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dr. A. de Luca

Assistant Professor
dr. A. de Luca
  • Neurology & Neurosurgery

Research Programs

Strategic Program Cancer

Biography

Biography

 

Alberto De Luca studied at the University of Padova, Italy, where he achieved the BSc in Biomedical Engineering (2011), the MSc in Bioengineering (2013) and the Ph.D. degree (2017). Since February 2017 he is part of the PROVIDI Lab at the Image Sciences Institute.

The acquisition and the modeling of the diffusion weighted MR signal are his main research interest.

Research Output (16)

Automated characterization of noise distributions in diffusion MRI data

St-Jean SJGRY, de Luca A, Tax Chantal, Viergever Max A., Leemans Alexander 17 jun 2020, In: Medical Image Analysis. 65 18 p.

Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data

Guo Fenghua, Leemans Alexander, Viergever Max A, Dell'Acqua Flavio, De Luca Alberto 16 mei 2020, In: NeuroImage. 218 16 p.

Data-Driven Identification of the Regions of Interest for Fiber Tracking in Patients with Brain Tumors

Metwali Hussam, De Luca Alberto, Ibrahim Tamer, Leemans Alexander, Samii Amir 2020, In: World Neurosurgery. 143 , p. e275-e284

The effect of gradient nonlinearities on fiber orientation estimates from spherical deconvolution of diffusion magnetic resonance imaging data

Guo Fenghua, de Luca Alberto, Parker Greg, Jones Derek K, Viergever Max A, Leemans Alexander, Tax Chantal M W 2020, In: Human Brain Mapping. 42 , p. 367-383 17 p.

On the sensitivity of the diffusion MRI signal to brain activity in response to a motor cortex paradigm

De Luca Alberto, Schlaffke Lara, Siero Jeroen C.W., Froeling Martijn, Leemans Alexander 1 dec 2019, In: Human Brain Mapping. 40 , p. 5069-5082 14 p.

Multi-center evaluation of stability and reproducibility of quantitative MRI measures in healthy calf muscles

Schlaffke Lara, Rehmann Robert, Rohm Marlena, Otto Louise A. M., de Luca Alberto, Burakiewicz Jedrzej, Baligand Celine, Monte Jithsa, den Harder Chiel, Hooijmans Melissa T., Nederveen Aart, Schlaeger Sarah, Weidlich Dominik, Karampinos Dimitrios C., Stouge Anders, Vaeggemose Michael, D'Angelo Maria Grazia, Arrigoni Filippo, Kan Hermien E., Froeling Martijn sep 2019, In: NMR in Biomedicine. 32

A robust deconvolution method to disentangle multiple water pools in diffusion MRI

De Luca Alberto, Leemans Alexander, Bertoldo Alessandra, Arrigoni Filippo, Froeling Martijn nov 2018, In: NMR in Biomedicine. 31

Multiparametric quantitative MRI assessment of thigh muscles in limb-girdle muscular dystrophy 2A and 2B

Arrigoni Filippo, De Luca Alberto, Velardo Daniele, Magri Francesca, Gandossini Sandra, Russo Annamaria, Froeling Martijn, Bertoldo Alessandra, Leemans Alexander, Bresolin Nereo, D'angelo Grazia 1 okt 2018, In: Muscle & Nerve. 58 , p. 550-558 9 p.

Evaluation of NODDI indexes in white and gray matter for the characterization of MS clinical features: pathological phenotypes, EDSS and disease duration

Tamanti A., Pisani A. I., De Luca A., Pizzini F. B., Castellaro M., Zuco C., Marastoni D., Crescenzo F., Scalfari A., Bertoldo A., Pitteri M., Magliozzi R., Calabrese M. okt 2018, In: Multiple Sclerosis Journal. 24 , p. 435-436

Automatic, fast and robust characterization of noise distributions for diffusion MRI

St-Jean Samuel, De Luca Alberto, Viergever Max A., Leemans Alexander 26 sep 2018, p. 304-312 9 p.

All research output