Sulaiman Vesal
TitleCited byYear
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
An effective and fast hybrid framework for color image retrieval
E Walia, S Vesal, A Pal
Sensing and Imaging 15 (1), 93, 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
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
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
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
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
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
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
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
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
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
arXiv preprint arXiv:2002.02870, 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
COPD Classification in CT Images Using a 3D Convolutional Neural Network
J Ahmed, S Vesal, F Durlak, R Kaergel, N Ravikumar, M Rémy-Jardin, ...
arXiv preprint arXiv:2001.01100, 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
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
KidNet: An Automated Framework for Renal Lesions Detection and Segmentation in CT Images
S Vesal, N Ravikumar, AK Maier
University of Minnesota Libraries Publishing, 2019
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
AA Davari, N Sakaltras, A Haeberle, S Vesal, V Christlein, A Maier, ...
2018 25th IEEE International Conference on Image Processing (ICIP), 3683-3687, 2018
Ein klinisch anwendbares Neuronales Netzwerk zur Klassifikation suspekter Läsionen in der Mamma-MRT
S Ellmann, C Bielowski, E Wenkel, S Vesal, A Maier, M Uder, T Bäuerle
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2018
A multi-stage fully convolutional network for cardiac MRI segmentation
S Vesal, A Maier, N Ravikumar
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Articles 1–20