Gustavo Carneiro is a professor of the School of Computer Science at the University of Adelaide and the Director of Medical Machine Learning at the Australian Institute of Machine Learning. He joined the University of Adelaide as a senior lecturer in 2011, has become an associate professor in 2015 and a professor in 2019. In 2014 and 2019, he joined the Technical University of Munich as a visiting professor and a Humboldt fellow. From 2008 to 2011 Dr. Carneiro was a Marie Curie IIF fellow and a visiting assistant professor at the Instituto Superior Tecnico (Lisbon, Portugal) within the Carnegie Mellon University-Portugal program (CMU-Portugal). From 2006 to 2008, Dr. Carneiro was a research scientist at Siemens Corporate Research in Princeton, USA. In 2005, he was a post-doctoral fellow at the the University of British Columbia and at the University of California San Diego. Dr. Carneiro received his Ph.D. in computer science from the University of Toronto in 2004.
His main research interest are in the fields of computer vision, medical image analysis and machine learning.
Two papers accepted to Medical Image Analysis. One on pre-hoc and post-hoc methods (pre-print, video, tweet, on the media - The Advertiser) and another on cartilage tracking from ultraound using siamese Unets (pre-print)
Paper accepted to TPAMI (with Jacinto Nascimento) on One shot segmentation: unifying rigid detection and non-rigid segmentation using elastic regularization (pre-print)
Two papers accepted to Ultrasound in Medicine & Biology (2019). One on Ultrasound imaging quality assessment (pre-print) and another on knee segmentation from ultrasound (pre-print)