An Active Testing Model for Tracking Roads in Satellite Images. - Donald Geman; Bruno Jedynak (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Image indexing & retrieval using intermediate features. - Mohamad Obeid; Bruno Jedynak; Mohamed Daoudi (ACM Multimedia, 2001)

Model-based classification trees. - Donald Geman; Bruno Jedynak (IEEE Trans. Inf. Theory, 2001)

Maximum Entropy Models for Skin Detection. - Bruno Jedynak; Huicheng Zheng; Mohamed Daoudi; Didier Barret (ICVGIP, 2002)

Statistical Models for Skin Detection. - Bruno Jedynak; Huicheng Zheng; Mohamed Daoudi (CVPR Workshops, 2003)

Maximum Entropy Models for Skin Detection. - Bruno Jedynak; Huicheng Zheng; Mohamed Daoudi (EMMCVPR, 2003)

From Maximum Entropy to Belief Propagation: An application to Skin Detection. - Huicheng Zheng; Mohamed Daoudi; Bruno Jedynak (BMVC, 2004)

Automatic landmarking of magnetic resonance brain images. - Camille Izard; Bruno M. Jedynak; Craig E. L. Stark (Image Processing, 2005)

Skin detection using pairwise models. - Bruno Jedynak; Huicheng Zheng; Mohamed Daoudi (Image Vis. Comput., 2005)

Maximum Likelihood Set for Estimating a Probability Mass Function. - Bruno Jedynak; Sanjeev Khudanpur (Neural Comput., 2005)

Bayesian registration for anatomical landmark detection. - Camille Izard; Bruno Jedynak (ISBI, 2006)

Spline-Based Probabilistic Model for Anatomical Landmark Detection. - Camille Izard; Bruno Jedynak; Craig E. L. Stark (MICCAI (1), 2006)

Finding a Needle in a Haystack. - Bruno Jedynak; Damianos G. Karakos (CISS, 2007)

Where Have All the Interactions Gone? Estimating the Coverage of Two-Hybrid Protein Interaction Maps. - Hailiang Huang; Bruno Jedynak; Joel S. Bader (PLoS Comput. Biol., 2007)

Statistical deformable model applied to anatomical landmark detection. - Camille Izard; Bruno Jedynak (ISBI, 2008)

Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex. - N. Penumetcha; Bruno Jedynak; M. Hosakere; Elvan Ceyhan; Kelly N. Botteron; J. Tilak Ratnanather (Comput. Medical Imaging Graph., 2008)

Template Registration with Missing Parts: Application to the Segmentation of M. Tuberculosis Infected Lungs. - Camille Vidal; Joshua Hewitt; Stephanie Davis; Laurent Younes; Sanjay Jain 002; Bruno Jedynak (ISBI, 2009)

Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models. - Camille Vidal; Bruno Jedynak (Int. J. Comput. Vis., 2010)

Active Testing for Face Detection and Localization. - Raphael Sznitman; Bruno Jedynak (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Incorporating user input in template-based segmentation. - Camille Vidal; Dale Beggs; Laurent Younes; Sanjay Jain 002; Bruno Jedynak (ISBI, 2011)

Unified Detection and Tracking in Retinal Microsurgery. - Raphael Sznitman; Anasuya Basu; Rogério Richa; Jim Handa; Peter Gehlbach; Russell H. Taylor; Bruno Jedynak; Gregory D. Hager (MICCAI (1), 2011)

Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting. - Peter I. Frazier; Bruno Jedynak; Li Chen (WSC, 2012)

Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss. - Bruno Jedynak; Peter I. Frazier; Raphael Sznitman (J. Appl. Probab., 2012)

A computational neurodegenerative disease progression score: Method and results with the Alzheimer's disease neuroimaging initiative cohort. - Bruno M. Jedynak; Andrew Lang; Bo Liu; Elyse Katz; Yanwei Zhang; Bradley T. Wyman; David Raunig; C. Pierre Jedynak; Brian Caffo; Jerry L. Prince (NeuroImage, 2012)

An Optimal Policy for Target Localization with Application to Electron Microscopy. - Raphael Sznitman; Aurélien Lucchi; Peter I. Frazier; Bruno Jedynak; Pascal Fua (ICML (1), 2013)

Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters. - John A. Bogovic; Bruno M. Jedynak; Rachel Rigg; Annie Du; Bennett A. Landman; Jerry L. Prince; Sarah H. Ying (NeuroImage, 2013)

Unified Detection and Tracking of Instruments during Retinal Microsurgery. - Raphael Sznitman; Rogério Richa; Russell H. Taylor; Bruno Jedynak; Gregory D. Hager (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Twenty Questions for Localizing Multiple Objects by Counting: Bayes Optimal Policies for Entropy Loss. - Weidong Han 004; Peter I. Frazier; Bruno M. Jedynak (CoRR, 2014)

Autonomous on-board Near Earth Object detection. - Purnima Rajan; Philippe Burlina; M. Chen; D. Edell; Bruno Jedynak; N. Mehta; Ayushi Sinha; Gregory D. Hager (AIPR, 2015)

Bayesian Multiple Target Localization. - Purnima Rajan; Weidong Han 004; Raphael Sznitman; Peter I. Frazier; Bruno Jedynak (ICML, 2015)

Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging. - Murat Bilgel; Bruno Jedynak; Dean F. Wong; Susan M. Resnick; Jerry L. Prince (IPMI, 2015)

NON-adaptive policies for 20 questions target localization. - Ehsan Variani; Kamel Lahouel; Avner Bar-Hen; Bruno Jedynak (ISIT, 2015)

Non-Adaptative Policies for 20 Questions Target Localization. - Ehsan Variani; Kamel Lahouel; Avner Bar-Hen; Bruno Jedynak (CoRR, 2015)

Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace. - Andrew Lang; Aaron Carass; Bruno M. Jedynak; Sharon D. Solomon; Peter A. Calabresi; Jerry L. Prince (ISBI, 2016)

Voxel based morphometry in optical coherence tomography: validation and core findings. - Bhavna Josephine Antony; Min Chen 006; Aaron Carass; Bruno M. Jedynak; Omar Al-Louzi; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction. - Sayed Mazdak Abulnaga; Zhen Yang 002; Aaron Carass; Kalyani Kansal; Bruno M. Jedynak; Chiadi U. Onyike; Sarah H. Ying; Jerry L. Prince (Computer-Aided Diagnosis, 2016)

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization. - Zhen Yang 002; Sayed Mazdak Abulnaga; Aaron Carass; Kalyani Kansal; Bruno M. Jedynak; Chiadi Onyike; Sarah H. Ying; Jerry L. Prince (Image Processing, 2016)

A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging. - Murat Bilgel; Jerry L. Prince; Dean F. Wong; Susan M. Resnick; Bruno M. Jedynak (NeuroImage, 2016)

Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. - Zhen Yang 002; Chuyang Ye; John A. Bogovic; Aaron Carass; Bruno M. Jedynak; Sarah H. Ying; Jerry L. Prince (NeuroImage, 2016)

Bayesian optimization for refining object proposals. - Anthony D. Rhodes; Jordan Witte; Bruno Jedynak; Melanie Mitchell (IPTA, 2017)

Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs. - Yufan He; Aaron Carass; Yeyi Yun; Can Zhao 001; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (FIFI/OMIA@MICCAI, 2017)

Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss. - Weidong Han 004; Purnima Rajan; Peter I. Frazier; Bruno M. Jedynak (IEEE Trans. Inf. Theory, 2017)

Gaussian Processes with Context-Supported Priors for Active Object Localization. - Anthony D. Rhodes; Jordan Witte; Melanie Mitchell; Bruno Jedynak (IJCNN, 2018)

Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks. - Yufan He; Aaron Carass; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (CoRR, 2018)

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. - 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; et al. (CoRR, 2018)

Intensity inhomogeneity correction of SD-OCT data using macular flatspace. - Andrew Lang; Aaron Carass; Bruno M. Jedynak; Sharon D. Solomon; Peter A. Calabresi; Jerry L. Prince (Medical Image Anal., 2018)

Optimal Adaptive Sampling for Boundary Estimation with Mobile Sensors. - Phillip Kearns; John Lipor; Bruno Jedynak (ACSSC, 2019)

Fully Convolutional Boundary Regression for Retina OCT Segmentation. - Yufan He; Aaron Carass; Yihao Liu 003; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (MICCAI (1), 2019)

Cox Processes for Counting by Detection. - Purnima Rajan; Yongming Ma; Bruno Jedynak (J. Math. Imaging Vis., 2019)

Segmenting retinal OCT images with inter-B-scan and longitudinal information. - Yufan He; Aaron Carass; Yihao Liu 003; Angeliki Filippatou; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Image Processing, 2020)

Learning Riemannian metric for disease progression modeling. - Samuel Gruffaz; Pierre-Emmanuel Poulet; Etienne Maheux; Bruno Jedynak; Stanley Durrleman (NeurIPS, 2021)

Structured layer surface segmentation for retina OCT using fully convolutional regression networks. - Yufan He; Aaron Carass; Yihao Liu 003; Bruno M. Jedynak; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince (Medical Image Anal., 2021)

Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. - Kamel Lahouel; Michael Wells; David Lovitz; Victor Rielly; Ethan Lew; Bruno Jedynak (CoRR, 2022)

Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. - Victor Rielly; Kamel Lahouel; Ethan Lew; Michael Wells; Vicky Haney; Bruno Jedynak (CoRR, 2023)

A Finite-Horizon Approach to Active Level Set Estimation. - Phillip Kearns; Bruno Jedynak; John Lipor (CoRR, 2023)

Predictive Powered Inference for Healthcare; Relating Optical Coherence Tomography Scans to Multiple Sclerosis Disease Progression. - Jacob Schultz; Jerry L. Prince; Bruno M. Jedynak (MLHC, 2024)

The Stochastic Occupation Kernel Method for System Identification. - Michael Wells; Kamel Lahouel; Bruno Jedynak (CoRR, 2024)

Learning nonparametric ordinary differential equations from noisy data. - Kamel Lahouel; Michael Wells; Victor Rielly; Ethan Lew; David Lovitz; Bruno M. Jedynak (J. Comput. Phys., 2024)

MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. - Victor Rielly; Kamel Lahouel; Ethan Lew; Nicholas Fisher; Vicky Haney; Michael Wells; Bruno M. Jedynak (Trans. Mach. Learn. Res., 2025)

ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces. - Victor Rielly; Kamel Lahouel; Chau Nguyen; Bruno Jedynak (CoRR, 2025)

The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations. - Michael Wells; Kamel Lahouel; Bruno Jedynak (CoRR, 2025)