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AREA RISERVATA

AREA RISERVATA

Logo-IBFM--10-12

ISTITUTO DI BIOIMMAGINI E FISIOLOGIA MOLECOLARE

Consiglio Nazionale delle Ricerche

Logo-IBFM--10-12

ISTITUTO DI BIOIMMAGINI E FISIOLOGIA MOLECOLARE

Consiglio Nazionale delle Ricerche

Carmelo Militello

Bio sketch

 

Laurea Degree: Computer Science Engineering

Ph.D.: Computer Science Engineering

 

Editorial Board Member:

    • IEEE Access: Associate Editor
    • International Journal of Imaging Systems and Technology: Associate Editor

ORCID ID: 0000-0003-2249-9538

Scopus Author ID: 55410007000

 

Research field

 

His main research fields are digital image analysis and processing, radiomics, applied Machine Learning, digital architectures, hardware programmable devices.

 

CV

 

National collaboration

 

    • Hospital Fondazione ‘G.Giglio’, Cefalù
    • University of Milano-Bicocca – Department of Informatics, Systems and Communication (DISCo), Milan
    • University of Cagliari, Department of Pedagogy, Psychology, Philosophy, Cagliari
    • University of Roma-Sapienza – Department of Department of Mechanical and Aerospace Engineering (DIMA), Rome
    • University of Palermo – Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Palermo
    • University of Enna KORE – Faculty of Engineering and Architecture, Enna

International collaboration

 

    • Cambridge University – Department of Radiology, Cambridge, UK
    • Cambridge University – Cancer Research UK Cambridge Centre, Cambridge, UK

Recent Bibliography

 

    • Rundo, L.; Tangherloni, A.; Tyson, D. R.; Betta, R.; Militello, C.; Spolaor, S.; Nobile, M. S.; Besozzi, D.; Lubbock, A. L. R.; Quaranta, V.; Mauri, G.; Lopez, C. F.; Cazzaniga, P. “ACDC: Automated Cell Detection and Counting for Time-lapse Fluorescence Microscopy”. Appl. Sci. 2020, 10, 6187; https://doi.org/10.3390/app10186187
    • Conti, V.; Militello, C.; Rundo L.; Vitabile, S. “A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks”. IEEE Transactions on Emerging Topics in Computing, https://doi.org/10.1109/TETC.2020.3018312
    • Militello, C.; Rundo, L.; Minafra, L.; Cammarata, F.P.; Calvaruso, M.; Conti, V.; Russo, G. “MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation”. Symmetry 2020, 12(5), 773; https://doi.org/10.3390/sym12050773
    • Militello, C.; Rundo, L.; Toia, P.; Conti, V.; Russo, G.; Filorizzo, C.; Maffei, E.; Cademartiri, F.; La Grutta, L.; Midiri, M.; Vitabile, S. “A Semi-Automatic Approach for Epicardial Adipose Tissue Segmentation and Quantification on Cardiac CT Scans”. Computers in Biology and Medicine, Volume 114, 2019, 103424, ISSN 0010-4825, Elsevier, https://doi.org/10.1016/j.compbiomed.2019.103424
    • Rundo, L.; Han, C.; Nagano, Y.; Zhang, J.; Hataya, R.; Militello, C.; Tangherloni, A.; Nobile, M.S.; Ferretti, C.; Besozzi, D.; Gilardi, M.C.; Vitabile, S.; Mauri, G.; Nakayama, H.; Cazzaniga, P. “USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets”. Neurocomputing 365 (2019) 31–43, Elsevier, ISSN 0925-2312. https://doi.org/10.1016/j.neucom.2019.07.006
    • Minafra, L.; Porcino, N.; Bravatà, V.; Gaglio, D.; Bonanomi, M.; Amore, E.; Cammarata, F.P.; Russo, G.; Militello, C.; Savoca, G.; Baglio, M.; Abbate, B.; Iacoviello, G.; Evangelista, G.; Gilardi, M.C.; Bondì, M.L.; Forte, G. I. “Radiosensitizing effect of curcumin-loaded lipid nanoparticles in breast cancer cells”. Scientific Reports, Nature Publishing Group, ISSN 2045-2322, volume 9, Article number: 11134 (2019),  https://doi.org/10.1038/s41598-019-47553-2
    • Rundo, L.; Tangherloni, A.; Cazzaniga, P.; Nobile, M.S.; Russo, G.; Gilardi, M.C.; Vitabile, S.; Mauri, G.; Besozzi, D.; Militello, C. “A novel framework for MR image segmentation and quantification by using MedGA”. Computer Methods and Programs in Biomedicine, 176 (2019) 159-172, Elsevier, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2019.04.016
    • Rundo, L.; Tangherloni, A.; Nobile, M.S.; Militello, C.; Besozzi, D.; Mauri, G.; Cazzaniga, P. “MedGA: A novel evolutionary method for image enhancement in medical imaging systems”. Expert Systems with Applications, 119 (2019) 387–399, Elsevier, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2018.11.013
    • Rundo, L.; Militello, C.; Tangherloni, A.; Russo, G.; Vitabile, S.; Gilardi, M.C.; Mauri, G. “NeXt for Neuro-radiosurgery: A Fully Automatic Approach for Necrosis Extraction in Brain Tumor MRI Using an Unsupervised Machine Learning Technique”. International Journal of Imaging Systems and Technology – Wiley. Vol. 28, Issue 1, March 2018, pages 21–37, https://doi.org/10.1002/ima.22253
    • Militello, C.; Rundo, L.; Conti, V.; Minafra, L.; Cammarata, F.P.; Mauri, G.; Gilardi, M.C.; Porcino, N. “Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardware”. Computers in Biology and Medicine, Volume 89, 1 October 2017, Pages 454-465, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2017.08.005
    • Rundo, L.; Stefano, A.; Militello, C.; Russo, G.; Sabini, M.G.; D’arrigo, C.; Marletta, F.; Ippolito, M.; Mauri, G.; Vitabile, S.; Gilardi, M.C. “A Fully Automatic Approach for Multimodal PET and MR Image Segmentation in Gamma Knife Treatment Planning”. Computer Methods and Programs in Biomedicine – Elsevier, ISSN: 0169-2607, Volume 144, June 2017, Pages 77-96, ISSN 0169-2607, http://dx.doi.org/10.1016/j.cmpb.2017.03.011