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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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Volltext

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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Volltext

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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Volltext

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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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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Volltext

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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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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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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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, 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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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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Volltext

Automatic muscle perimysium annotation using deep convolutional neural network

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015-04, Vol.2015, p.205-208

2015

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Volltext

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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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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Novel image markers for non-small cell lung cancer classification and survival prediction

BMC bioinformatics, 2014-09, Vol.15 (1), p.310-310, Article 310

2014

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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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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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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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Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 3), p.404-412

2013

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Parallel content-based sub-image retrieval using hierarchical searching

Bioinformatics, 2014-04, Vol.30 (7), p.996-1002

2014

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An Automatic Learning-Based Framework for Robust Nucleus Segmentation

Deep Learning in Microscopy Image Analysis: A Survey

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

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

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

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

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

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

Kernel machine tests of association between brain networks and phenotypes

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

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

Automatic muscle perimysium annotation using deep convolutional neural network

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

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

Novel image markers for non-small cell lung cancer classification and survival prediction

Supervised graph hashing for histopathology image retrieval and classification

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

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

Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation

Parallel content-based sub-image retrieval using hierarchical searching

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