Research Profile

Eric Wolsztynski

Biography

Highlights
 Short Bio

I obtained my PhD in Statistical Signal and Image Processing at the University of Nice (France) in 2006, working on theoretical aspects of robust estimation methods and their application to image processing. In 2007 I joined the Signal Processing Group at Technische Universität Darmstadt (Germany), where I worked on developing robust methods for tracking wireless terminals in realistic environments. I joined the diagnostic imaging group
within the Statistics Department at UCC in 2008. I am now a Senior Lecturer in Statistics at the School of Mathematical Sciences, a Funded Investigator with the SFI Insight Centre for Data Analytics, and Head of Discipline (Statistics). 

Research Support

2020-ongoing: Funded Investigator, SFI Insight (12/RC/2289-P2, support as per SFI model)
2019-20: co-PI, Insight industrial project (ca. €90k)
2014: UCC Strategic Research Fund (€3,960)
2011-17: collaborator, SFI (PI 11/1027, €1.2m, PI Finbarr O'Sullivan)

Research Interests

My research interests combine theoretic and applicative aspects of statistical learning, computational statistics, and data-driven estimation methods. My work primarily focuses on predictive modelling techniques, with specific focus on multi-omics for healthcare, and more generally methodologies for the analysis of wide data.

Recent contributions include the development of a 3D-coherent model of volumetric tumour activity derived from PET imaging data, and the definition of molecular uptake gradients, which are statistical summaries extracted from this model to create novel biomarkers for non-invasive assessment. This research aims at creating opportunities to improve tumour characterization and patient prognosis, and stems from clinical collaborations in Ireland and the USA.

Other past and current research projects include the development of machine learning methodologies for non-life insurance modelling, and forecasting models for granular fintech data. I also enjoy collaborations in the field of renewable energies.

Software:

To install a package, run these instructions within R (e.g. for package mia):
library(devtools)
install_github("ericwol/mia") 
library(mia)

Research Grants

 ProjectFunding
Body
Start DateEnd DateAward
SchoolUCC Strategic Research Fund01-SEP-1431-AUG-15€3,960.00

Publications

Book Chapters

 YearPublication
(2020)'PET beyond pictures'
E. Wolsztynski and J.F. Eary (2020) 'PET beyond pictures' In: Amir H. Khandani (eds). PET/CT and PET/MR in Melanoma and Sarcoma. Cham: Springer.   [DOI] [Details]

Peer Reviewed Journals

 YearPublication
(2024)'Pre-operative prediction of BCR-free survival with mRNA variables in prostate cancer'
O’Donnell A, Cronin M, Moghaddam S, Wolsztynski E (2024) 'Pre-operative prediction of BCR-free survival with mRNA variables in prostate cancer'. Plos One, 19 (10)   [DOI] [Details]
(2024)'Radiomic study of antenatal prediction of severe placenta accreta spectrum from MR imaging'
Helena C Bartels, Eric Wolsztynski, Jim O'Doherty, David P Brophy, Roisin MacDermott, David Atallah, Souha Saliba, Nadine El Kassis, Malak Moubarak, Constance Young, Paul Downey, Jennifer Donnelly, Tony Geoghegan, Donal J Brennan, Kathleen M Curran (2024) 'Radiomic study of antenatal prediction of severe placenta accreta spectrum from MR imaging'. British Journal of Radiology, [DOI] [Details]
(2023)'Radiomics-based prediction of FIGO grade for placenta accreta spectrum'
Helena C Bartels; Jim O'Doherty; Eric Wolsztynski; David P Brophy; Roisin MacDermott; David Atallah; Souha Saliba; Constance Young; Paul Downey; Jennifer Donnelly; Tony Geoghegan; Donal J Brennan; Kathleen M Curran (2023) 'Radiomics-based prediction of FIGO grade for placenta accreta spectrum'. European Radiology Experimental, 7 (1)   [Details]
(2023)'Improving the Post-Operative Prediction of BCR-Free Survival Time with mRNA Variables and Machine Learning'
O'Donnell, A.; Wolsztynski, E.; Cronin, M.; Moghaddam, S. (2023) 'Improving the Post-Operative Prediction of BCR-Free Survival Time with mRNA Variables and Machine Learning'. Cancers, 15 (4)   [DOI] [Details]
(2022)'Patient-adaptive Population-based Modeling of Arterial Input Functions'
Zhaoyan Xiu, Mark Muzi, Jian Huang, and Eric Wolsztynski (2022) 'Patient-adaptive Population-based Modeling of Arterial Input Functions'. IEEE Transactions On Medical Imaging, 42 (1):132-147   [DOI] [Details]
(2022)'Spatially coherent modeling of 3D FDG-PET data for assessment of intratumoral heterogeneity and uptake gradients'
Wolsztynski, Eric; O’Sullivan, Finbarr; Eary, Janet F. (2022) 'Spatially coherent modeling of 3D FDG-PET data for assessment of intratumoral heterogeneity and uptake gradients'. Journal Of Medical Imaging, 9 (4):1-20   [DOI] [Full Text] [Details]
(2021)'Public Perception of Offshore Wind in Ireland'
Cronin, Yvonne; Cummins, Valerie; Wolsztynski, Eric; (2021) 'Public Perception of Offshore Wind in Ireland'. Marine Policy, 134 [DOI] [Full Text] [Details]
(2020)'Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial'
Muzi, Mark; Wolsztynski, Eric; Fink, James R.; O’Sullivan, Janet N.; O’Sullivan, Finbarr; Krohn, Kenneth A.; Mankoff, David A. (2020) 'Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial'. Tomography (Ann Arbor, Mich.), 6 (1):14-22 [DOI] [Full Text] [Details]
(2019)'Combining Structural and Textural Assessments of Volumetric FDG-PET Uptake in NSCLC'
Wolsztynski, E; O'Sullivan, J; Hughes, NM; Mou, T; Murphy, P; O'Sullivan, F; O'Regan, K (2019) 'Combining Structural and Textural Assessments of Volumetric FDG-PET Uptake in NSCLC'. IEEE Transactions on Radiation and Plasma Medical Sciences, 3 :421-433   [DOI] [Details]
(2018)'Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma'
Wolsztynski E;O'Sullivan F;Keyes E;O'Sullivan J;Eary JF; (2018) 'Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma'. Journal Of Medical Imaging, 5 (2)   [DOI] [Details]
(2018)'Tumor heterogeneity measurement using [¹⁸F] FDG PET/CT shows prognostic value in patients with non-small cell lung cancer'
Nicola Marie Hughes; Tian Mou; Kevin N O'Regan; Peter Murphy; Janet N O'Sullivan; Eric Wolsztynski; Jian Huang; Marcus Kennedy; Janet F Eary; Finbarr O'Sullivan (2018) 'Tumor heterogeneity measurement using [¹⁸F] FDG PET/CT shows prognostic value in patients with non-small cell lung cancer'. European Journal of Hybrid Imaging,   [Details]
(2017)'Statistical assessment of treatment response in a cancer patient based on pre-therapy and post-therapy FDG-PET scans'
Wolsztynski, Eric; O'Sullivan, Finbarr; O'Sullivan, Janet; Eary, J. F. (2017) 'Statistical assessment of treatment response in a cancer patient based on pre-therapy and post-therapy FDG-PET scans'. Statistics In Medicine, 36 :1172-1200   [DOI] [Full Text] [Details]
(2012)'Kinetic Analysis of Dynamic Positron Emission Tomography Data using Open-Source Image Processing and Statistical Inference Tools'
Hawe D, Hernández Fernández FR, O'Suilleabháin L, Huang J, Wolsztynski E, O'Sullivan F (2012) 'Kinetic Analysis of Dynamic Positron Emission Tomography Data using Open-Source Image Processing and Statistical Inference Tools'. Wiley interdisciplinary reviews. Computational statistics, 4 (3):316-322   [DOI] [Details]
(2011)'A Statistical Modeling Approach to the Analysis of Spatial Patterns of FDG-PET Uptake in Human Sarcoma'
O’Sullivan F, Wolsztynski E, O’Sullivan J, Richards T, Conrad E, Eary JF (2011) 'A Statistical Modeling Approach to the Analysis of Spatial Patterns of FDG-PET Uptake in Human Sarcoma'. IEEE Transactions On Medical Imaging, 30 (12):2059-2071   [DOI] [Details]
(2009)'Robust Tracking and Geolocation for Wireless Networks in NLOS Environments'
Hammes, U; Wolsztynski, E; Zoubir, EM; (2009) 'Robust Tracking and Geolocation for Wireless Networks in NLOS Environments'. IEEE Journal of Selected Topics in Signal Processing, 3 (5):889-901   [DOI] [Details]
(2008)'Transformation-Based Robust Semi-parametric Estimation'
U. Hammes, E. Wolsztynski and A.M. Zoubir; (2008) 'Transformation-Based Robust Semi-parametric Estimation'. IEEE Signal Processing Letters, 15 :845-848   [DOI] [Details]
(2005)'Minimum-entropy estimation in semi-parametric models'
E. Wolsztynski, E. Thierry and L. Pronzato; (2005) 'Minimum-entropy estimation in semi-parametric models'. Signal Processing, 85 (5):937-949   [DOI] [Details]

Conference Publications

 YearPublication
(2022)European Association for Cancer Research Cancer Genomics Research Meeting
O'Donnell, Autumn; Moghaddam, Shirin; Cronin, Michael; Wolsztynski, Eric (2022) Potential of mRNA Variables in Prediction of Poor Prognosis Prostate Cancer European Association for Cancer Research Cancer Genomics Research Meeting Oxford, Uk, , 05-JUL-22 - 07-JUL-22   [Full Text] [Details]
(2022)ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics
O'Donnell, Autumn; Moghaddam, Shirin; Cronin, Michael; Wolsztynski, Eric (2022) Machine Learning Methodologies for Modelling of Time-to-event Endpoints in Prostate Cancer ISCB 2022 - 43rd Annual Conference of the International Society for Clinical Biostatistics Newcastle, UK, , 21-AUG-22 - 25-AUG-22   [Full Text] [Details]
(2022)Conference of Applied Statistics in Ireland
O'Donnell, Autumn; Moghaddam, Shirin; Cronin, Michael; Wolsztynski, Eric (2022) Prognostic Modelling Of Time-To-Event Endpoints In Prostate Cancer Conference of Applied Statistics in Ireland Cork, Ireland, , 16-MAY-22 - 18-MAY-22   [Full Text] [Details]
(2022)Irish Association for Cancer Research Early Career Researcher Symposium
O'Donnell, Autumn; Moghaddam, Shirin; Cronin, Michael; Wolsztynski, Eric (2022) Predicting Recurrence-Free Survival in Prostate Cancer Following Surgical Intervention Irish Association for Cancer Research Early Career Researcher Symposium Cork, Ireland, , 30-MAR-22 - 01-APR-22   [Full Text] [Details]
(2021)Conference of Applied Statistics in Ireland
T. Israni, E. Wolsztynski, L. Daly (2021) Improving risk characterisation for Non-life Insurance Premium Pricing Conference of Applied Statistics in Ireland [Details]
(2021)IEEE International Symposium on Biomedical Imaging
J. Bian, K. O’Regan, E. Wolsztynski (2021) Identifying Radiomic Seed Features For Patient Outcome Modelling IEEE International Symposium on Biomedical Imaging [Details]
(2019)IEEE NSS-MIC Workshop on Emergence and perspectives of artificial intelligence (AI) methods in radiation-based imaging sciences
Eric Wolsztynski (2019) Statistical exploration of relationships between routine and agnostic features towards interpretable risk characterization IEEE NSS-MIC Workshop on Emergence and perspectives of artificial intelligence (AI) methods in radiation-based imaging sciences Manchester, , 26-OCT-19 - 02-NOV-19   [Details]
(2018)Royal Statistics Society International Conference
Xiu Z, Huang J, O’Sullivan J, Wolsztynski E, Dave M, O'Sullivan F (2018) Mixture Modelling for AIF Extraction from Dynamic PET Studies Royal Statistics Society International Conference [Details]
(2018)Society of Nuclear Medicine and Molecular Imaging Annual Meeting
E. Wolsztynski, F. O'Sullivan, J. O'Sullivan, J. Jiang, J. F. Eary (2018) On the complementarity of structural and radiomic features for FDG-PET-based prognosis in sarcoma Society of Nuclear Medicine and Molecular Imaging Annual Meeting [Details]
(2018)Conference of Applied Statistics in Ireland
Eric Wolsztynski, Aidan Marnane, Janet O’Sullivan, Nicola Hughes, Tian Mou, Peter Murphy, Finbarr O’Sullivan and Kevin O’Regan (2018) Prognostic feature selection from complementary FDG-PET quantitation analyses in lung cancer using survival data Conference of Applied Statistics in Ireland [Details]
(2017)Society of Nuclear Medicine and Molecular Imaging Annual Meeting
E. Wolsztynski, T. Mou, K. O'Regan, J. O'Sullivan, N. Hughes, J. Huang, F. O'Sullivan (2017) Model and texture-based characterizations of intratumoral heterogeneity in FDG-PET imaging of lung cancer Society of Nuclear Medicine and Molecular Imaging Annual Meeting Denver, CO, [Details]
(2017)Conference on Applied Statistics in Ireland
Eric Wolsztynski, Tian Mou, Eimear Keyes, Janet O’Sullivan, Mark Muzi and Finbarr O’Sullivan (2017) Strategies for the spatial characterisation of solid masses from Positron Emission Tomography data Conference on Applied Statistics in Ireland Mullingar, Ireland, [Details]
(2017)American Statistical Association Joint Statistical Meeting
Eric Wolsztynski, Tian Mou, Mark Muzi and Finbarr O’Sullivan (2017) A study of some alternative statistical methods for the characterization of tumor risk based on PET imaging data American Statistical Association Joint Statistical Meeting Baltimore, MD, [Details]
(2017)Society of Nuclear Medicine and Molecular Imaging Annual Meeting
E. Wolsztynski, F. OSullivan, J. O'Sullivan, J.F. Eary (2017) Localized metabolic gradient as an independent prognostic variable from FDG-PET imaging of sarcoma Society of Nuclear Medicine and Molecular Imaging Annual Meeting Denver, CO, [Details]
(2017)Society of Nuclear Medicine and Molecular Imaging Annual Meeting
Mark Muzi, Finbarr O’Sullivan, Eric Wolsztynski, James Fink, Janet O’Sullivan and Kenneth Krohn (2017) Assessment of the prognostic value of spatial heterogeneity of hypoxia in FMISO PET images of glioma patients Society of Nuclear Medicine and Molecular Imaging Annual Meeting Denver, CO, [Details]
(2016)Royal Statistical Society Annual Meeting
Z. Xiu, J. Huang, J. O'Sullivan, E. Wolsztynski, M.D. Mankoff, F. O'Sullivan (2016) Calibrating a whole-body circulation model for image-based AIF extraction in the context of blood flow-metabolism mismatch assessment in LABCa patients Royal Statistical Society Annual Meeting [Details]
(2016)J Clin Oncol 34 (suppl; abstr 11564), American Society of Clinical Oncology Annual Meeting
Hughes N, Mou T, O’Regan K, Murphy P, O’Sullivan J, Wolsztynski E, Huang J, Kennedy M, Eary JF, O’Sullivan F (2016) Prognostic value of tumor heterogeneity evaluated by FDG-PET/CT imaging in lung cancer patients J Clin Oncol 34 (suppl; abstr 11564), American Society of Clinical Oncology Annual Meeting Chicago, IL, [Details]
(2016)Royal Statistical Society Annual Meeting
Eric Wolsztynski, Finbarr O’Sullivan and Janet O’Sullivan (2016) Spatial modelling of tumour features based on molecular imaging data Royal Statistical Society Annual Meeting Manchester, UK, [Details]
(2015)2015 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC)
Wolsztynski, E;O'Sullivan, J;Kennedy, MP;O'Regan, K;Eary, JF;O'Sullivan, F (2015) Structural Analysis of Solid Tumors Based on Regularized Tubular Modeling 2015 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) [Details]
(2015)Conference on Applied Statistics in Ireland
O’Donovan S, Maguire A, Conway D, Daly L and Wolsztynski E (2015) on parametric modelling of functionals of late-life population survival from insurance and pension data Conference on Applied Statistics in Ireland [Details]
(2015)Conference on Applied Statistics in Ireland
Murphy S, Wolsztynski E, Huang J, O’Sullivan J, Muzi M, Eary JF, Krohn K, O’Sullivan F (2015) Kinetic Analysis of 11C-Thymidine PET Imaging Studies of Malignant Brain Tumours Conference on Applied Statistics in Ireland [Details]
(2014)2014 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC)
Wolsztynski, E;O'Sullivan, J;Eary, JF;O'Sullivan, F (2014) Analysis of Spatial Patterns in Tumor Imaging Data: A Method for Assessment of Tubularity 2014 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) [Details]
(2014)J Nucl Med; 55 (Supplement 2)
O'Sullivan F, Muzi M, O'Sullivan J, Wolszynski E, Fink J, Eary JF and Krohn K (2014) Prognostic value of spatial heterogeneity in FMISO-PET images of hypoxia in brain cancer patients J Nucl Med; 55 (Supplement 2) St-Louis, MO, USA, [Details]
(2014)IEEE Nuclear Science Symposium and Medical Imaging Conference
Huang J, O’Sullivan F, Wolsztynski E, Muzi M and Krohn K (2014) A modified FBP algorithm for reconstruction of images when there are high activity regions in the field of view IEEE Nuclear Science Symposium and Medical Imaging Conference Seattle, WA, USA, [Details]
(2013)2013 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC)
Huang, J;Wolsztynski, E;Hawe, D;Kim, KM;Choudhury, KR;O'Sullivan, F (2013) A Cautionary Note on the use of Positivity Constrained Reconstructions for Quantification of Regional PET Imaging Data 2013 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) [Details]
(2013)J Nucl Med. 2013; 54 (Supplement 2):2135
Muzi M, Fink J, Rockhill J, O’Sullivan F, Wolsztynski E, Eary JF and Krohn K (2013) Parametric image analysis of FLT data shows spatial differences between transport and proliferation J Nucl Med. 2013; 54 (Supplement 2):2135 Vancouver, BC, Canada, [Details]
(2013)J Nucl Med. 2013; 54 (Supplement 2)
Wolsztynski E, O'Sullivan F, O'Sullivan J, Conrad E, Eary JF (2013) Cluster-based evaluation of change in static FDG-PET uptake information for therapeutic response quantitation J Nucl Med. 2013; 54 (Supplement 2) Vancouver, BC, Canada, [Details]
(2013)Conference on Applied Statistics in Ireland
Brick E, Harrison P, Sutton G, Cronin M and Wolsztynski E (2013) Clustering of fishing vessel speeds using Vessel Monitoring System data Conference on Applied Statistics in Ireland Clane, Co. Kildare, Ireland, [Details]
(2013)Conference on Applied Statistics in Ireland
Wolsztynski E, Brick E, O’Sullivan F and Eary JF (2013) Clustering PET volumes of interest for the analysis of driving metabolic characteristics Conference on Applied Statistics in Ireland Clane, Co. Kildare, Ireland, [Details]
(2013)Society of Nuclear Medicine and Molecular Imaging Annual Meeting
O'Sullivan F, Muzi M, Wolsztynski E, Fink J, Rockhill J, Eary J, Krohn K (2013) Quantitative metabolic imaging of kinetic parameters from dynamic PET [F-18]-Fluorothymidine (FLT) data with application to studies in brain cancer patients Society of Nuclear Medicine and Molecular Imaging Annual Meeting Vancouver, BC, Canada, [Details]
(2013)Society of Nuclear Medicine and Molecular Imaging Annual Meeting
O'Sullivan F, Huang J, Muzi M, Wolsztynski E, O’Sullivan J, Fink J, Rockhill J, Eary J, Krohn K (2013) Validation of an image derived blood time course extraction method for quantitation of dynamic PET [F-18]-Fluorothymidine (FLT) studies in brain cancer patients Society of Nuclear Medicine and Molecular Imaging Annual Meeting Vancouver, BC, Canada, [Details]
(2012)2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC)
Wolsztynski, E;O'Sullivan, F;Roy, S;O'Sullivan, J;Eary, JF (2012) An Examination of the Effect of Registration Errors on FDG-PET Evaluation of Chemotherapy Response in Sarcoma 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC) , pp.2876-2880 [Details]
(2012)J Nucl Med. 2012; 53 (Supplement 1):1241
Kwee S, Narayanan M, Watanabe A, O'Suilleabhain L, Wolsztynski E, Wong L and O'Sullivan F (2012) Kinetic modeling of tissue 18F-fluorocholine PET uptake in the liver J Nucl Med. 2012; 53 (Supplement 1):1241 Miami, Florida, , 09-JUN-12 - 13-JUN-12 [Details]
(2011)J Nucl Med. 2011; 52 (Supplement 1):210
O'Sullivan F, Wolsztynski E, O'Sullivan J, Richards T, Conrad EU and Eary JF (2011) Refined analysis of spatial FDG-PET uptake patterns in human sarcoma improves the prognostic assessment of patient outcome J Nucl Med. 2011; 52 (Supplement 1):210 [Details]
(2011)2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC)
Fernandez, FH;Hawe, D;O'Suilleabhain, L;Wolsztynski, E;Huang, J;Muzi, M;O'Sullivan, F (2011) Kinetic Analysis of Dynamic F-18-FDG and O-15-H2O PET Studies by Parametric and Nonparametric Methods: A Statistical Analysis 2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) , pp.3823-3827 [Details]
(2011)J Nucl Med. 2011; 52 (Supplement 1):605
Wolsztynski E, O'Sullivan F, Eary JF, O'Sullivan J and Conrad EU (2011) Prognostic assessment of a novel statistical measure of therapeutic response in human sarcoma J Nucl Med. 2011; 52 (Supplement 1):605 [Details]
(2011)International Statistical Institute Annual Meeting, Dublin
O’Sullivan F, Wolsztynski E, O’Sullivan J, Richards T, Conrad E, Eary JF (2011) An Analysis of Spatial Patterns of PET-FDG Uptake in Human Sarcoma International Statistical Institute Annual Meeting, Dublin Dublin, Ireland, [Details]
(2011)Conference of Applied Statistics in Ireland (CASI)
Wolsztynski E, O'Sullivan F, Eary JF, O'Suilleabhain L and Kwee S (2011) Statistical evaluation of early response to chemotherapy with PET imaging data Conference of Applied Statistics in Ireland (CASI) Galway, Ireland, , 18-MAY-11 - 20-MAY-11 [Details]
(2011)Proceedings of the 58th World Statistics Congress
O’Sullivan, F. and Wolsztynski, E. and O’Sullivan, JN and Richards, T. and Conrad, EC and Eary, JF (2011) Statistical Analysis of Tubular Structures in PET Imaging Data of Human Sarcoma Proceedings of the 58th World Statistics Congress Dublin, Ireland, , 21-AUG-11 - 26-AUG-11 [Details]
(2010)Conference of Applied Statistics in Ireland (CASI)
O'Sullivan, F; Wolsztynski, E; Eary, JF (2010) A semi-automated segmentation procedure for PET imaging data of sarcoma tumours Conference of Applied Statistics in Ireland (CASI) Portrush, Northern Ireland, UK, , 16-MAY-10 - 18-MAY-10 [Details]
(2010)2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC)
Wolsztynski, E;O'Sullivan, F;Conrad, EU;O'Sullivan, J;Eary, JF (2010) A Novel Approach to the Assessment of Response to Chemotherapy in Sarcoma Imaged with PET-FDG 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC) , pp.2957-2962 [Details]
(2010)Conference of Applied Statistics in Ireland (CASI)
Wolsztynski, E; O'Sullivan, F; Eary, JF; (2010) A novel statistical method for non-invasive (PET-based) therapeutic assessment Conference of Applied Statistics in Ireland (CASI) Portrush, Northern Ireland, UK, , 16-MAY-10 - 18-MAY-10 [Details]
(2010)Conference of Applied Statistics in Ireland (CASI)
Cronin, F; Wolsztynski, E; Eary, JF; O'Sullivan, F; (2010) Use of AMIDE and R for Statistical Analysis of Medical Imaging Data: An Illustration with an O15 Labelled H2O PET Study in Human Sarcoma Conference of Applied Statistics in Ireland (CASI) Portrush, Northern Ireland, UK, , 16-MAY-10 - 18-MAY-10 [Details]
(2010)IEEE Nuclear Science Symposium and Medical Imaging Conference
F. O'Sullivan, E. Wolsztynski, J. O'Sullivan, E.U. Conrad and J.F. Eary ; (2010) An Automated Approach to Tumor ROI Definition for Routine Implementation of Spatial Heterogeneity Analysis in PET-FDG Studies of Sarcoma IEEE Nuclear Science Symposium and Medical Imaging Conference Knoxville, Tennessee, USA, , 30-OCT-10 - 06-NOV-10 [Details]
(2009)J Nucl Med. 2009; 50 (Supplement 2):178
F. O'Sullivan, J.F. Eary, S. Roy, E. Wolsztynski, J. O'Sullivan, E. Conrad and K.A. Krohn; (2009) An Examination of a Threshold-volume Characteristic for Heterogeneity Assessment in Human Sarcomas Imaged with FDG-PET J Nucl Med. 2009; 50 (Supplement 2):178 [Details]
(2008)European Signal Processing Conference (EUSIPCO)
U. Hammes, E. Wolsztynski and A.M. Zoubir; (2008) Semi-parametric geolocation estimation in NLOS environments European Signal Processing Conference (EUSIPCO) Lausanne, Switzerland, , 25-AUG-08 - 29-AUG-08   [Full Text] [Details]
(2006)IEEE International Conference on Image Processing ICIP
S. Boltz, E. Wolsztynski, E. Debreuve, E. Thierry, M. Barlaud and L. Pronzato; (2006) A minimum-entropy procedure for robust motion estimation IEEE International Conference on Image Processing ICIP Atlanta, USA, , 08-OCT-06 - 11-OCT-06 , pp.1249-1252   [DOI] [Details]
(2005)XXXVIIèmes Journées de Statistique
E. Wolsztynski, E. Thierry and L. Pronzato; (2005) Estimation semi-paramétrique par minimum d'entropie pour des observations multivariées . In: JFdS eds. XXXVIIèmes Journées de Statistique Pau, France, , 06-JUN-05 - 10-JUN-05 [Details]
(2005)GRETSI
E. Wolsztynski, E. Thierry and L. Pronzato; (2005) Estimation semi-paramétrique robuste par minimisation de l'entropie des résidus, application en traitement d'images GRETSI Louvain-la-Neuve, Belgium, , 06-SEP-05 - 09-SEP-05 , pp.149-152   [Details]
(2005)XI International Conference on Applied Stochastic Models and Data Analysis
E. Wolsztynski, E. Thierry and L. Pronzato; (2005) Minimum entropy estimators in semi parametric regression models XI International Conference on Applied Stochastic Models and Data Analysis Brest, France, , 17-MAY-05 - 20-MAY-05 , pp.882-889 [Details]
(2004)7th International Workshop on Model-Oriented Design and Analysis
L. Pronzato, E. Thierry and E. Wolsztynski; (2004) Minimum entropy estimation in semi-parametric models: a candidate for adaptive estimation? . In: Di Bucchianico, Läuter, Wynn (Eds.), Physica-Verlag Heidelberg eds. 7th International Workshop on Model-Oriented Design and Analysis Heeze, Netherlands, , 14-JUN-04 - 18-JUN-04 , pp.125-132   [Details]
(2004)XXXVIe Journées de Statistique
E. Wolsztynski, E. Thierry and L. Pronzato; (2004) Estimation semiparamétrique adaptative par minimum d'entropie . In: JFdS eds. XXXVIe Journées de Statistique Montpellier, France, , 24-MAY-04 - 28-MAY-04   [Details]
(2004)IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
E. Wolsztynski, E. Thierry and L. Pronzato; (2004) Minimum entropy estimation in semi parametric models IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Montreal, Canada, , 17-MAY-04 - 21-MAY-04 , pp.1045-1048   [DOI] [Details]
(2003)XXXVe Journees de Statistique
E. Wolsztynski, E. Thierry and L. Pronzato; (2003) Une approche non paramétrique pour l'optimisation d'essais cliniques . In: JFdS eds. XXXVe Journees de Statistique Lyon, France, , pp.891-894 [Details]

Published Reports

 YearPublication
(2006)Critère d'entropie pour l'estimation semi-paramétrique.
Wolsztynski, E.; (2006) Critère d'entropie pour l'estimation semi-paramétrique. Universite de Nice Sophia Antipolis, Universite de Nice Sophia Antipolis PhD theses.   [Details]
(2004)Consistency of a Minimum-Entropy Estimator of Location.
Wolsztynski, E., Thierry, E. and Pronzato, L.; (2004) Consistency of a Minimum-Entropy Estimator of Location. Universite de Nice Sophia Antipolis, Projet TOpMODEL, I3S Laboratory, UNSA.   [Details]
(2004)Minimum-Entropy Estimation in Semi-Parametric Models.
Wolsztynski, E., Thierry, E. and Pronzato, L.; (2004) Minimum-Entropy Estimation in Semi-Parametric Models. Universite de Nice Sophia Antipolis, Projet TOpMODEL, I3S Laboratory, UNSA.   [Details]

Professional Activities

Committees

 CommitteeFunctionFrom / To
Library member2016 /
APCD member2016 /
Research Committee, School of Mathematical Sciences Chair2012 / 2016
Research Committee, School of Mathematical Sciences Member2011 /
SEFS Research Committee Member2011 / 2016

Conference Contributions

 YearPublication
(2019)GDR Mascot Num,
Eric Wolsztynski (2019) Tumour characterization from Positron Emission Tomography imaging data. [Invited Oral Presentation], GDR Mascot Num, Paris, France , 18-MAR-19 - 20-MAR-19. [Details]
(2017)Statistical Methods in Imaging (American Statistical Association),
Eric Wolsztynski and Finbarr O’Sullivan (2017) Statistical Evaluation of Heterogeneity and Texture Features in 3-D PET Imaging of Solid Tumor Masses. [Invited Oral Presentation], Statistical Methods in Imaging (American Statistical Association), Pittsburgh, PA . [Details]
(2015)Evolve,
Hernandez Fernandez F, et al (2015) Kinetic analysis of dynamic 11C-verapamil PET study: compartmental vs adaptive mixture models. [Poster Presentation], Evolve, Dublin, Ireland . [Details]
(2015)Evolve,
O’Sullivan F, Wolsztynski E, Mou T, O’Sullivan J, Eary JF, Kennedy MP, O’Regan K (2015) Assessment of intratumoral heterogeneity with 18F-FDG PET/CT. [Poster Presentation], Evolve, Dublin, Ireland . [Details]
(2015)Evolve,
Sheerin A, Wolsztynski E, Fink J, Richards T.L., Muzi M, Krohn K (2015) Methods for analysis of ASL and BOLD (MR) imaging of hypoxia in brain tumors. [Poster Presentation], Evolve, Dublin, Ireland . [Details]

Professional Associations

 AssociationFunctionFrom / To
Irish Statistical Association Member/
American Statistical Association member/
Royal Statistical Society member/

Employment

 EmployerPositionFrom / To
UCC contract researcher01-SEP-08 / 31-OCT-11
Universite de Nice Sophia-Antipolis, France contract researcher and assistant lecturer01-SEP-06 / 31-AUG-07
Technische Universitat Darmstadt, Germany research associate01-SEP-07 / 31-AUG-08
UCC lecturer01-OCT-11 /

Education

 YearInstitutionQualificationSubject
2006Université de Nice - Sophia antipolis Ph.D.Statistical Signal and Image Processing
2002Université de Nice - Sophia Antipolis Master of Engineering ScienceStatistical Signal Processing (French Master)
1999Université de Nice - Sophia Antipolis BSCMathematics and Computer Science (French Licence)

Languages

 LanguageReadingWritingSpeaking
English
French

Other Activities

 Description

Completed Collaborative Institutional Trainig Initiative (CITI) basic courses (Oct 2010)

- Health Information Privacy and Security (HIPS)
- Human Research
- Biomedical Research
- Biomedical and Biological Responsible Conduct of Research
- Humanities Responsible Conduct of Research



Invited talks and seminars

"Tumour characterization from Positron Emission Tomography imaging data", Eric Wolsztynski. CNRS MASCOT-NUM Workshop, Paris, France, 19 March 2019

"Statistical Evaluation of Heterogeneity and Texture Features in 3-D PET Imaging of Solid Tumor Masses", Eric Wolsztynski and Finbarr O’Sullivan. Statistical Methods in Imaging (American Statistical Association), 2017

"Tracking a Wireless Mobile Terminal in Non-Line-Of-Sight Conditions (or Semiparametric Tracking by Adaptive Kalman-like Filtering)", Eric Wolsztynski, School of Mathematical Sciences, University College Cork, Ireland, 7 December 2009

"Application of Semi-Parametric Estimators to Robust Signal and Image Processing", Eric Wolsztynski, School of Mathematical Sciences, University College Cork, Ireland, 10 December 2008

"Minimum entropy estimation in the presence of unknown noise", Eric Wolsztynski, Technische Universitat Darmstadt, Germany, 13 February 2007

"Minimum-Entropy Semiparametric Estimation", Eric Wolsztynski, School of Mathematics, Cardiff University, Wales, UK, 6 December 2006

"Critère(s) d'entropie pour l'estimation de paramètres en présence de bruit inconnu", Eric Wolsztynski, séminaire doctorants ADSTIC, EDSTIC, Laboratoire I3S, 13 September 2006

"Critère(s) d'entropie pour l'estimation de paramètres", Eric Wolsztynski, Laboratoire CREATIS, Lyon, France, 27 January 2006

"Entropy : estimation of and estimation with", talk given conjonctly with Vippal Savani at the workshop on "W-Optimum Designs and Related Statistical Issues" (Tribute to Prof Henry Wynn), Juan-les-Pins, France, 29 May 2005

"Estimation semi-parametrique par minimisation de l'entropie des residus, application en traitement d'images", Eric Wolsztynski, Premieres Rencontres des Jeuens Statisticiens, Aussois, France, 29 Aout 2005

"Estimation de parametres par minimisation d'entropie", Eric Wolsztynski, CNRS workshop on "Identification", Paris, France, 3 February 2005












Teaching Activities

Teaching Interests



Recent Postgraduates

 Graduation YearStudent NameInstitutionDegree TypeThesis Title
2018Eimear Keyes University College CorkMaster of ScienceA Comparison of Feature Selection Methods in Sarcoma
2017Rahul Sharma University College CorkMaster of ScienceMACHINE LEARNING TECHNIQUES FOR SELECTION OF PROGNOSTIC FEATURES DERIVED FROM PET IMAGING
2017Divya Srivastava University College CorkMaster of ScienceSELECTION OF PET PROGNOSTIC FEATURES USING MACHINE LEARNING TECHNIQUES
2015Sarah O'Donovan UCCMaster of ScienceAn analysis of parametric late-life modelling
2015Anthony Sheerin University College CorkMaster of ScienceA Relative Measure of the Coherence between ASL and BOLD MRI Signals and the information it provides about Tumor Hypoxia
2014Emily Brick UCCMScClustering of Fishing Vessel Speeds using Vessel Monitoring System Data
2014Anthony Maguire UCCMScUsing standard survival function estimators for the study of late-life mortality
2009Etienne Misat French GovernmentMScRobust Trend Analysis for Time Series Forecasting
2009Thomas Le Guen French GovernmentMScRobust Estimation Techniques for Stationary Time Series Analysis With Extension to GARCH Models

Contact details

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School of Mathematical Sciences

Eolaíochtaí Matamaiticiúla

Room 1-57, First Floor floor, T12 XF62

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