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Marco Da Cunha Pinho

Calculated based on number of publications stored in Pure and citations from Scopus
20072024

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  • 2022

    Disparity Autoencoders for Multi-class Brain Tumor Segmentation

    Bangalore Yogananda, C. G., Das, Y., Wagner, B. C., Nalawade, S. S., Reddy, D., Holcomb, J., Pinho, M. C., Fei, B., Madhuranthakam, A. J. & Maldjian, J. A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 116-124 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Scopus citations

  • Is this good enough on expert perception of brain tumor segmentation quality

    Hoebel, K., Bridge, C. P., Ahmed, S., Akintola, O., Chung, C., Huang, R., Johnson, J., Kim, A., Ina Ly, K., Chang, K., Patel, J., Pinho, M., Batchelor, T. T., Rosen, B., Gerstner, E. & Kalpathy-Cramer, J., 2022, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment. Mello-Thoms, C. R., Mello-Thoms, C. R. & Taylor-Phillips, S. (eds.). SPIE, 120350P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12035).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations
  • 2020

    Fully automated brain tumor segmentation and survival prediction of gliomas using deep learning and MRI

    Bangalore Yogananda, C. G., Wagner, B., Nalawade, S. S., Murugesan, G. K., Pinho, M. C., Fei, B., Madhuranthakam, A. J. & Maldjian, J. A., 2020, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 99-112 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11993 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations
  • 2017

    Radiographic-deformation and textural heterogeneity (r-DepTH): An integrated descriptor for brain tumor prognosis

    Prasanna, P., Mitra, J., Beig, N., Partovi, S., Singh, G., Pinho, M., Madabhushi, A. & Tiwari, P., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Jannin, P., Duchesne, S., Descoteaux, M., Franz, A., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 459-467 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10434 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    7 Scopus citations