Parashkev Nachev

98 papers Journal 71Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Calculation of approximate heart rate variability indicators based on low-resolution heart rate data provided by widely used commercially available wearable devices. Biomed. Signal Process. Control. Xue Li, Goh Onoguchi, Hiroshi Komatsu, Chiaki Ono, Noriko Warita, Zhiqian Yu, Atsuko Nagaoka, Sho Horikoshi, Kenji Iwabuchi, Kohei Fuji, Mizuki Hino, Yuta Takahashi, Hisashi Ohseto, Natsuko Kobayashi, Saya Kikuchi, Yasuto Kunii, Taku Obara, Shinichi Kuriyama, Noriyasu Homma, Parashkev Nachev, Akinori Ito, Hiroaki Tomita
2025	J	`jnl`	Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance. CoRR James K. Ruffle, Samia Mohinta, Guilherme Pombo, Asthik Biswas, Alan Campbell, Indran Davagnanam, David Doig, Ahmed Hamman, Harpreet Hyare, Farrah Jabeen, Emma Lim, Dermot Mallon, Stephanie Owen, Sophie Wilkinson, Sebastian Brandner, Parashkev Nachev
2025	J	`jnl`	Deep generative computed perfusion-deficit mapping of ischaemic stroke. CoRR Chayanin Tangwiriyasakul, Pedro Borges, Guilherme Pombo, Stefano Moriconi, Michael S. Elmalem, Paul Wright, Yee-Haur Mah, Jane Rondina, Robert J. Gray, Sébastien Ourselin, Parashkev Nachev, M. Jorge Cardoso
2025	J	`jnl`	Generalizable automated ischaemic stroke lesion segmentation with vision transformers. CoRR Chris Foulon, Robert J. Gray, James K. Ruffle, Jonathan Best, Tianbo Xu, Henry C. Watkins, Jane Rondina, Guilherme Pombo, Dominic Giles, Paul Wright, Marcela Ovando Tellez, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Parashkev Nachev
2025	J	`jnl`	Neuradicon: Operational representation learning of neuroimaging reports. Comput. Methods Programs Biomed. Henry C. Watkins, Robert J. Gray, Adam Julius, Yee-Haur Mah, James T. Teo, Walter H. L. Pinaya, Paul Wright, Ashwani Jha, Holger Engleitner, Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Hans Rolf Jäger, Parashkev Nachev
2025	J	`jnl`	Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence. CoRR James K. Ruffle, Samia Mohinta, Guilherme Pombo, Asthik Biswas, Alan Campbell, Indran Davagnanam, David Doig, Ahmed Hamman, Harpreet Hyare, Farrah Jabeen, Emma Lim, Dermot Mallon, Stephanie Owen, Sophie Wilkinson, Sebastian Brandner, Parashkev Nachev
2025	—	`conf`	Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved MPMs. SASHIMI@MICCAI 2025 Pedro Borges, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	Computational limits to the legibility of the imaged human brain. NeuroImage James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2024	J	`jnl`	Deep Generative Classification of Blood Cell Morphology. CoRR Simon Deltadahl, Julian D. Gilbey, Christine van Laer, Nancy Boeckx, Mathie P. G. 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
2024	J	`jnl`	Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study. CoRR Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. 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
2024	J	`jnl`	Recent methodological advances in federated learning for healthcare. Patterns 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 P. G. 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
2024	J	`jnl`	UniBrain: A Unified Model for Cross-Subject Brain Decoding. CoRR Zicheng Wang, Zhen Zhao, Luping Zhou, Parashkev Nachev
2024	—	`conf`	Using MR Physics for Domain Generalisation and Super-Resolution. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI. CoRR James K. Ruffle, Samia Mohinta, Kelly Pegoretti Baruteau, Rebekah Rajiah, Faith Lee, Sebastian Brandner, Parashkev Nachev, Harpreet Hyare
2023	J	`jnl`	Compressed representation of brain genetic transcription. CoRR James K. Ruffle, Henry C. Watkins, Robert J. Gray, Harpreet Hyare, Michel Thiebaut de Schotten, Parashkev Nachev
2023	J	`jnl`	Deep Variational Lesion-Deficit Mapping. CoRR Guilherme Pombo, Robert J. Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev
2023	—	`conf`	Denoising diffusion models for out-of-distribution detection. CVPR Workshops Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. Guilherme Pombo, Robert J. Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
2023	—	`conf`	Framework to Generate Perfusion Map from CT and CTA Images in Patients with Acute Ischemic Stroke: A Longitudinal and Cross-Sectional Study. BrainLes/SWITCH@MICCAI Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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
2023	—	`conf`	InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD 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
2023	J	`jnl`	Latent Transformer Models for out-of-distribution detection. Medical Image Anal. Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols. CoRR Tobias Goodwin-Allcock, Ting Gong, Robert J. Gray, Parashkev Nachev, Hui Zhang
2023	J	`jnl`	Prediction of Stroke Onset Time With Combined Fast High-Resolution Magnetic Resonance Spectroscopic and Quantitative T IEEE Trans. Biomed. Eng. 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
2023	J	`jnl`	RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR 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
2023	J	`jnl`	The legibility of the imaged human brain. CoRR James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2023	J	`jnl`	The minimal computational substrate of fluid intelligence. CoRR Amy P. K. Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev
2023	—	`conf`	Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Brain Imaging Generation with Latent Diffusion Models. CoRR Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Deep forecasting of translational impact in medical research. Patterns 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
2022	J	`jnl`	Denoising Diffusion Models for Out-of-Distribution Detection. CoRR Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) 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 Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR 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 Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	GeoSPM: Geostatistical parametric mapping for medicine. Patterns Holger Engleitner, Ashwani Jha, Marta Suárez-Pinilla, Amy P. K. Nelson, Daniel Herron, Geraint Rees, Karl J. Friston, Martin Rossor, Parashkev Nachev
2022	—	`conf`	How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? CDMRI@MICCAI Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang
2022	J	`jnl`	How can spherical CNNs benefit ML-based diffusion MRI parameter estimation? CoRR Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang
2022	—	`conf`	Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 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
2022	J	`jnl`	Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR 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
2022	J	`jnl`	Representational Ethical Model Calibration. CoRR Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
2022	J	`jnl`	Representational ethical model calibration. npj Digit. Medicine Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
2022	J	`jnl`	Solid NURBS Conforming Scaffolding for Isogeometric Analysis. CoRR Stefano Moriconi, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Translating automated brain tumour phenotyping to clinical neuroimaging. CoRR James K. Ruffle, Samia Mohinta, Robert J. Gray, Harpreet Hyare, Parashkev Nachev
2022	J	`jnl`	Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	—	`conf`	An MRF-UNet Product of Experts for Image Segmentation. MIDL Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	An MRF-UNet Product of Experts for Image Segmentation. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	An artificial intelligence natural language processing pipeline for information extraction in neuroradiology. CoRR Henry C. Watkins, Robert J. Gray, Ashwani Jha, Parashkev Nachev
2021	J	`jnl`	Deep forecasting of translational impact in medical research. CoRR 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
2021	J	`jnl`	Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR Guilherme Pombo, Robert J. Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
2021	J	`jnl`	Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. CoRR Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev
2021	—	`conf`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	—	`conf`	Flexible Bayesian Modelling for Nonlinear Image Registration. MICCAI (3) Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
2020	J	`jnl`	Flexible Bayesian Modelling for Nonlinear Image Registration. CoRR Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner
2020	J	`jnl`	Full-waveform inversion imaging of the human brain. npj Digit. Medicine Lluís Guasch, Oscar Calderon Agudo, Meng-Xing Tang, Parashkev Nachev, Michael Warner
2020	J	`jnl`	Generative Model-Enhanced Human Motion Prediction. CoRR Anthony Bourached, Ryan-Rhys Griffiths, Robert J. Gray, Ashwani Jha, Parashkev Nachev
2020	—	`conf`	Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso
2020	J	`jnl`	Hierarchical brain parcellation with uncertainty. CoRR Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	—	`conf`	Learning to Segment When Experts Disagree. MICCAI (1) Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
2020	J	`jnl`	Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso
2020	—	`conf`	Test-Time Unsupervised Domain Adaptation. MICCAI (1) Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2020	J	`jnl`	Test-time Unsupervised Domain Adaptation. CoRR Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2019	J	`jnl`	A Tool for Super-Resolving Multimodal Clinical MRI. CoRR Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
2019	J	`jnl`	Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli
2019	—	`conf`	Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2019	J	`jnl`	Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2019	—	`conf`	Empirical Bayesian Mixture Models for Medical Image Translation. SASHIMI@MICCAI Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
2019	J	`jnl`	Empirical Bayesian Mixture Models for Medical Image Translation. CoRR Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
2019	J	`jnl`	High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli
2019	J	`jnl`	Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. IEEE Trans. Medical Imaging Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR 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
2019	—	`conf`	Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI 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
2019	J	`jnl`	Predicting scheduled hospital attendance with artificial intelligence. npj Digit. Medicine Amy P. K. Nelson, Daniel Herron, Geraint Rees, Parashkev Nachev
2019	J	`jnl`	Redefining the research hospital. npj Digit. Medicine Parashkev Nachev, Daniel Herron, Nick McNally, Geraint Rees, Bryan Williams
2019	—	`conf`	Towards Quantifying Neurovascular Resilience. MLMECH/CVII-STENT@MICCAI Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	Towards Quantifying Neurovascular Resilience. CoRR Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	Unsupervised Videographic Analysis of Rodent Behaviour. CoRR Anthony Bourached, Parashkev Nachev
2018	—	`conf`	Elastic Registration of Geodesic Vascular Graphs. MICCAI (1) Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018	J	`jnl`	Elastic Registration of Geodesic Vascular Graphs. CoRR Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018	J	`jnl`	Lost in translation. F1000Research Parashkev Nachev, Geraint Rees, Richard S. Frackowiak
2018	—	`conf`	MRI Super-Resolution Using Multi-channel Total Variation. MIUA Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
2018	J	`jnl`	MRI Super-Resolution using Multi-Channel Total Variation. CoRR Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner
2018	J	`jnl`	NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 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
2018	J	`jnl`	PIMMS: Permutation Invariant Multi-Modal Segmentation. CoRR Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
2018	—	`conf`	PIMMS: Permutation Invariant Multi-modal Segmentation. DLMIA/ML-CDS@MICCAI Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
2018	J	`jnl`	VTrails: Inferring Vessels with Geodesic Connectivity Trees. CoRR Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2017	J	`jnl`	Comparing GABA-dependent physiological measures of inhibition with proton magnetic resonance spectroscopy measurement of GABA using ultra-high-field MRI. NeuroImage 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
2017	J	`jnl`	NiftyNet: a deep-learning platform for medical imaging. CoRR 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
2017	—	`conf`	VTrails: Inferring Vessels with Geodesic Connectivity Trees. IPMI Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2011	J	`jnl`	The blind executive. NeuroImage Parashkev Nachev
2008	J	`jnl`	Enantiomorphic normalization of focally lesioned brains. NeuroImage Parashkev Nachev, Elizabeth J. Coulthard, Hans Rolf Jäger, Christopher Kennard, Masud Husain