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06/06/2023
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation
Medical image segmentation of tumors and organs at risk is a time-consum...
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06/05/2023
Dual self-distillation of U-shaped networks for 3D medical image segmentation
U-shaped networks and its variants have demonstrated exceptional results...
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10/31/2022
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting
COVID-19 has become a matter of serious concern over the last few years....
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10/06/2022
A Coupled Hybridizable Discontinuous Galerkin and Boundary Integral Method for Analyzing Electromagnetic Scattering
A coupled hybridizable discontinuous Galerkin (HDG) and boundary integra...
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02/26/2022
Automated Identification of Toxic Code Reviews: How Far Can We Go?
Toxic conversations during software development interactions may have se...
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11/01/2021
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
As a deep learning model typically contains millions of trainable weight...
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06/25/2021
"Zero Shot" Point Cloud Upsampling
Point cloud upsampling using deep learning has been paid various efforts...
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05/14/2021
SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation
In medical image synthesis, model training could be challenging due to t...
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12/31/2020
FREA-Unet: Frequency-aware U-net for Modality Transfer
While Positron emission tomography (PET) imaging has been widely used in...
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12/24/2020
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
Micro-expression recognition (MER) has attracted lots of researchers' at...
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12/22/2020
Generating Long-term Continuous Multi-type Generation Profiles using Generative Adversarial Network
Today, the adoption of new technologies has increased power system dynam...
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11/24/2020
Generation of In-group Asset Condition Data for Power System Reliability Assessment
In a power system, unlike some critical and standalone assets that are e...
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06/27/2020
Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer
Recently, interest in MR-only treatment planning using synthetic CTs (sy...
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06/25/2020
Estimating Asset Class Health Indices in Power Systems
Power systems have widely adopted the concept of health index to describ...
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05/29/2020
A hybridizable discontinuous Galerkin method for simulation of electrostatic problems with floating potential conductors
In an electrostatic simulation, an equipotential condition with an undef...
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09/16/2019
A Data-driven Dynamic Rating Forecast Method and Application for Power Transformer Long-term Planning
This paper presents a data-driven method for producing annual continuous...
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08/19/2019
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
Image-to-image translation is to learn a mapping between images from a s...
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07/18/2019
Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning
Long-term load forecast (LTLF) for area distribution feeders is one of t...
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05/05/2019
A Pattern Recognition Method for Partial Discharge Detection on Insulated Overhead Conductors
Today,insulated overhead conductors are increasingly used in many places...
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01/06/2019
Combining Unsupervised and Supervised Learning for Asset Class Failure Prediction in Power Systems
In power systems, an asset class is a group of power equipment that has ...
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12/09/2018
A Hybrid Long-Term Load Forecasting Model for Distribution Feeder Peak Demand using LSTM Neural Network
Long Short-Term Memory (LSTM) neural network is an enhanced Recurrent Ne...
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05/26/2018
Combining Modified Weibull Distribution Models for Power System Reliability Forecast
In recent years, under deregulated environment, electric utility compani...
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05/02/2018
A Data-Driven Residential Transformer Overloading Risk Assessment Method
Residential transformer population is a critical type of asset that many...
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05/02/2018