Search Results for author: Tinashe E. M. Mutsvangwa

Found 3 papers, 1 papers with code

Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations

no code implementations19 Dec 2023 Alyssa R. Amod, Alexandra Smith, Pearly Joubert, Confidence Raymond, Dong Zhang, Udunna C. Anazodo, Dodzi Motchon, Tinashe E. M. Mutsvangwa, Sébastien Quetin

We replicated a framework that secured the 2nd position in the 2022 BraTS competition to investigate the impact of dataset composition on model performance and pursued four distinct approaches through training a model with: 1) BraTS-Africa data only (train_SSA, N=60), 2) BraTS-Adult Glioma data only (train_GLI, N=1251), 3) both datasets together (train_ALL, N=1311), and 4) through further training the train_GLI model with BraTS-Africa data (train_ftSSA).

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

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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