A. Roniotis

发表

A complete mathematical study of a 3D model of heterogeneous and anisotropic glioma evolution

V. Sakkalis, M. Zervakis, K. Marias, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm

S Wan, J Sabczynski, P V Coveney, 2011, Interface Focus.

Modelling the Growth of a Malignant Brain Tumour

Kostas Marias, Vangelis Sakkalis, Alexandros Roniotis, 2010, ERCIM News.

ContraCancrum project paradigm Clinically driven design of multi-scale cancer models : the

P. Coveney, S. Bauer, M. Reyes, 2011 .

Detection and Management of Depression in Cancer Patients Using Augmented Reality Technologies, Multimodal Signal Processing and Persuasive Interfaces

Manolis Tsiknakis, Haridimos Kondylakis, Alexandros Roniotis, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

The mathematical path to develop a heterogeneous, anisotropic and 3-dimensional glioma model using finite differences

V. Sakkalis, M. Zervakis, K. Marias, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

CONTRA CANCRUM AT THE PROJECT LEVEL: The ContraCancrum Oncosimulator: Integrating Biomechanisms Across Scales in the Clinical Context

P. Coveney, S. Bauer, M. Reyes, 2010 .

In-Depth Analysis and Evaluation of Diffusive Glioma Models

Michalis E. Zervakis, Kostas Marias, Vangelis Sakkalis, 2012, IEEE Transactions on Information Technology in Biomedicine.

Evaluation framework for the multilevel macroscopic models of solid tumor growth in the glioma case

Vangelis Sakkalis, Christina Farmaki, Alexandros Roniotis, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases

Michalis Zervakis, Kostas Marias, Vangelis Sakkalis, 2012, Journal of biomedicine & biotechnology.

High-Grade Glioma Diffusive Modeling Using Statistical Tissue Information and Diffusion Tensors Extracted from Atlases

Michalis E. Zervakis, Kostas Marias, Vangelis Sakkalis, 2012, IEEE Transactions on Information Technology in Biomedicine.

Review on Psychological Stress Detection Using Biosignals

Manolis Tsiknakis, Alexandros Roniotis, Katerina Giannakaki, 2019, IEEE Transactions on Affective Computing.

Detecting Depression Using Voice Signal Extracted by Chatbots: A Feasibility Study

Manolis Tsiknakis, Alexandros Roniotis, M. Tsiknakis, 2017, ArtsIT/DLI.

A Proposed Paradigm Shift in Initializing Cancer Predictive Models with DCE-MRI Based PK Parameters: A Feasibility Study

Kostas Marias, Eleftheria Tzamali, Vangelis Sakkalis, 2015, Cancer informatics.

Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text

Fan Yang, Manolis Tsiknakis, Fabrice Mériaudeau, 2016, AVEC@ACM Multimedia.

Diffusive modelling of glioma evolution: a review

Michalis Zervakis, Kostas Marias, Vangelis Sakkalis, 2010 .

Employing in-vivo molecular imaging in simulating and validating tumor growth

Kostas Marias, Jorge Ripoll, Eleftheria Tzamali, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Solving the PIHNA model while accounting for radiotherapy

Michalis E. Zervakis, Kostas Marias, Eleftheria Tzamali, 2012, Proceedings of the 2012 5th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation.