Yang Nan | DeepAI

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Featured Co-authors

Hao Li
205 publications
Carola-Bibiane Schönlieb
128 publications
Guang Yang
118 publications
Wei Sun
100 publications
Jun Ma
90 publications
Yao Zhang
75 publications
Javier Del Ser
61 publications
Guang-Zhong Yang
49 publications
Hao Zheng
48 publications
Francisco Herrera
48 publications
Dan Zhang
47 publications

∙ 07/04/2023

Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images

Many skin lesion analysis (SLA) methods recently focused on developing a...

0 Peng Tang, et al. ∙

∙ 03/10/2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation

Open international challenges are becoming the de facto standard for ass...

0 Minghui Zhang, et al. ∙

∙ 09/07/2022

Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization

An unbounded external archive has been used to store all nondominated so...

0 Tianye Shu, et al. ∙

∙ 08/11/2022

Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation

Despite recent advances in the accuracy of brain tumor segmentation, the...

17 Hao Li, et al. ∙

∙ 08/04/2022

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network

Tissue segmentation is the mainstay of pathological examination, whereas...

22 Yang Nan, et al. ∙

∙ 07/19/2022

Large-Kernel Attention for 3D Medical Image Segmentation

Automatic segmentation of multiple organs and tumors from 3D medical ima...

12 Hao Li, et al. ∙

∙ 03/11/2022

Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology

Recognition of glomeruli lesions is the key for diagnosis and treatment ...

0 Yang Nan, et al. ∙

∙ 01/18/2022

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization

In the evolutionary multi-objective optimization (EMO) field, the standa...

0 Ke Shang, et al. ∙

∙ 01/17/2022

Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions

Removing the bias and variance of multicentre data has always been a cha...

26 Yang Nan, et al. ∙

∙ 10/31/2021

Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation

The Dice similarity coefficient (DSC) is both a widely used metric and l...

6 Michael Yeung, et al. ∙

∙ 04/20/2021

Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions

Hypervolume is widely used in the evolutionary multi-objective optimizat...

0 Ke Shang, et al. ∙

∙ 12/02/2019

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

There is a large body of literature linking anatomic and geometric chara...

0 Nicholas Heller, et al. ∙

∙ 12/20/2017

Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning

Gastric cancer is the second leading cause of cancer-related deaths worl...

0 Yang Nan, et al. ∙

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