Search Results - "Rundo, F."

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  1. 1

    Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction by Bellitto, G., Proietto Salanitri, F., Palazzo, S., Rundo, F., Giordano, D., Spampinato, C.

    Published in International journal of computer vision (01-12-2021)
    “…In this work, we propose a 3D fully convolutional architecture for video saliency prediction that employs hierarchical supervision on intermediate maps…”
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    Journal Article
  2. 2

    Neutrophil-to-lymphocyte ratio and lactate dehydrogenase as biomarkers for urothelial cancer treated with immunotherapy by Banna, G. L., Di Quattro, R., Malatino, L., Fornarini, G., Addeo, A., Maruzzo, M., Urzia, V., Rundo, F., Lipari, H., De Giorgi, U., Basso, U.

    Published in Clinical & translational oncology (01-11-2020)
    “…Purpose To identify patients with metastatic urothelial cancer (mUC) unlikely to benefit from immune-checkpoint inhibitors (ICIs). Methods/Patients We explored…”
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    Journal Article
  3. 3

    Spectral electroencephalography profile of rapid eye movement sleep at sleep onset in narcolepsy type 1 by Pizza, F., Ferri, R., Vandi, S., Rundo, F., Iloti, M., Neccia, G., Plazzi, G.

    Published in European journal of neurology (01-02-2017)
    “…Background and purpose The sleep‐onset rapid eye movement (REM) period (SOREMP), the hallmark of narcolepsy, may be a specific state and not the simple…”
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    Journal Article
  4. 4

    Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans by Murabito, F., Palazzo, S., Salanitri, F. Proietto, Rundo, F., Bagci, U., Giordano, D., Leonardi, R., Spampinato, C.

    “…In this paper we define a deep learning architecture for automated segmentation of anatomical structures in Craniomaxillofacial (CMF) CT scans that leverages…”
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    Conference Proceeding
  5. 5

    Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans by Palazzo, S., Bellitto, G., Prezzavento, L., Rundo, F., Bagci, U., Giordano, D., Leonardi, R., Spampinato, C.

    “…In this paper we define a deep multi-stage architecture for automated landmarking of craniomaxillofacial (CMF) CT images. Our model is composed of three…”
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    Conference Proceeding
  6. 6

    Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans by Pino, C., Palazzo, S., Trenta, F., Cordero, F., Bagci, U., Rundo, F., Battiato, S., Giordano, D., Aldinucci, M., Spampinato, C.

    “…Genetic profiling and characterization of lung cancers have recently emerged as a new technique for targeted therapeutic treatment based on immunotherapy or…”
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    Conference Proceeding
  7. 7

    Self Organizing Motor Maps for Color-Mapped Image Re-Indexing by Battiato, S., Rundo, F., Stanco, F.

    Published in IEEE transactions on image processing (01-12-2007)
    “…Palette re-ordering is an effective approach for improving the compression of color-indexed images. If the spatial distribution of the indexes in the image is…”
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    Journal Article
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    Attention-Based Convolutional Neural Network for CT Scan COVID-19 Detection by Rondinella, A., Guarnera, F., Giudice, O., Ortis, A., Rundo, F., Battiato, S.

    “…The accurate detection of Covid-19 from chest Computed Tomography (CT) images can assist in early diagnosis and management of the disease. This paper presents…”
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    Conference Proceeding
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    EEG synchronisation during sleep-related epileptic seizures as a new tool to discriminate confusional arousals from paroxysmal arousals: preliminary findings by Zucconi, M, Manconi, M, Bizzozero, D, Rundo, F, Stam, C J, Ferini-Strambi, L, Ferri, R

    Published in Neurological sciences (01-12-2005)
    “…Confusional arousals, paroxysmal arousals (as part of the nocturnal frontal lobe epilepsy) and normal arousals and awakenings from NREM sleep are frequently a…”
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    Journal Article
  12. 12

    Exploiting structured high-level knowledge for domain-specific visual classification by Palazzo, S., Murabito, F., Pino, C., Rundo, F., Giordano, D., Shah, M., Spampinato, C.

    Published in Pattern recognition (01-04-2021)
    “…•Use computational ontologies to represent visual semantics for specific domains.•Integrate high-level structured semantic information into machine learning…”
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    Journal Article
  13. 13

    0729 EFFECTS OF CHRONIC CLONAZEPAM ADMINISTRATION ON REM SLEEP INSTABILITY IN RAPID EYE MOVEMENT SLEEP BEHAVIOR DISORDER by Ferri, R, Rundo, F, Silvani, A, Zucconi, M, Bruni, O, Ferini-Strambi, L, Plazzi, G, Manconi, M

    Published in Sleep (New York, N.Y.) (28-04-2017)
    “…Abstract Introduction: Clonazepam is the first-line treatment for idiopathic REM sleep behavior disorder (RBD); however, the way it modifies the clinical…”
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    Journal Article
  14. 14

    Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-based COVID-19 Assessment by Rundo, F., Genovese, A., Leotta, R., Scotti, F., Piuri, V., Battiato, S.

    “…COVID-19 diagnosis using chest x-ray (CXR) imaging has a greater sensitivity and faster acquisition procedures than the Real-Time Polimerase Chain Reaction…”
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    Conference Proceeding
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    Dynamics of the EEG slow-wave synchronization during sleep by Ferri, Raffaele, Rundo, Francesco, Bruni, Oliviero, Terzano, Mario G., Stam, Cornelis J.

    Published in Clinical neurophysiology (01-12-2005)
    “…To study the dynamics of spatial synchronization of the slow-wave activity recorded from different scalp electrodes during sleep in healthy normal controls. We…”
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    Journal Article
  17. 17

    ALZ: Adaptive Learning for Zooming Digital Images by Battiato, S., Rundo, F., Stanco, F.

    “…In this paper a new method for zooming color images is proposed. It is based on a self organizing system that runs as "intelligent" assistant during the…”
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    Conference Proceeding
  18. 18

    BioTrak: A Blockchain-based Platform for Food Chain Logistics Traceability by Spitalleri, A, Kavasidis, I, Cartelli, V, Mineo, R, Rundo, F, Palazzo, S, Spampinato, C, Giordano, D

    Published 19-04-2023
    “…The food supply chain, following its globalization, has become very complex. Such complexities, introduce factors that influence adversely the quality of…”
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    Journal Article
  19. 19

    A bio-inspired CNN with re-indexing engine for lossless DNA microarray compression and segmentation by Battiato, S., Rundo, F.

    “…The DNA microarray images allow to analyze the natural gene expressions. In this paper we propose an advanced method to efficiently address the imaging storage…”
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    Conference Proceeding
  20. 20

    A Cellular Neural Network for Zooming Digital Colour Images by Battiato, S., Giuffrida, E.U., Rundo, F.

    “…In this paper we propose a novel zooming algorithm based on the use of cellular neural networks (CNNs). The CNNs have been used successfully in many areas of…”
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    Conference Proceeding