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

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015-01, Vol.9351, p.374-382

2015

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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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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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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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Photographic Text-to-Image Synthesis with a Hierarchically-Nested Adversarial Network

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.6199-6208

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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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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Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Nature machine intelligence, 2019-08, Vol.1 (8), p.384-384

2019

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Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Nature machine intelligence, 2019-06, Vol.1 (6), p.289-289

2019

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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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Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9901, p.185-193

2016

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Kernel-Based Supervised Discrete Hashing for Image Retrieval

Computer Vision – ECCV 2016, 2016, p.419-433

2016

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Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 2017, Vol.10435, p.674-682

2017

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

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015, Vol.9351, p.383-390

2015

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Loss-Based Attention for Deep Multiple Instance Learning

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020, Vol.34 (4), p.5742-5749

2020

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Deep Learning for Muscle Pathology Image Analysis

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.23-41

2019

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Cell Encoding for Histopathology Image Classification

Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, 2017, Vol.10434, p.30-38

2017

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Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems

Fourteenth ACM Conference on Recommender Systems, 2020, p.521-526

2020

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Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9902, p.183-190

2016

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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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An Automatic Learning-Based Framework for Robust Nucleus Segmentation

Deep Learning in Microscopy Image Analysis: A Survey

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

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

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

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

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

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

Photographic Text-to-Image Synthesis with a Hierarchically-Nested Adversarial Network

Efficient and robust cell detection: A structured regression approach

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

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

Supervised graph hashing for histopathology image retrieval and classification

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

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation

Kernel-Based Supervised Discrete Hashing for Image Retrieval

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks

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

Loss-Based Attention for Deep Multiple Instance Learning

Deep Learning for Muscle Pathology Image Analysis

Cell Encoding for Histopathology Image Classification

Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation

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

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