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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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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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Chronic Lymphocytic Leukemia Progression Diagnosis with Intrinsic Cellular Patterns via Unsupervised Clustering

Cancers, 2022-05, Vol.14 (10), p.2398

2022

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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

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

Chronic Lymphocytic Leukemia Progression Diagnosis with Intrinsic Cellular Patterns via Unsupervised Clustering

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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