Bjoern H. Menze |
| 2024 | MICCAI | Predicting Stroke Through Retinal Graphs and Multimodal Self-supervised Learning. | Yuqing Huang, Bastian Wittmann, Olga V. Demler, Bjoern H. Menze, Neda Davoudi |
| 2024 | MICCAI | 3D Vessel Graph Generation Using Denoising Diffusion. | Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze |
| 2024 | MICCAI | FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. | Malte Tlle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt |
| 2024 | MICCAI | Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images. | Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wlchli, Daniel Razansky, Bjoern H. Menze |
| 2024 | WACV | Link Prediction for Flow-Driven Spatial Networks. | Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze |
| 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 | ICML | Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes. | Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer |
| 2023 | MICCAI | Diffusion-Based Hierarchical Multi-label Object Detection to Analyze Panoramic Dental X-Rays. | Ibrahim Ethem Hamamci, Sezgin Er, Enis Simsar, Anjany Sekuboyina, Mustafa Gundogar, Bernd Stadlinger, Albert Mehl, Bjoern H. Menze |
| 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 | ECCV | Relationformer: A Unified Framework for Image-to-Graph Generation. | Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze |
| 2022 | MICCAI | AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis. | Xiaobin Hu, Ruolin Shen, Donghao Luo, Ying Tai, Chengjie Wang, Bjoern H. Menze |
| 2022 | MICCAI | Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations. | David Ldke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze, Stefan Zachow |
| 2022 | MICCAI | Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs. | Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert |
| 2022 | WACV | METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. | Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertrk, Bjoern H. Menze |
| 2021 | CVPR | clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. | Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze |
| 2021 | ICCV | Pyramid Architecture Search for Real-Time Image Deblurring. | Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze |
| 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 | CVPR | Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. | Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao |
| 2020 | ECCV | Face Super-Resolution Guided by 3D Facial Priors. | Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern H. Menze, Wei Liu |
| 2020 | ICPR | Cross-View Relation Networks for Mammogram Mass Detection. | Jiechao Ma, Xiang Li, Hongwei Li, Ruixuan Wang, Bjoern H. Menze, Wei-Shi Zheng |
| 2020 | MICCAI | Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement. | Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jrgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze |
| 2020 | MICCAI | Inferring the 3D Standing Spine Posture from 2D Radiographs. | Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze |
| 2020 | MICCAI | A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. | Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze |
| 2020 | MICCAI | Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. | Malek El Husseini, Anjany Sekuboyina, Maximilian Lffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke |
| 2020 | MICCAI | Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. | Hongwei Li, Jianguo Zhang, Bjoern H. Menze |
| 2020 | MICCAI | Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging. | Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze |
| 2020 | MICCAI | Differentiable Deconvolution for Improved Stroke Perfusion Analysis. | Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze |
| 2020 | MICCAI | Aν-Net: Automatic Detection and Segmentation of Aneurysm. | Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Bjoern H. Menze |
| 2019 | MICCAI | Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape. | Amirhossein Bayat, Anjany Sekuboyina, Felix Hofmann, Malek El Husseini, Jan S. Kirschke, Bjoern H. Menze |
| 2019 | MICCAI | Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation. | Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze |
| 2019 | MICCAI | Neural Parameters Estimation for Brain Tumor Growth Modeling. | Ivan Ezhov, Jana Lipkov, Suprosanna Shit, Florian Kofler, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier, Bjoern H. Menze |
| 2019 | MICCAI | Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures. | Malek El Husseini, Anjany Sekuboyina, Amirhossein Bayat, Bjoern H. Menze, Maximilian Lffler, Jan S. Kirschke |
| 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 |
| 2019 | MICCAI | Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. | Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze |
| 2019 | MICCAI | Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. | Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Lffler, Jan S. Kirschke, Bjoern H. Menze |
| 2019 | MICCAI | Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. | Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern H. Menze |
| 2018 | ICPR | Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. | Yu Zhao, Hongwei Li, Rong Zhou, Giles Tetteh, Marc Niethammer, Bjoern H. Menze |
| 2018 | MICCAI | Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function. | Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud |
| 2018 | MICCAI | Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net. | Hongwei Li, Andrii Zhygallo, Bjoern H. Menze |
| 2018 | MICCAI | Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. | Hongwei Li, Jianguo Zhang, Mark Mhlau, Jan Kirschke, Bjoern H. Menze |
| 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 |
| 2018 | MICCAI | How to Exploit Weaknesses in Biomedical Challenge Design and Organization. | Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Mller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein |
| 2018 | MICCAI | Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. | Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze |
| 2018 | MICCAI | DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning. | Cagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze |
| 2018 | MICCAI | Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. | Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze |
| 2017 | ICCV | Efficient Algorithms for Moral Lineage Tracing. | Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres |
| 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 |
| 2017 | MICCAI | From Large to Small Organ Segmentation in CT Using Regional Context. | Marie Bieth, Esther Alberts, Markus Schwaiger, Bjoern H. Menze |
| 2017 | MICCAI | Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning. | Dhritiman Das, Eduardo Coello, Rolf F. Schulte, Bjoern H. Menze |
| 2017 | MICCAI | Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates. | Johannes Hofmanninger, Bjoern H. Menze, Marc-Andr Weber, Georg Langs |
| 2017 | MICCAI | Uncertainty Estimation in Vascular Networks. | Markus Rempfler, Bjoern Andres, Bjoern H. Menze |
| 2017 | MICCAI | Cell Lineage Tracing in Lens-Free Microscopy Videos. | Markus Rempfler, Sanjeev Kumar, Valentin Stierle, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze |
| 2017 | MICCAI | Attention-Driven Deep Learning for Pathological Spine Segmentation. | Anjany Sekuboyina, Jan Kukacka, Jan S. Kirschke, Bjoern H. Menze, Alexander Valentinitsch |
| 2017 | MICCAI | Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. | Giles Tetteh, Markus Rempfler, Claus Zimmer, Bjoern H. Menze |
| 2017 | MICCAI | W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. | Lina Xu, Giles Tetteh, Mona Mustafa, Jana Lipkov, Yu Zhao, Marie Bieth, Patrick Ferdinand Christ, Marie Piraud, Bjoern H. Menze, Kuangyu Shi |
| 2016 | ACCV | An Online Algorithm for Efficient and Temporally Consistent Subspace Clustering. | Vasileios Zografos, Kai Krajsek, Bjoern H. Menze |
| 2016 | ECCV | Human-Drone-Interaction: A Case Study to Investigate the Relation Between Autonomy and User Experience. | Patrick Ferdinand Christ, Florian Lachner, Axel Hsl, Bjoern H. Menze, Klaus Diepold, Andreas Butz |
| 2016 | MICCAI | Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. | Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze |
| 2016 | MICCAI | Spatially Adaptive Spectral Denoising for MR Spectroscopic Imaging using Frequency-Phase Non-local Means. | Dhritiman Das, Eduardo Coello, Rolf F. Schulte, Bjoern H. Menze |
| 2016 | MICCAI | Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting. | Pedro A. Gmez, Miguel Molina-Romero, Cagdas Ulas, Guido Bounincontri, Jonathan I. Sperl, Derek K. Jones, Marion I. Menzel, Bjoern H. Menze |
| 2016 | MICCAI | The Minimum Cost Connected Subgraph Problem in Medical Image Analysis. | Markus Rempfler, Bjoern Andres, Bjoern H. Menze |
| 2016 | MICCAI | Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. | Cagdas Ulas, Pedro A. Gmez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel, Bjoern H. Menze |
| 2015 | BMVC | Anatomical triangulation: from sparse landmarks to dense annotation of the skeleton in CT images. | Marie Bieth, Rene Donner, Georg Langs, Markus Schwaiger, Bjoern H. Menze |
| 2015 | MICCAI | A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences. | Esther Alberts, Guillaume Charpiat, Yuliya Tarabalka, Thomas Huber, Marc-Andr Weber, Jan S. Bauer, Claus Zimmer, Bjoern H. Menze |
| 2015 | MICCAI | Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories. | Alexandra Derntl, Claudia Plant, Philipp Gruber, Susanne Wegener, Jan S. Bauer, Bjoern H. Menze |
| 2015 | MICCAI | Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation. | Pavel Dvork, Bjoern H. Menze |
| 2015 | MICCAI | Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing. | Pedro A. Gmez, Cagdas Ulas, Jonathan I. Sperl, Tim Sprenger, Miguel Molina-Romero, Marion I. Menzel, Bjoern H. Menze |
| 2015 | MICCAI | Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations. | Markus Krenn, Matthias Dorfer, Oscar Alfonso Jimnez del Toro, Henning Mller, Bjoern H. Menze, Marc-Andr Weber, Allan Hanbury, Georg Langs |
| 2015 | MICCAI | Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). | Henning Mller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas |
| 2015 | MICCAI | Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images. | Vasileios Zografos, Alexander Valentinitsch, Markus Rempfler, Federico Tombari, Bjoern H. Menze |
| 2014 | MICCAI | Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). | Henning Mller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas |
| 2014 | MICCAI | Extracting Vascular Networks under Physiological Constraints via Integer Programming. | Markus Rempfler, Matthias Schneider, Giovanna D. Ielacqua, Xianghui Xiao, Stuart R. Stock, Jan Klohs, Gbor Szkely, Bjoern Andres, Bjoern H. Menze |
| 2014 | MICCAI | TGIF: Topological Gap In-Fill for Vascular Networks - A Generative PhysiologicalModeling Approach. | Matthias Schneider, Sven Hirsch, Bruno Weber, Gbor Szkely, Bjoern H. Menze |
| 2013 | BMVC | Enforcing Monotonous Shape Growth or Shrinkage in Video Segmentation. | Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern H. Menze |
| 2013 | MICCAI | Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. | Florian Dittmann, Bjoern H. Menze, Ender Konukoglu, Jan Unkelbach |
| 2013 | MICCAI | Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. | Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, Xavier Pennec |
| 2013 | MICCAI | Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013). | Henning Mller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Zhuowen Tu, Oscar Alfonso Jimnez del Toro |
| 2012 | MICCAI | Fast Anatomical Structure Localization Using Top-Down Image Patch Regression. | Ren Donner, Bjoern H. Menze, Horst Bischof, Georg Langs |
| 2012 | MICCAI | Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model. | Ezequiel Geremia, Bjoern H. Menze, Marcel Prastawa, Marc-Andr Weber, Antonio Criminisi, Nicholas Ayache |
| 2012 | MICCAI | VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions. | Georg Langs, Allan Hanbury, Bjoern H. Menze, Henning Mller |
| 2012 | MICCAI | Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering. | Matthias Schneider, Sven Hirsch, Gbor Szkely, Bruno Weber, Bjoern H. Menze |
| 2012 | MICCAI | Predicting the Location of Glioma Recurrence after a Resection Surgery. | Erin Stretton, Emmanuel Mandonnet, Ezequiel Geremia, Bjoern H. Menze, Herv Delingette, Nicholas Ayache |
| 2010 | MICCAI | Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. | Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache |
| 2010 | MICCAI | Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations. | Frederik O. Kaster, Bjoern H. Menze, Marc-Andr Weber, Fred A. Hamprecht |
| 2010 | MICCAI | A Generative Model for Brain Tumor Segmentation in Multi-Modal Images. | Bjoern H. Menze, Koenraad Van Leemput, Danial Lashkari, Marc-Andr Weber, Nicholas Ayache, Polina Golland |
| 2006 | CVPR | Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM. | B. Michael Kelm, Natalie Mueller, Bjoern H. Menze, Fred A. Hamprecht |