Ileana Montoya Perez
MSc. in Information Technology
iimope@utu.fi Office: 452B ORCID identifier: 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 small and 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.
- Awareness of Smoking as a Risk Factor in Bladder Cancer: Results from the Prospective FinnBladder 9 Trial (2022)
- European Urology Focus
(Refereed journal article or data article (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 (2021)
- Journal of Magnetic Resonance Imaging
(Refereed journal article or data article (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
(Refereed journal article or data article (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). (2020)
- European Urology Oncology
(Refereed journal article or data article (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
(Refereed journal article or data article (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 (2020)
- European Urology Focus
(Refereed journal article or data article (A1)) - Prediction of prostate cancer aggressiveness using 18 F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI (2020)
- Scientific Reports
(Refereed journal article or data article (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
(Refereed journal article or data article (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
(Refereed journal article or data article (A1)) - Adverse Events During Neoadjuvant Chemotherapy for Muscle Invasive Bladder Cancer (2019)
- Bladder Cancer
(Refereed journal article or data article (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
(Refereed journal article or data article (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
(Refereed journal article or data article (A1)) - Luminometric label array for quantification of metal ions in drinking water – Comparison to human taste panel (2019)
- Microchemical Journal
(Refereed journal article or data article (A1)) - Prebiopsy IMPROD Biparametric Magnetic Resonance Imaging Combined with Prostate-Specific Antigen Density in the Diagnosis of Prostate Cancer: An External Validation Study (2019)
- European Urology Oncology
(Refereed journal article or data article (A1)) - Prediction of biochemical recurrence in prostate cancer patients who underwent prostatectomy using routine clinical prostate multiparametric MRI and decipher genomic score (2019)
- Journal of Magnetic Resonance Imaging
(Refereed journal article or data article (A1)) - Qualitative and Quantitative Reporting of a Unique Biparametric MRI: Towards Biparametric MRI-Based Nomograms for Prediction of Prostate Biopsy Outcome in Men With a Clinical Suspicion of Prostate Cancer (IMPROD and MULTI-IMPROD Trials) (2019)
- Journal of Magnetic Resonance Imaging
(Refereed journal article or data article (A1)) - Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization (2019)
- PLoS ONE
(Refereed journal article or data article (A1)) - Tournament leave-pair-out cross-validation for receiver operating characteristic analysis (2019)
- Statistical Methods in Medical Research
(Refereed journal article or data article (A1)) - Validation of IMPROD biparametric MRI in men with clinically suspected prostate cancer: A prospective multi-institutional trial (2019)
- PLoS Medicine
(Refereed journal article or data article (A1)) - Neoadjuvant Chemotherapy Does Not Increase the Morbidity of Radical Cystectomy: A 10-year Retrspective Nationwide Study (2018)
- European Urology Oncology
(Refereed journal article or data article (A1))