Nishant Ravikumar

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

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 Improving Generalization Capability of Multiorgan Segmentation Models Using Dual-Energy CT (2022) Chen S, Zhong X, Dorn S, Ravikumar N, Tao Q, Huang X, Lell M, et al. Journal article Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images (2021) Zhong X, Amrehn M, Ravikumar N, Chen S, Strobel N, Birkhold A, Kowarschik M, et al. Journal article 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 Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks (2020) Rodriguez Salas D, Mürschberger N, Ravikumar N, Seuret M, Maier A Journal article, Original article ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees (2020) Rodriguez Salas D, Ravikumar N, Seuret M, Maier A Conference contribution, Conference Contribution Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification (2020) Vesal S, Gu M, Maier A, Ravikumar N Journal article, Original article 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 Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach (2020) Bayer S, Zhong X, Fu W, Ravikumar N, Maier A Conference contribution, Conference Contribution Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation (2019) Vesal S, Ravikumar N, Maier A Conference contribution, Conference Contribution