Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset

Oct 29, 2020
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 Menze, Meritxell Bach Cuadra, Andras Jakab

* Paper currently under review 

  Access Paper or Ask Questions

Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks

Oct 27, 2020
Hongwei Li, Rameshwara G. N. Prasad, Anjany Sekuboyina, Chen Niu, Siwei Bai, Werner Hemmert, Bjoern Menze

* submitted it to a conference 

  Access Paper or Ask Questions

AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning

Oct 04, 2020
Ezequiel de la Rosa, Diana M. Sima, Bjoern Menze, Jan S. Kirschke, David Robben

* Preprint submitted to Elsevier 

  Access Paper or Ask Questions

Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation

Sep 15, 2020
Hongwei Li, Jianguo Zhang, Bjoern Menze

* method description of our solution in M&M segmentation challenge, STACOM 2020 

  Access Paper or Ask Questions

Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum

Aug 08, 2020
Hongwei Li, Aurore Menegaux, Felix JB Bäuerlein, Suprosanna Shit, Benita Schmitz-Koep, Christian Sorg, Bjoern Menze, Dennis Hedderich

* submitted to a journal 

  Access Paper or Ask Questions

Face Super-Resolution Guided by 3D Facial Priors

Jul 18, 2020
Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu

* Accepted as a spotlight paper, European Conference on Computer Vision 2020 (ECCV) 

  Access Paper or Ask Questions

A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images

Jul 10, 2020
Stefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern Menze

* Accepted at International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020 

  Access Paper or Ask Questions

Feedback Graph Attention Convolutional Network for Medical Image Enhancement

Jun 24, 2020
Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Yu Zhao, Amirhossein Bayat, Bjoern Menze

* Magnetic resonance imaging and image enhancement and distortions degrading MRI and graph similarity branch and feedback mechanism 

  Access Paper or Ask Questions

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective

Apr 30, 2020
Ahmad B Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipkova, Hongwei Li, Bjoern Menze


  Access Paper or Ask Questions

e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation

Jan 25, 2020
Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern Menze

* under review and polishment 

  Access Paper or Ask Questions

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders

Jan 23, 2020
Mohammad Golbabaee, Guido Bounincontri, Carolin Pirkl, Marion Menzel, Bjoern Menze, Mike Davies, Pedro Gomez


  Access Paper or Ask Questions

ModelHub.AI: Dissemination Platform for Deep Learning Models

Nov 26, 2019
Ahmed Hosny, Michael Schwier, Christoph Berger, Evin P Örnek, Mehmet Turan, Phi V Tran, Leon Weninger, Fabian Isensee, Klaus H Maier-Hein, Richard McKinley, Michael T Lu, Udo Hoffmann, Bjoern Menze, Spyridon Bakas, Andriy Fedorov, Hugo JWL Aerts


  Access Paper or Ask Questions

Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee

Oct 09, 2019
Suprosanna Shit, Abinav Ravi Venkatakrishnan, Ivan Ezhov, Jana Lipkova, Marie Piraud, Bjoern Menze

* Accepted in NeurIPS 2019 Workshop on Machine Learning with Guarantees 

  Access Paper or Ask Questions

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation

Aug 28, 2019
Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern Menze

* 9 pages, 4 figures, conference 

  Access Paper or Ask Questions

Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation

Aug 14, 2019
Fernando Navarro, Suprosanna Shit, Ivan Ezhov, Johannes Paetzold, Andrei Gafita, Jan Peeken, Stephanie Combs, Bjoern Menze

* Accepted in MLMI Workshop 2019 MICCAI 

  Access Paper or Ask Questions

Neural parameters estimation for brain tumor growth modeling

Jul 01, 2019
Ivan Ezhov, Jana Lipkova, Suprosanna Shit, Florian Kofler, Nore Collomb, Benjamin Lemasson, Emmanuel Barbier, Bjoern Menze


  Access Paper or Ask Questions

DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis

Apr 29, 2019
Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze


  Access Paper or Ask Questions

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Feb 25, 2019
Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan H. Heckers, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso


  Access Paper or Ask Questions

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans

Nov 14, 2018
Ezequiel de la Rosa, Diana M. Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern Menze

* Submitted to ISBI 2019 

  Access Paper or Ask Questions

Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net

Nov 10, 2018
Hongwei Li, Andrii Zhygallo, Bjoern Menze

* to be appeared in MICCAI post-proceedings (BrainLes workshop) 

  Access Paper or Ask Questions

Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images

Sep 19, 2018
Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern Menze

* Neuroimage. 2018 Aug 17. pii: S1053-8119(18)30597-4 
* final version in NeuroImage 

  Access Paper or Ask Questions

Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation

Aug 29, 2018
Hongwei Li, Jianguo Zhang, Mark Muehlau, Jan Kirschke, Bjoern Menze

* accepted by MICCAI brain lesion workshop 

  Access Paper or Ask Questions

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks

Jun 19, 2018
Hongwei Li, Kanru Lin, Maximilian Reichert, Lina Xu, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern Menze, Kuangyu Shi

* submitted to miccai 2017, *corresponding author: [email protected] 

  Access Paper or Ask Questions

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach

Apr 30, 2018
Xu Han, Roland Kwitt, Stephen Aylward, Spyridon Bakas, Bjoern Menze, Alexander Asturias, Paul Vespa, John Van Horn, Marc Niethammer


  Access Paper or Ask Questions

Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints

Aug 25, 2017
Cagdas Ulas, Christine Preibisch, Jonathan Sperl, Thomas Pyka, Jayashree Kalpathy-Cramer, Bjoern Menze

* Submission to IEEE Transactions on Medical Imaging (August 2017) 

  Access Paper or Ask Questions

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Feb 23, 2017
Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaera, Jana Lipkova, 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 Sommer, Rickmer Braren, Volker Heinemann, Bjoern Menze

* Under Review 

  Access Paper or Ask Questions

SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks

Feb 20, 2017
Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern Menze

* Accepted at IEEE ISBI 2017 

  Access Paper or Ask Questions