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Publicacions

  • Herrera D, Ochoa-Ruiz G, Stephan-Otto C, Gonzalez-Mendoza M, Munuera-del Cerro JL and Mata-Miquel C.

    Magnetic resonance image enhancement and segmentation using conventional and deep learning denoising techniques for dynamic cerebral angiography

    Health Information Science and Systems . 14(1): 9-9.

    [doi:10.1007/s13755-025-00406-x]

  • Romagosa J, Mata-Miquel C, Benítez R, Valls-Esteve A, Bernaus S, Ibnoulkhatib M, Stephan-Otto C and Munuera J.

    GradCAM as an explicability method to evaluate the performance of deep learning models in classifying pediatric arteriovenous malformations (AVM) in arterial spin labeling sequences (ASL)

    Health Information Science and Systems . 13(1): 69-69. Nº de cites: 1

    [doi:10.1007/s13755-025-00377-z]

  • Schiaroli, A, Mata-Miquel C, Scarponi, GE, Habib, AK, Kluge, M, Ustolin, F and Cozzani, V.

    Digital image processing for the advanced characterization and simulation of experimental fire tests

    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION . 201: . Nº de cites: 1

    [doi:10.1016/j.psep.2025.107571]

  • Bernaus S, Romagosa J, Mata-Miquel C, Stephan-Otto C, Benítez R, Valls-Esteve A and Munuera J.

    Novel classification of brain vascular tortuosity measures: A systematic review.

    COMPUTERS IN BIOLOGY AND MEDICINE . 190: 109990-109990. Nº de cites: 2

    [doi:10.1016/j.compbiomed.2025.109990]

  • Regalado M, Carreras-Blesa N, Mata-Miquel C, Oliver A, Lladó X and Agut-Quijano T.

    Automatic Segmentation of Sylvian Fissure in Brain Ultrasound Images of Pre-Term Infants Using Deep Learning Models

    ULTRASOUND IN MEDICINE AND BIOLOGY . 51(3): 543-550. Nº de cites: 2

    [doi:10.1016/j.ultrasmedbio.2024.11.016]

  • Rabanaque D, Regalado M, Benítez R, Rabanaque S, Agut-Quijano T, Carreras-Blesa N and Mata-Miquel C.

    Semi-Automatic GUI Platform to Characterize Brain Development in Preterm Children Using Ultrasound Images

    Journal of Imaging . 9(7): . Nº de cites: 1

    [doi:10.3390/jimaging9070145]

  • Herrera, D., Ochoa-Ruiz, G., Gonzalez-Mendoza, M., Stephan-Otto C and Mata-Miquel C.

    Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation

    LECTURE NOTES IN COMPUTER SCIENCE . : 22-24.

    [doi:10.1007/978-3-031-19493-1_3]

  • Sorrell AP, Mata-Miquel C, Cabrer M and Maestre F.

    DICOM Metada - A Useful Resource for Big Data Analytics

    HealthManagement.org . 22(4): .

  • Herrera D, Ochoa-Ruiz B, Gonzalez-Mendoza M and Mata-Miquel C.

    Retinal Vessel Deep Learning Segmentation Comparison

    LECTURE NOTES IN COMPUTER SCIENCE . : .

    [doi:10.1109/cvpr52688.2022]

  • Mata-Miquel C, Walker P, Oliver A, Martí J and Lalande A.

    Usefulness of Collaborative Work in the Evaluation of Prostate Cancer from MRI

    Clinics and Practice . 12(3): 350-362. Nº de cites: 4

    [doi:10.3390/clinpract12030040]