Search Results for author: Bhushan Borotikar

Found 8 papers, 1 papers with code

Dynamic multi feature-class Gaussian process models

no code implementations8 Dec 2021 Jean-Rassaire Fouefack, Bhushan Borotikar, Marcel Lüthi, Tania S. Douglas, Valérie Burdin, Tinashe E. M. Mutsvangwa

A deformation field-based metric is adapted in the method for modelling shape and intensity feature variation as well as for comparing rigid transformations (pose).

Decision Making Management

Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

no code implementations21 May 2021 Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar

Automatic segmentation of magnetic resonance (MR) images is crucial for morphological evaluation of the pediatric musculoskeletal system in clinical practice.

Anatomy Segmentation

Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization

no code implementations25 Jan 2021 Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze

Automatic segmentation of the musculoskeletal system in pediatric magnetic resonance (MR) images is a challenging but crucial task for morphological evaluation in clinical practice.

Anatomy Segmentation

Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints

1 code implementation22 Jan 2020 Jean-Rassaire Fouefack, Bhushan Borotikar, Tania S. Douglas, Valérie Burdin, Tinashe E. M. Mutsvangwa

In this paper, we propose a new framework for dynamic multi-object statistical modelling framework for the analysis of human joints in a continuous domain.

Management Pose Prediction

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