Laura Burattini
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Explore the profile of Laura Burattini including associated specialties, affiliations and a list of published articles.
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Recent Articles
1.
Bruschi G, Sbrollini A, Pecci F, Cognigni V, Paoloni F, Galassi T, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039199
Tumor-Infiltrating Lymphocytes (TIL) are emerging as immunotherapy prognostic markers. Currently, TIL are assessed on hematoxylin and eosin (H&E)-stained slides of tumor tissue by pathologists. This approach is time-consuming, and subjected...
2.
Bruschi G, Vassallo F, Sbrollini A, Morettini M, Burattini L
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40038981
Due to its complexity and time-consuming nature, identifying gliomas at the Magnetic Resonance Imaging (MRI) slice-level before segmentation could assist clinicians in minimizing the time required for this procedure. In...
3.
Romagnoli S, Sbrollini A, Burattini L, Martinez J, Laguna P
IEEE Trans Biomed Eng
. 2025 Mar;
PP.
PMID: 40030280
Objectives: Elevated heterogeneity in ventricular repolarization can promote malignant ventricular arrhythmias. During exercise, distinct ventricular cells may present different repolarization adaptation to heart-rate (HR) changes potentially increasing ventricular repolarization dispersion....
4.
Del Giudice L, Piersanti A, Gobl C, Burattini L, Tura A, Morettini M
J Diabetes Sci Technol
. 2025 Feb;
:19322968251316896.
PMID: 39953711
Background: Poor data availability and accessibility characterizing some research areas in biomedicine are still limiting potentialities for increasing knowledge and boosting technological advancement. This phenomenon also characterizes the field of...
5.
Sbrollini A, Leoni C, Morettini M, Swenne C, Burattini L
Heliyon
. 2025 Jan;
11(1):e41195.
PMID: 39834449
Background: Deep-learning applications in cardiology typically perform trivial binary classification and are able to discriminate between subjects affected or not affected by a specific cardiac disease. However, this working scenario...
6.
Mengarelli A, Tigrini A, Scattolini M, Mobarak R, Burattini L, Fioretti S, et al.
Sensors (Basel)
. 2024 Dec;
24(23).
PMID: 39686306
The volitional control of powered assistive devices is commonly performed by mapping the electromyographic (EMG) activity of the lower limb to joints' angular kinematics, which are then used as the...
7.
Tigrini A, Mobarak R, Mengarelli A, Khushaba R, Al-Timemy A, Verdini F, et al.
Sensors (Basel)
. 2024 Sep;
24(17).
PMID: 39275739
Gait phase recognition systems based on surface electromyographic signals (EMGs) are crucial for developing advanced myoelectric control schemes that enhance the interaction between humans and lower limb assistive devices. However,...
8.
Iammarino E, Marcantoni I, Sbrollini A, Mortada M, Morettini M, Burattini L
Sensors (Basel)
. 2024 Jul;
24(14).
PMID: 39066076
Electroencephalography (EEG) wearable devices are particularly suitable for monitoring a subject's engagement while performing daily cognitive tasks. EEG information provided by wearable devices varies with the location of the electrodes,...
9.
Mengarelli A, Tigrini A, Verdini F, Scattolini M, Mobarak R, Burattini L, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2024 Jun;
32:2388-2397.
PMID: 38923488
The early diagnosis of diabetic neuropathy (DN) is fundamental in order to enact timely therapeutic strategies for limiting disease progression. In this work, we explored the suitability of standing balance...
10.
Marcantoni I, Piccolantonio G, Ghoushi M, Valenti M, Reversi L, Mariotti F, et al.
Front Hum Neurosci
. 2024 May;
18:1363098.
PMID: 38812473
Introduction: Functional connectivity (FC) is defined in terms of temporal correlations between physiological signals, which mainly depend upon structural (axonal) connectivity; it is commonly studied using functional magnetic resonance imaging...