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Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models

Author(s): Gheflati B; Mirzaei M; Rottoo S; Rivaz H;

Purpose: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical parameters. To address this limitation, this paper proposes a novel deep learning-based anatomically par ...

Article GUID: 39953355


3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography.

Author(s): Mirzaei M, Asif A, Fortin M, Rivaz H

Ultrasonics. 2019 Nov 09;102:106053 Authors: Mirzaei M, Asif A, Fortin M, Rivaz H

Article GUID: 31790861


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