Łukasz Kidziński | DeepAI

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∙ 12/22/2020

Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning

Objective: We evaluate a fully-automated femoral cartilage segmentation ...

13 Kevin A. Thomas, et al. ∙

∙ 10/06/2020

Generalized Matrix Factorization

Unmeasured or latent variables are often the cause of correlations betwe...

13 Łukasz Kidziński, et al. ∙

∙ 06/24/2020

3D Pose Detection in Videos: Focusing on Occlusion

In this work, we build upon existing methods for occlusion-aware 3D pose...

0 Justin Wang, et al. ∙

∙ 05/26/2019

Modeling treatment events in disease progression

Ability to quantify and predict progression of a disease is fundamental ...

0 Guanyang Wang, et al. ∙

∙ 04/10/2019

Google Street View image of a house predicts car accident risk of its resident

Road traffic injuries are a leading cause of death worldwide. Proper est...

0 Kinga Kita, et al. ∙

∙ 02/07/2019

Artificial Intelligence for Prosthetics - challenge solutions

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...

0 Łukasz Kidziński, et al. ∙

∙ 09/24/2018

Longitudinal data analysis using matrix completion

In clinical practice and biomedical research, measurements are often col...

4 Łukasz Kidziński, et al. ∙

∙ 04/02/2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

In the NIPS 2017 Learning to Run challenge, participants were tasked wit...

0 Łukasz Kidziński, et al. ∙

∙ 03/31/2018

Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning

Synthesizing physiologically-accurate human movement in a variety of con...

0 Łukasz Kidziński, et al. ∙

∙ 09/10/2017

SweetRS: Dataset for a recommender systems of sweets

Benchmarking recommender system and matrix completion algorithms could b...

0 Łukasz Kidziński, et al. ∙

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