Author

Νικόλαος Δικαίος

Observed names: Dikaios, N, Dikaios, N., Dikaios, Nikolaos, Dikaios, Nikos, N Dikaios, N. Dikaios, Nikolaos Dikaios, Nikos Dikaios, Δίκαιος, Νικόλαος

Institution: Academy of Athens

Observed institutions: University College Hospital, University College London Hospitals NHS Foundation Trust, National Technical University of Athens, Academy of Athens, University of Cambridge, University of Surrey, General Electric (United Kingdom), Addenbrooke's Hospital, University College London

ORCID: 0000-0001-9865-0260

Observed ORCID: 0000-0001-9865-0260

OpenAlex ID: A5008391218

STIR: software for tomographic image reconstruction release 2

2012 · Kris Thielemans, Charalampos Tsoumpas, et al. · Physics in Medicine and Biology · 484

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Microstructural Characterization of Normal and Malignant Human Prostate Tissue With Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumours Magnetic Resonance Imaging

2014 · Eleftheria Panagiotaki, Rachel W. Chan, et al. · Investigative Radiology · 190

Dynamic MR Image Reconstruction–Separation From Undersampled (${\bf k},t$)-Space via Low-Rank Plus Sparse Prior

2014 · Benjamin Tremoulheac, Nikolaos Dikaios, et al. · IEEE Transactions on Medical Imaging · 142

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Evaluation of Crohn’s disease activity: Initial validation of a magnetic resonance enterography global score (MEGS) against faecal calprotectin

2013 · Jesica C. Makanyanga, Doug Pendsé, et al. · European Radiology · 133

Respiratory motion correction in dynamic MRI using robust data decomposition registration – Application to DCE-MRI

2013 · Valentin Hamy, Nikolaos Dikaios, et al. · Medical Image Analysis · 115

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Is Attention all You Need in Medical Image Analysis? A Review

2023 · Giorgos Papanastasiou, Nikolaos Dikaios, et al. · IEEE Journal of Biomedical and Health Informatics · 109

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“Textural analysis of multiparametric MRI detects transition zone prostate cancer”

2016 · Harbir S. Sidhu, Salvatore Benigno, et al. · European Radiology · 86

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Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction

2017 · Arash Latifoltojar, Margaret Hall-Craggs, et al. · European Radiology · 85

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MRI-based motion correction of thoracic PET: initial comparison of acquisition protocols and correction strategies suitable for simultaneous PET/MRI systems

2011 · Nikolaos Dikaios, David Izquierdo-Garcia, et al. · European Radiology · 85

Mathematical models and deep learning for predicting the number of individuals reported to be infected with SARS-CoV-2

2020 · A. S. Fokas, N. Dikaios, et al. · Journal of The Royal Society Interface · 79

Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists

2019 · Michela Antonelli, Edward W. Johnston, et al. · European Radiology · 79

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Whole body magnetic resonance imaging in newly diagnosed multiple myeloma: early changes in lesional signal fat fraction predict disease response

2016 · Arash Latifoltojar, Margaret Hall‐Craggs, et al. · British Journal of Haematology · 71

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OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images

2021 · Gavrielle R. Untracht, Rolando S. Matos, et al. · PLoS ONE · 68

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An Automated Deep Learning Approach for Spine Segmentation and Vertebrae Recognition Using Computed Tomography Images

2023 · Muhammad Usman Saeed, Nikolaos Dikaios, et al. · Diagnostics · 66

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Multiparametric MRI for detection of radiorecurrent prostate cancer: added value of apparent diffusion coefficient maps and dynamic contrast-enhanced images

2015 · M Abd-Alazeez, N Ramachandran, et al. · Prostate Cancer and Prostatic Diseases · 63

A few-shot U-Net deep learning model for lung cancer lesion segmentation via PET/CT imaging

2022 · Nicholas E Protonotarios, Iason Katsamenis, et al. · Biomedical Physics & Engineering Express · 61

Comparative evaluation of two commercial PET scanners, ECAT EXACT HR+ and Biograph 2, using GATE

2006 · N. Karakatsanis, N. Sakellios, et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 47

Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field

2023 · Nikolaos Papachristou, Grigorios Kotronoulas, et al. · Seminars in Oncology Nursing · 46

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Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI

2014 · Nikolaos Dikaios, Jokha Alkalbani, et al. · European Radiology · 45

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Advancing breast, lung and prostate cancer research with federated learning. A systematic review

2025 · Anshu Ankolekar, Sebastian Boie, et al. · npj Digital Medicine · 44

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Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI

2017 · Mrishta Brizmohun Appayya, Harbir S Sidhu, et al. · British Journal of Radiology · 42

Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI

2014 · Nikolaos Dikaios, Simon Arridge, et al. · Medical Image Analysis · 39

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Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI

2015 · Nikolaos Dikaios, Jokha Alkalbani, et al. · European Radiology · 32

Can multiparametric magnetic resonance imaging predict upgrading of transrectal ultrasound biopsy results at more definitive histology?

2014 · Mohamed Abd-Alazeez, Hashim U. Ahmed, et al. · Urologic Oncology Seminars and Original Investigations · 32

Noise estimation from averaged diffusion weighted images: Can unbiased quantitative decay parameters assist cancer evaluation?

2013 · Nikolaos Dikaios, Shonit Punwani, et al. · Magnetic Resonance in Medicine · 30

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Works count: 111

Citation count: 2,695

H-index: 25

I10-index: 45