Dongnan Liu | DeepAI

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∙ 08/31/2023

Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training

Accurately measuring the evolution of Multiple Sclerosis (MS) with magne...

0 Lei Bai, et al. ∙

∙ 07/27/2023

Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation

Training an image captioner without annotated image-sentence pairs has g...

0 Zhiyuan Li, et al. ∙

∙ 07/27/2023

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation

The success of automated medical image analysis depends on large-scale a...

0 Jianan Fan, et al. ∙

∙ 06/12/2023

Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset

Accurate segmentation of pulmonary airways and vessels is crucial for th...

0 Ziqiao Weng, et al. ∙

∙ 05/07/2023

SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation

The adversarial methods showed advanced performance by producing synthet...

0 Xinwen Zhang, et al. ∙

∙ 05/04/2023

Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features

AI-enhanced segmentation of neuronal boundaries in electron microscopy (...

0 Yuxiang An, et al. ∙

∙ 10/31/2022

TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging

Diffusion Weighted Imaging (DWI) is an advanced imaging technique common...

0 Zihao Tang, et al. ∙

∙ 10/10/2022

Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data

Deep learning-based segmentation methods have been widely employed for a...

0 Qianbi Yu, et al. ∙

∙ 07/04/2022

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Unsupervised domain adaptation (UDA) methods have been broadly utilized ...

0 Canran Li, et al. ∙

∙ 05/03/2022

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning

Federated learning (FL) has been widely employed for medical image analy...

7 Dongnan Liu, et al. ∙

∙ 05/05/2020

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...

19 Dongnan Liu, et al. ∙

∙ 02/15/2020

Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images

Instance segmentation is an important task for biomedical image analysis...

6 Dongnan Liu, et al. ∙

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