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Journal of Imaging|August 30, 2021
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural NetworksSulaiman Vesal, Andreas Maier, Nishant Ravikumar
IEEE Journal of Biomedical and Health Informatics|December 22, 2020
Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle QuantificationSulaiman Vesal, Mingxuan Gu, Andreas Maier, et al.
IEEE Transactions on Medical Imaging|March 17, 2021
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image SegmentationSulaiman Vesal, Mingxuan Gu, Ronak Kosti, et al.
Materials (Basel, Switzerland)|April 3, 2019
Determination of Forming Limits in Sheet Metal Forming Using Deep LearningChristian Jaremenko, Nishant Ravikumar, Emanuela Affronti, et al.
Scientific Reports|February 9, 2021
Deep action learning enables robust 3D segmentation of body organs in various CT and MRI imagesXia Zhong, Mario Amrehn, Nishant Ravikumar, et al.
International Journal of Computer Assisted Radiology and Surgery|June 9, 2019
Registration of vascular structures using a hybrid mixture modelSiming Bayer, Zhiwei Zhai, Maddalena Strumia, et al.
Medical Image Analysis|January 26, 2022
Learning to complete incomplete hearts for population analysis of cardiac MR imagesYan Xia, Nishant Ravikumar, Alejandro F Frangi
Plos One|January 31, 2020
Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast massesStephan Ellmann, Evelyn Wenkel, Matthias Dietzel, et al.
Medical Image Analysis|May 17, 2023
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trialsYan Xia, Nishant Ravikumar, Toni Lassila, et al.
Frontiers in Radiology|June 5, 2024
Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-raysRachael Harkness, Alejandro F Frangi, Kieran Zucker, et al.
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