Justin Szeto - New York, New York, United States - LinkedIn
Justin Szeto Data-driven, self-directed, and confident Manager with proven background in coding and data aggregation, and polished experience in process improvements, inventory,...
来自linkedin.com的其他内容Justin Szeto - Google Scholar
B Nichyporuk, K Vasilevski, A Hu, C Myers-Colet, J Cardinell, J Szeto, ... MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation … , 2021 1
Justin Szeto - San Mateo, California, United States
Justin Szeto Data-driven, self-directed, and confident Manager with proven background in coding and data aggregation, and polished experience in process improvements, inventory,...
Justin Szeto - Senior Supply Chain Manager - Philips - LinkedIn
Justin Szeto Data-driven, self-directed, and confident Manager with proven background in coding and data aggregation, and polished experience in process improvements, inventory,...
Justin Szeto | Mila
Justin Szeto Justin Szeto Master's Research - McGill University. Supervisor. Tal Arbel. Research Topics. Computer Vision. Deep Learning. Medical Machine Learning. GitHub. 6666, St-Urbain, …
Justin Szeto - Montreal, Quebec, Canada | Professional Profile
View Justin Szeto’s profile on LinkedIn, a professional community of 1 billion members. Machine Learning Developer at Sama · Experience: Sama · Education: McGill University ·...
justin.szeto (at) mail.mcgill.ca | https://www.linkedin.com/in/justin-szeto/ Education Master of Science (Thesis) in Electrical and Computer Engineering Sep 2020 – Present
Justin Szeto - Centre for Intelligent Machines
B. Nichyporuk, J. Szeto, D.L. Arnold and T. Arbel, "Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting", the 4th …
Justin Szeto - Engineer, Systems Architecture - T …
I am currently an Engineer at T-Mobile. | Learn more about Justin Szeto's work experience, education, connections & more by visiting their profile on LinkedIn
Justin Szeto | Papers With Code
no code implementations • 5 Nov 2023 • Eric Zimmermann, Justin Szeto, Jerome Pasquero, Frederic Ratle Benchmark datasets are used to profile and compare algorithms across a …
