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 (47)

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

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

Multimodal tract-based MRI metrics outperform whole brain markers in determining cognitive impact of small vessel disease-related brain injury

De Luca Alberto, Kuijf Hugo, Exalto Lieza, Thiebaut de Schotten Michel, Biessels Geert-Jan, , Koek Dineke Sep 2022, In: Brain structure & function. 227 , p. 2553-2567 15 p.

Insights from the IronTract challenge:Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Maffei Chiara, Girard Gabriel, Schilling Kurt G, Aydogan Dogu Baran, Adluru Nagesh, Zhylka Andrey, Wu Ye, Mancini Matteo, Hamamci Andac, Sarica Alessia, Teillac Achille, Baete Steven H, Karimi Davood, Yeh Fang-Cheng, Yildiz Mert E, Gholipour Ali, Bihan-Poudec Yann, Hiba Bassem, Quattrone Andrea, Quattrone Aldo, Boshkovski Tommy, Stikov Nikola, Yap Pew-Thian, de Luca Alberto, Pluim Josien, Leemans Alexander, Prabhakaran Vivek, Bendlin Barbara B, Alexander Andrew L, Landman Bennett A, Canales-Rodríguez Erick J, Barakovic Muhamed, Rafael-Patino Jonathan, Yu Thomas, Rensonnet Gaëtan, Schiavi Simona, Daducci Alessandro, Pizzolato Marco, Fischi-Gomez Elda, Thiran Jean-Philippe, Dai George, Grisot Giorgia, Lazovski Nikola, Puch Santi, Ramos Marc, Rodrigues Paulo, Prčkovska Vesna, Jones Robert, Lehman Julia, Haber Suzanne N, 15 Aug 2022, In: NeuroImage. 257 , p. 1-17

All research output

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