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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, Bruno Jedynak:
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, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
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, Yongming Ma, Bruno Jedynak:
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, Jerry L. Prince:
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, Adrian V. Dalca, Samuel G. Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi:
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR abs/1811.07216 (2018) - 2017
- [j15]Weidong Han, Purnima Rajan, Peter I. Frazier, Bruno M. Jedynak:
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, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
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, Bruno M. Jedynak, Sarah H. Ying, Jerry L. Prince:
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. NeuroImage 127: 435-444 (2016) - [j13]Murat Bilgel, Jerry L. Prince, Dean F. Wong, Susan M. Resnick, Bruno M. Jedynak:
A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging. NeuroImage 134: 658-670 (2016) - [c23]Andrew Lang, Aaron Carass, Bruno M. Jedynak, Sharon D. Solomon, Peter A. Calabresi, Jerry L. Prince:
Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace. ISBI 2016: 197-200 - [c22]Bhavna Josephine Antony, Min Chen, Aaron Carass, Bruno M. Jedynak, Omar Al-Louzi, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
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, Zhen Yang, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi U. Onyike, Sarah H. Ying, Jerry L. Prince:
A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction. Computer-Aided Diagnosis 2016: 97852P - [c20]Zhen Yang, Sayed Mazdak Abulnaga, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi Onyike, Sarah H. Ying, Jerry L. Prince:
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, Bruno Jedynak, Dean F. Wong, Susan M. Resnick, Jerry L. Prince:
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, Rogério Richa, Russell H. Taylor, Bruno Jedynak, Gregory D. Hager:
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, C. Pierre Jedynak, Brian Caffo, Jerry L. Prince:
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, Sanjay Jain, Bruno Jedynak:
Incorporating user input in template-based segmentation. ISBI 2011: 1434-1437 - [c12]Raphael Sznitman, Anasuya Basu, Rogério Richa, Jim Handa, Peter Gehlbach, Russell H. Taylor, Bruno Jedynak, Gregory D. Hager:
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, Laurent Younes, Sanjay Jain, Bruno Jedynak:
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, Bruno Jedynak, Joel S. Bader:
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, Bruno Jedynak:
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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last updated on 2024-11-28 20:33 CET by the dblp team
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