Research Groups

Research Groups

Computational Clinical Imaging Group

About

Papanikolaou Lab

Papanikolaou Lab

CCIG current research activities are focusing on the application of mathematical modeling, statistics, and software development to support biomedical and clinical research, mainly in the field of medical images processing, visualization, and analysis.

INFO

Get in touch

To find out more about our lab, contact Nickolas Papanikolaou via email.

Projects

Papanikolaou Lab

Know our Projects

Breast Cancer

Multiple Myeloma (MM)

Rectal Cancer

Team

Papanikolaou Lab

Know our Team

Nickolas Papanikolaou

Principal Investigator

Ana Castro Verde

Research Technician

Anuraag Vazirani

Visiting Scientist

Catarina Caldeira

Masters Student

José Almeida

Postdoctoral Researcher

Nuno Rodrigues

External PhD Student

Publications

Papanikolaou Lab

Carina Albuquerque ,Leonardo Vanneschi, Roberto Henriques, Mauro Castelli, Vanda Póvoa, Rita Fior, Nickolas Papanikolaou (2021)

Object detection for automatic cancer cell counting in zebrafish xenografts

Cruz M, Ferreira AA, Papanikolaou N, Banerjee R, Alves FC. (2020)

New boundaries of liver imaging: from morphology to function

Eur J Intern Med. epub (doi:10.1016/j.ejim.2020.06.004. )

Almeida SD, Santinha J, Oliveira FPM, Ip J, Lisitskaya M, Lourenço J, Uysal A, Matos C, João C, Papanikolaou N (2020)

Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI

Cancer Imaging 20 (1), 6 (doi:10.1186/s40644-020-0286-5)

Trivizakis E, Papadakis G, Souglakos I, Papanikolaou N et al. (2020)

Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care.

International Journal of Oncology 57 (1), 43-53

Papanikolaou N, Matos C, Koh D (2020)

How to develop a meaningful radiomic signature for clinical use in oncologic patients.

Cancer Imaging 20 (1), 33

Campos M, Candelária I, Papanikolaou N et al. (2019)

Perfusion Magnetic Resonance as a Biomarker for Sorafenib-Treated Advanced Hepatocellular Carcinoma: A Pilot Study.

GE Portuguese Journal of Gastroenterology 26 (4), 260-267

Koutoulidis V, Papanikolaou N, Moulopoulos L (2018)

Functional and molecular MRI of the bone marrow in multiple myeloma

BRITISH JOURNAL OF RADIOLOGY 91 (1088)

Kokkinos V, Kallifatidis A, Kapsalaki EZ, Papanikolaou N, Garganis K. (2017)

Thin isotropic FLAIR MR images at 1.5 T increase the yield of focal cortical dysplasia transmantle sign detection in frontal lobe epilepsy

Epilepsy Research 132, 1-7 (doi:10.1016/j.eplepsyres.2017.02.018)

Manikis GC, Marias K, Lambregts DMJ, Nikiforaki K, van Heeswijk MM, Bakers FCH, Beets-Tan RGH, Papanikolaou N. (2017)

Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models

PLoS ONE (doi:10.1371/journal.pone.0184197 )

Dijkhoff RA, Maas M, Martens MH, Papanikolaou N, Lambregts DM, Beets GL, Beets-Tan RG. (2017)

Correlation between quantitative and semiquantitative parameters in DCE-MRI with a blood pool agent in rectal cancer: can semiquantitative parameters be used as a surrogate for quantitative parameters?

Abdominal Radiology (42), 1342-1349 (doi:10.1007/s00261-016-1024-0 )

Christidi, F., Karavasilis, E., Samiotis, K., Bisdas, S. and Papanikolaou, N. (2016)

Fiber tracking: A qualitative and quantitative comparison between four different software tools on the reconstruction of major white matter tracts

European Journal of Radiology Open 3, 153-161

Manikis G, Nikiforaki K, Papanikolaou N et al. (2016)

Diffusion modelling tool (DMT) for the analysis of diffusion weighted imaging (DWI) magnetic resonance imaging (MRI) data.

Kartalis N, Manikis G, Loizou L, Albin N, Zollner FG, Del Chiaro M, Marias K, Papanikolaou N. (2016)

Diffusion-weighted MR imaging of pancreatic cancer: A comparison of mono-exponential, bi-exponential and non-Gaussian kurtosis models

European Journal of Radiology Open 3, 79-85 (doi:10.1016/j.ejro.2016.04.002)

Drevelegas K, Nikiforaki K, Constantinides M, Papanikolaou N, Papalavrentios L, Stoikou I, Zarogoulidis P, Pitsiou G, Pataka A, Organtzis J, Papadaki E, Porpodis K, Kougioumtzi I, Kioumis I, Kouskouras C, Akriviadis E, Drevelegas A (2016)

Apparent Diffusion Coefficient Quantification in Determining the Histological Diagnosis of Malignant Liver Lesions

Journal of Cancer 7, 730-735 (doi:10.7150/jca.14197)

Miriam M van Heeswijk, Doenja M J Lambregts, Joost J M van Griethuysen, Stanley Oei, Sheng-Xiang Rao, Carla A M de Graaff, Roy F A Vliegen, Geerard L Beets, Nikos Papanikolaou, Regina G H Beets-Tan (2016)

Automated and semi-automated segmentation of rectal tumor volumes on diffusion-weighted MRI: can it replace manual volumetry?

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 94 (4), 824-831 (doi:10.1016/j.ijrobp.2015.12.017)

Sofia Gourtsoyianni, Nickolas Papanikolaou (2016)

Role of MR imaging in primary rectal Cancer - standard protocol and Beyond

Seminars in Ultrasound, CT and MRI 37 (4), 323-330 (doi:10.1053/j.sult.2016.02.004)

Gourtsoyianni S, Papanikolaou N. Epub 2016 Feb 15 (2016)

Role of Magnetic Resonance Imaging in Primary Rectal Cancer-Standard Protocol and Beyond.

Semin Ultrasound CT MR. 37 (4), 323-30 (doi:10.1053/j.sult.2016.02.004)

Ulyte A, Katsaros VK, Liouta E, Stranjalis G, Boskos C, Papanikolaou N, Usinskiene J, Bisdas S. (2016)

Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients.

Neuroradiology 58 (12), 1197-1208 (doi:10.1007/s00234-016-1741-7)

Martens MH, Lambregts DM, Papanikolaou N, Alefantinou S, Maas M, Manikis GC, Marias K, Riedl RG, Beets GL, Beets-Tan RG. (2015)

Magnetization transfer imaging to assess tumour response after chemoradiotherapy in rectal cancer.

European Radiology 26 (2), 390–397 (doi:10.1007/s00330-015-3856-3)

Lambregts DM, Martens MH, Quah RC, Nikiforaki K, Heijnen LA, Dejong CH, Beets GL, Marias K, Papanikolaou N, Beets-Tan RG. (2015)

Whole-liver diffusion-weighted MRI histogram analysis: effect of the presence of colorectal hepatic metastases on the remaining liver parenchyma

European Journal of Gastroenterology & Hepatology 27 (4), 399-404 (doi:10.1097/MEG.0000000000000316)

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