Nishant Ravikumar
Nishant Ravikumar
Lecturer, School of Computing, University of Leeds
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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 67, 101832, 2021
Classification of breast cancer histology images using transfer learning
S Vesal, N Ravikumar, AA Davari, S Ellmann, A Maier
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
Deep learning in medical image registration
X Chen, A Diaz-Pinto, N Ravikumar, AF Frangi
Progress in Biomedical Engineering 3 (1), 012003, 2021
Mitosis domain generalization in histopathology images—the MIDOG challenge
M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ...
Medical Image Analysis 84, 102699, 2023
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
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, ...
Medical Image Analysis 81, 102528, 2022
Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease
L Guo, JC Vardakis, T Lassila, M Mitolo, N Ravikumar, D Chou, M Lange, ...
Interface focus 8 (1), 20170019, 2018
Dilated convolutions in neural networks for left atrial segmentation in 3D gadolinium enhanced-MRI
S Vesal, N Ravikumar, A Maier
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
A multi-task framework for skin lesion detection and segmentation
S Vesal, S Malakarjun Patil, N Ravikumar, AK Maier
International Workshop on Computer-Assisted and Robotic Endoscopy, 285-293, 2018
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
Predicting myocardial infarction through retinal scans and minimal personal information
A Diaz-Pinto, N Ravikumar, R Attar, A Suinesiaputra, Y Zhao, E Levelt, ...
Nature Machine Intelligence 4 (1), 55-61, 2022
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
Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models
N Ravikumar, A Gooya, S Çimen, AF Frangi, ZA Taylor
Medical image analysis 44, 156-176, 2018
Super-resolution of cardiac MR cine imaging using conditional GANs and unsupervised transfer learning
Y Xia, N Ravikumar, JP Greenwood, S Neubauer, SE Petersen, AF Frangi
Medical Image Analysis 71, 102037, 2021
A constitutive model for ballistic gelatin at surgical strain rates
N Ravikumar, C Noble, E Cramphorn, ZA Taylor
Journal of the mechanical behavior of biomedical materials 47, 87-94, 2015
W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ...
Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018
Federated simulation for medical imaging
D Li, A Kar, N Ravikumar, AF Frangi, S Fidler
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Generalised coherent point drift for group-wise registration of multi-dimensional point sets
N Ravikumar, A Gooya, AF Frangi, ZA Taylor
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Adapt everywhere: unsupervised adaptation of point-clouds and entropy minimization for multi-modal cardiac image segmentation
S Vesal, M Gu, R Kosti, A Maier, N Ravikumar
IEEE Transactions on Medical Imaging 40 (7), 1838-1851, 2021
Fully automated 3d cardiac mri localisation and segmentation using deep neural networks
S Vesal, A Maier, N Ravikumar
Journal of Imaging 6 (7), 65, 2020
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