| Classification of breast cancer histology images using transfer learning S Vesal, N Ravikumar, AA Davari, S Ellmann, A Maier International conference image analysis and recognition, 812-819, 2018 | 47 | 2018 |
| An effective and fast hybrid framework for color image retrieval E Walia, S Vesal, A Pal Sensing and Imaging 15 (1), 1-23, 2014 | 23 | 2014 |
| A multi-task framework for skin lesion detection and segmentation S Vesal, SM Patil, N Ravikumar, AK Maier OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018 | 21 | 2018 |
| Dilated convolutions in neural networks for left atrial segmentation in 3d gadolinium enhanced-mri S Vesal, N Ravikumar, A Maier International workshop on statistical atlases and computational models of …, 2018 | 19 | 2018 |
| SkinNet: A Deep Learning Framework for Skin Lesion Segmentation S Vesal, N Ravikumar, A Maier 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 15 | 2018 |
| A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT S Vesal, N Ravikumar, A Maier arXiv preprint arXiv:1905.07710, 2019 | 13 | 2019 |
| Dilated deeply supervised networks for hippocampus segmentation in MRI L Folle, S Vesal, N Ravikumar, A Maier Bildverarbeitung für die Medizin 2019, 68-73, 2019 | 8 | 2019 |
| GMM supervectors for limited training data in hyperspectral remote sensing image classification AA Davari, V Christlein, S Vesal, A Maier, C Riess International Conference on Computer Analysis of Images and Patterns, 296-306, 2017 | 8 | 2017 |
| Comparative analysis of unsupervised algorithms for breast MRI lesion segmentation S Vesal, N Ravikumar, S Ellman, A Maier Bildverarbeitung für die Medizin 2018, 257-262, 2018 | 5 | 2018 |
| Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ... arXiv preprint arXiv:2006.12434, 2020 | 4 | 2020 |
| Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses S Ellmann, E Wenkel, M Dietzel, C Bielowski, S Vesal, A Maier, ... Plos one 15 (1), e0228446, 2020 | 3 | 2020 |
| The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks FN Hatamian, N Ravikumar, S Vesal, FP Kemeth, M Struck, A Maier ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation S Vesal, N Ravikumar, A Maier International Workshop on Statistical Atlases and Computational Models of …, 2020 | 2 | 2020 |
| Semi-automatic algorithm for breast MRI lesion segmentation using marker-controlled watershed transformation S Vesal, A Diaz-Pinto, N Ravikumar, S Ellmann, A Davari, A Maier 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2017 | 2 | 2017 |
| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical Image Analysis 67, 101832, 2020 | 1 | 2020 |
| Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks S Vesal, N Ravikumar, A Maier Journal of Imaging 6 (7), 65, 2020 | 1 | 2020 |
| A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging Z Xiong, Q Xia, Z Hu, N Huang, S Vesal, N Ravikumar, A Maier, C Li, ... arXiv preprint arXiv:2004.12314, 2020 | 1 | 2020 |
| Deep learning-based denoising of mammographic images using physics-driven data augmentation D Eckert, S Vesal, L Ritschl, S Kappler, A Maier Bildverarbeitung für die Medizin 2020, 94-100, 2020 | 1 | 2020 |
| Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability N Kaiser, A Fieselmann, S Vesal, N Ravikumar, L Ritschl, S Kappler, ... Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019 | 1 | 2019 |
| Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification S Vesal, M Gu, A Maier, N Ravikumar IEEE Journal of Biomedical and Health Informatics, 2020 | | 2020 |
Andreas K. MaierUniversity of Erlangen-NurembergVerified email at informatik.uni-erlangen.de
