Nikolaos Papanikolaou
Orcid: 0000-0003-3298-2072Affiliations:
- Champalimaud Center for the Unknown, Lisbon, Portugal
According to our database1,
Nikolaos Papanikolaou
authored at least 22 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
AI Model Passport: Data and System Traceability Framework for Transparent AI in Health.
CoRR, June, 2025
Texture Preserving Deep Learning-Based Noise Reduction for Anatomical Magnetic Resonance Images and its Impact on Imaging Features.
Proceedings of the 19th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2025
Radiocytogenetics in Multiple Myeloma: Predicting Cytogenetic Aberrations from WBCT Imaging Features.
Proceedings of the 19th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2025
Label-Free Machine Learning-Based Segmentation of Whole-Body Bone Marrow Imaging in Multiple Myeloma.
Proceedings of the 19th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2025
Large-Scale Radiomics Analysis for Prostate Cancer Detection Harnessing Machine and Deep Learning Models.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Uplift Modeling for Treatment Effect Estimation in the Prostate Cancer Treatment Landscape.
Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025
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].
Comput. Biol. Medicine, 2024
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data.
Comput. Biol. Medicine, 2024
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
2022
Improving Generalizability to Out-of-Distribution Data in Radiogenomic Models to Predict IDH Mutation Status in Glioma Patients.
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.
CoRR, 2021
A new smart-cropping pipeline for prostate segmentation using deep learning networks.
CoRR, 2021
2020
A multicenter study on radiomic features from T<sub>2</sub>-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics.
CoRR, 2020
2019
Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2016
Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges.
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.
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.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012