Parashkev Nachev

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 84

Top Topics

Ischemic Stroke

Diffusion Models

Top Venues

npj Digit. Medicine

Medical Image Anal.

Publications

James K. Ruffle, Samia Mohinta, Kelly Pegoretti Baruteau, Rebekah Rajiah, Faith Lee, Sebastian Brandner, Parashkev Nachev, Harpreet Hyare
VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI. CoRR (2024)
Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert W. Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart de Wit, Umberto D'alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, Gordon A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Recent methodological advances in federated learning for healthcare. Patterns 5 (6) (2024)
James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
Computational limits to the legibility of the imaged human brain. NeuroImage 291 (2024)
Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee H. Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study. CoRR (2024)
Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI (2023)
Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR (2023)
Tobias Goodwin-Allcock, Ting Gong, Robert Gray, Parashkev Nachev, Hui Zhang
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols. CoRR (2023)
Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD (2023)
Guilherme Pombo, Robert Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev
Deep Variational Lesion-Deficit Mapping. CoRR (2023)
Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) (2023)
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR (2023)
James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
The legibility of the imaged human brain. CoRR (2023)
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Latent Transformer Models for out-of-distribution detection. Medical Image Anal. 90 (2023)
James K. Ruffle, Henry C. Watkins, Robert J. Gray, Harpreet Hyare, Michel Thiebaut de Schotten, Parashkev Nachev
Compressed representation of brain genetic transcription. CoRR (2023)
Ziyu Meng, Rong Guo, Tianyao Wang, Bin Bo, Zengping Lin, Yudu Li, Yibo Zhao, Xin Yu, David J. Lin, Parashkev Nachev, Zhi-Pei Liang, Yao Li
Mapping. IEEE Trans. Biomed. Eng. 70 (11) (2023)
Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Denoising diffusion models for out-of-distribution detection. CVPR Workshops (2023)
Guilherme Pombo, Robert Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. 84 (2023)
M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR (2023)
Amy PK Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev
The minimal computational substrate of fluid intelligence. CoRR (2023)
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, U. Jean-Marie, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR (2022)
Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Denoising Diffusion Models for Out-of-Distribution Detection. CoRR (2022)
Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev
Deep forecasting of translational impact in medical research. Patterns 3 (5) (2022)
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. 79 (2022)
Holger Engleitner, Ashwani Jha, Marta Suarez Pinilla, Amy P. K. Nelson, Daniel Herron, Geraint Rees, Karl J. Friston, Martin Rossor, Parashkev Nachev
GeoSPM: Geostatistical parametric mapping for medicine. Patterns 3 (12) (2022)
Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
Representational Ethical Model Calibration. CoRR (2022)
Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) (2022)
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Brain Imaging Generation with Latent Diffusion Models. CoRR (2022)
Stefano Moriconi, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Solid NURBS Conforming Scaffolding for Isogeometric Analysis. CoRR (2022)
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, Sébastien Ourselin, M. Jorge Cardoso
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR (2022)
Tobias Goodwin-Allcock, Jason D. McEwen, Robert Gray, Parashkev Nachev, Hui Zhang
How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? CDMRI@MICCAI (2022)
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI (2022)
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, Sébastien Ourselin, Jorge Cardoso
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR (2022)
Tobias Goodwin-Allcock, Jason McEwen, Robert Gray, Parashkev Nachev, Hui Zhang
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation? CoRR (2022)
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL (2022)
Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
Representational ethical model calibration. npj Digit. Medicine 5 (2022)
Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR (2022)
James K. Ruffle, Samia Mohinta, Robert J. Gray, Harpreet Hyare, Parashkev Nachev
Translating automated brain tumour phenotyping to clinical neuroimaging. CoRR (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
An MRF-UNet Product of Experts for Image Segmentation. CoRR (2021)
Anthony Bourached, Robert Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. CoRR (2021)
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL (2021)
Guilherme Pombo, Robert Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR (2021)
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR (2021)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
An MRF-UNet Product of Experts for Image Segmentation. MIDL (2021)
Henry C. Watkins, Robert Gray, Ashwani Jha, Parashkev Nachev
An artificial intelligence natural language processing pipeline for information extraction in neuroradiology. CoRR (2021)
Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev
Deep forecasting of translational impact in medical research. CoRR (2021)
Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
Test-Time Unsupervised Domain Adaptation. MICCAI (1) (2020)
Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
Flexible Bayesian Modelling for Nonlinear Image Registration. MICCAI (3) (2020)
Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
Learning to Segment When Experts Disagree. MICCAI (1) (2020)
Anthony Bourached, Ryan-Rhys Griffiths, Robert Gray, Ashwani Jha, Parashkev Nachev
Generative Model-Enhanced Human Motion Prediction. CoRR (2020)
Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Hierarchical brain parcellation with uncertainty. CoRR (2020)
Lluís Guasch, Oscar Calderon Agudo, Meng-Xing Tang, Parashkev Nachev, Michael Warner
Full-waveform inversion imaging of the human brain. npj Digit. Medicine 3 (2020)
Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
Flexible Bayesian Modelling for Nonlinear Image Registration. CoRR (2020)
Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
Test-time Unsupervised Domain Adaptation. CoRR (2020)
Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR (2020)
Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso
Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI (2020)
Amy P. K. Nelson, Daniel Herron, Geraint Rees, Parashkev Nachev
Predicting scheduled hospital attendance with artificial intelligence. npj Digit. Medicine 2 (2019)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR (2019)
Guilherme Pombo, Robert Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) (2019)
Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
Empirical Bayesian Mixture Models for Medical Image Translation. CoRR (2019)
Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli
Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine 2 (2019)
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. IEEE Trans. Medical Imaging 38 (1) (2019)
Anthony Bourached, Parashkev Nachev
Unsupervised Videographic Analysis of Rodent Behaviour. CoRR (2019)
Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Towards Quantifying Neurovascular Resilience. MLMECH/CVII-STENT@MICCAI (2019)
Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli
High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine 2 (2019)
Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Towards Quantifying Neurovascular Resilience. CoRR (2019)
Guilherme Pombo, Robert Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR (2019)
Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
Empirical Bayesian Mixture Models for Medical Image Translation. SASHIMI@MICCAI (2019)
Parashkev Nachev, Daniel Herron, Nick McNally, Geraint Rees, Bryan Williams
Redefining the research hospital. npj Digit. Medicine 2 (2019)
Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
A Tool for Super-Resolving Multimodal Clinical MRI. CoRR (2019)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI (2019)
Parashkev Nachev, Geraint Rees, Richard S. Frackowiak
Lost in translation. F1000Research 7 (2018)
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Elastic Registration of Geodesic Vascular Graphs. CoRR (2018)
Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
MRI Super-Resolution Using Multi-channel Total Variation. MIUA (2018)
Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
PIMMS: Permutation Invariant Multi-modal Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Elastic Registration of Geodesic Vascular Graphs. MICCAI (1) (2018)
Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 158 (2018)
Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
MRI Super-Resolution using Multi-Channel Total Variation. CoRR (2018)
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
VTrails: Inferring Vessels with Geodesic Connectivity Trees. CoRR (2018)
Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
PIMMS: Permutation Invariant Multi-Modal Segmentation. CoRR (2018)
Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
NiftyNet: a deep-learning platform for medical imaging. CoRR (2017)
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
VTrails: Inferring Vessels with Geodesic Connectivity Trees. IPMI (2017)
Katherine Dyke, Sophia E. Pépés, Chen Chen, Soyoung Kim, Hilmar P. Sigurdsson, Amelia Draper, Masud Husain, Parashkev Nachev, Penelope A. Gowland, Peter G. Morris, Stephen R. Jackson
Comparing GABA-dependent physiological measures of inhibition with proton magnetic resonance spectroscopy measurement of GABA using ultra-high-field MRI. NeuroImage 152 (2017)
Parashkev Nachev
The blind executive. NeuroImage 57 (2) (2011)
Parashkev Nachev, Elizabeth Coulthard, Hans Rolf Jäger, Christopher Kennard, Masud Husain
Enantiomorphic normalization of focally lesioned brains. NeuroImage 39 (3) (2008)