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Meetups

RSIP Vision has a long tradition of communication and education in the fields of computer vision and artificial intelligence. The most evident example is our acclaimed magazine Computer Vision News, which has already donated  thousands of pages of free and exclusive scientific knowledge to our community. But this is far from being our only initiative. RSIP Vision has created the San Francisco Bay Area Meetup group dedicated to artificial intelligence for medical imaging, that contains over one thousand members, reunites regularly in Cupertino, CA (and now virtually), around top speakers from both the industry and the academia.

 

Next Generation Cancer Diagnosis – Empowering Ultrasound as a Ubiquitous High-Precision Diagnostics Tool

 Invited speakers: Sergio Sanabria, Stanford University Qingyu Zhao, Stanford University Confounder-aware Deep Learning in Neuroimaging Studies

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Deep learning for medical image analysis: many challenges, some solutions

 Invited speakers: Mehdi Moradi, IBM Research, Almaden Research Lab Moshe Safran, CEO at RSIP Vision USA Best Practices in Applied Deep Learning for Digital Pathology Multiplex

Read More

Confounders in Medical Studies and Deep Learning

 Invited speakers: Ehsan Adeli, Researcher at Stanford University Tullie Murrell, Applied Research Scientist at FAIR (Facebook AI Research) Robust, accelerated MRI acquisition using AI

Read More

AI Approaches to Medical Imaging

 Invited speakers: Professor Daniel L. Rubin, MD – the Department of Biomedical Data Science at Stanford University Professor Irina M. Conboy, PhD – the College of Engineering

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Tearing down the Walls to bring ML to Healthcare

 Invited speakers: John Axerio-Cilies – CTO and Founder, Arterys Ron Soferman – CEO, RSIP Vision – Challenges in Project Management for Medical AI Cupertino, CA.

Read More

Artificial Intelligence in Medical Imaging

 Invited speakers: Dr. Aïcha BenTaieb, Research scientist at Roche Dr. Michiel Schaap, Director of imaging science at HeartFlow Dr. Mayank Kumar, Head of research at Gauss Surgical (not

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Next Generation Cancer Diagnosis – Empowering Ultrasound as a Ubiquitous High-Precision Diagnostics Tool

 Invited speakers: Sergio Sanabria, Stanford University Qingyu Zhao, Stanford University Confounder-aware Deep Learning in Neuroimaging Studies

Read More

Deep learning for medical image analysis: many challenges, some solutions

 Invited speakers: Mehdi Moradi, IBM Research, Almaden Research Lab Moshe Safran, CEO at RSIP Vision USA Best Practices in Applied Deep Learning for Digital Pathology Multiplex

Read More

Confounders in Medical Studies and Deep Learning

 Invited speakers: Ehsan Adeli, Researcher at Stanford University Tullie Murrell, Applied Research Scientist at FAIR (Facebook AI Research) Robust, accelerated MRI acquisition using AI

Read More

AI Approaches to Medical Imaging

 Invited speakers: Professor Daniel L. Rubin, MD – the Department of Biomedical Data Science at Stanford University Professor Irina M. Conboy, PhD – the College of Engineering

Read More

Tearing down the Walls to bring ML to Healthcare

 Invited speakers: John Axerio-Cilies – CTO and Founder, Arterys Ron Soferman – CEO, RSIP Vision – Challenges in Project Management for Medical AI Cupertino, CA.

Read More

Artificial Intelligence in Medical Imaging

 Invited speakers: Dr. Aïcha BenTaieb, Research scientist at Roche Dr. Michiel Schaap, Director of imaging science at HeartFlow Dr. Mayank Kumar, Head of research at Gauss Surgical (not

Read More
< Page1 Page2 >

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