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Bruno Jedynak
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- affiliation: Johns Hopkins University, USA
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2020 – today
- 2024
- [j19]Kamel Lahouel, Michael Wells, Victor Rielly, Ethan Lew
, David Lovitz, Bruno M. Jedynak
Learning nonparametric ordinary differential equations from noisy data. J. Comput. Phys. 507: 112971 (2024) - [i10]Michael Wells, Kamel Lahouel, Bruno Jedynak:
The Stochastic Occupation Kernel Method for System Identification. CoRR abs/2406.15661 (2024) - 2023
- [i9]Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak:
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. CoRR abs/2306.10189 (2023) - [i8]Phillip Kearns, Bruno Jedynak, John Lipor:
A Finite-Horizon Approach to Active Level Set Estimation. CoRR abs/2310.11985 (2023) - 2022
- [i7]Kamel Lahouel, Michael Wells, David Lovitz, Victor Rielly, Ethan Lew
Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. CoRR abs/2206.15215 (2022) - 2021
- [j18]Yufan He, Aaron Carass, Yihao Liu, Bruno M. Jedynak
Structured layer surface segmentation for retina OCT using fully convolutional regression networks. Medical Image Anal. 68: 101856 (2021) - [c30]Samuel Gruffaz, Pierre-Emmanuel Poulet, Etienne Maheux, Bruno Jedynak, Stanley Durrleman:
Learning Riemannian metric for disease progression modeling. NeurIPS 2021: 23780-23792 - 2020
- [c29]Yufan He, Aaron Carass, Yihao Liu, Angeliki Filippatou, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Segmenting retinal OCT images with inter-B-scan and longitudinal information. Image Processing 2020: 113133C
2010 – 2019
- 2019
- [j17]Purnima Rajan
Cox Processes for Counting by Detection. J. Math. Imaging Vis. 61(3): 380-393 (2019) - [c28]Phillip Kearns, John Lipor, Bruno Jedynak:
Optimal Adaptive Sampling for Boundary Estimation with Mobile Sensors. ACSSC 2019: 1621-1625 - [c27]Yufan He, Aaron Carass, Yihao Liu, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Fully Convolutional Boundary Regression for Retina OCT Segmentation. MICCAI (1) 2019: 120-128 - 2018
- [j16]Andrew Lang, Aaron Carass, Bruno M. Jedynak, Sharon D. Solomon, Peter A. Calabresi
Intensity inhomogeneity correction of SD-OCT data using macular flatspace. Medical Image Anal. 43: 85-97 (2018) - [c26]Anthony D. Rhodes, Jordan Witte, Melanie Mitchell, Bruno Jedynak:
Gaussian Processes with Context-Supported Priors for Active Object Localization. IJCNN 2018: 1-10 - [i6]Yufan He, Aaron Carass, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks. CoRR abs/1803.05120 (2018) - [i5]Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR abs/1811.07216 (2018) - 2017
- [j15]Weidong Han
Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss. IEEE Trans. Inf. Theory 63(2): 915-933 (2017) - [c25]Anthony D. Rhodes, Jordan Witte, Bruno Jedynak, Melanie Mitchell:
Bayesian optimization for refining object proposals. IPTA 2017: 1-7 - [c24]Yufan He, Aaron Carass, Yeyi Yun, Can Zhao
Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs. FIFI/OMIA@MICCAI 2017: 202-209 - [i4]Anthony D. Rhodes, Jordan Witte, Melanie Mitchell, Bruno Jedynak:
Bayesian Optimization for Refining Object Proposals. CoRR abs/1703.08653 (2017) - 2016
- [j14]Zhen Yang, Chuyang Ye, John A. Bogovic, Aaron Carass
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. NeuroImage 127: 435-444 (2016) - [j13]Murat Bilgel
A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging. NeuroImage 134: 658-670 (2016) - [c23]Andrew Lang, Aaron Carass
Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace. ISBI 2016: 197-200 - [c22]Bhavna Josephine Antony
Voxel based morphometry in optical coherence tomography: validation and core findings. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880P - [c21]Sayed Mazdak Abulnaga
A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction. Computer-Aided Diagnosis 2016: 97852P - [c20]Zhen Yang, Sayed Mazdak Abulnaga
Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization. Image Processing 2016: 97840P - 2015
- [c19]Purnima Rajan, Philippe Burlina, M. Chen, D. Edell, Bruno Jedynak, N. Mehta, Ayushi Sinha, Gregory D. Hager:
Autonomous on-board Near Earth Object detection. AIPR 2015: 1-10 - [c18]Purnima Rajan, Weidong Han, Raphael Sznitman, Peter I. Frazier, Bruno Jedynak:
Bayesian Multiple Target Localization. ICML 2015: 1945-1953 - [c17]Murat Bilgel
Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging. IPMI 2015: 424-436 - [c16]Ehsan Variani, Kamel Lahouel, Avner Bar-Hen, Bruno Jedynak:
NON-adaptive policies for 20 questions target localization. ISIT 2015: 775-778 - [i3]Ehsan Variani, Kamel Lahouel, Avner Bar-Hen, Bruno Jedynak:
Non-Adaptative Policies for 20 Questions Target Localization. CoRR abs/1504.05996 (2015) - 2014
- [i2]Weidong Han, Peter I. Frazier, Bruno M. Jedynak:
Twenty Questions for Localizing Multiple Objects by Counting: Bayes Optimal Policies for Entropy Loss. CoRR abs/1407.4446 (2014) - 2013
- [j12]John A. Bogovic, Bruno M. Jedynak, Rachel Rigg, Annie Du, Bennett A. Landman, Jerry L. Prince, Sarah H. Ying:
Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters. NeuroImage 64: 616-629 (2013) - [j11]Raphael Sznitman
Unified Detection and Tracking of Instruments during Retinal Microsurgery. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1263-1273 (2013) - [c15]Raphael Sznitman, Aurélien Lucchi, Peter I. Frazier, Bruno Jedynak, Pascal Fua:
An Optimal Policy for Target Localization with Application to Electron Microscopy. ICML (1) 2013: 1-9 - 2012
- [j10]Bruno Jedynak, Peter I. Frazier, Raphael Sznitman:
Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss. J. Appl. Probab. 49(1): 114-136 (2012) - [j9]Bruno M. Jedynak, Andrew Lang, Bo Liu, Elyse Katz, Yanwei Zhang, Bradley T. Wyman, David Raunig
A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort. NeuroImage 63(3): 1478-1486 (2012) - [c14]Peter I. Frazier, Bruno Jedynak, Li Chen:
Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting. WSC 2012: 50:1-50:12 - 2011
- [c13]Camille Vidal, Dale Beggs, Laurent Younes
Incorporating user input in template-based segmentation. ISBI 2011: 1434-1437 - [c12]Raphael Sznitman
Unified Detection and Tracking in Retinal Microsurgery. MICCAI (1) 2011: 1-8 - 2010
- [j8]Camille Vidal, Bruno Jedynak:
Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models. Int. J. Comput. Vis. 88(2): 189-213 (2010) - [j7]Raphael Sznitman, Bruno Jedynak:
Active Testing for Face Detection and Localization. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1914-1920 (2010) - [i1]Raphael Sznitman, Bruno Jedynak:
Active Testing for Face Detection and Localization. CoRR abs/1003.5249 (2010)
2000 – 2009
- 2009
- [c11]Camille Vidal, Joshua Hewitt, Stephanie Davis
Template Registration with Missing Parts: Application to the Segmentation of M. Tuberculosis Infected Lungs. ISBI 2009: 718-721 - 2008
- [j6]N. Penumetcha, Bruno Jedynak, M. Hosakere, Elvan Ceyhan, Kelly N. Botteron, J. Tilak Ratnanather
Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex. Comput. Medical Imaging Graph. 32(1): 36-43 (2008) - [c10]Camille Izard, Bruno Jedynak:
Statistical deformable model applied to anatomical landmark detection. ISBI 2008: 444-447 - 2007
- [j5]Hailiang Huang
Where Have All the Interactions Gone? Estimating the Coverage of Two-Hybrid Protein Interaction Maps. PLoS Comput. Biol. 3(11) (2007) - [c9]Bruno Jedynak, Damianos G. Karakos:
Finding a Needle in a Haystack. CISS 2007: 318 - 2006
- [c8]Camille Izard, Bruno Jedynak:
Bayesian registration for anatomical landmark detection. ISBI 2006: 856-859 - [c7]Camille Izard, Bruno Jedynak, Craig E. L. Stark:
Spline-Based Probabilistic Model for Anatomical Landmark Detection. MICCAI (1) 2006: 849-856 - 2005
- [j4]Bruno Jedynak, Huicheng Zheng, Mohamed Daoudi
Skin detection using pairwise models. Image Vis. Comput. 23(13): 1122-1130 (2005) - [j3]Bruno Jedynak, Sanjeev Khudanpur:
Maximum Likelihood Set for Estimating a Probability Mass Function. Neural Comput. 17(7): 1508-1530 (2005) - [c6]Camille Izard, Bruno M. Jedynak, Craig E. L. Stark:
Automatic landmarking of magnetic resonance brain images. Image Processing 2005 - 2004
- [c5]Huicheng Zheng, Mohamed Daoudi
From Maximum Entropy to Belief Propagation: An application to Skin Detection. BMVC 2004: 1-10 - 2003
- [c4]Bruno Jedynak, Huicheng Zheng, Mohamed Daoudi
Statistical Models for Skin Detection. CVPR Workshops 2003: 92 - [c3]Bruno Jedynak, Huicheng Zheng, Mohamed Daoudi:
Maximum Entropy Models for Skin Detection. EMMCVPR 2003: 180-193 - 2002
- [c2]Bruno Jedynak, Huicheng Zheng, Mohamed Daoudi, Didier Barret:
Maximum Entropy Models for Skin Detection. ICVGIP 2002 - 2001
- [j2]Donald Geman, Bruno Jedynak:
Model-based classification trees. IEEE Trans. Inf. Theory 47(3): 1075-1082 (2001) - [c1]Mohamad Obeid, Bruno Jedynak, Mohamed Daoudi:
Image indexing & retrieval using intermediate features. ACM Multimedia 2001: 531-533
1990 – 1999
- 1996
- [j1]Donald Geman, Bruno Jedynak:
An Active Testing Model for Tracking Roads in Satellite Images. IEEE Trans. Pattern Anal. Mach. Intell. 18(1): 1-14 (1996)
Coauthor Index
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