Articles from gateway Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning

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Study Protocol metrics

Development of a deep neural network derived from contours defined by consensus-based guidelines for automatic target segmentation in hepatocellular carcinoma radiotherapy: A study protocol

[version 1; peer review: 1 approved, 1 approved with reservations]

Jiandong Zhao, Jiazhou Wang, Mingxia Cheng

Peer Reviewers Laura A. Dawson; Sergio Casciaro

Funder
Shangfang Health Inc.

PUBLISHED 01 Nov 2017

Correspondence metrics

Unintended consequences of machine learning in medicine?

[version 1; peer review: 2 approved]

Laura McDonald, Sreeram V. Ramagopalan, Andrew P. Cox, Mustafa Oguz

Peer Reviewers Arturo Gonzalez-Izquierdo, Maria Pikoula and Spiros Denaxas; Hugo Schnack and Zimbo Boudewijns

PUBLISHED 19 Sep 2017

Data Note metrics

Revised

Prenatal brain MRI samples for development of automatic segmentation, target-recognition, and machine-learning algorithms to detect anatomical structures

[version 2; peer review: 2 not approved]

Hugues Gentillon, Ludomir Stefańczyk, Michał Strzelecki, Maria Respondek-Liberska

Peer Reviewers Ivana Išgum; Feng Shi

Funders
Polish National Health Fund
Medical University of Lodz & Polish Research Committee
Swedish Ministry of Education and Research
U.S. Department of Education

LATEST VERSION PUBLISHED 08 Sep 2017

Study Protocol metrics

Revised

Automated analysis of retinal imaging using machine learning techniques for computer vision

[version 2; peer review: 2 approved]

Jeffrey De Fauw, Pearse Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cian O Hughes, Carlton Chu, Joseph Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise

Peer Reviewers Yit Yang; Sandrine Zweifel

Funder
DeepMind

LATEST VERSION PUBLISHED 22 Jun 2017

Research Article metrics

Revised

Machine learning models identify molecules active against the Ebola virus in vitro

[version 3; peer review: 2 approved]

Sean Ekins, Joel S. Freundlich, Alex M. Clark, Manu Anantpadma, Robert A. Davey, Peter Madrid

Peer Reviewers Sanja Glisic; Sandeep Chakraborty

LATEST VERSION PUBLISHED 17 Jan 2017

Study Protocol metrics PEER REVIEW DISCONTINUED

Peer review at F1000Research is author-driven. Currently no reviewers have been invited. What does this mean?

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans

[version 1; peer review: 1 approved with reservations]

Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera Paredes, Cían Hughes, Joseph Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise

Peer Reviewers Yuan Feng

PUBLISHED 30 Aug 2016

Software Tool Article metrics

Revised

DREAMTools: a Python package for scoring collaborative challenges

[version 2; peer review: 1 approved, 2 approved with reservations]

Thomas Cokelaer, Mukesh Bansal, Christopher Bare, Erhan Bilal, Brian M. Bot, Elias Chaibub Neto, Federica Eduati, Alberto de la Fuente, Mehmet Gönen, Steven M. Hill, Bruce Hoff, Jonathan R. Karr, Robert Küffner, Michael P. Menden, Pablo Meyer, Raquel Norel, Abhishek Pratap, Robert J. Prill, Matthew T. Weirauch, James C. Costello, Gustavo Stolovitzky, Julio Saez-Rodriguez

Peer Reviewers Konrad Hinsen; Rafael Najmanovich; Nicola J. Mulder

LATEST VERSION PUBLISHED 08 Apr 2016

Method Article metrics

Prediction of fine-tuned promoter activity from DNA sequence

[version 1; peer review: 1 approved, 2 approved with reservations]

Geoffrey Siwo, Andrew Rider, Asako Tan, Richard Pinapati, Scott Emrich, Nitesh Chawla, Michael Ferdig

Peer Reviewers Paul Pavlidis; Jianhua Ruan; Jan Grau

PUBLISHED 11 Feb 2016

Method Article metrics

Update

Prediction of multi-drug resistance transporters using a novel sequence analysis method

[version 2; peer review: 2 approved]

Jason E. McDermott, Paul Bruillard, Christopher C. Overall, Luke Gosink, Stephen R. Lindemann

Peer Reviewers Robert Flight; David Anthony Baltrus

LATEST VERSION PUBLISHED 29 May 2015

Gateway Areas

Fundamentals in AI and Machine Learning

This area focuses on recent breakthroughs, important advancements, and research findings in the domains of artificial intelligence... Read more
AI in Medicine and Healthcare

This area focuses on the transdisciplinary domain of AI applied to medicine and healthcare and aims to further leverage the... Read more
AI in Manufacturing, Materials and Smart Cities

This area aims to utilize the functionality and forward-thinking nature of AI and Machine Learning in order to improve engineering... Read more
AI in Humanities and Social Sciences

This area focuses on the use of AI across the social sciences and humanities, and the impact of AI in these disciplines.... Read more
AI and Cybersecurity

Cybersecurity is one of the biggest concerns of modern societies - for governments, companies and individuals. At the forefront... Read more

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