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02/01/2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Deep learning empowers the mainstream medical image segmentation methods...
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09/03/2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
The paradigm of machine intelligence moves from purely supervised learni...
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07/28/2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning
Exemplar-free Class-incremental Learning (CIL) is a challenging problem ...
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07/15/2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Task-free continual learning (CL) aims to learn a non-stationary data st...
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05/05/2022
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning
Object tracking is one of the fundamental problems in visual recognition...
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05/04/2022
Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model
The abundance of data affords researchers to pursue more powerful comput...
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02/05/2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Few-shot learning (FSL) is the process of rapid generalization from abun...
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09/29/2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Recognizing new objects by learning from a few labeled examples in an ev...
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09/04/2021
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Self-supervised learning provides an opportunity to explore unlabeled ch...
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09/04/2021
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
Pre-training visual and textual representations from large-scale image-t...
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09/01/2021
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation
Many segmentation tasks for biomedical images can be modeled as the mini...
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06/25/2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
Deep Neural Networks (DNNs), despite their tremendous success in recent ...
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05/05/2021
Soft-Attention Improves Skin Cancer Classification Performance
In clinical applications, neural networks must focus on and highlight th...
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11/05/2019
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation
The recent state-of-the-art deep learning methods have significantly imp...
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09/20/2019
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
Three-dimensional medical image segmentation is one of the most importan...
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04/15/2019
Brain Tumor Segmentation on MRI with Missing Modalities
Brain Tumor Segmentation from magnetic resonance imaging (MRI) is a crit...
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08/17/2018
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
We present and evaluate a new deep neural network architecture for autom...
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01/19/2017
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
Accurately predicting and detecting interstitial lung disease (ILD) patt...
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09/21/2016
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features
Computed tomography imaging is a standard modality for detecting and ass...
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02/10/2016