Bruno Jedynak

Orcid: 0000-0002-0824-5745

Affiliations:
  • Johns Hopkins University, USA


According to our database1, Bruno Jedynak authored at least 57 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning nonparametric ordinary differential equations from noisy data.
J. Comput. Phys., 2024

The Stochastic Occupation Kernel Method for System Identification.
CoRR, 2024

2023
A Finite-Horizon Approach to Active Level Set Estimation.
CoRR, 2023

Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions.
CoRR, 2023

2022
Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data.
CoRR, 2022

2021
Structured layer surface segmentation for retina OCT using fully convolutional regression networks.
Medical Image Anal., 2021

Learning Riemannian metric for disease progression modeling.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Segmenting retinal OCT images with inter-B-scan and longitudinal information.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019
Cox Processes for Counting by Detection.
J. Math. Imaging Vis., 2019

Fully Convolutional Boundary Regression for Retina OCT Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Optimal Adaptive Sampling for Boundary Estimation with Mobile Sensors.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Intensity inhomogeneity correction of SD-OCT data using macular flatspace.
Medical Image Anal., 2018

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018.
CoRR, 2018

Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks.
CoRR, 2018

Gaussian Processes with Context-Supported Priors for Active Object Localization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss.
IEEE Trans. Inf. Theory, 2017

Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Bayesian optimization for refining object proposals.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

2016
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.
NeuroImage, 2016

A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging.
NeuroImage, 2016

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Voxel based morphometry in optical coherence tomography: validation and core findings.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Non-Adaptative Policies for 20 Questions Target Localization.
CoRR, 2015

NON-adaptive policies for 20 questions target localization.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging.
Proceedings of the Information Processing in Medical Imaging, 2015

Bayesian Multiple Target Localization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Autonomous on-board Near Earth Object detection.
Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2014
Twenty Questions for Localizing Multiple Objects by Counting: Bayes Optimal Policies for Entropy Loss.
CoRR, 2014

2013
Unified Detection and Tracking of Instruments during Retinal Microsurgery.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters.
NeuroImage, 2013

An Optimal Policy for Target Localization with Application to Electron Microscopy.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort.
NeuroImage, 2012

Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss.
J. Appl. Probab., 2012

Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting.
Proceedings of the Winter Simulation Conference, 2012

2011
Unified Detection and Tracking in Retinal Microsurgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Incorporating user input in template-based segmentation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Active Testing for Face Detection and Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models.
Int. J. Comput. Vis., 2010

2009
Template Registration with Missing Parts: Application to the Segmentation of M. Tuberculosis Infected Lungs.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex.
Comput. Medical Imaging Graph., 2008

Statistical deformable model applied to anatomical landmark detection.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Where Have All the Interactions Gone? Estimating the Coverage of Two-Hybrid Protein Interaction Maps.
PLoS Comput. Biol., 2007

Finding a Needle in a Haystack.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
Spline-Based Probabilistic Model for Anatomical Landmark Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Bayesian registration for anatomical landmark detection.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Maximum Likelihood Set for Estimating a Probability Mass Function.
Neural Comput., 2005

Skin detection using pairwise models.
Image Vis. Comput., 2005

Automatic landmarking of magnetic resonance brain images.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
From Maximum Entropy to Belief Propagation: An application to Skin Detection.
Proceedings of the British Machine Vision Conference, 2004

2003
Maximum Entropy Models for Skin Detection.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Statistical Models for Skin Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002
Maximum Entropy Models for Skin Detection.
Proceedings of the ICVGIP 2002, 2002

2001
Model-based classification trees.
IEEE Trans. Inf. Theory, 2001

Image indexing & retrieval using intermediate features.
Proceedings of the 9th ACM International Conference on Multimedia 2001, Ottawa, Ontario, Canada, September 30, 2001

1996
An Active Testing Model for Tracking Roads in Satellite Images.
IEEE Trans. Pattern Anal. Mach. Intell., 1996


  Loading...