Search Results for author: Martin Feder

Found 2 papers, 0 papers with code

Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving

no code implementations1 Mar 2023 Martin Feder, Michal Horovitz, Assaf Chen, Raphael Linker, Ofer M. Shir

We describe the lessons learned from targeting agricultural detection problem-solving, when subject to low resolution input maps, by means of Machine Learning-based super-resolution approaches.

Super-Resolution

Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging

no code implementations MIDL 2019 David H. Silver, Martin Feder, Yael Gold-Zamir, Avital L. Polsky, Shahar Rosentraub, Efrat Shachor, Adi Weinberger, Pavlo Mazur, Valery D. Zukin, Alex M. Bronstein

The process of fertilizing a human egg outside the body in order to help those suffering from infertility to conceive is known as in vitro fertilization (IVF).

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