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Deep learning-enabled segmentation of ambiguous bioimages with deepflash2

Nature communications, 2023-03, Vol.14 (1), p.1679-1679, Article 1679

2023

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Machine Learning as Natural Monopoly

Iowa law review, 2022-05, Vol.107 (4), p.1543-1614

Narechania, Tejas N

2022

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Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation

Nature communications, 2020-12, Vol.11 (1), p.6254-6254, Article 6254

2020

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Deep learning powers a motion-tracking revolution

Nature (London), 2019-10, Vol.574 (7776), p.137-138

Kwok, Roberta

2019

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Unsupervised detection of cancer driver mutations with parsimony-guided learning

Nature genetics, 2016-10, Vol.48 (10), p.1288-1294

2016

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A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data

Nature genetics, 2018-12, Vol.50 (12), p.1735-1743

2018

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Mastering the game of Go without human knowledge

Nature (London), 2017-10, Vol.550 (7676), p.354-359

2017

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Neural alignment predicts learning outcomes in students taking an introduction to computer science course

Nature communications, 2021-03, Vol.12 (1), p.1922-1922, Article 1922

2021

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Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry

Nature protocols, 2021-07, Vol.16 (7), p.3572-3595

2021

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Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis

BMC cancer, 2019-05, Vol.19 (1), p.464-464, Article 464

2019

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Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning

Nature communications, 2021-04, Vol.12 (1), p.2302-2302, Article 2302

2021

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Sharper signals: how machine learning is cleaning up microscopy images

Nature (London), 2021-01, Vol.589 (7841), p.318-319

Dance, Amber

2021

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Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation

Nature communications, 2023-09, Vol.14 (1), p.5792-5792, Article 5792

2023

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Deep-LASI: deep-learning assisted, single-molecule imaging analysis of multi-color DNA origami structures

Nature communications, 2023-10, Vol.14 (1), p.6564-6564, Article 6564

2023

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3D-integrated multilayered physical reservoir array for learning and forecasting time-series information

Nature communications, 2024-03, Vol.15 (1), p.2044-2044, Article 2044

2024

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Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study

Breast cancer research : BCR, 2024-05, Vol.26 (1), p.82-82, Article 82

2024

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A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet

BMC cancer, 2023-11, Vol.23 (1), p.1-1060, Article 1060

2023

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Fully semantic segmentation for rectal cancer based on post-nCRT MRl modality and deep learning framework

BMC cancer, 2024-03, Vol.24 (1), p.315-315, Article 315

2024

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G6PD and machine learning algorithms as prognostic and diagnostic indicators of liver hepatocellular carcinoma

BMC cancer, 2024-01, Vol.24 (1), p.157-157, Article 157

2024

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Object recognition in rats and mice: a one-trial non-matching-to-sample learning task to study 'recognition memory'

Nature protocols, 2006-10, Vol.1 (3), p.1306-1311

2006

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Research on multi-model imaging machine learning for distinguishing early hepatocellular carcinoma

BMC cancer, 2024-03, Vol.24 (1), p.363-363, Article 363

2024

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How machine learning could keep dangerous DNA out of terrorists' hands

Nature (London), 2019-02, Vol.566 (7742), p.19-19

Reardon, Sara

2019

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Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability

Nature communications, 2024-03, Vol.15 (1), p.1930-1930, Article 1930

2024

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Can machine learning optimize the efficiency of the operating room in the era of COVID-19?

Canadian Journal of Surgery, 2020-12, Vol.63 (6), p.E527-E529

2020

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Deep learning-enabled segmentation of ambiguous bioimages with deepflash2

Machine Learning as Natural Monopoly

Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation

Deep learning powers a motion-tracking revolution

Unsupervised detection of cancer driver mutations with parsimony-guided learning

A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data

Mastering the game of Go without human knowledge

Neural alignment predicts learning outcomes in students taking an introduction to computer science course

Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry

Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis

Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning

Sharper signals: how machine learning is cleaning up microscopy images

Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation

Deep-LASI: deep-learning assisted, single-molecule imaging analysis of multi-color DNA origami structures

3D-integrated multilayered physical reservoir array for learning and forecasting time-series information

Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study

A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet

Fully semantic segmentation for rectal cancer based on post-nCRT MRl modality and deep learning framework

G6PD and machine learning algorithms as prognostic and diagnostic indicators of liver hepatocellular carcinoma

Object recognition in rats and mice: a one-trial non-matching-to-sample learning task to study 'recognition memory'

Research on multi-model imaging machine learning for distinguishing early hepatocellular carcinoma

How machine learning could keep dangerous DNA out of terrorists' hands

Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability

Can machine learning optimize the efficiency of the operating room in the era of COVID-19?

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