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

IEEE/ACM transactions on computational biology and bioinformatics, 2014-07, Vol.11 (4), p.714-726

2014

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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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Efficient and robust cell detection: A structured regression approach

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

2018

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

Medical image analysis, 2015-12, Vol.26 (1), p.306-315

2015

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

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015-10, Vol.9351, p.358-365

2015

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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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Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images

IEEE journal of biomedical and health informatics, 2019-03, Vol.23 (2), p.805-816

2019

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Self-learning for face clustering

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

2018

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Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images

IEEE transactions on medical imaging, 2021-10, Vol.40 (10), p.2880-2896

2021

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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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Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 2019-10, p.740-749

2019

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Learning with limited target data to detect cells in cross-modality images

Medical image analysis, 2023-12, Vol.90, p.102969-102969, Article 102969

2023

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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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Supervised graph hashing for histopathology image retrieval and classification

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

2017

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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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Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images using Context Encoding

IEEE transactions on medical imaging, 2023-10, Vol.42 (10), p.1-1

2023

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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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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

SemiContour: A Semi-Supervised Learning Approach for Contour Detection

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

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

Pairwise based deep ranking hashing for histopathology image classification and retrieval

Efficient and robust cell detection: A structured regression approach

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

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

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

Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images

Self-learning for face clustering

Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images

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

Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification

Learning with limited target data to detect cells in cross-modality images

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing

Supervised graph hashing for histopathology image retrieval and classification

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

Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images using Context Encoding

Revisiting graph construction for fast image segmentation

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