| TARA: Training and Representation Alteration for AI Fairness and Domain Generalization | 1 | 0.37 | 2022 |
| Robustness and Adaptation to Hidden Factors of Variation | 0 | 0.34 | 2022 |
| Rényi Fair Information Bottleneck for Image Classification | 0 | 0.34 | 2022 |
| Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? | 0 | 0.34 | 2021 |
| Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection | 1 | 0.41 | 2021 |
| Addressing Visual Search in Open and Closed Set Settings | 0 | 0.34 | 2021 |
| Least Kth-Order And Renyi Generative Adversarial Networks | 1 | 0.37 | 2021 |
| Ai-Based Detection Of Erythema Migrans And Disambiguation Against Other Skin Lesions | 0 | 0.34 | 2020 |
| Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks | 0 | 0.34 | 2020 |
| Where'S Wally Now? Deep Generative And Discriminative Embeddings For Novelty Detection | 2 | 0.37 | 2019 |
| Automated detection of erythema migrans and other confounding skin lesions via deep learning. | 3 | 0.42 | 2019 |
| Deep embeddings for novelty detection in myopathy. | 0 | 0.34 | 2019 |
| Deep Learning based Retinal OCT Segmentation. | 6 | 0.49 | 2018 |
| Skin Image Analysis For Erythema Migrans Detection And Automated Lyme Disease Referral | 0 | 0.34 | 2018 |
| Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation. | 0 | 0.34 | 2018 |
| Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning. | 0 | 0.34 | 2017 |
| Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks | 2 | 0.40 | 2017 |
| Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. | 5 | 0.54 | 2017 |
| Detection of age-related macular degeneration via deep learning | 11 | 0.64 | 2016 |
| MRCNN: A stateful Fast R-CNN. | 0 | 0.34 | 2016 |
| Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography | 2 | 0.42 | 2015 |
| Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images | 3 | 0.56 | 2015 |
| Zero Shot Deep Learning From Semantic Attributes | 2 | 0.38 | 2015 |
| Autonomous on-board Near Earth Object detection | 0 | 0.34 | 2015 |
| Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography | 0 | 0.34 | 2014 |
| Cross validating hyperspectral with Ultrasound-based skin thickness estimation | 1 | 0.48 | 2014 |
| Mitral Valve Closure Prediction With 3-D Personalized Anatomical Models and Anisotropic Hyperelastic Tissue Assumptions | 0 | 0.34 | 2013 |
| A practical test set bound for rank learning | 0 | 0.34 | 2013 |
| Endocardium segmentation in 3D Transesophageal Echocardiography. | 1 | 0.40 | 2013 |
| Hyperspectral signature analysis of skin parameters | 2 | 0.53 | 2013 |
| Valvular closure prediction using anisotropic and hyperelastic tissue models and individualized anatomy derived from RT3DE. | 1 | 0.36 | 2012 |
| A personalized mitral valve closure simulator. | 2 | 0.44 | 2012 |
| Automatic Screening Of Age-Related Macular Degeneration And Retinal Abnormalities | 8 | 0.83 | 2011 |
| Myocardial Motion Computation In 4d Ultrasound | 1 | 0.36 | 2011 |
| Recovering endocardial walls from 3D TEE | 1 | 0.36 | 2011 |
| Patient-specific modeling of stress/strain for surgical planning and guidance. | 3 | 0.51 | 2011 |
| Sparse feature extraction for Support Vector Data Description applications | 2 | 0.44 | 2010 |
| Efficient particle filtering via sparse kernel density estimation. | 5 | 0.50 | 2010 |
| Patient-specific modeling and analysis of the mitral valve using 3D-TEE | 19 | 2.23 | 2010 |
| Distributed Consensus on Camera Pose | 3 | 0.40 | 2010 |
| Comparative performance evaluation of GM-PHD filter in clutter | 5 | 0.56 | 2009 |
| Hyperspectral video for illumination-invariant tracking | 9 | 0.61 | 2009 |
| Tracking cell motion using GM-PHD | 21 | 1.04 | 2009 |
| Level set segmentation of hyperspectral images using joint spectral edge and signature information | 1 | 0.39 | 2008 |
| Characterization of spatial ordering of corneal stroma fibrils | 0 | 0.34 | 2008 |
| Fast Hyperspectral Anomaly Detection via SVDD | 18 | 0.99 | 2007 |
| A machine learning approach for finding hyperspectral endmembers | 6 | 0.65 | 2007 |
| Kernel Fully Constrained Least Squares Abundance Estimates | 7 | 0.56 | 2007 |
| A support vector method for anomaly detection in hyperspectral imagery | 107 | 4.82 | 2006 |
| Higher Order Statistical Learning for Vehicle Detection in Images | 21 | 4.97 | 1999 |
