Uta Brattoli (geb. Büchler)

Applied Scientist at Amazon


Publications

Unsupervised behaviour analysis and magnification (uBAM) using deep learning

U. Büchler*, B. Brattoli*, M. Dorkenwald, P. Reiser, L. Filli, F. Helmchen, A.-S. Wahl and B. Ommer
Nature Machine Intelligence

Visual Representation Learning with Minimal Supervision

U. Büchler
Ph.D. Thesis
2020

Unsupervised Magnification of Posture Deviations Across Subjects

U. Büchler*, M. Dorkenwald* and B. Ommer
Conference on Computer Vision and Pattern Recognition
CVPR 2020

Divide and Conquer the Embedding Space for Metric Learning

A. Sanakoyeu, V. Tschernezki, U. Büchler and B. Ommer
Conference on Computer Vision and Pattern Recognition
CVPR 2019

BibTex

Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning

U. Büchler*, B. Brattoli* and B. Ommer
European Conference on Computer Vision
ECCV 2018

BibTex

Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats

A.-S. Wahl, E. Erlebach, B. Brattoli, U. Büchler, J. Kaiser, B.V. Ineichen, A.C. Mosberger, S. Schneeberger, S. Imobersteg, M. Wieckhorst, M. Stirn, A. Schroeter, B. Ommer and M.E. Schwab
Journal of Cerebral Blood Flow & Metabolism
Published 2018

Optogenetically stimulating intact rat corticospinal tract post-stroke restores motor control through regionalized functional circuit formation

A.-S. Wahl*, U. Büchler*, A. Brändli, B. Brattoli, S. Musall, H. Kasper, B.V. Ineichen, F. Helmchen, M.E. Schwab and B. Ommer
Nature Communications Journal
Published 2017

LSTM Self-Supervision for Detailed Behavior Analysis

B. Brattoli*, U. Büchler*, A.-S. Wahl, M.E. Schwab and B. Ommer
Conference on Computer Vision and Pattern Recognition
CVPR 2017

BibTex

Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery

B. Antic*, U. Büchler*, A.-S. Wahl, M. E. Schwab and B. Ommer
International Conference on Medical Image Computing and Computer Assisted Interventions
MICCAI 2015, Oral presentation

BibTex

*Indicates equal contribution