Sulaiman Vesal

Lehrstuhl für Informatik 5 (Mustererkennung)

COPD classification in CT images using a 3D convolutional neural network (2020) Ahmed J, Vesal S, Durlak F, Kaergel R, Ravikumar N, Rémy-Jardin M, Maier A Conference contribution Deep learning-based denoising of mammographic images using physics-driven data augmentation (2020) Eckert D, Vesal S, Ritschl L, Kappler S, Maier A Conference contribution Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation (2019) Vesal S, Ravikumar N, Maier A Conference contribution, Conference Contribution Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability (2019) Kaiser N, Fieselmann A, Vesal S, Ravikumar N, Ritschl L, Kappler S, Maier A Conference contribution Dilated deeply supervised networks for hippocampus segmentation in MRI (2019) Folle L, Vesal S, Ravikumar N, Maier A Conference contribution A 2D dilated residual U-net for multi-organ segmentation in thoracic CT (2019) Vesal S, Ravikumar N, Maier A Conference contribution Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI (2019) Vesal S, Ravikumar N, Maier A Conference contribution Classification of Breast Cancer Histology Images Using Transfer Learning (2018) Vesal S, Ravikumar N, Davari A, Ellmann S, Maier A Conference contribution, Original article Comparative analysis of unsupervised algorithms for breast MRI lesion segmentation (2018) Vesal S, Ravikumar N, Ellmann S, Maier A Conference contribution SkinNet: A Deep Learning Framework for Skin Lesion Segmentation (2018) Vesal S, Ravikumar N, Maier A Conference contribution