Parashkev Nachev

According to our database, Parashkev Nachev authored at least 66 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Recent methodological advances in federated learning for healthcare.

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

Patterns, 2024

Computational limits to the legibility of the imaged human brain.

James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev

NeuroImage, 2024

Realistic morphology-preserving generative modelling of the brain.

Petru-Daniel Tudosiu, Walter H. L. Pinaya, Pedro Ferreira Da Costa, Jessica Dafflon, Ashay Patel, Pedro Borges, Virginia Fernandez, Mark S. Graham, Robert J. Gray, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Nat. Mac. Intell., 2024

Deep Generative Classification of Blood Cell Morphology.

Simon Deltadahl, Julian D. Gilbey, Christine van Laer, Nancy Boeckx, Mathie Leers, Tanya Freeman, Laura Aiken, Timothy Farren, Matthew Smith, Mohamad Zeina, BloodCounts Consortium, Concetta Piazzese, Joseph Taylor, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Suthesh Sivapalaratnam, Michael Roberts, Parashkev Nachev

CoRR, 2024

VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI.

James K. Ruffle, Samia Mohinta, Kelly Pegoretti Baruteau, Rebekah Rajiah, Faith Lee, Sebastian Brandner, Parashkev Nachev, Harpreet Hyare

CoRR, 2024

Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study.

Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee H. Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2024

Using MR Physics for Domain Generalisation and Super-Resolution.

Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

2023

Latent Transformer Models for out-of-distribution detection.

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

Medical Image Anal., December, 2023

Prediction of Stroke Onset Time With Combined Fast High-Resolution Magnetic Resonance Spectroscopic and Quantitative T₂ Mapping.

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

IEEE Trans. Biomed. Eng., November, 2023

Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models.

Guilherme Pombo, Robert J. Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev

Medical Image Anal., 2023

RAISE - Radiology AI Safety, an End-to-end lifecycle approach.

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

CoRR, 2023

Compressed representation of brain genetic transcription.

James K. Ruffle, Henry C. Watkins, Robert J. Gray, Harpreet Hyare, Michel Thiebaut de Schotten, Parashkev Nachev

CoRR, 2023

The legibility of the imaged human brain.

James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev

CoRR, 2023

The minimal computational substrate of fluid intelligence.

Amy PK Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev

CoRR, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.

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

CoRR, 2023

Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols.

Tobias Goodwin-Allcock, Ting Gong, Robert J. Gray, Parashkev Nachev, Hui Zhang

CoRR, 2023

Deep Variational Lesion-Deficit Mapping.

Guilherme Pombo, Robert J. Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev

CoRR, 2023

InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data.

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

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift.

Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Denoising diffusion models for out-of-distribution detection.

Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

3d_very_deep_vae.

Robert J. Gray, Matthew Graham, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Parashkev Nachev

Dataset, June, 2022

Deep forecasting of translational impact in medical research.

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

Patterns, 2022

GeoSPM: Geostatistical parametric mapping for medicine.

Holger Engleitner, Ashwani Jha, Marta Suarez Pinilla, Amy P. K. Nelson, Daniel Herron, Geraint Rees, Karl J. Friston, Martin Rossor, Parashkev Nachev

Patterns, 2022

Representational ethical model calibration.

Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev

npj Digit. Medicine, 2022

Unsupervised brain imaging 3D anomaly detection and segmentation with transformers.

Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Medical Image Anal., 2022

Translating automated brain tumour phenotyping to clinical neuroimaging.

James K. Ruffle, Samia Mohinta, Robert J. Gray, Harpreet Hyare, Parashkev Nachev

CoRR, 2022

Solid NURBS Conforming Scaffolding for Isogeometric Analysis.

Stefano Moriconi, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2022

Fitting Segmentation Networks on Varying Image Resolutions Using Splatting.

Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Transformer-based out-of-distribution detection for clinically safe segmentation.

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Brain Imaging Generation with Latent Diffusion Models.

Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

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 H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?

Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

2021

Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion.

Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev

CoRR, 2021

An artificial intelligence natural language processing pipeline for information extraction in neuroradiology.

Henry C. Watkins, Robert J. Gray, Ashwani Jha, Parashkev Nachev

CoRR, 2021

Unsupervised Brain Anomaly Detection and Segmentation with Transformers.

Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

An MRF-UNet Product of Experts for Image Segmentation.

Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Full-waveform inversion imaging of the human brain.

Lluís Guasch, Oscar Calderon Agudo, Meng-Xing Tang, Parashkev Nachev, Michael Warner

npj Digit. Medicine, 2020

Generative Model-Enhanced Human Motion Prediction.

Anthony Bourached, Ryan-Rhys Griffiths, Robert J. Gray, Ashwani Jha, Parashkev Nachev

CoRR, 2020

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.

Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso

CoRR, 2020

Learning to Segment When Experts Disagree.

Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Test-Time Unsupervised Domain Adaptation.

Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Hierarchical Brain Parcellation with Uncertainty.

Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Flexible Bayesian Modelling for Nonlinear Image Registration.

Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees.

Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

IEEE Trans. Medical Imaging, 2019

Predicting scheduled hospital attendance with artificial intelligence.

Amy P. K. Nelson, Daniel Herron, Geraint Rees, Parashkev Nachev

npj Digit. Medicine, 2019

Redefining the research hospital.

Parashkev Nachev, Daniel Herron, Nick McNally, Geraint Rees, Bryan Williams

npj Digit. Medicine, 2019

Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis.

Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli

npj Digit. Medicine, 2019

High-dimensional detection of imaging response to treatment in multiple sclerosis.

Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli

npj Digit. Medicine, 2019

Unsupervised Videographic Analysis of Rodent Behaviour.

Anthony Bourached, Parashkev Nachev

CoRR, 2019

A Tool for Super-Resolving Multimodal Clinical MRI.

Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner

CoRR, 2019

Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning.

Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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 Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Towards Quantifying Neurovascular Resilience.

Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

Empirical Bayesian Mixture Models for Medical Image Translation.

Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

2018

Lost in translation.

Parashkev Nachev, Geraint Rees, Richard S. Frackowiak

F1000Research, 2018

NiftyNet: a deep-learning platform for medical imaging.

Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren

Comput. Methods Programs Biomed., 2018

MRI Super-Resolution Using Multi-channel Total Variation.

Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

PIMMS: Permutation Invariant Multi-modal Segmentation.

Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Elastic Registration of Geodesic Vascular Graphs.

Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Comparing GABA-dependent physiological measures of inhibition with proton magnetic resonance spectroscopy measurement of GABA using ultra-high-field MRI.

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

NeuroImage, 2017

NiftyNet: a deep-learning platform for medical imaging.

Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren

CoRR, 2017

VTrails: Inferring Vessels with Geodesic Connectivity Trees.

Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Information Processing in Medical Imaging, 2017

2011

The blind executive.

Parashkev Nachev

NeuroImage, 2011

2008

Enantiomorphic normalization of focally lesioned brains.

Parashkev Nachev, Elizabeth J. Coulthard, Hans Rolf Jäger, Christopher Kennard, Masud Husain

NeuroImage, 2008