Sulaiman Vesal

Lehrstuhl für Informatik 5 (Mustererkennung)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge (2022) Zhuang X, Xu J, Luo X, Chen C, Ouyang C, Rueckert D, Campello VM, et al. Journal article Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation (2022) Gu M, Vesal S, Kosti RV, Maier A Conference contribution Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network (2021) Rodriguez Salas D, Seuret M, Vesal S, Maier A Conference contribution, Original article Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation (2021) Vesal S, Gu M, Kosti RV, Maier A, Ravikumar N Journal article Age Estimation on Panoramic Dental X-ray Images using Deep Learning (2021) Wallraff S, Vesal S, Syben-Leisner C, Lutz R, Maier A Conference contribution A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging (2021) Xiong Z, Xia Q, Hu Z, Huang N, Bian C, Zheng Y, Vesal S, et al. Journal article Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks (2020) Vesal S, Maier A, Ravikumar N Journal article, Original article Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses (2020) Ellmann S, Wenkel E, Dietzel M, Bielowski C, Vesal S, Maier A, Hammon M, et al. Journal article Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification (2020) Vesal S, Gu M, Maier A, Ravikumar N Journal article, Original article The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks (2020) Nejati Hatamian F, Ravikumar N, Vesal S, Kemeth FP, Struck M, Maier A Conference contribution