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07/15/2023
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
Unpaired Medical Image Enhancement (UMIE) aims to transform a low-qualit...
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04/10/2023
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning
Equipped with the trained environmental dynamics, model-based offline re...
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11/26/2022
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
Recently, deep neural networks have greatly advanced histopathology imag...
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07/15/2022
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
Deep learning-based melanoma classification with dermoscopic images has ...
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06/15/2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction
Recently, deep neural networks have greatly advanced undersampled Magnet...
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02/18/2022
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Few-shot learning is an established topic in natural images for years, b...
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12/21/2021
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients
It is vital to accurately estimate the value function in Deep Reinforcem...
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12/09/2021
Implicit Feature Refinement for Instance Segmentation
We propose a novel implicit feature refinement module for high-quality i...
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09/28/2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Semi-supervised learning has substantially advanced medical image segmen...
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07/06/2021
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration
In order to tackle the difficulty associated with the ill-posed nature o...
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06/18/2021
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation
Boundary-based instance segmentation has drawn much attention since of i...
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06/06/2021
Efficient Continuous Control with Double Actors and Regularized Critics
How to obtain good value estimation is one of the key problems in Reinfo...
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11/12/2020
Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance
Multimodal image registration (MIR) is a fundamental procedure in many i...
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11/12/2020
Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks
The loss function of an unsupervised multimodal image registration frame...
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09/15/2020
F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration
Multimodal deformable image registration is essential for many image-gui...
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07/06/2020
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration
Deformable image registration between Computed Tomography (CT) images an...
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02/22/2020
