Vincent Peter C. Magboo

Vincent Peter C. Magboo

Professor

Mathematical and Computing Sciences Unit

Department of Physical Sciences and Mathematics

Biography

Education

  • MS Data Science

    Ateneo de Manila University

  • Doctor of Medicine

    University of Santo Tomas

  • Master of Statistics

    University of the Philippines Diliman

  • BS Mathematics

    University of the Philippines Diliman

Publications

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V.P.C. Magboo, P.A.R. Abu (2022). Deep Neural Network for Diagnosis of Bone Metastasis. ACM International Conference Proceeding Series.

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M.S.A. Magboo, V.P.C. Magboo (2022). Explainable AI for Autism Classification in Children. Smart Innovation, Systems and Technologies.

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Ma. Sheila A. Magboo, Vincent Peter C. Magboo (2022). Feature Importance Measures as Explanation for Classification Applied to Hospital Readmission Prediction. Procedia Computer Science.

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V.P.C. Magboo, M.S.A. Magboo (2022). Important Features Associated with Depression Prediction and Explainable AI. Communications in Computer and Information Science.

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Patricia Bautista-Peñalosa, Jonas Francisco Santiago, Eric Cruz, Vincent Peter Magboo (2022). Initial Safety and Efficacy Data of Lutetium-177 PSMA Radioligand Therapy in the Philippines. World Journal of Nuclear Medicine.

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M.T.F. Calangian, V.P.C. Magboo (2022). Predicting Drug-Target Interaction (DTI) based on Machine Learning with Lasso Dimensionality Reduction and SMOTE from Protein Sequence and Drug Fingerprint. International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022.

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V.P.C. Magboo, M.S.A. Magboo (2022). Prediction Models for COVID-19 in Children. Smart Innovation, Systems and Technologies.

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Vincent Peter C. Magboo, Ma. Sheila A. Magboo (2022). Prediction of Late Intrauterine Growth Restriction using Machine Learning Models. Procedia Computer Science.

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E. Etchebehere, R. Andrade, M. Camacho, M. Lima, A. Brink, J. Cerci, H. Nadel, C. Bal, V. Rangarajan, T. Pfluger, O. Kagna, O. Alonso, F.K. Begum, K.B. Mir, V.P. Magboo, L.J. Menezes, D. Paez, T.N. Pascual (2022). Validation of Convolutional Neural Networks for Fast Determination of Whole-Body Metabolic Tumor Burden in Pediatric Lymphoma. Journal of nuclear medicine technology.

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D. Paez, M.M. Sathekge, H. Douis, F. Giammarile, S. Fatima, A. Dhal, S.K. Puri, P.A. Erba, E. Lazzeri, R. Ferrando, P.A. Filho, V.P. Magboo, O. Morozova, R. Núñez, O. Pellet, G. Mariani (2021). Comparison of MRI, [18F]FDG PET/CT, and 99mTc-UBI 29-41 scintigraphy for postoperative spondylodiscitis—a prospective multicenter study. European Journal of Nuclear Medicine and Molecular Imaging.

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V.P. Catimbang Magboo, M.S. Abad Magboo (2021). Imputation Techniques and Recursive Feature Elimination in Machine Learning Applied to Type II Diabetes Classification. ACM International Conference Proceeding Series.

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V.P.C. Magboo, Ma.S.A. Magboo (2021). Machine learning classifiers on breast cancer recurrences. Procedia Computer Science.

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Cole B Hirschfeld, Maurizio Dondi, Thomas NB Pascual, Mathew Mercuri, Joao Vitola, Ganesan Karthikeyan, Nathan Better, John J Mahmarian, Salah E Bouyoucef, Henry Hee-Seung Bom, others (2021). Worldwide diagnostic reference levels for single-photon emission computed tomography myocardial perfusion imaging: findings from INCAPS. Cardiovascular Imaging.

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Cole B Hirschfeld, Mathew Mercuri, Thomas NB Pascual, Ganesan Karthikeyan, João V Vitola, John J Mahmarian, Nathan Better, Salah E Bouyoucef, Henry Hee-Seung Bom, Vikram Lele, others (2021). Worldwide variation in the use of nuclear cardiology camera technology, reconstruction software, and imaging protocols. Cardiovascular Imaging.

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J.J. Cerci, E.C. Etchebehere, H. Nadel, A. Brink, C.S. Bal, V. Rangarajan, T. Pfluger, O. Kagna, O. Alonso, F.K. Begum, K.B. Mir, V.P. Magboo, L.J. Menezes, D. Paez, T.N. Pascual (2019). Is true whole-body 18F-FDG PET/CT required in pediatric lymphoma? An IAEA multicenter prospective study. Journal of Nuclear Medicine.

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Contact

  • vcmagboo@up.edu.ph
  • Rm. 102, Rizal Hall, UP Manila, Padre Faura St., Ermita, Manila, NCR 1000