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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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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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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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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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09/05/2020
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
Mask-based annotation of medical images, especially for 3D data, is a bo...
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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
