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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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IEEE_Xplore

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

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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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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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

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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IEEE_Xplore

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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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-e0199340

2019

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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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Pairwise based deep ranking hashing for histopathology image classification and retrieval

Pattern recognition, 2018-09, Vol.81, p.14-22

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

Self-learning for face clustering

Pattern recognition, 2018-07, Vol.79, p.279-289

2018

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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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Location-Aware Encoding for Lesion Detection in 68Ga-DOTATATE Positron Emission Tomography Images

IEEE transactions on biomedical engineering, 2024-01, Vol.71 (1), p.247-257

2024

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Location-Aware Encoding for Lesion Detection in ^Ga-DOTATATE Positron Emission Tomography Images

IEEE transactions on biomedical engineering, 2024-01, Vol.71 (1), p.1-11

2024

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IEEE_Xplore

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing

IEEE transactions on image processing, 2021, Vol.30, p.1130-1142

2021

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IEEE_Xplore

Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping

Pattern recognition, 2019-02, Vol.86, p.368-375

2019

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Revisiting graph construction for fast image segmentation

Pattern recognition, 2018-06, Vol.78, p.344-357

2018

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A novel deep learning method for extracting unspecific biomedical relation

Concurrency and computation, 2020-01, Vol.32 (1), p.n/a

2020

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Learning without Real Data Annotations to Detect Hepatic Lesions in PET Images

IEEE transactions on biomedical engineering, 2024-02, Vol.71 (2), p.1-11

2024

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IEEE_Xplore

Location-Aware Encoding for Lesion Detection in 68 Ga-DOTATATE Positron Emission Tomography Images

IEEE transactions on biomedical engineering, 2024-01, Vol.71 (1), p.247

2024

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Structured orthogonal matching pursuit for feature selection

Neurocomputing (Amsterdam), 2019-07, Vol.349, p.164-172

2019

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

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

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

Deep learning on graphs for multi-omics classification of COPD

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

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

Pairwise based deep ranking hashing for histopathology image classification and retrieval

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

Self-learning for face clustering

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

Location-Aware Encoding for Lesion Detection in 68Ga-DOTATATE Positron Emission Tomography Images

Location-Aware Encoding for Lesion Detection in ^Ga-DOTATATE Positron Emission Tomography Images

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing

Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping

Revisiting graph construction for fast image segmentation

A novel deep learning method for extracting unspecific biomedical relation

Learning without Real Data Annotations to Detect Hepatic Lesions in PET Images

Location-Aware Encoding for Lesion Detection in 68 Ga-DOTATATE Positron Emission Tomography Images

Structured orthogonal matching pursuit for feature selection

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