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03/31/2023
Directional Connectivity-based Segmentation of Medical Images
Anatomical consistency in biomarker segmentation is crucial for many med...
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09/26/2022
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation
Optical coherence tomography (OCT) helps ophthalmologists assess macular...
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02/27/2021
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
Salient object detection (SOD) is viewed as a pixel-wise saliency modeli...
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02/17/2021
Deep Extreme Value Copulas for Estimation and Sampling
We propose a new method for modeling the distribution function of high d...
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12/11/2020
Mesoscopic photogrammetry with an unstabilized phone camera
We present a feature-free photogrammetric technique that enables quantit...
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07/12/2020
Fisher Auto-Encoders
It has been conjectured that the Fisher divergence is more robust to mod...
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07/12/2020
Learning latent stochastic differential equations with variational auto-encoders
We present a method for learning latent stochastic differential equation...
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10/22/2019
Learning Partial Differential Equations from Data Using Neural Networks
We develop a framework for estimating unknown partial differential equat...
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08/15/2019