Nikos Tsiknakis

Karolinska Institutet

Sweden

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Articles (18)

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2025

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (16)

Irene Gullo

Professor Auxiliar Convidado

University of Porto

PORTUGAL

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Georgios C. Manikis

Karolinska Institutet

SWEDEN

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Anna Ehinger

Lund University

SWEDEN

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Jonas Bergh

Karolinska University Hospital

SWEDEN

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Ioannis Zerdes

Karolinska University Hospital

SWEDEN

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Eleftherios Alissandrakis

Hellenic Mediterranean University

GREECE

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George K. Matsopoulos

National Technical University of Athens

GREECE

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Kostas Marias

Associate Professor

Hellenic Mediterranean University

GREECE

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Wiebke Solass

Head of Gynecopathology

University of Bern

SWITZERLAND

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Athanasios Tzioufas

Professor and Chairman

National and Kapodistrian University of Athens

GREECE

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Michail I. Papafaklis

GREECE

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Chenhao Zhou

The University of Queensland

AUSTRALIA

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Manolis Tsiknakis

Professor

Hellenic Mediterranean University

GREECE

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Theodoros Foukakis

Karolinska Institutet

SWEDEN

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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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Nikos Tsiknakis

Research Interests

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Articles (18)

Evaluation of minor labial salivary gland focus score in Sjögren's disease using deep learning: a tool for more efficient diagnosis and future tissue biomarker discovery

Prognostic significance of tumour Ki-67 dynamics during neoadjuvant treatment in patients with breast cancer: a population-based cohort study

Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma.

Abstract P4-03-16: Comparison of analytical and prognostic performance among various Artificial Intelligence models for Tumor Infiltrating Lymphocytes scoring in Triple Negative Breast Cancer: An independent validation on a prospective cohort

35P Deep learning for overall survival risk prediction in early breast cancer using H&E-stained images and clinicopathological variables

78P Validation of an AI-based solution for breast cancer risk stratification using digital H&E images: Subgroup analysis within PANTHER clinical trial

Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer

Benefit from dose-dense adjuvant chemotherapy for breast cancer: subgroup analyses from the randomised phase 3 PANTHER trial

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

The analytical and clinical validity of AI algorithms to score TILs in TNBC

OCT sequence registration before and after percutaneous coronary intervention (stent implantation)

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

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

Segmenting 20 types of pollen grains for the cretan pollen dataset v1 (CPD-1)

IVUS Longitudinal and Axial Registration for Atherosclerosis Progression Evaluation

Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

Advancing Covid‑19 differentiation with a robust preprocessing and integration of multi‑institutional open‑repository computer tomography datasets for deep learning analysis

Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays.

Collaborators (16)

Irene Gullo

Georgios C. Manikis

Anna Ehinger

Jonas Bergh

Ioannis Zerdes

Eleftherios Alissandrakis

George K. Matsopoulos

Kostas Marias

Wiebke Solass

Athanasios Tzioufas

Michail I. Papafaklis

Chenhao Zhou

Manolis Tsiknakis

Theodoros Foukakis

Nikolas Vidakis

Artur Mezheyeuski

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