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

IEEE reviews in biomedical engineering, 2016, Vol.9, p.234-263

2016

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An Automatic Learning-Based Framework for Robust Nucleus Segmentation

IEEE transactions on medical imaging, 2016-02, Vol.35 (2), p.550-566

2016

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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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Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing

International journal of computer vision, 2020-09, Vol.128 (8-9), p.2307-2324

2020

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MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3549-3557

2017

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

IEEE transactions on medical imaging, 2016-06, Vol.35 (6), p.1575-1586

2016

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

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015-10, Vol.9351, p.374-382

2015

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

IEEE transactions on biomedical engineering, 2014-03, Vol.61 (3), p.859-870

2014

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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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SemiContour: A Semi-Supervised Learning Approach for Contour Detection

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Vol.2016, p.251-259

2016

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Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks

IEEE transactions on image processing, 2021, Vol.30, p.1662-1675

2021

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

Nature machine intelligence, 2019-05, Vol.1 (5), p.236-245

2019

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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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Deep learning on graphs for multi-omics classification of COPD

PloS one, 2023-04, Vol.18 (4), p.e0284563-e0284563

2023

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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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Automated liver lesion detection in 68Ga DOTATATE PET/CT using a deep fully convolutional neural network

EJNMMI research, 2021-10, Vol.11 (1), p.98-98, Article 98

2021

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

BMC bioinformatics, 2019-10, Vol.20 (1), p.509-509, Article 509

2019

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Kernel machine tests of association between brain networks and phenotypes

PloS one, 2019-03, Vol.14 (3), p.e0199340

2019

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An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning

Frontiers in genetics, 2022-01, Vol.12, p.760299-760299

2022

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

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.55-58

2015

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Editorial: Advances in AI methods for computational pathology

Frontiers in medicine, 2022-09, Vol.9, p.974857-974857

2022

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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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Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015-04, Vol.2015, p.1443-1446

2015

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Quantifying the incremental value of deep learning: Application to lung nodule detection

PloS one, 2020-04, Vol.15 (4), p.e0231468-e0231468

2020

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Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance

Bioengineering (Basel), 2024-02, Vol.11 (3), p.226

2024

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

An Automatic Learning-Based Framework for Robust Nucleus Segmentation

Deep Learning in Microscopy Image Analysis: A Survey

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

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

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

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

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

SemiContour: A Semi-Supervised Learning Approach for Contour Detection

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks

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

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

Deep learning on graphs for multi-omics classification of COPD

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

Automated liver lesion detection in 68Ga DOTATATE PET/CT using a deep fully convolutional neural network

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

Kernel machine tests of association between brain networks and phenotypes

An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning

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

Editorial: Advances in AI methods for computational pathology

Content-based histopathology image retrieval using CometCloud

Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor

Quantifying the incremental value of deep learning: Application to lung nodule detection

Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance

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