Author Page for Matthew P. Lungren

Machine Vision, Medical AI, and Malpractice

Zach Harned, Matthew P. Lungren & Pranav Rajpurkar, Comment, Machine Vision, Medical AI, and Malpractice, Harv. J.L. & Tech. Dig. (2019)

Number of pages: 10 Posted: 28 Aug 2019

Zach Harned, Matthew P. Lungren and Pranav Rajpurkar

Stanford Law School, Stanford University - Center for Artificial Intelligence in Medicine and Imaging and Stanford University - Department of Computer Science

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Citation 1

Abstract:

2.

PENet - A Scalable Deep-Learning Model for Automated Diagnosis of Pulmonary Embolism Using Volumetric CT Imaging

Number of pages: 14 Posted: 16 May 2019

Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Andrew Y. Ng and Matthew P. Lungren

Stanford University, School of Medicine, Center for Population Health Sciences, Department of Biomedical Data Science, Stanford University - Department of Computer Science, Stanford University - Department of Biomedical Data Science, Stanford University - Department of Computer Science, Stanford University, Stanford University - Department of Computer Science, Stanford University - Department of Computer Science, Stanford University, Stanford University - Department of Computer Science, Stanford University - Department of Computer Science, Stanford University, Stanford University - Department of Computer Science and Stanford University - Center for Artificial Intelligence in Medicine and Imaging

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Abstract:

3.

Multi-Institution Encrypted Medical Imaging Ai Validation Without Data Sharing

Downloads 60 (961,006)

Citation 1

2

Multi-Institution Encrypted Medical Imaging Ai Validation Without Data Sharing

Number of pages: 10 Posted: 17 Feb 2022

Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan and Matthew P. Lungren

Stanford University - School of Medicine, Microsoft Research, Bengaluru, CARING Research, Microsoft Research, Bengaluru, Microsoft Research, Bengaluru, Microsoft Research, Cambridge, Microsoft Research, Bengaluru, CARING Research and Stanford University - Center for Artificial Intelligence in Medicine and Imaging

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Abstract:

Multi-Institution Encrypted Medical Imaging AI Validation Without Data Sharing

Number of pages: 12 Posted: 13 Oct 2021

Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan and Matthew P. Lungren

Stanford University - School of Medicine, Microsoft Research, Bengaluru, CARING Research, Microsoft Research, Bengaluru, Microsoft Research, Bengaluru, Microsoft Research, Cambridge, Microsoft Research, Bengaluru, CARING Research and Stanford University - Center for Artificial Intelligence in Medicine and Imaging

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Citation 1

Matthew P. Lungren

Stanford University - Center for Artificial Intelligence in Medicine and Imaging

Stanford University, School of Medicine, Center for Population Health Sciences, Department of Biomedical Data Science

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Scholarly Papers (3)

Machine Vision, Medical AI, and Malpractice

Abstract:

PENet - A Scalable Deep-Learning Model for Automated Diagnosis of Pulmonary Embolism Using Volumetric CT Imaging

Abstract:

Multi-Institution Encrypted Medical Imaging Ai Validation Without Data Sharing

Multi-Institution Encrypted Medical Imaging Ai Validation Without Data Sharing

Abstract:

Multi-Institution Encrypted Medical Imaging AI Validation Without Data Sharing

Abstract: