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Johannes C. Paetzold
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2020 – today
- 2024
- [j9]Tamara T. Mueller
, Dmitrii Usynin
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results. J. Priv. Confidentiality 14(1) (2024) - [j8]Linus Kreitner
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations. IEEE Trans. Medical Imaging 43(6): 2061-2073 (2024) - [j7]Hailong He
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers. IEEE Trans. Medical Imaging 43(6): 2074-2085 (2024) - [c32]Chinmay Prabhakar
3D Vessel Graph Generation Using Denoising Diffusion. MICCAI (11) 2024: 3-13 - [c31]Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wälchli, Daniel Razansky, Bjoern H. Menze:
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images. MICCAI (8) 2024: 645-655 - [c30]Alexander H. Berger
Topologically Faithful Multi-class Segmentation in Medical Images. MICCAI (8) 2024: 721-731 - [c29]Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze:
Link Prediction for Flow-Driven Spatial Networks. WACV 2024: 2460-2469 - [i45]Barry Shichen Hu, Siyun Liang, Johannes C. Paetzold, Huy H. Nguyen, Isao Echizen, Jiapeng Tang:
Surface Normal Estimation with Transformers. CoRR abs/2401.05745 (2024) - [i44]Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers. CoRR abs/2403.06601 (2024) - [i43]Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wälchli, Daniel Razansky, Bjoern H. Menze:
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images. CoRR abs/2403.07116 (2024) - [i42]Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topologically faithful multi-class segmentation in medical images. CoRR abs/2403.11001 (2024) - [i41]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i40]Robert Graf
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images. CoRR abs/2406.00125 (2024) - [i39]Nico Stucki, Vincent Bürgin, Johannes C. Paetzold, Ulrich Bauer:
Efficient Betti Matching Enables Topology-Aware 3D Segmentation via Persistent Homology. CoRR abs/2407.04683 (2024) - [i38]Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze:
3D Vessel Graph Generation Using Denoising Diffusion. CoRR abs/2407.05842 (2024) - [i37]Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern H. Menze:
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization. CoRR abs/2409.20409 (2024) - [i36]Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Moeller, Sophie Starck, Thomas Kröncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke:
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data. CoRR abs/2410.10220 (2024) - 2023
- [b1]Johannes C. Paetzold:
Whole Brain Vasculature Analysis Using Advanced Learning Models (Fortgeschrittene Machine Learning Konzepte für die Analyse der Blutgefäße des Hirns). Technical University of Munich, Germany, 2023 - [j6]Ivan Ezhov
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling. Medical Image Anal. 83: 102672 (2023) - [j5]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j4]Tamara T. Mueller
Differentially Private Graph Neural Networks for Whole-Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7308-7318 (2023) - [c28]Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert:
A skeletonization algorithm for gradient-based optimization. ICCV 2023: 21337-21346 - [c27]Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer:
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes. ICML 2023: 32698-32727 - [c26]Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. MICCAI (8) 2023: 226-236 - [c25]Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. MICCAI (7) 2023: 724-734 - [c24]Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li, Florian Sebastian Kofler, Bjoern H. Menze:
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images. MIDL 2023: 320-331 - [i35]Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Johannes C. Paetzold, Rebecca Kaye, Sophie Riedl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Lars Fritsche, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten:
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration. CoRR abs/2301.04525 (2023) - [i34]Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze:
Link Prediction for Flow-Driven Spatial Networks. CoRR abs/2303.14501 (2023) - [i33]Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold:
FedPIDAvg: A PID controller inspired aggregation method for Federated Learning. CoRR abs/2304.12117 (2023) - [i32]Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten:
Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs. CoRR abs/2306.10941 (2023) - [i31]Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. CoRR abs/2308.16863 (2023) - [i30]Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert:
A skeletonization algorithm for gradient-based optimization. CoRR abs/2309.02527 (2023) - [i29]Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.:
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR abs/2312.17670 (2023) - 2022
- [j3]Suprosanna Shit
SRflow: Deep learning based super-resolution of 4D-flow MRI data. Frontiers Artif. Intell. 5 (2022) - [j2]Ivan Ezhov
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. IEEE Trans. Medical Imaging 41(5): 1269-1278 (2022) - [c23]Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li, Tom Finck, Suprosanna Shit
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. BrainLes@MICCAI 2022: 3-13 - [c22]Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert:
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. BrainLes@MICCAI 2022: 14-24 - [c21]Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold:
FedPIDAvg: A PID Controller Inspired Aggregation Method for Federated Learning. BrainLes@MICCAI (2) 2022: 209-217 - [c20]Suprosanna Shit
Relationformer: A Unified Framework for Image-to-Graph Generation. ECCV (37) 2022: 422-439 - [c19]Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C. Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Bjoern H. Menze:
Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs. GeoMedIA 2022: 45-60 - [c18]Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten:
Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. MIDOG/DRAC@MICCAI 2022: 16-25 - [c17]Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis:
Can Collaborative Learning Be Private, Robust and Scalable? DeCaF/FAIR@MICCAI 2022: 37-46 - [c16]Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze
Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs. MICCAI (8) 2022: 330-340 - [c15]Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Felix Steinbauer
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling. ML4H@NeurIPS 2022: 566-577 - [c14]Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. WACV 2022: 3230-3240 - [i28]Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis:
Differentially Private Graph Classification with GNNs. CoRR abs/2202.02575 (2022) - [i27]Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis:
SoK: Differential Privacy on Graph-Structured Data. CoRR abs/2203.09205 (2022) - [i26]Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze:
Relationformer: A Unified Framework for Image-to-Graph Generation. CoRR abs/2203.10202 (2022) - [i25]Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze:
Casting the inverse problem as a database query. The case of personalized tumor growth modeling. CoRR abs/2205.04550 (2022) - [i24]Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. CoRR abs/2205.10355 (2022) - [i23]Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs. CoRR abs/2207.11102 (2022) - [i22]Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert:
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. CoRR abs/2208.10992 (2022) - [i21]Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten:
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias. CoRR abs/2210.16053 (2022) - [i20]Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer
Topologically faithful image segmentation via induced matching of persistence barcodes. CoRR abs/2211.15272 (2022) - [i19]Hongwei Bran Li, Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Tamaz Amiranashvili, Jianguo Zhang, Daniel Rueckert, Juan Eugenio Iglesias, Benedikt Wiestler, Bjoern H. Menze:
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images. CoRR abs/2212.01577 (2022) - 2021
- [j1]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [c13]Lucas Fidon, Suprosanna Shit
Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge. BrainLes@MICCAI (2) 2021: 187-196 - [c12]Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit
FedCostWAvg: A New Averaging for Better Federated Learning. BrainLes@MICCAI (2) 2021: 383-391 - [c11]Suprosanna Shit
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. CVPR 2021: 16560-16569 - [c10]Suprosanna Shit
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities. IPMI 2021: 545-558 - [c9]Alina Dima, Johannes C. Paetzold, Friederike Jungmann
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. MLMI@MICCAI 2021: 596-605 - [c8]Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Anjany Sekuboyina, Mihail I. Todorov, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze:
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience. NeurIPS Datasets and Benchmarks 2021 - [i18]Fabian Balsiger, Alain Jungo, Naren Akash R. J, Jianan Chen, Ivan Ezhov, Shengnan Liu, Jun Ma, Johannes C. Paetzold, Vishva Saravanan R, Anjany Sekuboyina, Suprosanna Shit, Yannick Suter, Moshood Yekini, Guodong Zeng, Markus Rempfler:
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. CoRR abs/2103.05437 (2021) - [i17]Florian Kofler, Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner, Johannes C. Paetzold, Hongwei Li, Suprosanna Shit, Richard McKinley, Spyridon Bakas, Claus Zimmer, Donna P. Ankerst, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze:
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient. CoRR abs/2103.06205 (2021) - [i16]Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertuerk, Bjoern H. Menze:
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. CoRR abs/2104.10993 (2021) - [i15]Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Mihail I. Todorov, Anjany Sekuboyina, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze:
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph). CoRR abs/2108.13233 (2021) - [i14]Suprosanna Shit, Ivan Ezhov, Leon Mächler, Abinav R., Jana Lipková, Johannes C. Paetzold, Florian Kofler, Marie Piraud, Bjoern H. Menze:
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations. CoRR abs/2109.01467 (2021) - [i13]Giles Tetteh, Fernando Navarro, Johannes C. Paetzold, Jan Kirschke, Claus Zimmer, Bjoern H. Menze:
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images. CoRR abs/2110.12508 (2021) - [i12]Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipková, Florian Kofler, Johannes C. Paetzold, Luca Canalini, Diana Waldmannstetter, Martin J. Menten, Marie Metz, Benedikt Wiestler, Bjoern H. Menze:
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling. CoRR abs/2111.04090 (2021) - [i11]Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Timo Loehr, Benedikt Wiestler, Bjoern H. Menze:
FedCostWAvg: A new averaging for better Federated Learning. CoRR abs/2111.08649 (2021) - [i10]Lucas Fidon, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge. CoRR abs/2112.13054 (2021) - 2020
- [c7]Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Bjoern H. Menze
Aν-Net: Automatic Detection and Segmentation of Aneurysm. CADA@MICCAI 2020: 51-57 - [c6]Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos
A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. MICCAI (6) 2020: 309-319 - [c5]Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler
Inferring the 3D Standing Spine Posture from 2D Radiographs. MICCAI (6) 2020: 775-784 - [c4]Ahmad Bin 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. MIDL 2020: 655-668 - [i9]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i8]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) - [i7]Ahmad Bin 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) - [i6]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) - [i5]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) - [i4]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) - [i3]Kelly Payette, Priscille de Dumast, Hamza Kebiri, Ivan Ezhov, Johannes C. Paetzold, Suprosanna Shit, Asim Iqbal, Romesa Khan, Raimund Kottke, Patrice Grehten, Hui Ji, Levente Lanczi, Marianna Nagy, Monika Beresova, Thi Dao Nguyen, Giancarlo Natalucci, Theofanis Karayannis, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset. CoRR abs/2010.15526 (2020)
2010 – 2019
- 2019
- [c3]Florian Kofler, Johannes C. Paetzold, Ivan Ezhov, Suprosanna Shit
A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information. BrainLes@MICCAI (1) 2019: 254-261 - [c2]Fernando Navarro, Suprosanna Shit
Shape-Aware Complementary-Task Learning for Multi-organ Segmentation. MLMI@MICCAI 2019: 620-627 - [c1]Hongwei Li
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. MICCAI (4) 2019: 795-803 - [i2]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) - [i1]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)
Coauthor Index
Florian Kofler
aka: Florian Sebastian Kofler
aka: Florian Sebastian Kofler
Hongwei Li 0004
aka: Hongwei Bran Li
aka: Hongwei Bran Li
Bjoern H. Menze
aka: Björn H. Menze
aka: Björn H. Menze
[j8] [j7] [c32] [c31] [c29] [i43] [i41] [i38] [i37] [j6] [j5] [c27] [c26] [c24] [i34] [i32] [i31] [j3] [j2] [c23] [c20] [c19] [c16] [c15] [c14] [i26] [i25] [i24] [i23] [i20] [i19] [j1] [c12] [c11] [c10] [c8] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c7] [c6] [c5] [c4] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [c3] [c2] [c1] [i2] [i1]
Daniel Rueckert
aka: Daniel Rückert
aka: Daniel Rückert
[j7] [c32] [c30] [i44] [i42] [i41] [i38] [j6] [j5] [c28] [c27] [c24] [i33] [i30] [i29] [j3] [j2] [c23] [c21] [c20] [c19] [c15] [c14] [i26] [i25] [i24] [i20] [i19] [j1] [c13] [c12] [c11] [c10] [c8] [i18] [i17] [i16] [i15] [i14] [i12] [i11] [i10] [c7] [c6] [c4] [i9] [i8] [i7] [i6] [i4] [i3] [c3] [c2] [i1]
Benedikt Wiestler
aka: Bene Wiestler
aka: Bene Wiestler
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