Nishant Ravikumar
Nishant Ravikumar
Lecturer, School of Computing, University of Leeds
Email verificata su leeds.ac.uk
Titolo
Citata da
Citata da
Anno
Classification of breast cancer histology images using transfer learning
S Vesal, N Ravikumar, AA Davari, S Ellmann, A Maier
International conference image analysis and recognition, 812-819, 2018
722018
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
312015
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
302018
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
282018
A multi-task framework for skin lesion detection and segmentation
S Vesal, SM Patil, N Ravikumar, AK Maier
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
262018
Dilated convolutions in neural networks for left atrial segmentation in 3D gadolinium enhanced-MRI
S Vesal, N Ravikumar, A Maier
International workshop on statistical atlases and computational models of …, 2018
262018
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
252019
Generalised coherent point drift for group-wise registration of multi-dimensional point sets
N Ravikumar, A Gooya, AF Frangi, ZA Taylor
International Conference on Medical Image Computing and Computer-Assisted …, 2017
252017
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
232021
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
232018
Frangi-net
W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ...
Bildverarbeitung für die Medizin 2018, 341-346, 2018
212018
Magnetic resonance elastography of the brain: an in silico study to determine the influence of cranial anatomy
DM McGrath, N Ravikumar, ID Wilkinson, AF Frangi, ZA Taylor
Magnetic resonance in medicine 76 (2), 645-662, 2016
192016
Resolve intraoperative brain shift as imitation game
X Zhong, S Bayer, N Ravikumar, N Strobel, A Birkhold, M Kowarschik, ...
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis …, 2018
142018
Evaluation of wave delivery methodology for brain MRE: insights from computational simulations
DM McGrath, N Ravikumar, L Beltrachini, ID Wilkinson, AF Frangi, ...
Magnetic resonance in medicine 78 (1), 341-356, 2017
142017
Intraoperative brain shift compensation using a hybrid mixture model
S Bayer, N Ravikumar, M Strumia, X Tong, Y Gao, M Ostermeier, R Fahrig, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
132018
A multi-resolution t-mixture model approach to robust group-wise alignment of shapes
N Ravikumar, A Gooya, S Cimen, AF Frangi, ZA Taylor
International Conference on Medical Image Computing and Computer-Assisted …, 2016
122016
A divide-and-conquer approach towards understanding deep networks
W Fu, K Breininger, R Schaffert, N Ravikumar, A Maier
International Conference on Medical Image Computing and Computer-Assisted …, 2019
112019
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data
N Ravikumar, A Gooya, L Beltrachini, AF Frangi, ZA Taylor
Medical image analysis 53, 47-63, 2019
112019
Determination of forming limits in sheet metal forming using deep learning
C Jaremenko, N Ravikumar, E Affronti, M Merklein, A Maier
Materials 12 (7), 1051, 2019
112019
Maximum likelihood estimation of head motion using epipolar consistency
A Preuhs, N Ravikumar, M Manhart, B Stimpel, E Hoppe, C Syben, ...
Bildverarbeitung für die Medizin 2019, 134-139, 2019
112019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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