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08/27/2023
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation
Despite recent medical advancements, breast cancer remains one of the mo...
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03/10/2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Open international challenges are becoming the de facto standard for ass...
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01/16/2023
Data-aware customization of activation functions reduces neural network error
Activation functions play critical roles in neural networks, yet current...
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01/03/2023
High-Quality Supersampling via Mask-reinforced Deep Learning for Real-time Rendering
To generate high quality rendering images for real time applications, it...
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01/01/2023
Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields
Representing and synthesizing novel views in real-world dynamic scenes f...
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12/30/2021
TextRGNN: Residual Graph Neural Networks for Text Classification
Recently, text classification model based on graph neural network (GNN) ...
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11/22/2021
Auto-Encoding Score Distribution Regression for Action Quality Assessment
Action quality assessment (AQA) from videos is a challenging vision task...
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10/05/2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
In healthcare, it is essential to explain the decision-making process of...
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02/16/2021
Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors
Accurately predicting material properties is critical for discovering an...
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11/23/2020
A Use of Even Activation Functions in Neural Networks
Despite broad interest in applying deep learning techniques to scientifi...
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10/28/2020
Detecting Individuals with Depressive Disorder fromPersonal Google Search and YouTube History Logs
Depressive disorder is one of the most prevalent mental illnesses among ...
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09/05/2020
The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States dur
Mental health problems among the global population are worsened during t...
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07/02/2020
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
Conventional DNN training paradigms typically rely on one training set a...
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07/01/2020
Estimating Anxiety based on individual level engagements on YouTube Google Search Engine
Anxiety disorder is one of the most prevalent mental health conditions, ...
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06/30/2020
Understanding Diversity based Pruning of Neural Networks – Statistical Mechanical Analysis
Deep learning architectures with a huge number of parameters are often c...
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10/23/2019
Breast Anatomy Enriched Tumor Saliency Estimation
Breast cancer investigation is of great significance, and developing tum...
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09/14/2019
Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints
Breast cancer is one of the most serious disease affects women's health....
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08/08/2019
Efficient Inference of CNNs via Channel Pruning
The deployment of Convolutional Neural Networks (CNNs) on resource const...
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06/18/2019
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
Tumor saliency estimation aims to localize tumors by modeling the visual...
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10/31/2018
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
The ability to customize a trained Deep Neural Network (DNN) locally usi...
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06/27/2018
A Hybrid Framework for Tumor Saliency Estimation
Automatic tumor segmentation of breast ultrasound (BUS) image is quite c...
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02/13/2018
Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey
Osteoarthritis (OA) is one of the major health issues among the elderly ...
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01/09/2018
A Benchmark for Breast Ultrasound Image Segmentation (BUSIS)
Breast ultrasound (BUS) image segmentation is challenging and critical f...
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04/04/2017