Manolis Tsiknakis

Professor

Hellenic Mediterranean University

Greece

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About

Professor Manolis Tsiknakis is a faculty member at the Hellenic Mediterranean University in Greece. His research interests include topic modeling, sentiment analysis in healthcare, cardiotoxicity in cancer patients, and advanced machine learning techniques for medical imaging and pain assessment. He has published extensively on the impact of e-health interventions and the application of deep learning in improving quality of life for patients.

Articles (20)

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2025

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2022

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2022

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2022

Collaborators (21)

Dimitrios I. Fotiadis

University of Ioannina

GREECE

Manolis Tsiknakis

Research Interests

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Articles (20)

Pain Assessment Using Multi-Kernel-FCN-LSTM and Haemoglobin Difference in fNIRS

Impact of e-Health Interventions on Mental Health and Quality of Life in Breast Cancer Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

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

Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks

An Interdisciplinary Ecosystem for the Prevention of Cardiotoxicity in Older Patients With Breast Cancer: Protocol for a Prospective and Multicentric Study

Cardiotoxicity in Elderly Breast Cancer Patients

A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data

Topic modeling and sentiment analysis of Greek clinician–patient conversations in hematologic malignancies

PainFormer: a Vision Foundation Model for Automatic Pain Assessment

Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences.

Detecting Minor Symptoms of Parkinson’s Disease in the Wild Using Bi-LSTM with Attention Mechanism

Guest Editorial AIoPT (Artificial Intelligence of Paediatric Things): Informatics in Meeting Paediatric Needs and Patient Monitoring

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

Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data

eSEE-d: Emotional State Estimation Based on Eye-Tracking Dataset

Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review

Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes

Can Gait Features Help in Differentiating Parkinson’s Disease Medication States and Severity Levels? A Machine Learning Approach

A 3D-Printed Capacitive Smart Insole for Plantar Pressure Monitoring

Harmonization Strategies in Multicenter MRI-Based Radiomics

Collaborators (21)

Dimitrios I. Fotiadis

Dimitrios Fotiadis

Andri Papakonstantinou

Cleanthe Spanaki

Jayashree Kalpathy-Cramer

Anastasia Constantinidou

Emilia Michou

Subhas Mukhopadhyay

Ketti Mazzocco

Georgios C. Manikis

DIMITRIOS FOTIADIS

Vassilios Tsakanikas

Katerina Naka

Yorgos Goletsis

George K. Matsopoulos

Nikos Tsiknakis

Simone Mazzetti

Kostas Marias

Theodoros Foukakis

Roland Goecke

Iro Boura

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