drs. T.U.U. (Alberto) de Nieuwenhuis

drs. T.U.U. (Alberto) de Nieuwenhuis

Assistant Professor
drs. T.U.U. (Alberto) de Nieuwenhuis
  • Image Sciences Institute

Research Programs

Strategic Program Cancer



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 (33)

Functional MRI Studies in Friedreich's Ataxia:A Systematic Review

Vavla Marinela, Arrigoni Filippo, Peruzzo Denis, Montanaro Domenico, Frijia Francesca, Pizzighello Silvia, De Luca Alberto, Della Libera Emma, Tessarotto Federica, Guerra Paola, Harding Ian H, Martinuzzi Andrea 10 Mar 2022, In: Frontiers in Neurology. 12

Tracking the Corticospinal Tract in Patients With High-Grade Glioma:Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches

Zhylka Andrey, Sollmann Nico, Kofler Florian, Radwan Ahmed, De Luca Alberto, Gempt Jens, Wiestler Benedikt, Menze Bjoern, Krieg Sandro M., Zimmer Claus, Kirschke Jan S., Sunaert Stefan, Leemans Alexander, Pluim Josien P.W. 14 Dec 2021, In: Frontiers in oncology. 11 , p. 1-15

Indices of callosal axonal density and radius from diffusion MRI relate to upper and lower limb motor performance

Gooijers J., De Luca A., Zivari Adab H., Leemans A., Roebroeck A., Swinnen S. P. 1 Nov 2021, In: NeuroImage. 241 , p. 1-12

Tractography dissection variability:What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Schilling Kurt G., Rheault François, Petit Laurent, Hansen Colin B., Nath Vishwesh, Yeh Fang Cheng, Girard Gabriel, Barakovic Muhamed, Rafael-Patino Jonathan, Yu Thomas, Fischi-Gomez Elda, Pizzolato Marco, Ocampo-Pineda Mario, Schiavi Simona, Canales-Rodríguez Erick J., Daducci Alessandro, Granziera Cristina, Innocenti Giorgio, Thiran Jean Philippe, Mancini Laura, Wastling Stephen, Cocozza Sirio, Petracca Maria, Pontillo Giuseppe, Mancini Matteo, Vos Sjoerd B., Vakharia Vejay N., Duncan John S., Melero Helena, Manzanedo Lidia, Sanz-Morales Emilio, Peña-Melián Ángel, Calamante Fernando, Attyé Arnaud, Cabeen Ryan P., Korobova Laura, Toga Arthur W., Vijayakumari Anupa Ambili, Parker Drew, Verma Ragini, Radwan Ahmed, Sunaert Stefan, Emsell Louise, De Luca Alberto, Leemans Alexander, Bajada Claude J., Haroon Hamied, Tax Chantal M.W., Fernandes Francisco Guerreiro, Raemaekers Mathijs, Nov 2021, In: NeuroImage. 243 , p. 1-18

Towards multicentre diffusion MRI studies in cerebral small vessel disease

de Luca Alberto, Biessels Geert Jan 18 Oct 2021, In: Journal of neurology, neurosurgery, and psychiatry. 93 , p. 5

Diffusion kurtosis imaging of white matter in bipolar disorder

Goghari Vina M, Kusi Mavis, Shakeel Mohammed K, Beasley Clare, David Szabolcs, Leemans Alexander, De Luca Alberto, Emsell Louise 31 Jul 2021, In: Psychiatry Research - Neuroimaging. 317 , p. 1-9

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types:Chronicles of the MEMENTO challenge

De Luca Alberto, Ianus Andrada, Leemans Alexander, Palombo Marco, Shemesh Noam, Zhang Hui, Alexander Daniel C, Nilsson Markus, Froeling Martijn, Biessels Geert-Jan, Zucchelli Mauro, Frigo Matteo, Albay Enes, Sedlar Sara, Alimi Abib, Deslauriers-Gauthier Samuel, Deriche Rachid, Fick Rutger, Afzali Maryam, Pieciak Tomasz, Bogusz Fabian, Aja-Fernández Santiago, Özarslan Evren, Jones Derek K, Chen Haoze, Jin Mingwu, Zhang Zhijie, Wang Fengxiang, Nath Vishwesh, Parvathaneni Prasanna, Morez Jan, Sijbers Jan, Jeurissen Ben, Fadnavis Shreyas, Endres Stefan, Rokem Ariel, Garyfallidis Eleftherios, Sanchez Irina, Prchkovska Vesna, Rodrigues Paulo, Landman Bennet A, Schilling Kurt G 6 Jul 2021, In: NeuroImage. 240 17 p.

Strain Tensor Imaging:Cardiac-induced brain tissue deformation in humans quantified with high-field MRI

Sloots Jacob-Jan, Biessels Geert Jan, de Luca Alberto, Zwanenburg Jaco J M 18 Apr 2021, In: NeuroImage. 236 , p. 1-14

Diffusion MRI harmonization enables joint-analysis of multicentre data of patients with cerebral small vessel disease

de Brito Robalo Bruno M., Biessels Geert Jan, Chen Christopher, Dewenter Anna, Duering Marco, Hilal Saima, Koek Huiberdina L., Kopczak Anna, Yin Ka Lam Bonnie, Leemans Alexander, Mok Vincent, Onkenhout Laurien P., van den Brink Hilde, de Luca Alberto Jan 2021, In: NeuroImage: Clinical. 32 , p. 1-14

Quantitative magnetic resonance imaging of the brachial plexus shows specific changes in nerve architecture in chronic inflammatory demyelinating polyneuropathy, multifocal motor neuropathy and motor neuron disease

van Rosmalen Marieke, Goedee H Stephan, Derks Rosina, Asselman Fay-Lynn, Verhamme Camiel, de Luca Alberto, Hendrikse J, van der Pol W Ludo, Froeling Martijn 2021, In: European Journal of Neurology. 28 , p. 2716-2726 11 p.

All research output

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