H. Su

发表

Nuclei / Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations

H. Su, 2018 .

Nuclei / Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations

H. Su, 2019 .

Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations

H. Su, 2019 .

Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations

H. Su, 2017 .

Segmentation of salivary gland tumors in ultrasonic images based on anisotropic diffusion and random walk

H. Su, Hou-jin Chen, Jupeng Li, 2012, 2012 IEEE 11th International Conference on Signal Processing.

AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle

Hai Su, Fuyong Xing, Yuanpu Xie, 2017, IEEE Journal of Biomedical and Health Informatics.

Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations

Hai Su, H. Su, 2014 .

Deep Learning in Microscopy Image Analysis: A Survey

Hai Su, Fuyong Xing, Yuanpu Xie, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis

Hai Su, Lin Yang, Fuyong Xing, 2019, Medical Image Anal..

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders

Hai Su, Lin Yang, Shaoting Zhang, 2015, MICCAI.

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

Hai Su, Chunbao Wang, Jinzheng Cai, 2019, Nat. Mach. Intell..

Mosaicism for Dominant Collagen 6 Mutations as a Cause for Intrafamilial Phenotypic Variability

T. Crawford, F. Muntoni, R. Weiss, 2015, Human mutation.

Supervised graph hashing for histopathology image retrieval and classification

Hai Su, Lin Yang, Fuyong Xing, 2017, Medical Image Anal..

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

Zizhao Zhang, M. Bui, Lin Yang, 2019, Nature Machine Intelligence.

Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning

Hai Su, Lin Yang, Yuan Li, 2020, Artif. Intell. Medicine.

Robust automatic breast cancer staging using a combination of functional genomics and image-omics

Hai Su, Lin Yang, Fuyong Xing, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection

Hai Su, Lin Yang, Fuyong Xing, 2016, IEEE Transactions on Medical Imaging.

Efficient and robust cell detection: A structured regression approach

Hai Su, Lin Yang, Fuyong Xing, 2018, Medical Image Anal..

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

Hai Su, Lin Yang, Fuyong Xing, 2015, MICCAI.

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection pdf

Hai Su, Lin Yang, Fuyong Xing, 2017, ArXiv.

Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images

Hai Su, Lin Yang, Fuyong Xing, 2015, MICCAI.

Automatic muscle perimysium annotation using deep convolutional neural network

Fuyong Xing, Lin Yang, Manish Sapkota, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification

Lin Yang, Jinzheng Cai, Xiaoshuang Shi, 2019, MICCAI.

Region segmentation in histopathological breast cancer images using deep convolutional neural network

Hai Su, Lin Yang, Fuyong Xing, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

High-throughput histopathological image analysis via robust cell segmentation and hashing

Hai Su, Shaoting Zhang, Fuyong Xing, 2015, Medical Image Anal..

Automatic Myonuclear Detection in Isolated Single Muscle Fibers Using Robust Ellipse Fitting and Sparse Representation

Hai Su, Lin Yang, Fuyong Xing, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning

Hai Su, Lin Yang, Fuyong Xing, 2014, IEEE Transactions on Biomedical Engineering.

Cell Encoding for Histopathology Image Classification

Hai Su, Lin Yang, Fuyong Xing, 2017, MICCAI.

Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval

Hai Su, Lin Yang, Shaoting Zhang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor

Hai Su, Lin Yang, Fuyong Xing, 2013, MICCAI.

Novel image markers for non-small cell lung cancer classification and survival prediction

Hai Su, Hongyuan Wang, Lin Yang, 2014, BMC Bioinformatics.

Breast mass classification via deeply integrating the contextual information from multi-view data

Li Liu, Hai Su, Hua He, 2018, Pattern Recognit..

Structured orthogonal matching pursuit for feature selection

Zhenhua Guo, Hai Su, Lin Yang, 2019, Neurocomputing.

Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations

Hai Su, Chao Wang, Lin Yang, 2016, PSB.