Philippe Burlina

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 53

Top Venues

CoRR

Comput. Biol. Medicine

Neural Comput.

ACCV Workshops

Publications

Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao
PLeak: Prompt Leaking Attacks against Large Language Model Applications. CoRR (2024)
William Paul, Philip Mathew, Fady Alajaji, Philippe Burlina
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility. CoRR (2023)
Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. MICCAI (4) (2023)
Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina
Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV (2023)
Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN (2023)
Nathan Drenkow, Neil Fendley, Philippe Burlina
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. WACV (2022)
William Paul, Philippe Burlina
Robustness and Adaptation to Hidden Factors of Variation. CVPR Workshops (2022)
William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. Neural Comput. 34 (3) (2022)
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR (2022)
Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
Rényi Fair Information Bottleneck for Image Classification. CWIT (2022)
Haolin Yuan, Armin Hadzic, William Paul, Daniella Villegas de Flores, Philip Mathew, John N. Aucott, Yinzhi Cao, Philippe Burlina
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. CoRR (2022)
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) (2022)
Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
Renyi Fair Information Bottleneck for Image Classification. CoRR (2022)
Adam Gronowski, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
Achieving Utility, Fairness, and Compactness via Tunable Information Bottleneck Measures. CoRR (2022)
William Paul, Philippe Burlina
Robustness and Adaptation to Hidden Factors of Variation. CoRR (2022)
Max Lennon, Nathan Drenkow, Philippe Burlina
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? CoRR (2021)
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. Neural Comput. 33 (3) (2021)
Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz
Addressing Visual Search in Open and Closed Set Settings. CVPR Workshops (2021)
William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina
Defending Medical Image Diagnostics Against Privacy Attacks Using Generative Methods: Application to Retinal Diagnostics. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS (2021)
William Paul, Philippe Burlina
Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes. CoRR (2021)
William Paul, Yinzhi Cao, Miaomiao Zhang, Philippe Burlina
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods. CoRR (2021)
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Practical Blind Membership Inference Attack via Differential Comparisons. CoRR (2021)
Max Lennon, Nathan Drenkow, Philippe Burlina
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? ICCVW (2021)
Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
Least kth-Order and Rényi Generative Adversarial Networks. Neural Comput. 33 (9) (2021)
Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. CoRR (2020)
Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina
Rényi Generative Adversarial Networks. CoRR (2020)
Nathan Drenkow, Neil Fendley, Philippe Burlina
Random Projections for Adversarial Attack Detection. CoRR (2020)
William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina
RENATA: REpreseNtation And Training Alteration for Bias Mitigation. CoRR (2020)
Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz
Objectness-Guided Open Set Visual Search and Closed Set Detection. CoRR (2020)
Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow
Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. ECCV Workshops (1) (2020)
Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. CoRR (2020)
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
Unsupervised Semantic Attribute Discovery and Control in Generative Models. CoRR (2020)
Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
Deep embeddings for novelty detection in myopathy. Comput. Biol. Medicine 105 (2019)
Philippe Burlina, Neil Joshi, I-Jeng Wang
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. CVPR (2019)
Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda
Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. ISBI (2019)
Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
Deep learning based retinal OCT segmentation. Comput. Biol. Medicine 114 (2019)
Kapil D. Katyal, Katie M. Popek, Chris Paxton, Philippe Burlina, Gregory D. Hager
Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. ICRA (2019)
Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops (2018)
Edward W. Staley, Kapil D. Katyal, Philippe Burlina
DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders. IJCNN (2018)
Philippe Burlina, Neil Joshi, Neil M. Bressler
AI-based AMD Analysis: A Review of Recent Progress. ACCV Workshops (2018)
Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott
Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Kapil D. Katyal, Katie M. Popek, Chris Paxton, Joseph L. Moore, Kevin C. Wolfe, Philippe Burlina, Gregory D. Hager
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. CoRR (2018)
Valentina Bellemo, Philippe Burlina, Liu Yong, Tien Yin Wong, Daniel Shu Wei Ting
Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. ACCV Workshops (2018)
Philippe Burlina, Katia D. Pacheco, Neil Joshi, David E. Freund, Neil M. Bressler
Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. Comput. Biol. Medicine 82 (2017)
Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA (2017)
Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina
Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. ICMLA (2017)
Kapil D. Katyal, I-Jeng Wang, Philippe Burlina
Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. CVPR Workshops (2017)
Derek M. Rollend, Paul E. Rosendall, Seth Billings, Philippe Burlina, Kevin C. Wolfe, Kapil D. Katyal
Face Detection and Object Recognition for a Retinal Prosthesis. ACCV Workshops (1) (2016)
Philippe Burlina
MRCNN: A stateful Fast R-CNN. ICPR (2016)
Philippe Burlina, David E. Freund, Neil Joshi, Y. Wolfson, Neil M. Bressler
Detection of age-related macular degeneration via deep learning. ISBI (2016)
Seth Billings, Jemima Albayda, Philippe Burlina
Ultrasound image analysis for myopathy detection. ICPR (2016)
Albert K. Feeny, Mongkol Tadarati, David E. Freund, Neil M. Bressler, Philippe Burlina
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. Comput. Biol. Medicine 65 (2015)
Saurabh Vyas, Jon Meyerle, Philippe Burlina
Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography. Comput. Biol. Medicine 57 (2015)
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)
Saurabh Vyas, James S. Gammie, Philippe Burlina
Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography. CBMS (2014)
Saurabh Vyas, Jon Meyerle, Philippe Burlina
Cross validating hyperspectral with Ultrasound-based skin thickness estimation. WHISPERS (2014)
Saurabh Vyas, Amit Banerjee, Philippe Burlina
Machine learning methods for in vivo skin parameter estimation. CBMS (2013)
Saurabh Vyas, Ryan Mukherjee, Federico Sosa, Philippe Burlina
Endocardium segmentation in 3D Transesophageal Echocardiography. ISBI (2013)
Chad Sprouse, Ryan Mukherjee, Philippe Burlina
Mitral Valve Closure Prediction With 3-D Personalized Anatomical Models and Anisotropic Hyperelastic Tissue Assumptions. IEEE Trans. Biomed. Eng. 60 (11) (2013)
Nathan Drenkow, Philippe Burlina, I-Jeng Wang, Daniel DeMenthon, Craig Carmen
A practical test set bound for rank learning. MLSP (2013)
Saurabh Vyas, Amit Banerjee, Luis Garza, Sewon Kang, Philippe Burlina
Hyperspectral signature analysis of skin parameters. Medical Imaging: Computer-Aided Diagnosis (2013)
Ryan Mukherjee, Aurelio Pinheiro, James S. Gammie, David D. Yuh, Theodore Abraham, Elliot R. McVeigh, Philippe Burlina
Dense myocardial motion from 4D ultrasound: Comparative performance evaluation. ISBI (2012)
Philippe Burlina, Ryan Mukherjee, Chad Sprouse
A personalized mitral valve closure simulator. EMBC (2012)
Chad Sprouse, Ryan Mukherjee, Philippe Burlina
Valvular closure prediction using anisotropic and hyperelastic tissue models and individualized anatomy derived from RT3DE. EMBC (2012)
Ryan Mukherjee, Chad Sprouse, Theodore Abraham, Beatrice Hoffmann, Elliot R. McVeigh, David D. Yuh, Philippe Burlina
Myocardial motion computation in 4D ultrasound. ISBI (2011)
Chad Sprouse, Daniel DeMenthon, James S. Gammie, Philippe Burlina
Patient-specific modeling of stress/strain for surgical planning and guidance. EMBC (2011)
Philippe Burlina, Ryan Mukherjee, Radford Juang, Chad Sprouse
Recovering Endocardial Walls from 3D TEE. FIMH (2011)
Philippe Burlina, David E. Freund, B. Dupas, Neil M. Bressler
Automatic screening of age-related macular degeneration and retinal abnormalities. EMBC (2011)
Radford Juang, Elliot R. McVeigh, Beatrice Hoffmann, David D. Yuh, Philippe Burlina
Automatic segmentation of the left-ventricular cavity and atrium in 3D ultrasound using graph cuts and the radial symmetry transform. ISBI (2011)
Francisco Contijoch, Laura Fernandez-de-Manuel, Tri Ngo, Joshua Stearns, Kelly L. Grogan, MaryBeth Brady, Philippe Burlina, Andrés Santos, David D. Yuh, Daniel A. Herzka, María J. Ledesma-Carbayo, Elliot R. McVeigh
Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences. ISBI (2010)
Amit Banerjee, Philippe Burlina
Efficient Particle Filtering via Sparse Kernel Density Estimation. IEEE Trans. Image Process. 19 (9) (2010)
Philippe Burlina, Chad Sprouse, Daniel DeMenthon, Anne Jorstad, Radford Juang, Francisco Contijoch, Theodore Abraham, David D. Yuh, Elliot R. McVeigh
Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE. IPCAI (2010)
Amit Banerjee, Radford Juang, Joshua B. Broadwater, Philippe Burlina
Sparse feature extraction for Support Vector Data Description applications. IGARSS (2010)
Anne Jorstad, Daniel DeMenthon, I-Jeng Wang, Philippe Burlina
Distributed Consensus on Camera Pose. IEEE Trans. Image Process. 19 (9) (2010)
Radford Juang, Andre Levchenko, Philippe Burlina
Tracking Cell Motion Using GM-PHD. ISBI (2009)
David E. Freund, Neil M. Bressler, Philippe Burlina
Automated Detection of Drusen in the Macula. ISBI (2009)
Amit Banerjee, Philippe Burlina, Joshua B. Broadwater
Hyperspectral video for illumination-invariant tracking. WHISPERS (2009)
Radford Juang, Philippe Burlina
Comparative performance evaluation of GM-PHD filter in clutter. FUSION (2009)
Radford Juang, Philippe Burlina, Amit Banerjee
Level set segmentation of hyperspectral images using joint spectral edge and signature information. FUSION (2008)
David E. Freund, Philippe Burlina, Amit Banerjee
Characterization of spatial ordering of corneal stroma fibrils. ISBI (2008)
Amit Banerjee, Philippe Burlina, Reuven Meth
Fast Hyperspectral Anomaly Detection via SVDD. ICIP (4) (2007)
Amit Banerjee, Philippe Burlina, Joshua B. Broadwater
A machine learning approach for finding hyperspectral endmembers. IGARSS (2007)
Joshua B. Broadwater, Rama Chellappa, Amit Banerjee, Philippe Burlina
Kernel fully constrained least squares abundance estimates. IGARSS (2007)
Amit Banerjee, Philippe Burlina, Chris Diehl
A support vector method for anomaly detection in hyperspectral imagery. IEEE Trans. Geosci. Remote. Sens. 44 (8) (2006)
Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa
Knowledge-based control of vision systems. Image Vis. Comput. 17 (9) (1999)
Fady Alajaji, Saud A. Al-Semari, Philippe Burlina
Visual communication via trellis coding and transmission energy allocation. IEEE Trans. Commun. 47 (11) (1999)
Amit Banerjee, Philippe Burlina, Fady Alajaji
Image segmentation and labeling using the Polya urn model. IEEE Trans. Image Process. 8 (9) (1999)
Amit Banerjee, Philippe Burlina, Rama Chellappa
Adaptive target detection in foliage-penetrating SAR images using alpha-stable models. IEEE Trans. Image Process. 8 (12) (1999)
A. N. Rajagopalan, Philippe Burlina, Rama Chellappa
Detection of people in images. IJCNN (1999)
Chiraz BenAbdelkader, Philippe Burlina, Larry S. Davis
Single Camera Multiplexing for Multi-Target Tracking. ICIAP (1999)
A. N. Rajagopalan, Philippe Burlina, Rama Chellappa
Higher Order Statistical Learning for Vehicle Detection in Images. ICCV (1999)
Chandra Shekhar, Sabine Moisan, Régis Vincent, Philippe Burlina, Rama Chellappa
Use of Knowledge-Based Control for Vision Systems. IEA/AIE (Vol. 2) (1998)
Amit Banerjee, Philippe Burlina, Fady Alajaji
Contagion-Based Image Segmentation and Labeling. ICCV (1998)
Amit Banerjee, Philippe Burlina, Rama Chellappa, Rohit Kapoor
Frequency Dependence of ATD Performance in Foliage-Penetrating SAR Images. ICIP (1) (1998)
Gamze D. Cetintemel, Philippe Burlina
On-the-Fly Snake Construction from Video. ICIP (3) (1998)
Philippe Burlina, Rama Chellappa
Temporal Analysis of Motion in Video Sequences through Predictive Operators. Int. J. Comput. Vis. 28 (2) (1998)
Philippe Burlina, Fady Alajaji
An error resilient scheme for image transmission over noisy channels with memory. IEEE Trans. Image Process. 7 (4) (1998)
Rama Chellappa, Qinfen Zheng, Philippe Burlina, Chandra Shekhar, Kie B. Eom
On the positioning of multisensor imagery for exploitation and target recognition. Proc. IEEE 85 (1) (1997)

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Publication Activity (10 Years)

Top Topics

Top Venues

Philippe Burlina