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05/23/2023
Real-Time Idling Vehicles Detection Using Combined Audio-Visual Deep Learning
Combustion vehicle emissions contribute to poor air quality and release ...
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09/27/2022
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
Pathologists diagnose and grade prostate cancer by examining tissue from...
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11/13/2021
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor
In current biological and medical research, statistical shape modeling (...
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10/14/2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Statistical shape modeling (SSM) characterizes anatomical variations in ...
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06/13/2020
Self-Supervised Discovery of Anatomical Shape Landmarks
Statistical shape analysis is a very useful tool in a wide range of medi...
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04/27/2020
Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science
Modern science, technology, and politics are all permeated by data that ...
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06/28/2019
SetGANs: Enforcing Distributional Accuracy in Generative Adversarial Networks
This paper addresses the ability of generative adversarial networks (GAN...
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06/13/2019
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets
Deep networks are an integral part of the current machine learning parad...
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03/06/2019
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation
Difficult image segmentation problems, for instance left atrium MRI, can...
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10/03/2018
On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application
Statistical shape modeling (SSM) has proven useful in many areas of biol...
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09/30/2018
