Ileana Montoya Perez
MSc. in Information Technology
iimope@utu.fi Työhuone: 452B ORCID-tunniste: https://orcid.org/0000-0002-9744-9204 |
Data analysis; Machine learning; Statistics; Databases; Web-development
MSc. Ileana Montoya Perez, a Ph.D. candidate and project researcher in computer science at the University of Turku (UTU), graduated as a Systems and computer engineer in 2000, worked as a software developer for the industry, and in education as an ICT coordinator for over ten years. She received her master’s degree in Information Technology in April 2014 from UTU. Since May 2014, she has worked as a web developer on an interdisciplinary project between Dept. of Urology (TYKS) and the Dept. of Computing (UTU), designing and building databases and web applications to collect and present retrospective data for bladder and prostate cancer research. At the same time, she started her research on machine learning methods for performance evaluation when the available data is limited and challenging. This research has been active collaboration between the Dept. of Computing, Dept. of Radiology, and Dept. of Urology. Since the start of 2021, she is been part of the PRIVASA group, researching the technical aspect of privacy-preserving of artificial intelligence (AI) for synthetic and anonymous health data.
Currently working on two research areas: Data analysis and performance evaluation with challenging data sets: prostate cancer as a case study, and privacy-preservation of AI for synthetic and anonymous health data. The former aims to develop, apply, and evaluate machine learning methods to combinations of clinical variables, kallikreins, and magnetic resonance imaging (MRI) parameters for detecting and characterizing prostate tumors, while the latter aims to evaluate and develop techniques for preserving the privacy of health data by generating differentially private synthetic data or by applying differential privacy to study statistics to maintain participants' privacy.
Areas of interest in teaching are data analysis and machine learning, especially performance evaluation methods.
- Diagnosis of prostate cancer with magnetic resonance imaging in men treated with 5-alpha-reductase inhibitors (2023)
- World Journal of Urology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)
- Proceedings (IEEE International Symposium on Computer-Based Medical Systems)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Nationwide analysis of survival after radical cystectomy for bladder cancer in Finland (2023)
- Acta Oncologica
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Awareness of Smoking as a Risk Factor in Bladder Cancer: Results from the Prospective FinnBladder 9 Trial (2022)
- European Urology Focus
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer (2022)
- Journal of Magnetic Resonance Imaging
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Individualised non-contrast MRI-based risk estimation and shared decision-making in men with a suspicion of prostate cancer: protocol for multicentre randomised controlled trial (multi-IMPROD V.2.0) (2022)
- BMJ Open
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Predicting the Need for Biopsy to Detect Clinically Significant Prostate Cancer in Patients with a Magnetic Resonance Imaging–detected Prostate Imaging Reporting and Data System/Likert ≥3 Lesion: Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score (2022)
- European Urology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Quicksort leave-pair-out cross-validation for ROC curve analysis (2022)
- Computational Statistics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - The Mount Sinai Prebiopsy Risk Calculator for Predicting any Prostate Cancer and Clinically Significant Prostate Cancer: Development of a Risk Predictive Tool and Validation with Advanced Neural Networking, Prostate Magnetic Resonance Imaging Outcome Database, and European Randomized Study of Screening for Prostate Cancer Risk Calculator (2022)
- European Urology Open Science
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Combined Use of Prostate-specific Antigen Density and Magnetic Resonance Imaging for Prostate Biopsy Decision Planning: A Retrospective Multi-institutional Study Using the Prostate Magnetic Resonance Imaging Outcome Database (PROMOD). (2021)
- European Urology Oncology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Negative Predictive Value of Biparametric Prostate Magnetic Resonance Imaging in Excluding Significant Prostate Cancer: A Pooled Data Analysis Based on Clinical Data from Four Prospective, Registered Studies (2021)
- European Urology Focus
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Added value of systematic biopsy in men with a clinical suspicion of prostate cancer undergoing biparametric MRI-targeted biopsy: multi-institutional external validation study (2020)
- World Journal of Urology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Impact of biparametric prebiopsy prostate magnetic resonance imaging on the diagnostics of clinically significant prostate cancer in biopsy naïve men (2020)
- Scandinavian Journal of Urology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Prediction of prostate cancer aggressiveness using 18 F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI (2020)
- Scientific Reports
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques (2020)
- Journal of Magnetic Resonance Imaging
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Symptoms and diagnostic delays in bladder cancer with high risk of recurrence: results from a prospective FinnBladder 9 trial (2020)
- World Journal of Urology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Adverse Events During Neoadjuvant Chemotherapy for Muscle Invasive Bladder Cancer (2019)
- Bladder Cancer
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Correlation between 18F-1-amino-3-fluorocyclobutane-1-carboxylic acid (18F-fluciclovine) uptake and expression of alanine-serine-cysteine-transporter 2 (ASCT2) and L-type amino acid transporter 1 (LAT1) in primary prostate cancer (2019)
- EJNMMI Research
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - IMPROD biparametric MRI in men with a clinical suspicion of prostate cancer (IMPROD Trial): Sensitivity for prostate cancer detection in correlation with whole-mount prostatectomy sections and implications for focal therapy (2019)
- Journal of Magnetic Resonance Imaging
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)) - Luminometric label array for quantification of metal ions in drinking water – Comparison to human taste panel (2019)
- Microchemical Journal
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))