Georgios Manikis

Publikationer
Populärvetenskap och samverkan

Artiklar

Article: NPJ BREAST CANCER. 2025;11(1):23
Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial
Zerdes I; Matikas A; Mezheyeuski A; Manikis G; Acs B; Johansson H; Boyaci C; Boman C; Poncet C; Ignatiadis M; Bai Y; Rimm DL; Cameron D; Bonnefoi H; Bergh J; Macgrogan G; Foukakis T
Article: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 2024;28(9):5312-5322
Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images
Tsiknakis N; Manikis G; Tzoras E; Salgkamis D; Vidal JM; Wang K; Zaridis D; Sifakis E; Zerdes I; Bergh J; Hartman J; Acs B; Marias K; Foukakis T
Journal article: BREAST JOURNAL. 2024;2024:8036696
Digital Self-Management Intervention Paths for Early Breast Cancer Patients: Results of a Pilot Study
Poikonen-Saksela P; Karademas E; Vehmanen L; Utriainen M; Kondylakis H; Kourou K; Manikis GC; Kolokotroni E; Argyropaidas P; Sousa B; Horenczyk RP; Mazzocco K; Mattson J
Article: HELIYON. 2024;10(14):e34308
Automated analysis for glaucoma screening of retinal videos acquired with smartphone-based ophthalmoscope
Scarpa F; Berto A; Tsiknakis N; Manikis G; Fotiadis DI; Marias K; Scarpa A
Article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2024;2024:1-5
Ensuring Model Fairness via Stratified Training: TP53 Mutation Prediction with Estrogen Receptor Stratification in Breast Histopathology.
Tsiknakis N; Wang K; Salgkamis D; Tzoras E; Manikis GC; Sifakis E; Bergh J; Zerdes I; Marias K; Matikas A; Foukakis T
Journal article: CANCERS. 2024;16(10):1818
LKB1 Loss Correlates with STING Loss and, in Cooperation with β-Catenin Membranous Loss, Indicates Poor Prognosis in Patients with Operable Non-Small Cell Lung Cancer
Lagoudaki ED; Koutsopoulos AV; Sfakianaki M; Papadaki C; Manikis GC; Voutsina A; Trypaki M; Tsakalaki E; Fiolitaki G; Hatzidaki D; Yiachnakis E; Koumaki D; Mavroudis D; Tzardi M; Stathopoulos EN; Marias K; Georgoulias V; Souglakos J
Journal article: REVISTA BRASILEIRA DE ENGENHARIA BIOMEDICA. 2024;40(1):225-251
Automated analysis of fundus images for the diagnosis of retinal diseases: a review
Berto A; Scarpa F; Tsiknakis N; Manikis G; Fotiadis DI; Marias K; Scarpa A
Journal article: PSYCHO-ONCOLOGY. 2023;32(11):1762-1770
Well-being trajectories in breast cancer and their predictors: A machine-learning approach
Karademas EC; Mylona E; Mazzocco K; Pat-Horenczyk R; Sousa B; Oliveira-Maia AJ; Oliveira J; Roziner I; Stamatakos G; Cardoso F; Kondylakis H; Kolokotroni E; Kourou K; Lemos R; Manica I; Manikis G; Marzorati C; Mattson J; Travado L; Tziraki-Segal C; Fotiadis D; Poikonen-Saksela P; Simos P; BOUNCE C
Journal article: MAGNETIC RESONANCE IMAGING. 2023;101:1-12
A segmentation-based method improving the performance of N4 bias field correction on T2weighted MR imaging data of the prostate
Dovrou A; Nikiforaki K; Zaridis D; Manikis GC; Mylona E; Tachos N; Tsiknakis M; Fotiadis DI; Marias K
Article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2023;2023:1-4
Multiresolution Self-Supervised Feature Integration via Attention Multiple Instance Learning for Histopathology Analysis
Tsiknakis N; Tzoras E; Zerdes I; Manikis GC; Acs B; Hartman J; Hatschek T; Foukakis T; Marias K
Journal article: JOURNAL OF MEDICAL INTERNET RESEARCH. 2023;25:e43838
Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support Tool
Manikis GC; Simos NJ; Kourou K; Kondylakis H; Poikonen-Saksela P; Mazzocco K; Pat-Horenczyk R; Sousa B; Oliveira-Maia AJ; Mattson J; Roziner I; Marzorati C; Marias K; Nuutinen M; Karademas E; Fotiadis D
Journal article: SCIENTIFIC REPORTS. 2023;13(1):7059
Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study
Kourou K; Manikis G; Mylona E; Poikonen-Saksela P; Mazzocco K; Pat-Horenczyk R; Sousa B; Oliveira-Maia AJ; Mattson J; Roziner I; Pettini G; Kondylakis H; Marias K; Nuutinen M; Karademas E; Simos P; Fotiadis DI
Journal article: HEALTH AND TECHNOLOGY. 2023;13(2):229-244
Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments
Nuutinen M; Hiltunen A-M; Korhonen S; Haavisto I; Poikonen-Saksela P; Mattson J; Manikis G; Kondylakis H; Simos P; Mazzocco K; Pat-Horenczyk R; Sousa B; Cardoso F; Manica I; Kudel I; Leskela R-L
Journal article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2022;2022:69-72
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study.
Mylona E; Kourou K; Manikis G; Kondylakis H; Marias K; Karademas E; Poikonen-Saksela P; Mazzocco K; Marzorati C; Pat-Horenczyk R; Roziner I; Sousa B; Oliveira-Maia A; Simos P; Fotiadis DI
Article: PLANTS-BASEL. 2022;11(7):919
Pollen Grain Classification Based on Ensemble Transfer Learning on the Cretan Pollen Dataset
Tsiknakis N; Savvidaki E; Manikis GC; Gotsiou P; Remoundou I; Marias K; Alissandrakis E; Vidakis N
Journal article: DIAGNOSTICS. 2022;12(3):692
Diffusion Weighted Imaging in the Assessment of Tumor Grade in Endometrial Cancer Based on Intravoxel Incoherent Motion MRI
Chryssou EG; Manikis GC; Ioannidis GS; Chaniotis V; Vrekoussis T; Maris TG; Marias K; Karantanas AH
Journal article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2021;2021:1753-1756
Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1.
Mylona E; Kourou K; Manikis G; Kondylakis H; Marias K; Karademas E; Poikonen-Saksela P; Mazzocco K; Marzorati C; Pat-Horenczyk R; Roziner I; Sousa B; Oliveira-Maia A; Simos P; Fotiadis DI
Article: DIAGNOSTICS. 2021;11(9):1686
Radiomics and Machine Learning Can Differentiate Transient Osteoporosis from Avascular Necrosis of the Hip
Klontzas ME; Manikis GC; Nikiforaki K; Vassalou EE; Spanakis K; Stathis I; Kakkos GA; Matthaiou N; Zibis AH; Marias K; Karantanas AH
Journal article: CANCERS. 2021;13(16):3965
Multicenter DSC-MRI-Based Radiomics Predict IDH Mutation in Gliomas
Manikis GC; Ioannidis GS; Siakallis L; Nikiforaki K; Iv M; Vozlic D; Surlan-Popovic K; Wintermark M; Bisdas S; Marias K
Journal article: APPLIED SCIENCES-BASEL. 2021;11(14):6657
Segmenting 20 Types of Pollen Grains for the Cretan Pollen Dataset v1 (CPD-1)
Tsiknakis N; Savvidaki E; Kafetzopoulos S; Manikis G; Vidakis N; Marias K; Alissandrakis E
Journal article: EUROPEAN JOURNAL OF RADIOLOGY. 2021;138:109660
Differentiating low from high-grade soft tissue sarcomas using post-processed imaging parameters derived from multiple DWI models
Manikis GC; Nikiforaki K; Lagoudaki E; de Bree E; Maris TG; Marias K; Karantanas AH
Journal article: COMPUTERS IN BIOLOGY AND MEDICINE. 2021;131:104266
A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects
Kourou K; Manikis G; Poikonen-Saksela P; Mazzocco K; Pat-Horenczyk R; Sousa B; Oliveira-Maia AJ; Mattson J; Roziner I; Pettini G; Kondylakis H; Marias K; Karademas E; Simos P; Fotiadis DI
Journal article: BRAIN SCIENCES. 2020;10(11):E777-777
Quantitative Identification of Functional Connectivity Disturbances in Neuropsychiatric Lupus Based on Resting-State fMRI: A Robust Machine Learning Approach
Simos NJ; Dimitriadis SI; Kavroulakis E; Manikis GC; Bertsias G; Simos P; Maris TG; Papadaki E
Journal article: EUROPEAN RADIOLOGY EXPERIMENTAL. 2020;4(1):45
Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
Nikiforaki K; Ioannidis GS; Lagoudaki E; Manikis GH; de Bree E; Karantanas A; Maris TG; Marias K
Journal article: OPEN MEDICINE. 2020;15(1):520-530
Extended perfusion protocol for MS lesion quantification
Kontopodis E; Marias K; Manikis GC; Nikiforaki K; Venianaki M; Maris TG; Mastorodemos V; Papadakis GZ; Papadaki E
Journal article: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 2019;23(5):1834-1843
Investigating the Role of Model-Based and Model-Free Imaging Biomarkers as Early Predictors of Neoadjuvant Breast Cancer Therapy Outcome
Kontopodis E; Venianaki M; Manikis GC; Nikiforaki K; Salvetti O; Papadaki E; Papadakis GZ; Karantanas AH; Marias K
Journal article: JOURNAL OF BONE AND MINERAL RESEARCH. 2019;34(9):1619-1631
¹⁸F-NaF PET/CT IMAGING IN FIBROUS DYSPLASIA OF BONE
Papadakis GZ; Manikis GC; Karantanas AH; Florenzano P; Bagci U; Marias K; Collins MT; Boyce AM
Journal article: GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY. 2019;26(4):260-267
Perfusion Magnetic Resonance as a Biomarker for Sorafenib-Treated Advanced Hepatocellular Carcinoma: A Pilot Study
Campos M; Candelaria I; Papanikolaou N; Simao A; Ferreira C; Manikis GC; Caseiro-Alves F
Journal article: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 2019;23(3):923-930
Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation
Trivizakis E; Manikis GC; Nikiforaki K; Drevelegas K; Constantinides M; Drevelegas A; Marias K
Journal article: PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS. 2019;60:76-82
T2, T2*and spin coupling ratio as biomarkers for the study of lipomatous tumors
Nikiforaki K; Manikis GC; Kontopodis E; Lagoudaki E; de Bree E; Marias K; Karantanas AH; Maris TG
Journal article: INTERNATIONAL JOURNAL OF RELIABLE AND QUALITY E-HEALTHCARE. 2019;8(1):40-51
Personalized Mobile eHealth Services for Secure User Access Through a Multi Feature Biometric Framework
Manikis GC; Spanakis M; Spanakis EG
Journal article: PLOS ONE. 2018;13(4):e0196262
Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models (vol 12, e0184197, 2017)
Manikis GC; Marias K; Lambregts DMJ; Nikiforaki K; van Heeswijk MM; Bakers FCH; Beets-Tan RGH; Papanikolaou N
Journal article: BIOMED RESEARCH INTERNATIONAL. 2018;2018:2712657-1
Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases (vol 9, 715812, 2012)
Roniotis A; Marias K; Sakkalis V; Manikis GC; Zervakis M
Journal article: PLOS ONE. 2017;12(12):e0190290
Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models (vol 12, e0184197, 2017)
Manikis GC; Marias K; Lambregts DMJ; Nikiforaki K; van Heeswijk MM; Bakers FCH; Beets-Tan RGH; Papanikolaou N
Journal article: PLOS ONE. 2017;12(9):e0184197
Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models
Manikis GC; Marias K; Lambregts DMJ; Nikiforaki K; van Heeswijk MM; Bakers FCH; Beets-Tan RGH; Papanikolaou N
Journal article: MAGNETIC RESONANCE IMAGING. 2017;38:6-12
The impact of spin coupling signal loss on fat content characterization in multi-echo acquisitions with different echo spacing
Nikiforaki K; Manikis GC; Boursianis T; Marias K; Karantanas A; Maris TG
Journal article: EUROPEAN RADIOLOGY. 2016;26(2):390-397
Magnetization transfer imaging to assess tumour response after chemoradiotherapy in rectal cancer
Martens MH; Lambregts DMJ; Papanikolaou N; Alefantinou S; Maas M; Manikis GC; Marias K; Riedl RG; Beets GL; Beets-Tan RGH
Journal article: CANCER INFORMATICS. 2015;14(Suppl 4):41-51
Assessing Treatment Response Through Generalized Pharmacokinetic Modeling of DCE-MRI Data
Kontopodis E; Kanli G; Manikis GC; Van Cauter S; Marias K
Journal article: IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE. 2012;16(2):255-263
High-Grade Glioma Diffusive Modeling Using Statistical Tissue Information and Diffusion Tensors Extracted from Atlases
Roniotis A; Manikis GC; Sakkalis V; Zervakis ME; Karatzanis I; Marias K
Journal article: JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY. 2012;2012:715812-9
Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases
Roniotis A; Marias K; Sakkalis V; Manikis GC; Zervakis M
Journal article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2012;2012:388-391
A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging.
Sakkalis V; Manikis GC; Papanikolaou N; Karatzanis I; Marias K
Journal article: INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY. 2010;3(3-4):329
Evaluation of short-and long-term response to treatment in GIMEMA protocol for Acute Myeloid Leukaemia
Ardoino I; Ambrogi F; Iacobelli S; Boracchi P; Manikis G; Kounelakis MG; Zervakis M; Lisboa PJG; Fazi P; Vignetti M; Biganzoli EM; Starita A
Journal article: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY - PROCEEDINGS. 2006;2006:5334-5337
Classifier fusion approaches for diagnostic cancer models.
Dimou IN; Manikis GC; Zervakis ME
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Alla övriga publikationer

Conference publication: ESMO OPEN. 2024;9:103075
69P Deep learning prognostication through prediction of TP53 gene mutation status on breast cancer hematoxylin and eosin slides
Tsiknakis N; Salgkamis D; Tzoras E; Wang K; Liu X; Manikis G; Sifakis EG; Bergh J; Marias K; Zerdes I; Matikas A; Foukakis T
Meeting abstract: CANCER RESEARCH. 2024;84(9):po2-07-06-po2-07-06
Multimodal learning predictor of HER2-positive breast cancer therapy response in the randomized PREDIX HER2 trial
Wang K; Zhu Y; Zerdes I; Sifakis E; Manikis G; Salgkamis D; Tsiknakis N; Harbers L; Crosetto N; Bergh J; Matikas A; Hatschek T; Foukakis T
Meeting abstract: EUROPEAN JOURNAL OF CANCER. 2024;200:113830
Multiomic profiling reveals predictive molecular characteristics of response to neoadjuvant antibody-drug conjugate versus chemotherapy and dual HER2 blockade in HER2 positive breast cancer
Foukakis T; Wang K; Zerdes I; Zhu Y; Sifakis E; Tsiknakis N; Manikis G; Salgkamis D; Harbers L; Bergh J; Johansson H; Crosetto N; Lehtio J; Matikas A; Hatschek T
Conference publication: 2023;00:3907-3912
CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity*
Tsiouris KM; Kalliatakis G; Mazzocco K; Šeruga B; Marias K; Karanasiou G; Antoniades A; Papakonstantinou A; Conti C; Tsiknakis M; Sfakianakis S; Lakkas L; Filippatos G; Bucur A; Fotiadis DI; Manikis G; Mauri D; Constantinidou A; Pacella E
Meeting abstract: ANNALS OF ONCOLOGY. 2023;34:s307-s308
Machine learning-based characterization of tumor-immune microenvironment at a spatial and multiplexed resolution in early breast cancer: A sub-study of the EORTC 10994/BIG 1-00 randomized phase III trial with long-term follow-up
Zerdes I; Matikas A; Mezheyeuski A; Acs B; Johansson H; Manikis G; Boyaci C; Boman CE; Poncet C; Ignatiadis M; Bai Y; Rimm D; MacGrogan G; Cameron DA; Bergh J; Bonnefoi H; Foukakis T
Conference publication: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE. 2023;2023:1-4
CARDIOCARE: An integrated platform for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity.
Karanasiou G; Koumakis L; Sfakianakis S; Manikis G; Kalliatakis G; Antoniades A; Lakkas L; Mauri D; Cipolla C; Mazzocco K; Papakonstantinou A; Filippatos G; Constantinidou A; Seruga B; Conti C; Bucur A; Pacella E; Marias K; Tsiknakis M; Fotiadis DI
Review: CANCERS. 2023;15(13):3290
New Insights in the Era of Clinical Biomarkers as Potential Predictors of Systemic Therapy-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review
Alexandraki A; Papageorgiou E; Zacharia M; Keramida K; Papakonstantinou A; Cipolla CM; Tsekoura D; Naka K; Mazzocco K; Mauri D; Tsiknakis M; Manikis GC; Marias K; Marcou Y; Kakouri E; Konstantinou I; Daniel M; Galazi M; Kampouroglou E; Ribnikar D; Brown C; Karanasiou G; Antoniades A; Fotiadis D; Filippatos G; Constantinidou A
Book chapter: INTRODUCTION TO ARTIFICIAL INTELLIGENCE: IMAGING INFORMATICS FOR HEALTHCARE PROFESSIONALS. 2023;p. 13-37
Using Commercial and Open-Source Tools for Artificial Intelligence: A Case Demonstration on a Complete Radiomics Pipeline
Stamoulou E; Spanakis C; Nikiforaki K; Karantanas AH; Tsiknakis N; Matikas A; Foukakis T; Manikis GC
Review: JOURNAL OF IMAGING. 2022;8(11):303
Harmonization Strategies in Multicenter MRI-Based Radiomics
Stamoulou E; Spanakis C; Manikis GC; Karanasiou G; Grigoriadis G; Foukakis T; Tsiknakis M; Fotiadis DI; Marias K
Preprint: JMIR PREPRINTS. 2022
Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool (Preprint)
C Manikis G; Simos NJ; Kourou K; Kondylakis H; Poikonen-Saksela P; Mazzocco K; Pat-Horenczyk R; Sousa B; Oliveira-Maia AJ; Mattson J; Roziner I; Marzorati C; Marias K; Nuutinen M; Karademas E; Fotiadis D
Book chapter: RESEARCH ANTHOLOGY ON SECURING MEDICAL SYSTEMS AND RECORDS. 2022;p. 322-335
Personalized Mobile eHealth Services for Secure User Access Through a Multi Feature Biometric Framework
Manikis GC; Spanakis M; Spanakis EG
Review: CANCERS. 2022;14(8):1999
Dissecting Tumor-Immune Microenvironment in Breast Cancer at a Spatial and Multiplex Resolution
Tzoras E; Zerdes I; Tsiknakis N; Manikis GC; Mezheyeuski A; Bergh J; Matikas A; Foukakis T
Conference publication: 2022;00:1-4
Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis
Mylona E; Kourou K; Manikis G; Kondylakis H; Karademas E; Marias K; Mazzocco K; Poikonen-Saksela P; Pat-Horenczyk R; Sousa B; Simos P; Fotiadis DI
Book chapter: ENGINEERING APPLICATIONS OF NEURAL NETWORKS: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. 2022;p. 361-371
Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder
Theodoropoulos D; Manikis GC; Marias K; Papadourakis G
Conference publication: 2021;00:1-6
ComBat harmonization for multicenter MRI based radiomics features
Stamoulou E; Manikis GC; Tsiknakis M; Marias K
Review: COMPUTERS IN BIOLOGY AND MEDICINE. 2021;135:104599
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review
Tsiknakis N; Theodoropoulos D; Manikis G; Ktistakis E; Boutsora O; Berto A; Scarpa F; Scarpa A; Fotiadis DI; Marias K
Conference publication: JOURNAL OF NUCLEAR MEDICINE. 2021;62
Total volume and total activity of 18F-NaF-avid fibrous dysplasia of bone lesions is positively associated with established bone turnover markers (BTMs)
Papadakis G; Manikis G; Saboury B; Collins M; Boyce A
Conference publication: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. 2020;47(SUPPL 1):S97
¹⁸F-NaF Activity Related with Fibrous Dysplasia of Bone Lesions is Positively Associated with Established Bone Turnover Markers (BTMs)
Papadakis G; Manikis GC; Karantanas AH; Marias K; Collins MT; Boyce AM
Conference publication: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. 2020;47(SUPPL 1):S130
Patients with Erdheim-Chester Disease who Harbor the BRAF V600E Mutation, Exhibit Significantly Higher Metabolic Activity in the Adrenal glands Assessed by ¹⁸F-FDG PET/CT, when Compared to Mutation-Negative Counterparts
Papadakis G; Hannah-Shmouni F; Manikis GC; Karantanas AH; Marias K; Brien KJO; Gahl WA; Estrada-Veras JI
Book chapter: XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING – MEDICON 2019: IFMBE PROCEEDINGS. 2020;p. 518-525
Computational Models for Predicting Resilience Levels of Women with Breast Cancer
Kourou K; Kondylakis H; Koumakis L; Manikis GC; Marias K; Tsiknakis M; Simos PG; Karademas E; Fotiadis DI
Conference publication: 2019;00:1-6
Pollen Grain Classification using Geometrical and Textural Features
Manikis GC; Marias K; Alissandrakis E; Perrotto L; Savvidaki E; Vidakis N
Conference publication: 2019;00:1-6
Machine Learning Classification of Neuropsychiatric Systemic Lupus Erythematosus patients using resting-state fMRI functional connectivity
Simos NJ; Manikis GC; Papadaki E; Kavroulakis E; Bertsias G; Marias K
Conference publication: 2019;00:791-795
Sparse Representations on DW-MRI: A study on pancreas
Pentari A; Tsagkatakis G; Marias K; Manikis GC; Kartalis N; Papanikolaou N; Tsakalides P
Conference publication: 2019;00:994-1001
Scale-space DCE-MRI radiomics analysis based on Gabor filters for predicting breast cancer therapy response
Manikis GC; Venianaki M; Skepasianos I; Papadakis GZ; Maris TG; Agelaki S; Karantanas A; Marias K
Conference publication: 2019;00:423-427
Computational modeling of psychological resilience trajectories during breast cancer treatment
Manikis GC; Kourou K; Poikonen-Saksela P; Kondylakis H; Karademas E; Marias K; Katehakis DG; Koumakis L; Kouroubali A; Pat-Horenczyk R; Fotiadis DI; Tsiknakis M; Simos P
Conference publication: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. 2019;46(SUPPL 1):S241
¹⁸F-NaF uptake by fibrous dysplasia bone lesions is positively associated with bone turnover markers (BTMs)
Papadakis GZ; Manikis GC; Karantanas AH; Marias K; Bagci U; Florenzano P; Collins MT; Boyce AM
Conference publication: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. 2019;46(SUPPL 1):S241-S242
Prognostic utility of ¹⁸F-NaF PET/CT imaging for fractures in patients with fibrous dysplasia of bone
Papadakis GZ; Manikis GC; Karantanas AH; Marias K; Bagci U; Florenzano P; Collins MT; Boyce A
Conference publication: JOURNAL OF NUCLEAR MEDICINE. 2019;60
Positive Association between Fibrous Dysplasia (FD) related ¹⁸F-NaF activity and Bone Turnover Markers (BTMs)
Papadakis G; Manikis G; Karantanas A; Marias K; Bagci U; Florenzano P; Collins M; Boyce A
Conference publication: JOURNAL OF NUCLEAR MEDICINE. 2019;60
Fibrous dysplasia related 18F-NaF activity in the spine is significantly higher in patients th scoliosis, compared to patients thout spinal deformity
Papadakis G; Manikis G; Karantanas A; Marias K; Bagci U; Florenzano P; Collins M; Boyce A
Conference publication: 2018;00:1-6
DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response
Kontopodis E; Manikis GC; Skepasianos I; Tzagkarakis K; Nikiforaki K; Papadakis GZ; Maris TG; Papadaki E; Karantanas A; Marias K
Conference publication: 2018;:46-49
Incremental Diagnostic Information Obtained via Novel Dynamic Contrast Enhanced MRI Framework Applied on Multiple Sclerosis Patients: A Preliminary Study**Research supported by Hellenic Foundation for Research and Innovation (H.F.R.I.)-General Secretariat for Research and Technology (G.S.R.T.)
Kontopodis EE; Manikis GC; Nikiforaki K; Venianaki M; Marias K; Maris TG; Karantanas A; Papadaki E
Book chapter: WIRELESS MOBILE COMMUNICATION AND HEALTHCARE: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL-INFORMATICS AND TELECOMMUNICATIONS ENGINEERING. 2018;p. 190-198
Developing a Context-Dependent Tuning Framework of Multi-channel Biometrics that Combine Audio-Visual Characteristics for Secure Access of an eHealth Platform
Spanakis M; Manikis GC; Porwal S; Spanakis EG
Conference publication: PEDIATRIC BLOOD & CANCER. 2017;64:S29
Higher Metabolic Activity Seen on 18F-FDG PET/CT, in the Adrenal Glands of Patients with Erdheim-Chester Disease Harboring the BRAF V600E Mutation
Papadakis GZ; Manikis GC; Hannah-Shmouni F; O'Brien KJ; Gahl WA; Estrada-Veras JI
Conference publication: JOURNAL OF NUCLEAR MEDICINE. 2017;58
Application of ¹⁸F-NaF PET/CT imaging in prognosis of fractures and treatment planning in patients with fibrous dysplasia.
Papadakis G; Manikis G; Karantanas A; Marias K; Collins M; Boyce A
Conference publication: HORMONE RESEARCH IN PAEDIATRICS. 2017;88:20
APPLICATION OF 18F-NAF PET/CT IMAGING IN FIBROUS DYSPLASIA
Papadakis GZ; Manikis GC; Karantanas AH; Marias K; Collins MT; Boyce AM
Book chapter: IMAGING BIOMARKERS. 2017;p. 115-122
Validating the Imaging Biomarker: The Proof of Efficacy and Effectiveness
Manikis GC; Papanikolaou N; Matos C
Book chapter: IMAGING BIOMARKERS. 2017;p. 71-86
Imaging Biomarker Model-Based Analysis
Manikis GC; Kontopodis E; Nikiforaki K; Marias K; Papanikolaou N
Conference publication: 2016;:487-492
Addressing Intravoxel Incoherent Motion Challenges Through an Optimized Fitting Framework for Quantification of Perfusion
Manikis GC; Nikiforaki K; Ioannidis G; Papanikolaou N; Marias K
Conference publication: 2016;:97-100
Diffusion Modelling Tool (DMT) for the analysis of Diffusion Weighted Imaging (DWI) Magnetic Resonance Imaging (MRI) data
Manikis GC; Nikiforaki K; Papanikolaou N; Marias K
Conference publication: 2016;:113-116
Visualizing tumor environment with perfusion and diffusion MRI
Marias K; Nikiforaki K; Manikis GC; Kontopodis E; Papanikolaou N
Review: EUROPEAN JOURNAL OF RADIOLOGY OPEN. 2016;3:79-85
Diffusion-weighted MR imaging of pancreatic cancer: A comparison of mono-exponential, bi-exponential and non-Gaussian kurtosis models
Kartalis N; Manikis GC; Loizou L; Albiin N; Zollner FG; Del Chiaro M; Marias K; Papanikolaou N
Conference publication: 2014;:1-4
Multi-Modal Medical Data Analysis Platform (3MDAP) for Analysis and Predictive Modelling of Cancer Trial Data**Research supported from the INTEGRATE project funded by the European Commission under the 7th Framework Programme.
Manikis GC; Maniadi E; Tsiknakis M; Marias K
Conference publication: 2012;1:620-625
An innovative mathematical analysis of routine MRI scans in patients with glioblastoma using DoctorEye
Zepp J; Graf N; Stenzhorn H; Reith W; Karatzanis I; Manikis GC; Sakkalis V; Marias K; Stamatakos G
Book chapter: DATA MINING FOR BIOMARKER DISCOVERY: SPRINGER OPTIMIZATION AND ITS APPLICATIONS. 2012;p. 117-142
A Statistical Diagnostic Decision Support Tool Using Magnetic Resonance Spectroscopy Data
Tsolaki E; Kousi E; Kapsalaki E; Dimou I; Theodorou K; Manikis GC; Kappas C; Tsougos I
Book chapter: COMPUTATIONAL INTELLIGENCE AND BIOENGINEERING: FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS. 2009;p.
Pattern Recognition Methods for Acute Myeloid Leukemia (AML) Induction-Treatment Analysis
Manikis Georgios C.; Kounelakis Michail G.; Zervakis Michail E.
Conference publication: ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY - PROCEEDINGS. 2006
Classifier Fusion Approaches for Diagnostic Cancer Models
Dimou IN; Manikis GC; Zervakis ME
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