Nikolaos Papanikolaou

According to our database, Nikolaos Papanikolaou authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216].

Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou

Comput. Biol. Medicine, 2024

Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data.

Nuno M. Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou

Comput. Biol. Medicine, 2024

Data and System Traceability for Transparent AI in Medical Imaging.

Sara Colantonio, Andrea Berti, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Varvara Kalokyri, Haridimos Kondylakis, Charalampos Kalantzopoulos, Nikolaos S. Tachos, Dimitris I. Fotiadis, Valentina Giannini, Simone Mazzetti, Daniele Regge, Nickolas Papanikolaou, Konstantinos Marias, Manolis Tsiknakis

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

StitchPro for Computational Pathology Stitching in Patients with Prostate Cancer.

Ana Sofia Castro Verde, José Guilherme de Almeida, Jorge Fonseca, Celso Matos, Raquel Cruz Conceição, Nickolas Papanikolaou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer.

Giulio Del Corso, Eva Pachetti, Rossana Buongiorno, Ana Carolina Rodrigues, Danila Germanese, Maria Antonietta Pascali, José G. de Almeida, Nuno M. Rodrigues, Manolis Tsiknakis, Nickolas Papanikolaou, Daniele Regge, Kostas Marias, ProCAncer-I Consortium, Sara Colantonio

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Testing the Segment Anything Model on radiology data.

José Guilherme de Almeida, Nuno M. Rodrigues, Sara Silva, Nickolas Papanikolaou

CoRR, 2023

2022

Improving Generalizability to Out-of-Distribution Data in Radiogenomic Models to Predict IDH Mutation Status in Glioma Patients.

João Santinha, Celso Matos, Nickolas Papanikolaou, Mário A. T. Figueiredo

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

2021

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.

Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí

CoRR, 2021

A new smart-cropping pipeline for prostate segmentation using deep learning networks.

Dimitrios G. Zaridis, Eugenia Mylona, Kostas Marias, Nikolaos Papanikolaou, Nikolaos S. Tachos, Dimitrios I. Fotiadis

CoRR, 2021

2020

A multicenter study on radiomic features from T₂-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics.

Linda Bianchini, João Santinha, Nuno Loução, Mário A. T. Figueiredo, Francesca Botta, Daniela Origgi, Marta Cremonesi, Enrico Cassano, Nikolaos Papanikolaou, Alessandro Lascialfari

CoRR, 2020

2019

Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla.

Eunice Carrasquinha, João Santinha, Alexander Mongolin, Maria Lisitskiya, Joana Ribeiro, Fátima Cardoso, Celso Matos, Leonardo Vanneschi, Nikolaos Papanikolaou

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Sparse Representations on DW-MRI: A Study on Pancreas.

Anastasia Pentari, Grigorios Tsagkatakis, Kostas Marias, Georgios C. Manikis, Nikolaos Kartalis, Nikolaos Papanikolaou, Panagiotis Tsakalides

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Automatic Detection and Segmentation of Lung Lesions using Deep Residual CNNs.

João B. S. Carvalho, José-Maria Moreira, Mário A. T. Figueiredo, Nikolaos Papanikolaou

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2016

Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges.

Kostas Marias, Katerina Nikiforaki, Georgios C. Manikis, Eleftherios Kontopodis, Nikolaos Papanikolaou

Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016

Diffusion Modelling Tool (DMT) for the analysis of Diffusion Weighted Imaging (DWI) Magnetic Resonance Imaging (MRI) data.

Georgios C. Manikis, Katerina Nikiforaki, Nikolaos Papanikolaou, Kostas Marias

Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016

2012

A software prototype for the assessment of tumor treatment response using diffusion and perfusion MR imaging.

Vangelis Sakkalis, Georgios C. Manikis, Nikolaos Papanikolaou, Ioannis Karatzanis, Kostas Marias

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012