World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
17822
World Ranking
2453
National Ranking
1230

Overview

Lin Yang is affiliated with the University of Florida in the United States and has a sustained research focus primarily within computer science, contributing to related subfields such as artificial intelligence, computer vision and pattern recognition, and radiology, nuclear medicine and imaging.

Their work frequently intersects with topics involving AI applications in cancer detection, digital imaging for blood diseases, and radiomics and machine learning in medical imaging. Other explored areas include domain adaptation and few-shot learning, advanced neural network applications, COVID-19 diagnosis using AI, and cell image analysis techniques.

Lin Yang's recent publications demonstrate engagement with advanced methods in intelligent rehabilitation and medical image analysis. Notable papers include:

  • "Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation" (2025, IEEE Internet of Things Journal)
  • "Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud" (2025, Frontiers in Computational Neuroscience)
  • "An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training" (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "A deep learning-based framework for lung cancer survival analysis with biomarker interpretation" (2020, BMC Bioinformatics)
  • "Efficient and Robust Malware Detection Based on Control Flow Traces Using Deep Neural Networks" (2022, Computers & Security)

The scientist collaborates frequently with a core group of co-authors, including Hansheng Li, Jun Feng, Lei Cui, Yuxin Kang, and Chenglu Zhu, each contributing to multiple joint publications.

Lin Yang's research is regularly published in venues such as arXiv (Cornell University), Computers & Security, Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Medical Imaging, and the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Best Publications

  • Robust tracking using local sparse appearance model and K-selection

    Baiyang Liu;Junzhou Huang;Lin Yang;Casimir Kulikowsk

  • Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

    Fuyong Xing;Lin Yang

  • Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

    Lin Yang;Yizhe Zhang;Jianxu Chen;Siyuan Zhang

  • Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

    Zizhao Zhang;Lin Yang;Yefeng Zheng

  • Deep Learning in Microscopy Image Analysis: A Survey

    Fuyong Xing;Yuanpu Xie;Hai Su;Fujun Liu

  • An Automatic Learning-Based Framework for Robust Nucleus Segmentation

    Fuyong Xing;Yuanpu Xie;Lin Yang

  • Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

    Yizhe Zhang;Lin Yang;Jianxu Chen;Maridel Fredericksen

  • MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

    Zizhao Zhang;Yuanpu Xie;Fuyong Xing;Mason McGough

  • Photographic Text-to-Image Synthesis with a Hierarchically-Nested Adversarial Network

    Zizhao Zhang;Yuanpu Xie;Lin Yang

  • Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities

    Bin He;Lin Yang;C Wilke;Han Yuan

  • Technical Review on Chinese Digital Terrestrial Television Broadcasting Standard and Measurements on Some Working Modes

    Jian Song;Zhixing Yang;Lin Yang;Ke Gong

  • Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

    Zizhao Zhang;Pingjun Chen;Mason McGough;Fuyong Xing

  • Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set

    Xin Qi;Fuyong Xing;D. J. Foran;Lin Yang

  • Robust and fast collaborative tracking with two stage sparse optimization

    Baiyang Liu;Lin Yang;Junzhou Huang;Peter Meer

  • Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.

    Pingjun Chen;Linlin Gao;Xiaoshuang Shi;Kyle Allen

  • Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network

    Yuanpu Xie;Fuyong Xing;Xiangfei Kong;Hai Su

  • Unsupervised segmentation based on robust estimation and color active contour models

    Lin Yang;P. Meer;D.J. Foran

  • Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods

    Tao Pei;Cheng-Zhi Qin;A-Xing Zhu;Lin Yang

  • Deep Learning and Convolutional Neural Networks for Medical Image Computing

    Le Lu;Yefeng Zheng;Gustavo Carneiro;Lin Yang

  • 3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers

    Lin Yang;B. Georgescu;Yefeng Zheng;P. Meer

  • Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection

    Baiyang Liu;Junzhou Huang;Casimir Kulikowski;Lin Yang

  • Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

    Jinzheng Cai;Le Lu;Yuanpu Xie;Fuyong Xing

Frequent Co-Authors

Le Lu
Le Lu Alibaba Group (China)
Peter Meer
Peter Meer Rutgers, The State University of New Jersey
Yefeng Zheng
Yefeng Zheng Tencent (China)
Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China
Alan H. Beggs
Alan H. Beggs Harvard Medical School
Robert B. Weiss
Robert B. Weiss University of Utah
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Ronald M. Summers
Ronald M. Summers National Institutes of Health
Joel H. Saltz
Joel H. Saltz Stony Brook University
Diane M. Dunn
Diane M. Dunn University of Utah

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