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04/18/2023
Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks
In this paper, we primarily focus on understanding the data preprocessin...
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10/11/2022
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework
Automatic breast lesion detection and classification is an important tas...
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07/31/2022
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
As an important upstream task for many medical applications, supervised ...
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07/29/2022
BiFeat: Supercharge GNN Training via Graph Feature Quantization
Graph Neural Networks (GNNs) is a promising approach for applications wi...
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03/03/2021
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
With the widespread success of deep learning in biomedical image segment...
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04/16/2020
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
Computer vision with state-of-the-art deep learning models has achieved ...
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10/07/2019
