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2020 – today
- 2024
[j14]Pedro Borges
, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. 92: 103058 (2024)- [c7]Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander:
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. ICLR 2024 - 2023
- [j13]William Warner, Marco Palombo, Renata Cruz, Ross Callaghan, Noam Shemesh, Derek K. Jones, Flavio Dell'Acqua, Andrada Ianus, Ivana Drobnjak:
Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: Optimisation and pre-clinical demonstration. NeuroImage 269: 119930 (2023) - [c6]Constantinos Timinis, Jeremy Opie, Simon Watt, Pramit Khetrapal, John Kelly, Manolis Mavrikis, Yvonne Rogers, Ivana Drobnjak:
Designing Remote Patient Monitoring Technologies for Post-operative Home Cancer Recovery: The Role of Reassurance. INTERACT (1) 2023: 598-619 - 2021
- [j12]Ioana Hill, Marco Palombo, Mathieu D. Santin, Francesca Branzoli, Anne-Charlotte Philippe, Demian Wassermann, Marie-Stephane Aigrot, Bruno Stankoff, Anne Baron-Van Evercooren, Mehdi Felfli, Dominique Langui, Hui Zhang, Stéphane Lehéricy, Alexandra Petiet, Daniel C. Alexander, Olga Ciccarelli, Ivana Drobnjak:
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 224: 117425 (2021) - [j11]Ivana Drobnjak, Peter Neher, Cyril Poupon, Tabinda Sarwar:
Physical and digital phantoms for validating tractography and assessing artifacts. NeuroImage 245: 118704 (2021) - [c5]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso:
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI 2021: 67-76 - [i2]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR abs/2111.02771 (2021) - [i1]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR abs/2111.04094 (2021)
2010 – 2019
- 2019
- [c4]Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI 2019: 100-109 - 2018
- [j10]Jesper L. R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Jon Campbell:
Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data. NeuroImage 171: 277-295 (2018) - [j9]Mark S. Graham, Ivana Drobnjak, Hui Zhang:
A supervised learning approach for diffusion MRI quality control with minimal training data. NeuroImage 178: 668-676 (2018) - [j8]Lebina S. Kakkar, Oscar F. Bennett, Bernard Siow, Simon Richardson, Andrada Ianus, Tom Quick, David Atkinson, James B. Phillips, Ivana Drobnjak:
Low frequency oscillating gradient spin-echo sequences improve sensitivity to axon diameter: An experimental study in viable nerve tissue. NeuroImage 182: 314-328 (2018) - [j7]Andrada Ianus, Sune Nørhøj Jespersen, Teresa Serradas Duarte, Daniel C. Alexander, Ivana Drobnjak, Noam Shemesh:
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain. NeuroImage 183: 934-949 (2018) - 2017
- [j6]Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Niamh Cawley, Ioana Hill, Olga Ciccarelli, Ivana Drobnjak, Claudia A. M. Gandini Wheeler-Kingshott, Daniel C. Alexander:
Machine learning based compartment models with permeability for white matter microstructure imaging. NeuroImage 150: 119-135 (2017) - [j5]Jesper L. R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Nicola Filippini, Matteo Bastiani:
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement. NeuroImage 152: 450-466 (2017) - [j4]Christina Orphanidou, Ivana Drobnjak:
Quality Assessment of Ambulatory ECG Using Wavelet Entropy of the HRV Signal. IEEE J. Biomed. Health Informatics 21(5): 1216-1223 (2017) - 2016
- [j3]Mark S. Graham, Ivana Drobnjak, Hui Zhang:
Realistic simulation of artefacts in diffusion MRI for validating post-processing correction techniques. NeuroImage 125: 1079-1094 (2016) - [c3]Andrada Ianus, Daniel C. Alexander, Ivana Drobnjak:
Microstructure Imaging Sequence Simulation Toolbox. SASHIMI@MICCAI 2016: 34-44 - 2015
- [c2]Mark S. Graham, Ivana Drobnjak, Hui Zhang:
A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI. IPMI 2015: 638-649 - [c1]Andrada Ianus, Ivana Drobnjak, Daniel C. Alexander:
Model-Based Estimation of Microscopic Anisotropy in Macroscopically Isotropic Substrates Using Diffusion MRI. IPMI 2015: 699-710 - 2014
- [j2]Pankaj Daga, Tejas Pendse, Marc Modat, Mark White, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, Ivana Drobnjak, John S. Duncan, Sébastien Ourselin:
Susceptibility artefact correction using dynamic graph cuts: Application to neurosurgery. Medical Image Anal. 18(7): 1132-1142 (2014)
2000 – 2009
- 2006
- [j1]Ivana Drobnjak, Andrew C. Fowler, Michael C. Mackey:
Oscillations in a Maturation Model of Blood Cell Production. SIAM J. Appl. Math. 66(6): 2027-2048 (2006)
Coauthor Index
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