Machine Learning Applications in Spine Biomechanics

no code implementations • 10 Jan 2024 • Farshid Ghezelbash, Amir Hossein Eskandari, Xavier Robert-Lachaine, Frank Cao, Mehran Pesteie, Zhuohua Qiao, Aboulfazl Shirazi-Adl, Christian Larivière

Spine biomechanics is at a transformation with the advent and integration of machine learning and computer vision technologies.

Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery

1 code implementation • 27 Jun 2019 • Amir H. Abdi, Mehran Pesteie, Eitan Prisman, Purang Abolmaesumi, Sidney Fels

The premorbid geometry of the mandible is of significant relevance in jaw reconstructive surgeries and occasionally unknown to the surgical team.

Deep Neural Maps

1 code implementation • 16 Oct 2018 • Mehran Pesteie, Purang Abolmaesumi, Robert Rohling

We introduce a new unsupervised representation learning and visualization using deep convolutional networks and self organizing maps called Deep Neural Maps (DNM).

Representation Learning

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

no code implementations • 25 Feb 2017 • Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III

In this study, we aim to answer the following central questions regarding domain adaptation in medical image analysis: Given a fitted legacy model, 1) How much data from the new domain is required for a decent adaptation of the original network?

Domain Adaptation Lesion Segmentation +1