Georgios C. Manikis

Karolinska Institutet

Sweden

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Articles (15)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (24)

Luzia Travado

Head

PORTUGAL

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Dimitrios Fotiadis

University of Ioannina

GREECE

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Andri Papakonstantinou

Vall d´Hebron Institut d´Oncologia

SPAIN

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Anastasia Constantinidou

CYPRUS

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Mikko Nuutinen

University of Helsinki

FINLAND

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Georgios S. Ioannidis

Adjunct Lecturer

University of West Attica

GREECE

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Michail Ignatiadis

BELGIUM

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Ketti Mazzocco

ITALY

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Jonas Bergh

Karolinska University Hospital

SWEDEN

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Ioannis Zerdes

Karolinska University Hospital

SWEDEN

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Katerina Naka

Professor of Cardiology

University of Ioannina

GREECE

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Ruth Pat-Horenczyk

ISRAEL

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Eleftherios Alissandrakis

Hellenic Mediterranean University

GREECE

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Nikos Tsiknakis

Karolinska Institutet

SWEDEN

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Kostas Marias

Associate Professor

Hellenic Mediterranean University

GREECE

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Balazs Acs

Karolinska Institutet

SWEDEN

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Ceren Boyaci

Karolinska University Hospital

SWEDEN

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Haridimos Kondylakis

University of Crete

GREECE

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Manolis Tsiknakis

Professor

Hellenic Mediterranean University

GREECE

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Theodoros Foukakis

Karolinska Institutet

SWEDEN

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Paula Poikonen-Saksela

Clinical lecturer

University of Helsinki

FINLAND

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Albino Jorge Oliveira-Maia

Universidade de Aveiro

PORTUGAL

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Nikolas Vidakis

Associate Professor

Hellenic Mediterranean University

GREECE

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Artur Mezheyeuski

Uppsala University

SWEDEN

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Georgios C. Manikis

Research Interests

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Articles (15)

Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial

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

Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images

Digital Self‐Management Intervention Paths for Early Breast Cancer Patients: Results of a Pilot Study

New Insights in the Era of Clinical Biomarkers as Potential Predictors of Systemic Therapy-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review

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

Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study.

A segmentation-based method improving the performance of N4 bias field correction on T2weighted MR imaging data of the prostate.

Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments

Well-being trajectories in breast cancer and their predictors: A machine-learning approach.

Harmonization Strategies in Multicenter MRI-Based Radiomics

Pollen Grain Classification Based on Ensemble Transfer Learning on the Cretan Pollen Dataset

Diffusion Weighted Imaging in the Assessment of Tumor Grade in Endometrial Cancer Based on Intravoxel Incoherent Motion MRI

Dissecting Tumor-Immune Microenvironment in Breast Cancer at a Spatial and Multiplex Resolution

Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study.

Collaborators (24)

Luzia Travado

Dimitrios Fotiadis

Andri Papakonstantinou

Anastasia Constantinidou

Mikko Nuutinen

Georgios S. Ioannidis

Michail Ignatiadis

Ketti Mazzocco

Jonas Bergh

Ioannis Zerdes

Katerina Naka

Ruth Pat-Horenczyk

Eleftherios Alissandrakis

Nikos Tsiknakis

Kostas Marias

Balazs Acs

Ceren Boyaci

Haridimos Kondylakis

Manolis Tsiknakis

Theodoros Foukakis

Paula Poikonen-Saksela

Albino Jorge Oliveira-Maia

Nikolas Vidakis

Artur Mezheyeuski

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