A statistical shape model to predict the premorbid glenoid cavity

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Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Daniel Kuhn, Viet Anh Nguyen, Peyman Mohajerin Esfahani, Soroosh Shafieezadeh Abadeh

Many decision problems in science, engineering and economics are affected by uncertain parameters whose distribution is only indirectly observable through samples. The goal of data-driven decision-making is to learn a decision from finitely many training s ...

2019

Regularization via Mass Transportation

Daniel Kuhn, Peyman Mohajerin Esfahani, Soroosh Shafieezadeh Abadeh

The goal of regression and classification methods in supervised learning is to minimize the empirical risk, that is, the expectation of some loss function quantifying the prediction error under the empirical distribution. When facing scarce training data, ...

2019

A Closed-Loop EMG-Assisted Shoulder Model

Ehsan Sarshari

The human shoulder is a complex musculoskeletal system. Knowledge about its kinematics and dynamics can help improve associated treatments. However, to date direct measurements of these quantities can be only granted through invasive investigations or expe ...

EPFL2018

Data-Driven Inverse Optimization with Incomplete Information

Daniel Kuhn, Peyman Mohajerin Esfahani, Soroosh Shafieezadeh Abadeh, Grani Adiwena Hanasusanto

In data-driven inverse optimization an observer aims to learn the preferences of an agent who solves a parametric optimization problem depending on an exogenous signal. Thus, the observer seeks the agent's objective function that best explains a historical ...

2018

Distinct distances between points and lines

Frank de Zeeuw, Adrian Claudiu Valculescu

We show that for m points and n lines in R-2, the number of distinct distances between the points and the lines is Omega(m(1/5)n(3/5)), as long as m(1/2)

Elsevier Science Bv2018

A semi-automated quantitative CT method for measuring rotator cuff muscle degeneration in shoulders with primary osteoarthritis

Alexandre Terrier, Alain Farron, Julien Ston, Antoine Dewarrat

Background: Rotator cuff muscle degeneration is an important parameter to consider when planning shoulder arthroplasty. Hypothesis: We hypothesized that rotator cuff muscle degeneration is correlated with scapulohumeral subluxation in patients planned for ...

Elsevier Masson2017

Effects of glenoid inclination and acromion index on humeral head translation and glenoid articular cartilage strain

Dominique Pioletti, Alexandre Terrier, Alain Farron, Christoph Anselm Engelhardt

Previous clinical studies have reported associations between glenoid inclination (GI), the acromion index (AI), and the critical shoulder angle (CSA) on the one hand and the occurrence of glenohumeral osteoarthritis and supraspinatus tendon tears on the ot ...

Elsevier2017

Cement stress predictions after anatomic total shoulder arthroplasty are correlated with preoperative glenoid bone quality

Alexandre Terrier, Alain Farron, Raphaël Rodolphe Obrist

Hypothesis: We hypothesized that biomechanical parameters typically associated with glenoid implant failure after anatomic total shoulder arthroplasty (aTSA) would be correlated with preoperative glenoid bone quality. Methods: We developed an objective aut ...

Elsevier2017

Alignment of collagen fiber in knitted silk scaffold for functional massive rotator cuff repair

Dominique Pioletti, Ting Zhu

Rotator cuff tear is one of the most common types of shoulder injuries, often resulting in pain and physical debilitation. Allogeneic tendon-derived decellularized matrices do not have appropriate pore size and porosity to facilitate cell infiltration, whi ...

Elsevier2017