Nikolaos Tsiknakis

Publikationer
Populärvetenskap och samverkan

Artiklar

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: PATTERNS. 2024;5(7):100992
ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions
Zaridis DI; Mylona E; Tsiknakis N; Tachos NS; Matsopoulos GK; Marias K; Tsiknakis M; Fotiadis DI
Journal 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
Journal article: JOURNAL OF CLINICAL ONCOLOGY. 2024;42(16_suppl):521
Estimating benefit from dose dense adjuvant chemotherapy for early breast cancer in the PANTHER randomized phase 3 trial.
Matikas A; Gnant M; Johansson H; Untch M; Tsiknakis N; Greil R; Loibl S; Foukakis T; Bergh JCS
Journal article: ESMO OPEN. 2024;9:103124
137P Adherence to and optimization of guidelines for risk of recurrence/Prosigna testing using a machine learning model: A Swedish multicenter study
Kjällquist U; Tsiknakis N; Acs B; Margolin S; Ekholm M; Kessler LE; Lundgren C; Garcia SG; Olsson EJ; Lindman H; Valachis A; Hartman J; Foukakis T; Matikas A
Journal article: RESEARCH ON BIOMEDICAL ENGINEERING. 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
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
Article: SCIENTIFIC REPORTS. 2023;13(1):714
Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones
Zaridis DI; Mylona E; Tachos N; Pezoulas VC; Grigoriadis G; Tsiknakis N; Marias K; Tsiknakis M; Fotiadis DI
Article: BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 2023;79:104251
OCT sequence registration before and after percutaneous coronary intervention (stent implantation)
Tsiknakis N; Spanakis C; Tsoumpou P; Karanasiou G; Karanasiou G; Sakellarios A; Rigas G; Kyriakidis S; Papafaklis MI; Nikopoulos S; Gijsen F; Michalis L; Fotiadis DI; Marias K
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: SSRN ELECTRONIC JOURNAL. 2022
OCT Sequence Registration Before and after Percutaneous Coronary Intervention (Stent Implantation)
Tsiknakis N; Spanakis C; Tsoumpou P; Karanasiou G; Karanasiou G; Sakellarios A; Rigas G; Kyriakidis S; Papafaklis MI; Nikopoulos S; Michalis L; Fotiadis DI; Marias K
Article: DIAGNOSTICS. 2021;11(8):1513
IVUS Longitudinal and Axial Registration for Atherosclerosis Progression Evaluation
Tsiknakis N; Spanakis C; Tsompou P; Karanasiou G; Karanasiou G; Sakellarios A; Rigas G; Kyriakidis S; Papafaklis M; Nikopoulos S; Gijsen F; Michalis L; Fotiadis DI; 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
Article: EXPERIMENTAL AND THERAPEUTIC MEDICINE. 2020;20(5):78-1
Advancing COVID-19 differentiation with a robust preprocessing and integration of multi-institutional open-repository computer tomography datasets for deep learning analysis
Trivizakis E; Tsiknakis N; Vassalou EE; Papadakis GZ; Spandidos DA; Sarigiannis D; Tsatsakis A; Papanikolaou N; Karantanas AH; Marias K
Article: EXPERIMENTAL AND THERAPEUTIC MEDICINE. 2020;20(2):727-735
Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays
Tsiknakis N; Trivizakis E; Vassalou EE; Papadakis GZ; Spandidos DA; Tsatsakis A; Sanchez-Garcia J; Lopez-Gonzalez R; Papanikolaou N; Karantanas AH; Marias K

Alla övriga publikationer

Conference publication: 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
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
Preprint: RESEARCH SQUARE. 2024
Adherence to and optimization of guidelines for Risk of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study
Kjällquist U; Tsiknakis N; Acs B; Margolin S; Kessler LE; Levy S; Ekholm M; Lundgren C; Olsson E; Lindman H; Valachis A; Hartman J; Foukakis T; Matikas A
Conference publication: EUROPEAN JOURNAL OF CANCER. 2024;200:113830
263 (PB-079) Poster 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; Lehtiö J; Matikas A; Hatschek T; Group SBC
Conference publication: JOURNAL OF CLINICAL ONCOLOGY. 2024;42(16)
Estimating benefit from dose dense adjuvant chemotherapy for early breast cancer in the PANTHER randomized phase 3 trial
Matikas A; Gnant M; Johansson H; Untch M; Tsiknakis N; Greil R; Loibl S; Foukakis T; Bergh JCS
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: 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
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: 2019;00:1-6
Renyi divergence and non-deterministic subsampling in Rigid Image Registration
Spanakis C; Mathioudakis E; Kampanis N; Tsiknakis N; Marias K

Artiklar

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