Parashkev Nachev
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
2
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved MPMs. | Pedro Borges, Virginia Fernandez, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2024 | MICCAI | Using MR Physics for Domain Generalisation and Super-Resolution. | Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | CVPR | Denoising diffusion models for out-of-distribution detection. | Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. | Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. | Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jger, David Werring, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? | Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang |
| 2022 | MICCAI | Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. | Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jger, David Werring, Geraint Rees, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Brain Imaging Generation with Latent Diffusion Models. | Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. | Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2020 | MICCAI | Flexible Bayesian Modelling for Nonlinear Image Registration. | Mikael Brudfors, Yal Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner |
| 2020 | MICCAI | Hierarchical Brain Parcellation with Uncertainty. | Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, Manuel Jorge Cardoso |
| 2020 | MICCAI | Test-Time Unsupervised Domain Adaptation. | Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso |
| 2020 | MICCAI | Learning to Segment When Experts Disagree. | Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander |
| 2019 | MICCAI | Empirical Bayesian Mixture Models for Medical Image Translation. | Mikael Brudfors, John Ashburner, Parashkev Nachev, Yal Balbastre |
| 2019 | MICCAI | Towards Quantifying Neurovascular Resilience. | Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jger, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2019 | MICCAI | Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. | Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Srensen, Mads Nielsen, Akshay Pai, Sbastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso |
| 2019 | MICCAI | Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. | Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev |
| 2018 | MICCAI | Elastic Registration of Geodesic Vascular Graphs. | Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jger, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2018 | MICCAI | PIMMS: Permutation Invariant Multi-modal Segmentation. | Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso |