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Deep Learning in Microscopy Image Analysis: A Survey

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4550-4568

2018

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IEEE_Xplore

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

IEEE transactions on biomedical engineering, 2012-03, Vol.59 (3), p.754-765

2012

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IEEE_Xplore

Towards pixel-to-pixel deep nucleus detection in microscopy images

BMC bioinformatics, 2019-09, Vol.20 (1), p.472-472, Article 472

2019

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A platform-independent framework for phenotyping of multiplex tissue imaging data

PLoS computational biology, 2023-09, Vol.19 (9), p.e1011432-e1011432

2023

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Content-based histopathology image retrieval using CometCloud

BMC bioinformatics, 2014-08, Vol.15 (1), p.287-287, Article 287

2014

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Efficient and robust cell detection: A structured regression approach

Medical image analysis, 2018-02, Vol.44, p.245-254

2018

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Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images

IEEE transactions on biomedical engineering, 2019-11, Vol.66 (11), p.3088-3097

2019

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IEEE_Xplore

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

Medical image analysis, 2020-02, Vol.60, p.101624-101624, Article 101624

2020

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Supervised graph hashing for histopathology image retrieval and classification

Medical image analysis, 2017-12, Vol.42, p.117-128

2017

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

IEEE journal of biomedical and health informatics, 2018-05, Vol.22 (3), p.942-954

2018

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IEEE_Xplore

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis

Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017, p.11-32

2017

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

Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017, p.257-278

2017

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Deep Voting and Structured Regression for Microscopy Image Analysis

Deep Learning for Medical Image Analysis, 2017

2017

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Deep Learning in Microscopy Image Analysis: A Survey

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

Towards pixel-to-pixel deep nucleus detection in microscopy images

A platform-independent framework for phenotyping of multiplex tissue imaging data

Content-based histopathology image retrieval using CometCloud

Efficient and robust cell detection: A structured regression approach

Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images

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

Supervised graph hashing for histopathology image retrieval and classification

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

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis

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

Deep Voting and Structured Regression for Microscopy Image Analysis

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