Sulaiman Vesal
Sulaiman Vesal
Research Data Scientist | UC San Francisco
Verified email at fau.de - Homepage
Title
Cited by
Cited by
Year
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
382018
An effective and fast hybrid framework for color image retrieval
E Walia, S Vesal, A Pal
Sensing and Imaging 15 (1), 93, 2014
222014
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
192018
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
182018
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
132018
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
112019
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
72017
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
62019
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
52018
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
32020
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
32020
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
22020
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
22020
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
22017
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
12020
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
12019
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, 101832, 2020
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
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, ...
Bildverarbeitung für die Medizin 2020, 2020
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
2020
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Articles 1–20