Literature DB >> 34131324

Synthetic data in machine learning for medicine and healthcare.

Richard J Chen1,2,3,4, Ming Y Lu1,3,4, Tiffany Y Chen1,3, Drew F K Williamson1,3, Faisal Mahmood5,6,7.   

Abstract

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Year:  2021        PMID: 34131324      PMCID: PMC9353344          DOI: 10.1038/s41551-021-00751-8

Source DB:  PubMed          Journal:  Nat Biomed Eng        ISSN: 2157-846X            Impact factor:   29.234


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  29 in total

Review 1.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

2.  The Tipping Point for Deep Learning in Oncology.

Authors:  Andrew Daniel Trister
Journal:  JAMA Oncol       Date:  2019-10-01       Impact factor: 31.777

3.  Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.

Authors:  Faisal Mahmood; Richard Chen; Nicholas J Durr
Journal:  IEEE Trans Med Imaging       Date:  2018-06-01       Impact factor: 10.048

4.  EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.

Authors:  Kutsev Bengisu Ozyoruk; Guliz Irem Gokceler; Taylor L Bobrow; Gulfize Coskun; Kagan Incetan; Yasin Almalioglu; Faisal Mahmood; Eva Curto; Luis Perdigoto; Marina Oliveira; Hasan Sahin; Helder Araujo; Henrique Alexandrino; Nicholas J Durr; Hunter B Gilbert; Mehmet Turan
Journal:  Med Image Anal       Date:  2021-04-15       Impact factor: 8.545

5.  Comprehensive AAV capsid fitness landscape reveals a viral gene and enables machine-guided design.

Authors:  Pierce J Ogden; Eric D Kelsic; Sam Sinai; George M Church
Journal:  Science       Date:  2019-11-29       Impact factor: 47.728

6.  Simulation and Synthesis in Medical Imaging.

Authors:  Alejandro F Frangi; Sotirios A Tsaftaris; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2018-03       Impact factor: 10.048

7.  Medical Image Synthesis with Deep Convolutional Adversarial Networks.

Authors:  Dong Nie; Roger Trullo; Jun Lian; Li Wang; Caroline Petitjean; Su Ruan; Qian Wang; Dinggang Shen
Journal:  IEEE Trans Biomed Eng       Date:  2018-03-09       Impact factor: 4.538

8.  Telehealth transformation: COVID-19 and the rise of virtual care.

Authors:  Jedrek Wosik; Marat Fudim; Blake Cameron; Ziad F Gellad; Alex Cho; Donna Phinney; Simon Curtis; Matthew Roman; Eric G Poon; Jeffrey Ferranti; Jason N Katz; James Tcheng
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

9.  Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data.

Authors:  Allison Shapiro; Nicole Marinsek; Ieuan Clay; Benjamin Bradshaw; Ernesto Ramirez; Jae Min; Andrew Trister; Yuedong Wang; Tim Althoff; Luca Foschini
Journal:  Patterns (N Y)       Date:  2020-12-13

10.  Evaluating the utility of synthetic COVID-19 case data.

Authors:  Khaled El Emam; Lucy Mosquera; Elizabeth Jonker; Harpreet Sood
Journal:  JAMIA Open       Date:  2021-03-01
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  17 in total

Review 1.  Shifting machine learning for healthcare from development to deployment and from models to data.

Authors:  Angela Zhang; Lei Xing; James Zou; Joseph C Wu
Journal:  Nat Biomed Eng       Date:  2022-07-04       Impact factor: 25.671

Review 2.  Automation in ART: Paving the Way for the Future of Infertility Treatment.

Authors:  Kadrina Abdul Latif Abdullah; Tomiris Atazhanova; Alejandro Chavez-Badiola; Sourima Biswas Shivhare
Journal:  Reprod Sci       Date:  2022-08-03       Impact factor: 2.924

3.  Generative adversarial networks and synthetic patient data: current challenges and future perspectives.

Authors:  Anmol Arora; Ananya Arora
Journal:  Future Healthc J       Date:  2022-07

4.  Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation.

Authors:  Ziqi Zhang; Chao Yan; Bradley A Malin
Journal:  J Am Med Inform Assoc       Date:  2022-10-07       Impact factor: 7.942

Review 5.  Artificial intelligence in histopathology: enhancing cancer research and clinical oncology.

Authors:  Artem Shmatko; Narmin Ghaffari Laleh; Moritz Gerstung; Jakob Nikolas Kather
Journal:  Nat Cancer       Date:  2022-09-22

6.  Swarm learning for decentralized artificial intelligence in cancer histopathology.

Authors:  Oliver Lester Saldanha; Philip Quirke; Nicholas P West; Jacqueline A James; Maurice B Loughrey; Heike I Grabsch; Manuel Salto-Tellez; Elizabeth Alwers; Didem Cifci; Narmin Ghaffari Laleh; Tobias Seibel; Richard Gray; Gordon G A Hutchins; Hermann Brenner; Marko van Treeck; Tanwei Yuan; Titus J Brinker; Jenny Chang-Claude; Firas Khader; Andreas Schuppert; Tom Luedde; Christian Trautwein; Hannah Sophie Muti; Sebastian Foersch; Michael Hoffmeister; Daniel Truhn; Jakob Nikolas Kather
Journal:  Nat Med       Date:  2022-04-25       Impact factor: 87.241

7.  A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.

Authors:  Jorge Marquez Chavez; Wei Tang
Journal:  Sensors (Basel)       Date:  2022-06-13       Impact factor: 3.847

8.  Towards Effective Patient Simulators.

Authors:  Vadim Liventsev; Aki Härmä; Milan Petković
Journal:  Front Artif Intell       Date:  2021-12-15

9.  LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using Wireless Sensor Network.

Authors:  Abhilash Singh; J Amutha; Jaiprakash Nagar; Sandeep Sharma; Cheng-Chi Lee
Journal:  Sensors (Basel)       Date:  2022-01-29       Impact factor: 3.576

10.  Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.

Authors:  Daniele Ravi; Stefano B Blumberg; Silvia Ingala; Frederik Barkhof; Daniel C Alexander; Neil P Oxtoby
Journal:  Med Image Anal       Date:  2021-10-14       Impact factor: 8.545

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