Patents & Publications

We are passionate about research. We did a considerable amount of it during our academic careers and we continue to do it.
Here you can find out how we convert knowledge into assets in industry, life sciences, and medical imaging.


Patents

Industrial

  • (2019) M. Roffilli : "Method for estimating measurable properties in a three-dimensional volume of material", EU PCT/IB2019/054072, US Patent Application 17/056,364, applicant BIORETICS SRL
    1. (2018) M. Roffilli : "Metodo per la stima di proprietà misurabili in un volume tridimensionale di materiale", Italian Patent n. 102018000005488, applicant BIORETICS SRL
  • (2017) M. Roffilli : "A method for automatic search for zones of interest in digital images of biological origin", WO/2017/072685, applicant BIORETICS SRL
    1. (2015) M. Roffilli : "Metodo per la ricerca automatica di zone di interesse in immagini digitali di provenienza biologica", applicant BIORETICS SRL
    2. (2017) S. Crociani, E. Prosapio, R. Prosapio,M. Roffilli : "An apparatus for measuring fruit and vegetable products; in particular defective fruit and vegetable products", WO/2017/072693, applicant SER.MAC SRL
    3. (2018) S. Crociani, E. Prosapio, M. Roffilli : "An apparatus for detecting damaged fruit and vegetable product", WO/2018/002841, applicant SER.MAC SRL

Life Sciences/Medical Imaging

  • (2002) R. Campanini, M. Roffilli , N. Lanconelli: “Method, and corresponding apparatus, for automatic detection of regions of interest in digital images of biological tissue”, US Patent Application 10/231,800, applicant Alma Mater Studiorum Università di Bologna
    1. (2002) R. Campanini, M. Roffilli , N. Lanconelli: “Automatic detection of region of interest in digital images of biological tissue”, Pending European Patent n. 02027970.9-2218, applicant University of Bologna
    2. (2001) R. Campanini, M. Roffilli , N. Lanconelli: “Metodo, e relativa apparecchiatura, per la ricerca automatica di zone di interesse in immagini digitali di tessuto biologico”, Brevetto Italiano n. BO2001A000763, applicant Alma Mater Studiorum Università di Bologna
  • (2007) M. Roffilli , E. Iampieri, E. Angelini, M. Masotti: “Method and corresponding apparatus for automatically searching for zones of interest in digital images”,Pending European Patent (not maintained) n. 07005457.2-1225, applicant ARCADIA LAB SRL
    1. (2006) M. Roffilli , E. Iampieri, E. Angelini, M. Masotti: “Metodo, e relativa apparecchiatura, per la ricerca automatica di zone di interesse in immagini digitali”, Brevetto Italiano n. BO2006A200, applicant ARCADIA LAB SRL

Publications

Datasets

  • Constantini, I., Mazzamuto, G., Roffilli, M., Laurino, A., Castelli, F., Neri, M., Lughi, G., Simonetto, A., Lazzeri, E., Pesce, L., Destrieux, C., Silvestri, L., Conti, V., Guerrini, R., & Pavone, F., "3D reconstruction and analysis of four human brain cortex samples with two-photon fluorescence microscopy", EBRAINS. DOI: 10.25493/SNWB-YQR (2020)

Life Sciences/Medical Imaging

  • Costantini, Mazzamuto, Roffilli, Castelli, Neri, Lughi, Simonetto, Laurino, Lazzeri, Pesce, Destrieux, Silvestri, Conti, Guerrini, Pavone, “Large-scale, cell-resolution volumetric mapping allows layer-specific investigation of human brain cytoarchitecture”, Biomedical Optics Express (2021), accepted revised from "A combined pipeline for quantitative analysis of human brain cytoarchitecture", bioRxiv (2020)

  • Filippo Castelli, Giacomo Mazzamuto, Matteo Roffilli, Irene Costantini, Ludovico Silvestri, Francesco Saverio Pavone, "Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data", arXiv The Sixth International Conference on Machine Learning, Optimization, and Data Science (2020)

  • ..., Roffilli et alii, 6th Annual Brain Initiative Investigators Meeting, USA (2020)

    1. "Multimodal Image Analysis and Registration for the Creation of Human Brain Cellular Atlas"
    2. "A multi-modality imaging infrastructure linking histology to MRI"
    3. "A multi-modal image analysis pipeline for cellular typology in the framework of an MRI-based atlas coordinate system of the human cerebral cortex"
    4. "Human brain cell census: sample preparation for multimodal analysis including MRI, OCT, LSFM and cell-type specific stereology"
  • Vladislav Gavryusev, Luca Pesce, Annunziatina Laurino, Giacomo Mazzamuto, Giuseppe Sancataldo, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Irene Costantini, Francesco Pavone, "Swift light sheet volumetric charting of large human brain portions", OSA Biophotonics Congress: Biomedical Optics (BioMed 2020)

  • Luca Pesce, Annunziatina Laurino, Vladislav Gavryusev, Giacomo Mazzamuto, Giuseppe Sancataldo, Marina Scardigli, Matteo Roffilli, Ludovico Silvestri, Irene Costantini, Francesco Pavone, "Fast volumetric mapping of human brain slices", Proc. SPIE 11226, Neural Imaging and Sensing 2020, 112260B (21 February 2020); https://doi.org/10.1117/12.2544133

  • Irene Costantini, Giacomo Mazzamuto, Annunziatina Laurino, Erica Lazzeri, Leonardo Sacconi, Mattia Neri, Andrea Simonetto, M. Roffilli, Ludovico Silvestri, Francesco Pavone, "Three-dimensional analysis of human brain cytoarchitectonics by means of a SWITCH/TDE-combined clearing method", SPIE European Conference, Munich, Session 2:Neurophotonics, 26 June 2019

  • Giacomo Mazzamuto, Francesco Orsini, Matteo Roffilli,Francesco Pavone, Ludovico Silvestri, "Deep learning strategies for scalable analysis of high-resolution brain imagery", SPIE European Conference, Munich, Neurophotonics, 2019 (https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11076/2527055/Deep-learning-strategies-for-scalable-analysis-of-high-resolution-brain/10.1117/12.2527055.short?SSO=1)

  • G. Mazzamuto, L. Silvestri, I. Costantini, F. Orsini, M. Roffilli, P. Frasconi, L. Sacconi, and F.S. Pavone, "Software Tools for Efficient Processing of High-Resolution 3D Images of Macroscopic Brain Samples" in Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS), OSA Technical Digest (Optical Society of America, 2018), paper JTh3A.64

  • G. Mazzamuto, L. Silvestri, I. Costantini, F. Orsini, M. Roffilli, P. Frasconi, and F.S. Pavone, "A software pipeline for efficient processing of 3D high-resolution microscopy images of large brain samples", 2nd HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Com (HBPSC 2018), Ljubljana, 2018

  • Mazzamuto G., Costantini I., Neri M.,Roffilli M., Silvestri L., Pavone F.S. "Automatic Segmentation of Neurons in 3D Samples of Human Brain Cortex". In: Sim K., Kaufmann P. (eds) Applications of Evolutionary Computation. EvoApplications 2018. Lecture Notes in Computer Science, vol 10784. Springer,2018

  • G. Mazzamuto, L. Silvestri, I. Costantini, F. Orsini, M. Roffilli, P. Frasconi, L. Sacconi, and F.S. Pavone, "Software tools for high-throughput stitching and processing of μm-resolution 3D images of brain samples", World 2017 Neuroscience Meeting, Washington D.C., 2017

  • I. Costantini, L. Silvestri, E. Lazzeri, V. Conti, C. Del Torto, G. Mazzamuto, M. Roffilli, L. Sacconi, R. Guerrini, F. S. Pavone, "Three-dimensional investigation of neuronal layer distribution in human brain cortex", World 2017 Neuroscience Meeting, Washington D.C., 2017

  • M.C. Pettenati and M. Roffilli, “A Computer Aided Diagnosis System for Large-scale Digital Pathology”, Proceedings of BIT 6th Annual World Cancer Congress (WCC-2013), Xian, China, May 23-25, 2013

Industrial/Other

  • O. Schiaratura, P. Ansaloni, G. Lughi, M. Neri, M. Roffilli, F. Serpi, A. Simonetto: “SoC based pattern recognition for Non Destructive Testing system”, International Workshop on Machine learning, Optimization and big Data (MOD 2015), July 21-23 2015
  • B. Bois, A. Volta, G. Lughi, M. Roffilli…: “GIS, mechanistic modelling and ontology: a performing mix for precision and sustainable viticulture”, Proc. of 37h World Congress of Vine and Wine, Mendoza, Argentina, November 9-14 2014
  • P. Ansaloni, G. Bollini, MC. Nannetti, M. Roffilli: “Realizzazione di un plugin open source per QGIS per il calcolo degli indicatori di VAS del PTPR della Regione Emilia-Romagna”, Proc. of 18a Conferenza Nazionale ASITA – Federazione delle Associazioni Scientifiche per le Informazioni Territoriali e Ambientali, October 2014
  • M. Roffilli: “Simulazioni di traffico veicolare e modello radiativo: una interpretazione congiunta”, Proc. of 16a Conferenza Nazionale ASITA – Federazione delle Associazioni Scientifiche per le Informazioni Territoriali e Ambientali, November 2012, ISBN 978-88-903132-7-1
  • E. Cerri and M. Roffilli: “Un sistema quantitativo a supporto delle decisioni per la pianificazione territoriale: il caso Unione dei Comuni del Rubicone”, Proc. of 16a Conferenza Nazionale ASITA – Federazione delle Associazioni Scientifiche per le Informazioni Territoriali e Ambientali, November 2012, ISBN 978-88-903132-7-1

Previous internship thesis

  • Meglioli , Greta (2020) Feature engineering of Convolutional Neural Networks in biological imaging [Laurea magistrale 110 e lode], Università di Modena e Reggio Emilia, Corso di Studio in Matematica
  • Calvanese, Giordano (2020) Volumetric Deep Learning techniques in Oil&Gas exploration [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Fisica
  • Mariani, Tommaso (2020) Deep Reinforcement Learning for Industrial Applications [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Fisica
  • Castelli, Filippo Maria (2019) 3D CNN methods in biomedical image segmentation [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Fisica
  • Camborata, Caterina (2019) Capsule networks: a new approach for brain imaging [Laurea magistrale 110], Università di Bologna, Corso di Studio in Fisica
  • Barnabò, Andrea (2017) Machine learning techniques for mammography applications [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Fisica
  • Nurrito, Eugenio (2016) Scattering networks: efficient 2D implementation and application to melanoma classification. [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Fisica
  • Mattia, Carmine (2016) Exploring CNNs: an application study on nuclei recognition task in colon cancer histology images [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Fisica
  • Neri, Mattia (2014) Segmentazione di immagini mammografiche con convolutional neural networks [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Fisica
  • Ansaloni, Pietro (2013) Analisi di immagini con trasformata Ranklet: ottimizzazioni computazionali su CPU e GPU [Laurea magistrale 110 e lode], Università di Bologna, Corso di Studio in Informatica