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04/19/2023
Analyzing the Domain Shift Immunity of Deep Homography Estimation
Homography estimation is a basic image-alignment method in many applicat...
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07/20/2022
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation
Convolutional neural networks (CNNs) have been successfully applied to c...
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06/24/2022
Stain based contrastive co-training for histopathological image analysis
We propose a novel semi-supervised learning approach for classification ...
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01/12/2022
Adversarially Robust Classification by Conditional Generative Model Inversion
Most adversarial attack defense methods rely on obfuscating gradients. T...
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12/22/2021
Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays
The interpretability of medical image analysis models is considered a ke...
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09/10/2020
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Adversarial training, especially projected gradient descent (PGD), has b...
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07/04/2020
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
The high complexity of deep learning models is associated with the diffi...
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01/31/2020
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy
We introduce the idea of inter-slice image augmentation whereby the numb...
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08/27/2019
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
Knowledge of what spatial elements of medical images deep learning metho...
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07/08/2019
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images
In medical applications, the same anatomical structures may be observed ...
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01/08/2019
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images
Data driven segmentation is an important initial step of shape prior-bas...
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09/03/2018
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors
In this paper, we propose an efficient pseudo-marginal Markov chain Mont...
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07/03/2017
Appearance invariance in convolutional networks with neighborhood similarity
We present a neighborhood similarity layer (NSL) which induces appearanc...
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11/11/2016
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors
Segmenting images of low quality or with missing data is a challenging p...
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08/14/2016
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation
Region-based methods have proven necessary for improving segmentation ac...
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06/24/2016
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method
Level set methods are widely used for image segmentation because of thei...
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06/23/2016
Convex Decomposition And Efficient Shape Representation Using Deformable Convex Polytopes
Decomposition of shapes into (approximate) convex parts is essential for...
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06/14/2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Effective convolutional neural networks are trained on large sets of lab...
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06/09/2016
Mutual Exclusivity Loss for Semi-Supervised Deep Learning
In this paper we consider the problem of semi-supervised learning with d...
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12/30/2014
Disjunctive Normal Networks
Artificial neural networks are powerful pattern classifiers; however, th...
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02/04/2014