Bruno Jedynak
applied mathematician
Facts
10 properties- Instance of
- human
- Date of birth
- 1965
- Occupation
- researcher
- Educated at
- University of Paris-Sud (?–1995)[3]
- Official website
- cis.jhu.edu[9]
- Doctoral advisor
- André Gagalowicz[4]
- Doctoral student
- Camille Izard, Raphael Sznitman (?–2011)[6][7]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Bruno Jedynak
en Bruno M. Jedynak
nl Bruno M Jedynak
🔖 Identifiers · 10
- ORCID iD
- 0000-0002-0824-5745
- VIAF cluster ID
- 191920007
- OpenAlex ID
- A5036011059as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- j/BrunoJedynak
- Google Knowledge Graph ID
- /g/11gb5bhz8k
- Google Scholar author ID
- jVoT6rkAAAAJ
- IEEE Xplore author ID
- 38550203600
- IdRef ID
- 136813623
- MR Author ID
- 678107
- Mathematics Genealogy Project ID
- 133002
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 10
A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging,
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease,
Bayesian Multiple Target Localization,
Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT,
Fully Convolutional Boundary Regression for Retina OCT Segmentation,
Structured layer surface segmentation for retina OCT using fully convolutional regression networks,
Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging,
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
+2 more
← Authored by 10
A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging,
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease,
Bayesian Multiple Target Localization,
Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT,
Fully Convolutional Boundary Regression for Retina OCT Segmentation,
Structured layer surface segmentation for retina OCT using fully convolutional regression networks,
Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging,
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
+2 more
Affiliated with 3
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Summary
Bruno Jedynak was born in 1965[1]. He worked as a researcher[2].
Body
Career and Affiliations
Doctoral students include Camille Izard[6] and Raphael Sznitman[7], a computer scientist[10].
FAQs
What did Bruno Jedynak do for work?
Bruno Jedynak worked as researcher[2].
Where did Bruno Jedynak go to school?
Bruno Jedynak was educated at University of Paris-Sud[3].