Ge Yang

Orcid: 0000-0001-6176-3130

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
  • University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
  • Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA, USA
  • Scripps Research Institute, San Diego, CA, USA
  • University of Minnesota Twin Cities, Minneapolis, MN, USA (PhD 2004)


According to our database1, Ge Yang authored at least 44 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Robust Source-Free Domain Adaptation for Fundus Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spatial and Planar Consistency for Semi-Supervised Volumetric Medical Image Segmentation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Robustness Benchmark Datasets for Semantic Segmentation of Fluorescence Images.
Dataset, August, 2022

Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks.
CoRR, 2022

Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Fast Particle Picking For Cryo-Electron Tomography Using One-Stage Detection.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

3d Particle Picking in Cryo-Electron Tomograms Using Instance Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks.
Dataset, June, 2021

Advancing biological super-resolution microscopy through deep learning: a brief review.
CoRR, 2021

Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images.
CoRR, 2021

Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms.
Bioinform., 2021

Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Blind Denoising of Fluorescence Microscopy Images Using GAN-Based Global Noise Modeling.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Attention-based LSTM for Motion Switching Detection of Particles in Living Cells.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms.
CoRR, 2020

Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Quality Assessment of Synthetic Fluorescence Microscopy Images for Image Segmentation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology.
Quant. Biol., 2018

Characterizing Robustness and Sensitivity of Convolutional Neural Networks in Segmentation of Fluorescence Microscopy Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.
Bioinform., 2017

Image-based measurement of cargo traffic flow in complex neurite networks.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matching.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Shape component analysis: structure-preserving dimension reduction on biological shape spaces.
Bioinform., 2016

2015
An image-based computational method for characterizing whole-cell scale spatiotemporal dynamics of intracellular transport.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A sliding-window data aggregation method for super-resolution imaging of live cells.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Integrating dimension reduction with mean-shift clustering for biological shape classification.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Computational removal ofbackground fluorescence for biological fluorescence microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Structure-based determination of imaging length for super-resolution localization microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Spatial density estimation based segmentation of super-resolution localization microscopy images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Cell penetrating peptide mediated quantum dot delivery and release in live mammalian cells.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport.
Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2014

2013
Drift correction for fluorescence live cell imaging through correlated motion identification.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Nanometer resolution tracking and modeling of bidirectional axonal cargo transport.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2005
Optomechatronic Design of Microassembly Systems for Manufacturing Hybrid Microsystems.
IEEE Trans. Ind. Electron., 2005

2003
A Supervisory Wafer-Level 3D Microassembly System for Hybrid MEMS Fabrication.
J. Intell. Robotic Syst., 2003

Wavelet-based autofocusing and unsupervised segmentation of microscopic images.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Micromanipulation contact transition control by selective focusing and microforce control.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

2002
Sensing Nanonewton Level Forces by Visually Tracking Structural Deformations.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001
A Flexible Experimental Workcell for Efficient and Reliable Wafer-Level 3D Microassembly.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001


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