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BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices

PLoS biology, 2020-04, Vol.18 (4), p.e3000678-e3000678

2020

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Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Nature communications, 2023-07, Vol.14 (1), p.4039-12, Article 4039

2023

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Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Nature communications, 2024-06, Vol.15 (1), p.4817-1

2024

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The promise of machine learning applications in solid organ transplantation

NPJ digital medicine, 2022-07, Vol.5 (1), p.89-89, Article 89

2022

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Monoallelic Heb/Tcf12 Deletion Reduces the Requirement for NOTCH1 Hyperactivation in T-Cell Acute Lymphoblastic Leukemia

Frontiers in immunology, 2022-03, Vol.13, p.867443-867443

2022

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Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.529-536

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Deep semantic segmentation of natural and medical images: a review

The Artificial intelligence review, 2021, Vol.54 (1), p.137-178

2021

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Count-ception: Counting by Fully Convolutional Redundant Counting

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017, p.18-26

2017

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Problems in the deployment of machine-learned models in health care

Canadian Medical Association journal (CMAJ), 2021-09, Vol.193 (35), p.E1391-E1394

2021

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Implementing machine learning in medicine

Canadian Medical Association journal (CMAJ), 2021-08, Vol.193 (34), p.E1351-E1357

2021

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Medical Image Segmentation Review: The Success of U-Net

IEEE transactions on pattern analysis and machine intelligence, 2024-08, Vol.PP, p.1-20

2024

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Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition

Bioinformatics (Oxford, England), 2020-07, Vol.36 (Supplement_1), p.i417-i426

2020

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Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction

Predictive Intelligence in Medicine, 2020, Vol.12329, p.156-168

2020

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Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning

Curēus (Palo Alto, CA), 2020-07

2020

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Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé

Canadian Medical Association journal (CMAJ), 2021-11, Vol.193 (44), p.E1716-E1719

2021

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Rapid building detection using machine learning

Applied intelligence (Dordrecht, Netherlands), 2016-09, Vol.45 (2), p.443-457

2016

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Mise en œuvre de l’apprentissage machine en santé

Canadian Medical Association journal (CMAJ), 2021-11, Vol.193 (44), p.E1708-E1715

2021

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The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents

British journal of radiology, 2022-11, Vol.95 (1139), p.20210688-20210688

2022

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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Computer Vision - ECCV 2020, 2020, Vol.12353, p.590-607

2020

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Role for Stearoyl-CoA Desaturase-1 in Leptin-Mediated Weight Loss

Science (American Association for the Advancement of Science), 2002-07, Vol.297 (5579), p.240-243

2002

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COVID-19 Image Data Collection: Prospective Predictions are the Future

Machine Learning for Biomedical Imaging, 2020-12, Vol.1 (December 2020), p.1-38

2020

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CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.326-336

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PASA: Passive broadcast for smartphone ad-hoc networks

2014 23rd International Conference on Computer Communication and Networks (ICCCN), 2014, p.1-8

2014

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Automated crater detection using machine learning

Cohen, Joseph Paul

2016

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Crater detection via genetic search methods to reduce image features

Cohen, Joseph Paul

2013

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BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

The promise of machine learning applications in solid organ transplantation

Monoallelic Heb/Tcf12 Deletion Reduces the Requirement for NOTCH1 Hyperactivation in T-Cell Acute Lymphoblastic Leukemia

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

Deep semantic segmentation of natural and medical images: a review

Count-ception: Counting by Fully Convolutional Redundant Counting

Problems in the deployment of machine-learned models in health care

Implementing machine learning in medicine

Medical Image Segmentation Review: The Success of U-Net

Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition

Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction

Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning

Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé

Rapid building detection using machine learning

Mise en œuvre de l’apprentissage machine en santé

The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Role for Stearoyl-CoA Desaturase-1 in Leptin-Mediated Weight Loss

COVID-19 Image Data Collection: Prospective Predictions are the Future

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

PASA: Passive broadcast for smartphone ad-hoc networks

Automated crater detection using machine learning

Crater detection via genetic search methods to reduce image features

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