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ORCIDBjoern H. Menze
Bjoern Holger Menze – Björn H. Menze
Person information
- affiliation: TU Munich, Faculty of Computer Science
- affiliation: ETH Zurich, Computer Vision Laboratory
- affiliation: Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory
- affiliation: Harvard University, Department of Anthropology
- affiliation: University of Heidelberg, Interdisciplinary Center for Computing (IWR)
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2020 – today
- 2020
[j25]Xiaobin Hu
, Rui Guo, Jieneng Chen, Hongwei Li, Diana Waldmannstetter, Yu Zhao, Biao Li, Kuangyu Shi, Bjoern H. Menze:
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. IEEE J. Biomed. Health Informatics 24(9): 2599-2608 (2020)- [c93]Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao:
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. CVPR 2020: 4836-4845 - [c92]Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze:
Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging. PRIME@MICCAI 2020: 46-57 - [c91]Maximilian Möller, Matthias Kohl, Stefan Braunewell, Florian Kofler, Benedikt Wiestler, Jan S. Kirschke, Björn H. Menze, Marie Piraud:
Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns. iMIMIC/MIL3iD/LABELS@MICCAI 2020: 63-72 - [c90]Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze:
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. MICCAI (6) 2020: 309-319 - [c89]Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze:
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. MICCAI (7) 2020: 593-602 - [c88]Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke:
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. MICCAI (6) 2020: 733-742 - [c87]Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze:
Inferring the 3D Standing Spine Posture from 2D Radiographs. MICCAI (6) 2020: 775-784 - [c86]Diana Waldmannstetter, Fernando Navarro, Benedikt Wiestler, Jan S. Kirschke, Anjany Sekuboyina, Ester Molero, Bjoern H. Menze:
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. WBIR 2020: 81-90 - [i52]Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez:
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR abs/2001.08746 (2020) - [i51]Anjany Sekuboyina, Amirhossein Bayat, Malek El Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachow, Tao Jiang, XinJun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareauq, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark. CoRR abs/2001.09193 (2020) - [i50]Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation. CoRR abs/2001.09313 (2020) - [i49]Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Andrey Zhylka, Ivan Ezhov, Alexander Unger, Josien P. W. Pluim, Giles Tetteh, Bjoern H. Menze:
clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. CoRR abs/2003.07311 (2020) - [i48]Ahmad B. Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, Bjoern H. Menze:
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. CoRR abs/2004.10734 (2020) - [i47]Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Deep Reinforcement Learning for Organ Localization in CT. CoRR abs/2005.04974 (2020) - [i46]Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Yu Zhao, Amirhossein Bayat, Bjoern H. Menze:
Feedback Graph Attention Convolutional Network for Medical Image Enhancement. CoRR abs/2006.13863 (2020) - [i45]Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze:
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images. CoRR abs/2007.05324 (2020) - [i44]Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze:
Inferring the 3D Standing Spine Posture from 2D Radiographs. CoRR abs/2007.06612 (2020) - [i43]Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern H. Menze, Wei Liu:
Face Super-Resolution Guided by 3D Facial Priors. CoRR abs/2007.09454 (2020) - [i42]Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. CoRR abs/2008.01216 (2020) - [i41]Hongwei Li, Aurore Menegaux, Felix J. B. Bäuerlein, Suprosanna Shit, Benita Schmitz-Koep, Christian Sorg, Bjoern H. Menze, Dennis M. Hedderich:
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum. CoRR abs/2008.03465 (2020) - [i40]Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke:
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection. CoRR abs/2008.07831 (2020) - [i39]Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Fernando Navarro, Marie Metz, Benedikt Wiestler, Björn H. Menze:
Real-time Bayesian personalization via a learnable brain tumor growth model. CoRR abs/2009.04240 (2020) - [i38]Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jürgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze:
Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement. CoRR abs/2009.10769 (2020) - [i37]Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze:
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging. CoRR abs/2009.11090 (2020) - [i36]Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben:
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning. CoRR abs/2010.01617 (2020)
2010 – 2019
- 2019
- [j24]Marie Piraud, Markus Wennmann, Laurent Kintzelé, Jens Hillengass, Ulrich Keller, Georg Langs, Marc-André Weber, Björn H. Menze:
Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma. Medical Image Anal. 57: 214-225 (2019) - [j23]Yu Zhao, Hongwei Li, Shaohua Wan, Anjany Sekuboyina, Xiaobin Hu, Giles Tetteh, Marie Piraud, Bjoern H. Menze:
Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. IEEE J. Biomed. Health Informatics 23(4): 1363-1373 (2019) - [j22]Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze:
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. IEEE Trans. Medical Imaging 38(8): 1875-1884 (2019) - [c85]Florian Kofler, Johannes C. Paetzold, Ivan Ezhov, Suprosanna Shit, Daniel Krahulec, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information. BrainLes@MICCAI (1) 2019: 254-261 - [c84]Yu Zhao, Andrei Gafita, Giles Tetteh, Fabian Haupt, Ali Afshar-Oromieh, Bjoern H. Menze, Matthias Eiber, Axel Rominger, Kuangyu Shi:
Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. EMBC 2019: 951-954 - [c83]Hongwei Li, Maximilian Reichert, Kanru Lin, Nikita Tselousov, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern H. Menze, Kuangyu Shi:
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. EMBC 2019: 2095-2098 - [c82]Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Björn H. Menze:
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. ISBI 2019: 732-735 - [c81]Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern H. Menze:
Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. MICCAI (6) 2019: 22-30 - [c80]Malek El Husseini, Anjany Sekuboyina, Amirhossein Bayat, Bjoern H. Menze, Maximilian Löffler, Jan S. Kirschke:
Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures. CSI@MICCAI 2019: 29-38 - [c79]Amirhossein Bayat, Anjany Sekuboyina, Felix Hofmann, Malek El Husseini, Jan S. Kirschke, Bjoern H. Menze:
Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape. CSI@MICCAI 2019: 39-46 - [c78]Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation. STACOM@MICCAI 2019: 317-325 - [c77]Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Löffler, Jan S. Kirschke, Bjoern H. Menze:
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. MICCAI (6) 2019: 375-383 - [c76]Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. MLMI@MICCAI 2019: 620-627 - [c75]Ivan Ezhov, Jana Lipková, Suprosanna Shit, Florian Kofler, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier, Bjoern H. Menze:
Neural Parameters Estimation for Brain Tumor Growth Modeling. MICCAI (2) 2019: 787-795 - [c74]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. MICCAI (4) 2019: 795-803 - [c73]Jiechao Ma, Xiang Li, Hongwei Li, Bjoern H. Menze, Sen Liang, Rongguo Zhang, Wei-Shi Zheng:
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. MIDL 2019: 358-369 - [i35]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i34]Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. CoRR abs/1902.02205 (2019) - [i33]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i32]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis. CoRR abs/1904.12894 (2019) - [i31]Jiechao Ma, Sen Liang, Xiang Li, Hongwei Li, Bjoern H. Menze, Rongguo Zhang, Wei-Shi Zheng:
Cross-view Relation Networks for Mammogram Mass Detection. CoRR abs/1907.00528 (2019) - [i30]Ivan Ezhov, Jana Lipková, Suprosanna Shit, Florian Kofler, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier, Bjoern H. Menze:
Neural parameters estimation for brain tumor growth modeling. CoRR abs/1907.00973 (2019) - [i29]Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Löffler, Jan S. Kirschke, Bjoern H. Menze:
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. CoRR abs/1907.09254 (2019) - [i28]Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern H. Menze:
Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation. CoRR abs/1908.05099 (2019) - [i27]Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation. CoRR abs/1908.09298 (2019) - [i26]Suprosanna Shit, Abinav Ravi Venkatakrishnan, Ivan Ezhov, Jana Lipková, Marie Piraud, Bjoern H. Menze:
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee. CoRR abs/1910.03452 (2019) - [i25]Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts:
ModelHub.AI: Dissemination Platform for Deep Learning Models. CoRR abs/1911.13218 (2019) - 2018
- [j21]Markus Rempfler, Valentin Stierle, Konstantin Ditzel, Sanjeev Kumar, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze:
Tracing cell lineages in videos of lens-free microscopy. Medical Image Anal. 48: 147-161 (2018) - [j20]Xu Han, Roland Kwitt, Stephen R. Aylward, Spyridon Bakas, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer:
Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach. NeuroImage 176: 431-445 (2018) - [j19]Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. NeuroImage 183: 650-665 (2018) - [c72]Marie Piraud, Anjany Sekuboyina, Björn H. Menze:
Multi-level Activation for Segmentation of Hierarchically-Nested Classes. ECCV Workshops (6) 2018: 345-353 - [c71]Yu Zhao, Hongwei Li, Rong Zhou, Giles Tetteh, Marc Niethammer, Bjoern H. Menze:
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. ICPR 2018: 3880-3885 - [c70]Matthias Perkonigg, Johannes Hofmanninger, Björn H. Menze, Marc-André Weber, Georg Langs:
Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. DATRA/PIPPI@MICCAI 2018: 22-30 - [c69]Cagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze:
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning. MICCAI (1) 2018: 30-38 - [c68]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) 2018: 39-47 - [c67]Roxane Licandro, Johannes Hofmanninger, Marc-André Weber, Björn H. Menze, Georg Langs:
Predicting Future Bone Infiltration Patterns in Multiple Myeloma. Patch-MI@MICCAI 2018: 76-84 - [c66]Miguel Molina-Romero, Benedikt Wiestler, Pedro A. Gómez, Marion I. Menzel, Bjoern H. Menze:
Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases. MICCAI (3) 2018: 98-106 - [c65]Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud:
Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function. BrainLes@MICCAI (2) 2018: 116-127 - [c64]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. BrainLes@MICCAI (1) 2018: 199-207 - [c63]Hongwei Li, Andrii Zhygallo, Bjoern H. Menze:
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net. BrainLes@MICCAI (1) 2018: 385-393 - [c62]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 Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein:
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) 2018: 388-395 - [c61]Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. MICCAI (4) 2018: 649-657 - [e9]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Bjoern H. Menze, Mauricio Reyes:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10670, Springer 2018, ISBN 978-3-319-75237-2 [contents] - [i24]Hongwei Li, Gongfa Jiang, Ruixuan Wang, Jianguo Zhang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images. CoRR abs/1802.05203 (2018) - [i23]Giles Tetteh, Velizar Efremov, Nils D. Forkert, Matthias Schneider, Jan Kirschke, Bruno Weber, Claus Zimmer, Marie Piraud, Bjoern H. Menze:
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes. CoRR abs/1803.09340 (2018) - [i22]Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior. CoRR abs/1804.01307 (2018) - [i21]Marie Piraud, Anjany Sekuboyina, Bjoern H. Menze:
Multi-level Activation for Segmentation of Hierarchically-nested Classes. CoRR abs/1804.01910 (2018) - [i20]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR abs/1804.02745 (2018) - [i19]Cagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze:
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning. CoRR abs/1804.02755 (2018) - [i18]Dhritiman Das, Eduardo Coello, Rolf F. Schulte, Bjoern H. Menze:
Qunatification of Metabolites in MR Spectroscopic Imaging using Machine Learning. CoRR abs/1805.10201 (2018) - [i17]Hongwei Li, Kanru Lin, Maximilian Reichert, Lina Xu, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern Holger Menze, Kuangyu Shi:
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. CoRR abs/1806.01023 (2018) - [i16]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i15]Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze:
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. CoRR abs/1807.00499 (2018) - [i14]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. CoRR abs/1807.05153 (2018) - [i13]Hongwei Li, Andrii Zhygallo, Bjoern H. Menze:
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net. CoRR abs/1811.04312 (2018) - [i12]Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern H. Menze:
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. CoRR abs/1811.05699 (2018) - [i11]Jiechao Ma, Xiang Li, Hongwei Li, Bjoern H. Menze, Sen Liang, Rongguo Zhang, Wei-Shi Zheng:
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. CoRR abs/1812.07166 (2018) - 2017
- [j18]Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [j17]Marie Bieth, Loïc Peter, Stephan G. Nekolla, Matthias Eiber, Georg Langs, Markus Schwaiger, Bjoern H. Menze:
Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration. IEEE Trans. Medical Imaging 36(11): 2276-2286 (2017) - [c60]Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres:
Efficient Algorithms for Moral Lineage Tracing. ICCV 2017: 4705-4714 - [c59]Patrick Ferdinand Christ, Sebastian Schlecht, Florian Ettlinger, Felix Grün, Christoph Heinle, Sunil Tatavarty, Seyed-Ahmad Ahmadi, Klaus Diepold, Bjoern H. Menze:
Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks. ICCV Workshops 2017: 1526-1535 - [c58]Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze:
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks. ISBI 2017: 839-843 - [c57]Marie Bieth, Esther Alberts, Markus Schwaiger, Bjoern H. Menze:
From Large to Small Organ Segmentation in CT Using Regional Context. MLMI@MICCAI 2017: 1-9 - [c56]Markus Rempfler, Sanjeev Kumar, Valentin Stierle, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze:
Cell Lineage Tracing in Lens-Free Microscopy Videos. MICCAI (2) 2017: 3-11 - [c55]Lina Xu, Giles Tetteh, Mona Mustafa, Jana Lipková, Yu Zhao, Marie Bieth, Patrick Ferdinand Christ, Marie Piraud, Bjoern H. Menze, Kuangyu Shi:
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. CMMI/RAMBO/SWITCH@MICCAI 2017: 23-30 - [c54]Markus Rempfler, Bjoern Andres, Bjoern H. Menze:
Uncertainty Estimation in Vascular Networks. GRAIL/MFCA/MICGen@MICCAI 2017: 42-52 - [c53]Anjany Sekuboyina, Jan Kukacka, Jan S. Kirschke, Bjoern H. Menze, Alexander Valentinitsch:
Attention-Driven Deep Learning for Pathological Spine Segmentation. MSKI@MICCAI 2017: 108-119 - [c52]Esther Alberts, Giles Tetteh, Stefano Trebeschi, Marie Bieth, Alexander Valentinitsch, Benedikt Wiestler, Claus Zimmer, Bjoern H. Menze:
Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition. GRAIL/MFCA/MICGen@MICCAI 2017: 201-209 - [c51]Johannes Hofmanninger, Bjoern H. Menze, Marc-André Weber, Georg Langs:
Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates. DLMIA/ML-CDS@MICCAI 2017: 341-348 - [c50]Giles Tetteh, Markus Rempfler, Claus Zimmer, Bjoern H. Menze:
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. MLMI@MICCAI 2017: 344-352 - [c49]Dhritiman Das, Eduardo Coello, Rolf F. Schulte, Bjoern H. Menze:
Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning. MICCAI (3) 2017: 462-470 - [e8]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - [i10]Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres:
Efficient Algorithms for Moral Lineage Tracing. CoRR abs/1702.04111 (2017) - [i9]Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze:
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks. CoRR abs/1702.05941 (2017) - [i8]Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaer, Jana Lipková, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D'Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland H. Sommer, Rickmer Braren, Volker Heinemann, Bjoern H. Menze:
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. CoRR abs/1702.05970 (2017) - [i7]Anjany Sekuboyina, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets. CoRR abs/1703.04347 (2017) - [i6]Jana Lipková, Markus Rempfler, Patrick Ferdinand Christ, John S. Lowengrub, Bjoern H. Menze:
Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation. CoRR abs/1704.02348 (2017) - [i5]Giles Tetteh, Markus Rempfler, Bjoern H. Menze, Claus Zimmer:
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. CoRR abs/1704.03743 (2017) - [i4]Cagdas Ulas, Christine Preibisch, Jonathan Sperl, Thomas Pyka, Jayashree Kalpathy-Cramer, Bjoern Holger Menze:
Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints. CoRR abs/1708.07808 (2017) - [i3]Xu Han, Roland Kwitt, Stephen R. Aylward, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer:
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach. CoRR abs/1711.05702 (2017) - 2016
- [j16]Tsachi Hershkovich, Tamar Shalmon, Ohad Shitrit, Nir Halay, Bjoern H. Menze, Irit Dolgopyat, Itamar Kahn, Ilan Shelef, Tammy Riklin Raviv:
Probabilistic model for 3D interactive segmentation. Comput. Vis. Image Underst. 151: 47-60 (2016) - [j15]