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Relevant Projects

Photo of Ron Kimmel
Professor
Shape reconstruction

Computational methods in stereoscopic imaging and other depth from X, recognition, and understanding.

Non-rigid shape analysis

Finding computational methods for matching and analysis of non-rigid shapes. From a computational point of view we cannot use convolution here, so we design and explore other deep learning venues.

Computational Pathology

Using H&E-stained histology slides to predict treatment outcomes for efficient cancer treatment.  We use all variations of deep learning (mainly CNNs).