A Flexible Experimental Workcell for Efficient and Reliable Wafer-Level 3D Microassembly. - Ge Yang 002; James A. Gaines; Bradley J. Nelson (ICRA, 2001)

Sensing Nanonewton Level Forces by Visually Tracking Structural Deformations. - Michael A. Greminger; Ge Yang 002; Bradley J. Nelson (ICRA, 2002)

Micromanipulation contact transition control by selective focusing and microforce control. - Ge Yang 002; Bradley J. Nelson (ICRA, 2003)

Wavelet-based autofocusing and unsupervised segmentation of microscopic images. - Ge Yang 002; Bradley J. Nelson (IROS, 2003)

A Supervisory Wafer-Level 3D Microassembly System for Hybrid MEMS Fabrication. - Ge Yang 002; James A. Gaines; Bradley J. Nelson (J. Intell. Robotic Syst., 2003)

Optomechatronic Design of Microassembly Systems for Manufacturing Hybrid Microsystems. - Ge Yang 002; James A. Gaines; Bradley J. Nelson (IEEE Trans. Ind. Electron., 2005)

Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology. - Kuan-Chieh Jackie Chen; Yiyi Yu; Ruiqin Li; Hao-Chih Lee; Ge Yang 002; Jelena Kovacevic (ICIP, 2012)

Nanometer resolution tracking and modeling of bidirectional axonal cargo transport. - Minhua Qiu; Hao-Chih Lee; Ge Yang 002 (ISBI, 2012)

Drift correction for fluorescence live cell imaging through correlated motion identification. - Minhua Qiu; Ge Yang 002 (ISBI, 2013)

Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport. - Kuan-Chieh Jackie Chen; Minhua Qiu; Jelena Kovacevic; Ge Yang 002 (CompIMAGE, 2014)

Cell penetrating peptide mediated quantum dot delivery and release in live mammalian cells. - Jianquan Xu; Yiyi Yu; Hao-Chih Lee; Qirui Fan; Jessica Winter; Ge Yang 002 (EMBC, 2014)

Spatial density estimation based segmentation of super-resolution localization microscopy images. - Kuan-Chieh Jackie Chen; Ge Yang 002; Jelena Kovacevic (ICIP, 2014)

Structure-based determination of imaging length for super-resolution localization microscopy. - Kuan-Chieh Jackie Chen; Jelena Kovacevic; Ge Yang 002 (ISBI, 2014)

Computational removal ofbackground fluorescence for biological fluorescence microscopy. - Hao-Chih Lee; Ge Yang 002 (ISBI, 2014)

Integrating dimension reduction with mean-shift clustering for biological shape classification. - Hao-Chih Lee; Ge Yang 002 (ISBI, 2014)

A sliding-window data aggregation method for super-resolution imaging of live cells. - Kuan-Chieh Jackie Chen; Yiyi Yu; Jelena Kovacevic; Ge Yang 002 (ISBI, 2015)

An image-based computational method for characterizing whole-cell scale spatiotemporal dynamics of intracellular transport. - Hao-Chih Lee; Ge Yang 002 (ISBI, 2015)

Shape component analysis: structure-preserving dimension reduction on biological shape spaces. - Hao-Chih Lee; Tao Liao; Yongjie Jessica Zhang; Ge Yang 002 (Bioinform., 2016)

Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matching. - Huilin Yang; Jing Wang; Haiyun Tang; Qinle Ba; Ge Yang 002; Xiaoying Tang 001 (EMBC, 2017)

Image-based measurement of cargo traffic flow in complex neurite networks. - Xiaoqi Chai; Douglas Qian; Qinle Ba; Angran Li; Yongjie Jessica Zhang; Ge Yang 002 (ICIP, 2017)

Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. - Min Xu 009; Xiaoqi Chai; Hariank Muthakana; Xiaodan Liang; Ge Yang 002; Tzviya Zeev-Ben-Mordehai; Eric P. Xing (Bioinform., 2017)

Characterizing Robustness and Sensitivity of Convolutional Neural Networks in Segmentation of Fluorescence Microscopy Images. - Xiaoqi Chai; Qinle Ba; Ge Yang 002 (ICIP, 2018)

Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology. - Xiaoqi Chai; Qinle Ba; Ge Yang 002 (Quant. Biol., 2018)

Quality Assessment of Synthetic Fluorescence Microscopy Images for Image Segmentation. - Yile Feng; Xiaoqi Chai; Qinle Ba; Ge Yang 002 (ICIP, 2019)

Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion. - Yuanhao Guo; Fons J. Verbeek; Ge Yang 002 (ISBI, 2020)

Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms. - Liangyong Yu; Ran Li; Xiangrui Zeng; Hongyi Wang; Jie Jin; Ge Yang 002; Rui Jiang 001; Min Xu 009 (CoRR, 2020)

Attention-based LSTM for Motion Switching Detection of Particles in Living Cells. - Bo You; Ge Yang 002 (IJCNN, 2021)

Blind Denoising of Fluorescence Microscopy Images Using GAN-Based Global Noise Modeling. - Liqun Zhong; Guole Liu; Ge Yang 002 (ISBI, 2021)

Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features. - Yuanhao Guo; Jiaxing Huang; Yanfeng Zhou; Yaoru Luo; Wenjing Li; Ge Yang 002 (PRCV (3), 2021)

Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms. - Liangyong Yu; Ran Li; Xiangrui Zeng; Hongyi Wang; Jie Jin; Ge Yang 002; Rui Jiang 001; Min Xu 009 (Bioinform., 2021)

Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images. - Yaoru Luo; Guole Liu; Wenjing Li; Yuanhao Guo; Ge Yang 002 (CoRR, 2021)

Advancing biological super-resolution microscopy through deep learning: a brief review. - Tianjie Yang; Yaoru Luo; Wei Ji; Ge Yang 002 (CoRR, 2021)

Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks. - Yaoru Luo; Yuanhao Guo; Wenjing Li; Guole Liu; Ge Yang 002 (IEEE DataPort, 2021)

Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation. - Yaoru Luo; Guole Liu; Yuanhao Guo; Ge Yang 002 (AAAI, 2022)

3d Particle Picking in Cryo-Electron Tomograms Using Instance Segmentation. - Guole Liu; Yaoru Luo; Ge Yang 002 (ICIP, 2022)

Fast Particle Picking For Cryo-Electron Tomography Using One-Stage Detection. - Shiyu Wu; Guole Liu; Ge Yang 002 (ISBI, 2022)

Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations. - Yuanhao Guo; Yaoru Luo; Wenjing Li; Ge Yang 002 (PRCV (2), 2022)

Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks. - Yaoru Luo; Guole Liu; Yuanhao Guo; Ge Yang 002 (CoRR, 2022)

Robustness Benchmark Datasets for Semantic Segmentation of Fluorescence Images. - Liqun Zhong; Ge Yang 002; Lingrui Li (IEEE DataPort, 2022)

Spatial and Planar Consistency for Semi-Supervised Volumetric Medical Image Segmentation. - Yanfeng Zhou; Yiming Huang; Ge Yang 002 (BMVC, 2023)

XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images. - Yanfeng Zhou; Jiaxing Huang; Chenlong Wang; Le Song; Ge Yang 002 (ICCV, 2023)

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. - Kaijie Zhu; Xixu Hu; Jindong Wang 001; Xing Xie 001; Ge Yang 002 (ICCV, 2023)

ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection. - Yiming Huang; Guole Liu; Yaoru Luo; Ge Yang 002 (ICIP, 2023)

XNet v2: Fewer Limitations, Better Results and Greater Universality. - Yanfeng Zhou; Lingrui Li; Zichen Wang; Guole Liu; Ziwen Liu; Ge Yang 002 (BIBM, 2024)

Representing Topological Self-similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures. - Jiaxing Huang; Yanfeng Zhou; Yaoru Luo; Guole Liu; Heng Guo; Ge Yang 002 (ECCV (30), 2024)

Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness. - Liqun Zhong; Kaijie Zhu; Ge Yang 002 (ICPR (1), 2024)

Improve Corruption Robustness of Intracellular Structures Segmentation in Fluorescence Microscopy Images. - Liqun Zhong; Yanfeng Zhou; Ge Yang 002 (PRCV (8), 2024)

Robust Source-Free Domain Adaptation for Fundus Image Segmentation. - Lingrui Li; Yanfeng Zhou; Ge Yang 002 (WACV, 2024)

Current opinions on large cellular models. - Minsheng Hao; Lei Wei; Fan Yang 081; Jianhua Yao 001; Christina V. Theodoris; Bo Wang 044; Xin Li; Ge Yang 002; Xuegong Zhang (Quant. Biol., 2024)

Robustness Benchmark Datasets for Semantic Segmentation of Fluorescence Images Updated. - Liqun Zhong; Lingrui Li; Ge Yang 002 (IEEE DataPort, 2024)

Benchmarking robustness of deep neural networks in semantic segmentation of fluorescence microscopy images. - Liqun Zhong; Lingrui Li; Ge Yang 002 (BMC Bioinform., 2024)

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. - Ao Li 004; Wei Fang 005; Hongbo Zhao; Le Lu 001; Ge Yang 002; Minfeng Xu (ICLR, 2025)

GobletNet: Wavelet-Based High-Frequency Fusion Network for Semantic Segmentation of Electron Microscopy Images. - Yanfeng Zhou; Lingrui Li; Chenlong Wang; Le Song; Ge Yang 002 (IEEE Trans. Medical Imaging, 2025)

Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos. - Jiaheng Zhou; Yanfeng Zhou; Wei Fang 005; Yuxing Tang; Le Lu 001; Ge Yang 002 (CoRR, 2025)

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration. - Jiaxing Huang; Heng Guo; Le Lu 001; Fan Yang 081; Minfeng Xu; Ge Yang 002; Wei Luo (CoRR, 2025)