dr. A. (Alberto) de Luca

dr. A. (Alberto) de Luca

Assistant Professor
dr. A. (Alberto) de Luca
  • Image Sciences Institute

Research Programs



Alberto De Luca is an assistant professor at the Image Sciences Institute (ISI), Division Imaging & Oncology. Alberto studied at the University of Padova, Italy, where he received a BSc in Biomedical Engineering (2011), an MSc in Bioengineering (2013) and a Ph.D. degree (2017) defending a thesis entitled "Beyond DTI: non-Gaussian diffusion in the brain and skeletal muscle".

Alberto's research focuses on diffusion magnetic resonance imaging (MRI) methods, and their translation to clinical research, especially in the context of neurological diseases such as small vessel disease (in close collaboration with the Neurology Department - VCI Group), and cancer. Current key research interests are:

  • Methods to quantify fiber specific properties in grey and white matter and accurately study brain connectivity;
  • Harmonization of diffusion MRI data to enable large multi-center studies;
  • Robust quantification of physiological properties (such as perfusion and free water) with inverse methods;
  • Prediction of response to treatment in rare pediatric tumours (in collaboration with the Prinses Maxima Centrum, Utrecht) and in brain tumours;
  • Prediction of clinical outcomes (such as cognitive decline) in patients at risk of (vascular) dementia machine learning;

Alberto has previously received funding from the Italian Ministry of Health, the Kika Foundation and Hanarth Fonds, and has received the "Seal of Excellence" from the European Commission. 

Research Output (49)

Neuroimaging standards for research into small vessel disease-advances since 2013

Duering Marco, Biessels Geert Jan, Brodtmann Amy, Chen Christopher, Cordonnier Charlotte, de Leeuw Frank-Erik, Debette Stéphanie, Frayne Richard, Jouvent Eric, Rost Natalia S, Ter Telgte Annemieke, Al-Shahi Salman Rustam, Backes Walter H, Bae Hee-Joon, Brown Rosalind, Chabriat Hugues, De Luca Alberto, deCarli Charles, Dewenter Anna, Doubal Fergus N, Ewers Michael, Field Thalia S, Ganesh Aravind, Greenberg Steven, Helmer Karl G, Hilal Saima, Jochems Angela C C, Jokinen Hanna, Kuijf Hugo, Lam Bonnie Y K, Lebenberg Jessica, MacIntosh Bradley J, Maillard Pauline, Mok Vincent C T, Pantoni Leonardo, Rudilosso Salvatore, Satizabal Claudia L, Schirmer Markus D, Schmidt Reinhold, Smith Colin, Staals Julie, Thrippleton Michael J, van Veluw Susanne J, Vemuri Prashanthi, Wang Yilong, Werring David, Zedde Marialuisa, Akinyemi Rufus O, Del Brutto Oscar H, Markus Hugh S, Zhu Yi-Cheng, Smith Eric E, Dichgans Martin, Wardlaw Joanna M 23 May 2023, In: The Lancet. Neurology. 22 , p. 602-618 17 p.

Mean kurtosis-Curve (MK-Curve) correction improves the test–retest reproducibility of diffusion kurtosis imaging at 3 T

Christiaanse Ernst, Wyss Patrik O, Scheel-Sailer Anke, Frotzler Angela, Lehnick Dirk, Verma Rajeev K, Berger Markus F, Leemans Alexander, De Luca Alberto Mar 2023, In: NMR in Biomedicine. 36 , p. 1-17

Reconstruction of the Corticospinal Tract in Patients with Motor-Eloquent High-Grade Gliomas Using Multilevel Fiber Tractography Combined with Functional Motor Cortex Mapping

Zhylka A, Sollmann N, Kofler F, Radwan A, De Luca A, Gempt J, Wiestler B, Menze B, Schroeder A, Zimmer C, Kirschke J S, Sunaert S, Leemans A, Krieg S M, Pluim J 16 Feb 2023, In: AJNR. American journal of neuroradiology. 44 , p. 283-290 8 p.

Editorial:Is two better than one? Exploring tissue microstructure with multi-modal imaging: Quantitative MRI and beyond

De Luca Alberto, Schilling Kurt G., Ianus Andrada 8 Feb 2023, In: Frontiers in Neuroscience. 17 3 p.

Methodological considerations on segmenting rhabdomyosarcoma with diffusion-weighted imaging—What can we do better?

Chatziantoniou Cyrano, Schoot Reineke A., van Ewijk Roelof, van Rijn Rick R., ter Horst Simone A.J., Merks Johannes H.M., Leemans Alexander, De Luca Alberto 31 Jan 2023, In: Insights into Imaging. 14 , p. 1-15 15 p.

Advanced intraoperative MRI in pediatric brain tumor surgery

Jellema Pien E J, Wijnen Jannie P, De Luca Alberto, Mutsaerts Henk J M M, Obdeijn Iris V, van Baarsen Kirsten M, Lequin Maarten H, Hoving Eelco W 2023, In: Frontiers in Physiology. 14

Corrigendum:Topology of diffusion changes in corpus callosum in Alzheimer's disease: An exploratory case-control study (Frontiers in Neurology, (2022), 13, (1005406), 10.3389/fneur.2022.1005406)

Kumar Sumeet, De Luca Alberto, Leemans Alexander, Saffari Seyed Ehsan, Hartono Septian, Zailan Fatin Zahra, Ng Kok Pin, Kandiah Nagaendran 2023, In: Frontiers in Neurology. 14

Topology of diffusion changes in corpus callosum in Alzheimer's disease:An exploratory case-control study

Kumar Sumeet, De Luca Alberto, Leemans Alexander, Saffari Seyed Ehsan, Hartono Septian, Zailan Fatin Zahra, Ng Kok Pin, Kandiah Nagaendran 30 Nov 2022, In: Frontiers in Neurology. 13 , p. 1-11

Neurological soft signs in adolescents are associated with brain structure

Bonke Elena M, Bonfert Michaela V, Hillmann Stefan M, Seitz-Holland Johanna, Gaubert Malo, Wiegand Tim L T, De Luca Alberto, Cho Kang Ik K, Sandmo Stian B, Yhang Eukyung, Tripodis Yorghos, Seer Caroline, Kaufmann David, Kaufmann Elisabeth, Muehlmann Marc, Gooijers Jolien, Lin Alexander P, Leemans Alexander, Swinnen Stephan P, Bahr Roald, Shenton Martha E, Pasternak Ofer, Tacke Uta, Heinen Florian, Koerte Inga K 24 Nov 2022, In: Cerebral Cortex. 33 , p. 5547-5556 10 p.

Improved sensitivity and precision in multicentre diffusion MRI network analysis using thresholding and harmonization

de Brito Robalo Bruno M, de Luca Alberto, Chen Christopher, Dewenter Anna, Duering Marco, Hilal Saima, Koek Huiberdina L, Kopczak Anna, Lam Bonnie Yin Ka, Leemans Alexander, Mok Vincent, Onkenhout Laurien P, van den Brink Hilde, Biessels Geert Jan 3 Oct 2022, In: NeuroImage. Clinical. 36

All research output

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